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Andreas Spanias

Andreas S. Spanias

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affiliation: Arizona State University, Tempe, Arizona, USA

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2020 – today

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2024
[c226]
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Deep Pujara, David Ramirez, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias:
Real-time PV Fault Detection using Embedded Machine Learning. ICPS 2024: 1-5
[c225]
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  - conf/mlsp/NaikUJMS24
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Salil Naik, Glen S. Uehara, Kristen Jaskie, Leslie Miller, Andreas Spanias:
Quantum Positive Unlabeled Learning Algorithms with Applications to Energy. MLSP 2024: 1-6
2023
[j70]
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  - journals/access/NarayanaswamyAT23
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Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias:
Optimizing Solar Power Using Array Topology Reconfiguration With Regularized Deep Neural Networks. IEEE Access 11: 7461-7470 (2023)
[j69]
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  - journals/access/KatochISJ23
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Sameeksha Katoch, Odrika Iqbal, Andreas Spanias, Suren Jayasuriya:
Energy-Efficient Object Tracking Using Adaptive ROI Subsampling and Deep Reinforcement Learning. IEEE Access 11: 41995-42011 (2023)
[j68]
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  - journals/pieee/JayasuriyaIKMLS23
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Suren Jayasuriya, Odrika Iqbal, Venkatesh Kodukula, Victor Isaac Torres Muro, Robert LiKamWa, Andreas Spanias:
Software-Defined Imaging: A Survey. Proc. IEEE 111(5): 445-464 (2023)
[c224]
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  - conf/acssc/APBTSS23
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Lavanya Shri S. A., Bhavikumar Patel, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias, Stephanie Schuckers:
Analysis of a Modified SEIRS Compartmental Model for COVID-19. ACSSC 2023: 965-969
[c223]
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  - conf/acssc/SharmaUS23
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Aradhita Sharma, Glen S. Uehara, Andreas Spanias:
Quantum Linear Prediction for System Identification and Spectral Estimation Applications. ACSSC 2023: 1151-1155
[c222]
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  - conf/fie/WangSUMPBLS23
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Chao Wang, Aradhita Sharma, Glen S. Uehara, Leslie Miller, Deep Pujara, Wendy Barnard, Jean S. Larson, Andreas Spanias:
Introducing Quantum Computing in a Sophomore Signals and Systems Course. FIE 2023: 1-5
[c221]
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  - conf/icassp/SharmaUNMS23
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Aradhita Sharma, Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Leslie Miller, Andreas Spanias:
Signal Analysis-Synthesis Using the Quantum Fourier Transform. ICASSP 2023: 1-5
[c220]
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  - conf/icdsp/MillerUSS23
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Leslie Miller, Glen S. Uehara, Aradhita Sharma, Andreas Spanias:
Quantum Machine Learning for Optical and SAR Classification. DSP 2023: 1-5
[c219]
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  - conf/icip/BillingsleyDNSO23
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Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor:
AN L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain Tumors in 2D T1-Weighted CE-MRI Images. ICIP 2023: 1895-1899
[c218]
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Sunil Rao, Deep Pujara, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan:
Real-time Solar Array Data Acquisition and Fault Detection using Neural Networks. ICPS 2023: 1-5
[c217]
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Deep Pujara, David Ramirez, Cihan Tepedelenlioglu, Devarajan Srinivasan, Andreas Spanias:
Design of a New Photovoltaic Intelligent Monitoring and Control Device. IISA 2023: 1-4
[c216]
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  - conf/lion/MaluPDS23
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Mohit Malu, Giulia Pedrielli, Gautam Dasarathy, Andreas Spanias:
Class GP: Gaussian Process Modeling for Heterogeneous Functions. LION 2023: 408-423
[c215]
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  - conf/midl/NarayanaswamyMA23
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Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan:
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors. MIDL 2023: 190-211
[c214]
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  - conf/mwscas/YarterUS23
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Maxwell Yarter, Glen S. Uehara, Andreas Spanias:
Investigating a Quantum Cloud Paradigm with Quantum Neural Networks. MWSCAS 2023: 900-903
[i38]
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  - journals/corr/abs-2308-00491
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Grace Billingsley, Julia Dietlmeier, Vivek Sivaraman Narayanaswamy, Andreas Spanias, Noel E. O'Connor:
An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images. CoRR abs/2308.00491 (2023)
2022
[j67]
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  - journals/access/IqbalMKSJ22
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Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch, Andreas Spanias, Suren Jayasuriya:
Adaptive Subsampling for ROI-Based Visual Tracking: Algorithms and FPGA Implementation. IEEE Access 10: 90507-90522 (2022)
[j66]
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  - journals/ijvple/SattigeriTRSBDF22
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Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan Ramamurthy, Andreas Spanias, Mahesh K. Banavar, Abhinav Dixit, Jie Fan, Mohit Malu, Kristen Jaskie, Sunil Rao, Uday Shankar Shanthamallu, Vivek Sivaraman Narayanaswamy, Sameeksha Katoch:
Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors. Int. J. Virtual Pers. Learn. Environ. 12(1): 1-17 (2022)
[j65]
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  - journals/tsipn/FanTS22
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Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias:
Graph-Based Classification With Multiple Shift Matrices. IEEE Trans. Signal Inf. Process. over Networks 8: 160-172 (2022)
[c213]
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  - conf/fie/UeharaLBEPYSKDS22
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Glen S. Uehara, Jean S. Larson, Wendy Barnard, Michael Esposito, Filippo Posta, Maxwell Yarter, Aradhita Sharma, Niki Kyriacou, Matthew Dobson, Andreas Spanias:
Undergraduate Research and Education in Quantum Machine Learning. FIE 2022: 1-5
[c212]
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  - conf/icassp/NarayanaswamyAK22
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Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Irene Kim, Yamen Mubarka, Andreas Spanias, Jayaraman J. Thiagarajan:
Predicting the Generalization Gap in Deep Models using Anchoring. ICASSP 2022: 4393-4397
[c211]
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  - conf/icml/SubramanyamNNST22
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Rakshith Subramanyam, Vivek Sivaraman Narayanaswamy, Mark Naufel, Andreas Spanias, Jayaraman J. Thiagarajan:
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images. ICML 2022: 20625-20639
[c210]
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  - conf/iisa/AchallaMBTSS22
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Monalisa Achalla, Gowtham Muniraju, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias, Stephanie Schuckers:
Distributed Consensus based COVID-19 Hotspot Density Estimation. IISA 2022: 1-4
[c209]
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  - conf/iisa/EspositoUS22
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Michael Esposito, Glen S. Uehara, Andreas Spanias:
Quantum Machine Learning for Audio Classification with Applications to Healthcare. IISA 2022: 1-4
[c208]
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  - conf/iisa/SpaniasNFRKOBLO22
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Andreas Spanias, Vivek Sivaraman Narayanaswamy, Erica Forzani, Gregory B. Raupp, Nadia N. Kellam, Megan O'Donnell, Wendy Barnard, Jean S. Larson, Noel E. O'Connor, Nicholas Dunne, Stephen Daniels, Suzanne Little:
The ASU-DCU International Research and Workforce Development Program on Sensors and Machine Learning. IISA 2022: 1-6
[c207]
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  - conf/iisa/UeharaNTS22
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Glen S. Uehara, Vivek Sivaraman Narayanaswamy, Cihan Tepedelenlioglu, Andreas Spanias:
Quantum Machine Learning for Photovoltaic Topology Optimization. IISA 2022: 1-5
[c206]
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  - conf/iisa/YarterUS22
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Maxwell Yarter, Glen S. Uehara, Andreas Spanias:
Implementation and Analysis of Quantum Homomorphic Encryption. IISA 2022: 1-5
[i37]
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  - journals/corr/abs-2207-05286
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Vivek Sivaraman Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias, Jayaraman J. Thiagarajan:
Revisiting Inlier and Outlier Specification for Improved Out-of-Distribution Detection. CoRR abs/2207.05286 (2022)
[i36]
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  - journals/corr/abs-2211-11836
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David Ramirez, Suren Jayasuriya, Andreas Spanias:
Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques. CoRR abs/2211.11836 (2022)
2021
[b12]
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  - series/synthesis/2021Shanthamallu
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Uday Shankar Shanthamallu, Andreas Spanias:
Machine and Deep Learning Algorithms and Applications. Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers 2021, ISBN 978-3-031-03748-1, pp. 1-123
[j64]
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  - journals/access/RaoMTSTS21
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Sunil Rao, Gowtham Muniraju, Cihan Tepedelenlioglu, Devarajan Srinivasan, Govindasamy Tamizhmani, Andreas Spanias:
Dropout and Pruned Neural Networks for Fault Classification in Photovoltaic Arrays. IEEE Access 9: 120034-120042 (2021)
[j63]
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  - journals/idt/RaoNETS21
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Sunil Rao, Vivek Sivaraman Narayanaswamy, Michael Esposito, Jayaraman J. Thiagarajan, Andreas Spanias:
COVID-19 detection using cough sound analysis and deep learning algorithms. Intell. Decis. Technol. 15(4): 655-665 (2021)
[j62]
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  - journals/tnn/MunirajuKTBTS21
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Gowtham Muniraju, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Cihan Tepedelenlioglu, Andreas Spanias:
Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1241-1253 (2021)
[c205]
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  - conf/aaai/ThiagarajanNABS21
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Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. AAAI 2021: 7891-7898
[c204]
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  - conf/aaai/ShanthamalluTS21
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Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. AAAI 2021: 9524-9532
[c203]
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  - conf/acssc/MunirajuTS21
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Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed Edge Counting for Wireless Sensor Networks. ACSCC 2021: 767-771
[c202]
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  - conf/acssc/EspositoRNS21
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Michael Esposito, Sunil Rao, Vivek Sivaraman Narayanaswamy, Andreas Spanias:
COVID-19 Detection using Audio Spectral Features and Machine Learning. ACSCC 2021: 1146-1150
[c201]
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  - conf/fie/JaskieLJTOCRS21
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Kristen Jaskie, Jean S. Larson, Milton Johnson, Kathy Turner, Megan O'Donnell, Jennifer Blain Christen, Sunil Rao, Andreas Spanias:
Research Experiences for Teachers in Machine Learning. FIE 2021: 1-5
[c200]
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  - conf/fie/NarayanaswamySR21
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Vivek Sivaraman Narayanaswamy, Photini Spanias, Sunil Rao, Andreas Spanias:
Experiences with Web-based Signal Analysis Laboratories and Online Training during the COVID-19 Period. FIE 2021: 1-4
[c199]
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Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
Using Deep Image Priors to Generate Counterfactual Explanations. ICASSP 2021: 2770-2774
[c198]
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  - conf/iisa/MaluDS21
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Mohit Malu, Gautam Dasarathy, Andreas Spanias:
Bayesian Optimization in High-Dimensional Spaces: A Brief Survey. IISA 2021: 1-8
[c197]
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  - conf/iisa/MartinJTS21
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Joshua Martin, Kristen Jaskie, Yiannis Tofis, Andreas Spanias:
PV Array Soiling Detection using Machine Learning. IISA 2021: 1-4
[c196]
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  - conf/iisa/RaoNETS21
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Sunil Rao, Vivek Sivaraman Narayanaswamy, Michael Esposito, Jayaraman J. Thiagarajan, Andreas Spanias:
Deep Learning with hyper-parameter tuning for COVID-19 Cough Detection. IISA 2021: 1-5
[c195]
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  - conf/iisa/UeharaRDTS21
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Glen S. Uehara, Sunil Rao, Mathew Dobson, Cihan Tepedelenlioglu, Andreas Spanias:
Quantum Neural Network Parameter Estimation for Photovoltaic Fault Detection. IISA 2021: 1-7
[c194]
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  - conf/iisa/UeharaSC21
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Glen S. Uehara, Andreas Spanias, William Clark:
Quantum Information Processing Algorithms with Emphasis on Machine Learning. IISA 2021: 1-11
[c193]
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  - conf/interspeech/NarayanaswamyTS21
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Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
On the Design of Deep Priors for Unsupervised Audio Restoration. Interspeech 2021: 2167-2171
[c192]
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Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jia Liang, Akshay Chaudhari, Andreas Spanias:
Designing Counterfactual Generators using Deep Model Inversion. NeurIPS 2021: 16873-16884
[i35]
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  - journals/corr/abs-2103-03788
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Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Deepta Rajan, Andreas Spanias:
Loss Estimators Improve Model Generalization. CoRR abs/2103.03788 (2021)
[i34]
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  - journals/corr/abs-2104-07161
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Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
On the Design of Deep Priors for Unsupervised Audio Restoration. CoRR abs/2104.07161 (2021)
[i33]
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  - journals/corr/abs-2109-14274
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Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Deepta Rajan, Jason Liang, Akshay Chaudhari, Andreas Spanias:
Designing Counterfactual Generators using Deep Model Inversion. CoRR abs/2109.14274 (2021)
[i32]
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Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch, Andreas Spanias, Suren Jayasuriya:
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation. CoRR abs/2112.09775 (2021)
[i31]
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Kowshik Thopalli, Sameeksha Katoch, Andreas Spanias, Pavan K. Turaga, Jayaraman J. Thiagarajan:
Improving Multi-Domain Generalization through Domain Re-labeling. CoRR abs/2112.09802 (2021)
2020
[b11]
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Sunil Rao, Sameeksha Katoch, Vivek Sivaraman Narayanaswamy, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Pavan K. Turaga, Raja Ayyanar, Devarajan Srinivasan:
Machine Learning for Solar Array Monitoring, Optimization, and Control. Synthesis Lectures on Power Electronics, Morgan & Claypool Publishers 2020, ISBN 978-3-031-01377-5
[j61]
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Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Consensus Based Distributed Spectral Radius Estimation. IEEE Signal Process. Lett. 27: 1045-1049 (2020)
[j60]
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Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
GrAMME: Semisupervised Learning Using Multilayered Graph Attention Models. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3977-3988 (2020)
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Jayden Booth, Ahmed Ewaisha, Andreas Spanias, Ahmed Alkhateeb:
Deep Learning Based MIMO Channel Prediction: An Initial Proof of Concept Prototype. ACSSC 2020: 267-271
[c190]
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Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
A Regularized Attention Mechanism for Graph Attention Networks. ICASSP 2020: 3372-3376
[c189]
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Odrika Iqbal, Saquib Siddiqui, Joshua Martin, Sameeksha Katoch, Andreas Spanias, Daniel W. Bliss, Suren Jayasuriya:
Design and FPGA Implementation of an Adaptive video Subsampling Algorithm for Energy-Efficient Single Object Tracking. ICIP 2020: 3065-3069
[c188]
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Jie Fan, Sunil Rao, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Fault Classification in Photovoltaic Arrays Using Graph Signal Processing. ICPS 2020: 315-319
[c187]
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Dominique Smith, Kristen Jaskie, John J. Cadigan, Joseph W. Marvin, Andreas Spanias:
Machine Learning For Fast Short-Term Energy Load Forecasting. ICPS 2020: 433-436
[c186]
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Kristen Jaskie, Joshua Martin, Sunil Rao, Wendy Barnard, Photini Spanias, Elias Kyriakides, Yiannis Tofis, Lenos Hadjidemetriou, Maria K. Michael, Theocharis Theocharides, Stella K. Hadjistassou, Andreas Spanias:
IRES Program in Sensors and Machine Learning for Energy Systems. IISA 2020: 1-5
[c185]
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Kristen Jaskie, Dominique Smith, Andreas Spanias:
Deep Learning Networks for Vectorized Energy Load Forecasting. IISA 2020: 1-7
[c184]
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Andreas Spanias:
Machine Learning Workforce Development Programs on Health and COVID-19 Research. IISA 2020: 1-4
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Joshua Vandermeer, Frank Giuliani, Erica Low, Katherine Thomasson, Andreas Spanias:
Real-Time Adaptive Noise and Echo Cancellation on a Compact Microcontroller. IISA 2020: 1-5
[c182]
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Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias:
Unsupervised Audio Source Separation Using Generative Priors. INTERSPEECH 2020: 2657-2661
[i30]
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  - journals/corr/abs-2005-13769
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Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Rushil Anirudh, Andreas Spanias:
Unsupervised Audio Source Separation using Generative Priors. CoRR abs/2005.13769 (2020)
[i29]
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  - journals/corr/abs-2009-14454
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Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. CoRR abs/2009.14454 (2020)
[i28]
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Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. CoRR abs/2009.14455 (2020)
[i27]
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  - journals/corr/abs-2010-12046
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Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Andreas Spanias:
Using Deep Image Priors to Generate Counterfactual Explanations. CoRR abs/2010.12046 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[b10]
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Henry Braun, Pavan K. Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, Cihan Tepedelenlioglu:
Reconstruction-Free Compressive Vision for Surveillance Applications. Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01413-0
[j59]
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Jaime Zuniga-Mejia, Rafaela Villalpando Hernandez, César Vargas Rosales, Andreas Spanias:
A Linear Systems Perspective on Intrusion Detection for Routing in Reconfigurable Wireless Networks. IEEE Access 7: 60486-60500 (2019)
[j58]
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Mohit Shah, Ming Tu, Visar Berisha, Chaitali Chakrabarti, Andreas Spanias:
Articulation constrained learning with application to speech emotion recognition. EURASIP J. Audio Speech Music. Process. 2019: 14 (2019)
[j57]
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Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias, Gowtham Muniraju:
Location estimation and detection in wireless sensor networks in the presence of fading. Phys. Commun. 32: 62-74 (2019)
[j56]
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Victor Solo, Maria Sabrina Greco, Danilo P. Mandic, Petar M. Djuric, Andreas Spanias, Mónica F. Bugallo:
Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum]. IEEE Signal Process. Mag. 36(5): 135-147 (2019)
[j55]
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Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks. IEEE Trans. Signal Inf. Process. over Networks 5(4): 779-791 (2019)
[c181]
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  - conf/acssc/MohanKJTS19
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Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias:
Adaptive Video Subsampling For Energy-Efficient Object Detection. ACSSC 2019: 103-107
[c180]
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Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed Spectral Radius Estimation in Wireless Sensor Networks. ACSSC 2019: 1506-1510
[c179]
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Kristen Jaskie, Charles Elkan, Andreas Spanias:
A Modified Logistic Regression for Positive and Unlabeled Learning. ACSSC 2019: 2007-2011
[c178]
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Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias:
Global Optimization of Graph Filters with Multiple Shift Matrices. ACSSC 2019: 2082-2086
[c177]
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  - conf/fie/AyotteABBMRST19
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Blaine Ayotte, Justin Au-Yeung, Mahesh K. Banavar, Dana M. Barry, Gowtham Muniraju, Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu:
Introducing machine learning concepts using hands-on Android-based exercises. FIE 2019: 1-5
[c176]
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Divya Mohan, Sameeksha Katoch, Suren Jayasuriya, Pavan K. Turaga, Andreas Spanias:
An REU Experience in Machine Learning and Computational Cameras. FIE 2019: 1-5
[c175]
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Chao Wang, Abhinav Dixit, Andreas Spanias, Sunil Rao:
Introducing Machine Learning in a Sophomore Signals and Systems Course. FIE 2019: 1-4
[c174]
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Jie Fan, Cihan Tepedelenlioglu, Andreas Spanias:
Graph Filtering with Multiple Shift Matrices. ICASSP 2019: 3557-3561
[c173]
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  - conf/icassp/RamakrishnaSST19
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Raksha Ramakrishna, Anna Scaglione, Andreas Spanias, Cihan Tepedelenlioglu:
Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing. ICASSP 2019: 4440-4444
[c172]
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Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Designing an Effective Metric Learning Pipeline for Speaker Diarization. ICASSP 2019: 5806-5810
[c171]
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Uday Shankar Shanthamallu, Sunil Rao, Abhinav Dixit, Vivek Sivaraman Narayanaswamy, Jie Fan, Andreas Spanias:
Introducing Machine Learning in Undergraduate DSP Classes. ICASSP 2019: 7655-7659
[c170]
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Juan Andrade, Pavan K. Turaga, Andreas Spanias:
Spatially-Varying Sharpness Map Estimation Based on the Quotient of Spectral Bands. ICIP 2019: 4020-4024
[c169]
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Vivek Sivaraman Narayanaswamy, Raja Ayyanar, Andreas Spanias, Cihan Tepedelenlioglu, Devarajan Srinivasan:
Connection Topology Optimization in Photovoltaic Arrays using Neural Networks. ICPS 2019: 167-172
[c168]
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Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu:
Solar Array Fault Detection using Neural Networks. ICPS 2019: 196-200
[c167]
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Juan Andrade, Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Kristen Jaskie:
Formation-aware Cloud Segmentation of Ground-based Images with Applications to PV Systems. IISA 2019: 1-7
[c166]
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Kristen Jaskie, Andreas Spanias:
Positive And Unlabeled Learning Algorithms And Applications: A Survey. IISA 2019: 1-8
[c165]
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Emma Pedersen, Sunil Rao, Sameeksha Katoch, Kristen Jaskie, Andreas Spanias, Cihan Tepedelenlioglu, Elias Kyriakides:
PV Array Fault Detection using Radial Basis Networks. IISA 2019: 1-4
[i26]
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Vivek Sivaraman Narayanaswamy, Sameeksha Katoch, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets. CoRR abs/1904.04161 (2019)
[i25]
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Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias:
Analysis and Design of Robust Max Consensus for Wireless Sensor Networks. CoRR abs/1904.09377 (2019)
[i24]
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  - journals/corr/abs-1911-10600
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Sameeksha Katoch, Kowshik Thopalli, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias:
Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning. CoRR abs/1911.10600 (2019)
2018
[b9]
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Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias, Mahesh K. Banavar:
Distributed Network Structure Estimation Using Consensus Methods. Synthesis Lectures on Communications, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00556-5
[j54]
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Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias:
Optimizing Kernel Machines Using Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5528-5540 (2018)
[j53]
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Alan Wisler, Visar Berisha, Andreas Spanias, Alfred O. Hero III:
Direct Estimation of Density Functionals Using a Polynomial Basis. IEEE Trans. Signal Process. 66(3): 558-572 (2018)
[c164]
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Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias:
Attend and Diagnose: Clinical Time Series Analysis Using Attention Models. AAAI 2018: 4091-4098
[c163]
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Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias, Sai Zhang, Mahesh K. Banavar:
Max Consensus in the Presence of Additive Noise. ACSSC 2018: 1408-1412
[c162]
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Abhinav Dixit, Uday Shankar Shanthamallu, Andreas Spanias, Visar Berisha, Mahesh K. Banavar:
Online Machine Learning Experiments in HTML5. FIE 2018: 1-5
[c161]
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Andreas Spanias, Jennifer Blain Christen:
A Stem Reu Site on the Integrated Design of Sensor Devices and Signal Processing Algorithms. ICASSP 2018: 6991-6995
[c160]
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Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu:
Fast Non-Linear Methods for Dynamic Texture Prediction. ICIP 2018: 2107-2111
[c159]
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Sameeksha Katoch, Gowtham Muniraju, Sunil Rao, Andreas Spanias, Pavan K. Turaga, Cihan Tepedelenlioglu, Mahesh K. Banavar, Devarajan Srinivasan:
Shading prediction, fault detection, and consensus estimation for solar array control. ICPS 2018: 217-222
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Farib Khondoker, Sunil Rao, Andreas Spanias, Cihan Tepedelenlioglu:
Photovoltaic Array Simulation and Fault Prediction via Multilayer Perceptron Models. IISA 2018: 1-5
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Farib Khondoker, Trevor Thornton, Andreas Spanias, Uday Shankar Shanthamallu:
Optimizing Activity Detection via Sensor Fusion. IISA 2018: 1-5
[c156]
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  - conf/interspeech/SongWTBS18
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Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias:
Triplet Network with Attention for Speaker Diarization. INTERSPEECH 2018: 3608-3612
[i23]
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Jongmin Lee, Cihan Tepedelenlioglu, Andreas Spanias:
Consensus-based Distributed Quantile Estimation in Sensor Networks. CoRR abs/1805.00154 (2018)
[i22]
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Huan Song, Megan M. Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias:
Triplet Network with Attention for Speaker Diarization. CoRR abs/1808.01535 (2018)
[i21]
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Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Attention Models with Random Features for Multi-layered Graph Embeddings. CoRR abs/1810.01405 (2018)
[i20]
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  - journals/corr/abs-1811-00181
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Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Improving Robustness of Attention Models on Graphs. CoRR abs/1811.00181 (2018)
[i19]
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Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan, Huan Song, Andreas Spanias:
Designing an Effective Metric Learning Pipeline for Speaker Diarization. CoRR abs/1811.00183 (2018)
[i18]
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  - journals/corr/abs-1811-01084
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Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias, Gowtham Muniraju:
Location Estimation and Detection in Wireless Sensor Networks in the Presence of Fading. CoRR abs/1811.01084 (2018)
2017
[j52]
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Gowtham Muniraju, Sunil Rao, Sameeksha Katoch, Andreas Spanias, Cihan Tepedelenlioglu, Pavan K. Turaga, Mahesh K. Banavar, Devarajan Srinivasan:
A Cyber-Physical Photovoltaic Array Monitoring and Control System. Int. J. Monit. Surveillance Technol. Res. 5(3): 33-56 (2017)
[c155]
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Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed center and coverage region estimation in wireless sensor networks using diffusion adaptation. ACSSC 2017: 1353-1357
[c154]
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Mahesh K. Banavar, Houchao Gan, Benjamin Robistow, Andreas Spanias:
Signal processing and machine learning concepts using the reflections echolocation app. FIE 2017: 1-5
[c153]
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Abhinav Dixit, Sameeksha Katoch, Photini Spanias, Mahesh K. Banavar, Huan Song, Andreas Spanias:
Development of signal processing online labs using HTML5 and mobile platforms. FIE 2017: 1-5
[c152]
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Benjamin Robistow, Robert Newman, Thomas H. DePue, Mahesh K. Banavar, Dana M. Barry, Paul Curtis, Andreas Spanias:
Reflections: An eModule for echolocation education. ICASSP 2017: 1562-1566
[c151]
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Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
A deep learning approach to multiple kernel fusion. ICASSP 2017: 2292-2296
[c150]
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Sunil Rao, Sameeksha Katoch, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu, Raja Ayyanar, Henry Braun, Jongmin Lee, Uday Shankar Shanthamallu, Mahesh K. Banavar, Devarajan Srinivasan:
A cyber-physical system approach for photovoltaic array monitoring and control. IISA 2017: 1-6
[c149]
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Uday Shankar Shanthamallu, Andreas Spanias, Cihan Tepedelenlioglu, Mike Stanley:
A brief survey of machine learning methods and their sensor and IoT applications. IISA 2017: 1-8
[c148]
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Andreas S. Spanias:
Solar energy management as an Internet of Things (IoT) application. IISA 2017: 1-4
[i17]
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Alan Wisler, Visar Berisha, Andreas Spanias, Alfred O. Hero III:
A data-driven basis for direct estimation of functionals of distributions. CoRR abs/1702.06516 (2017)
[i16]
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Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias:
Attend and Diagnose: Clinical Time Series Analysis using Attention Models. CoRR abs/1711.03905 (2017)
[i15]
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Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias:
Optimizing Kernel Machines using Deep Learning. CoRR abs/1711.05374 (2017)
2016
[b8]
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Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Node Localization in Wireless Sensor Networks. Synthesis Lectures on Communications, Morgan & Claypool Publishers 2016, ISBN 978-3-031-00555-8, pp. 1-62
[j51]
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  - journals/tsp/BerishaWHS16
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Visar Berisha, Alan Wisler, Alfred O. Hero III, Andreas Spanias:
Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure. IEEE Trans. Signal Process. 64(3): 580-591 (2016)
[c147]
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Henry Braun, Pavan K. Turaga, Andreas Spanias, Cihan Tepedelenlioglu:
Direct classification from compressively sensed images via deep Boltzmann machine. ACSSC 2016: 454-457
[c146]
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Alan Wisler, Visar Berisha, Andreas Spanias, Julie M. Liss:
Noise robust dysarthric speech classification using domain adaptation. DMIAF 2016: 135-138
[c145]
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Thomas H. DePue, Benjamin Robistow, Robert Newman, Kevin Mack, Mahesh K. Banavar, Tianqi Yang, Dana M. Barry, Paul Curtis, Andreas Spanias, Whitni Watkins:
An Android app for spatial acoustic analysis as a learning tool. FIE 2016: 1-5
[c144]
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Andreas Spanias, Mahesh K. Banavar, Henry Braun, Photini Spanias, Yongpeng Zhang:
Development of course modules for multidisciplinary STEM education. FIE 2016: 1-5
[c143]
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Sai Zhang, Jongmin Lee, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed Estimation of the Degree Distribution in Wireless Sensor Networks. GLOBECOM 2016: 1-6
[c142]
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Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Pavan K. Turaga:
Consensus inference on mobile phone sensors for activity recognition. ICASSP 2016: 2294-2298
[c141]
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Alan Wisler, Visar Berisha, Dennis Wei, Karthikeyan Ramamurthy, Andreas Spanias:
Empirically-estimable multi-class classification bounds. ICASSP 2016: 2594-2598
[c140]
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  - conf/icip/SongTRS16
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Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Auto-context modeling using multiple Kernel learning. ICIP 2016: 1868-1872
[c139]
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Andreas Spanias:
A brief survey of time- and frequency-domain adaptive filters. IISA 2016: 1-7
[c138]
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  - conf/isspit/LeeSST16
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Jongmin Lee, Michael Stanley, Andreas Spanias, Cihan Tepedelenlioglu:
Integrating machine learning in embedded sensor systems for Internet-of-Things applications. ISSPIT 2016: 290-294
[c137]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Berkay Kanberoglu, David H. Frakes, Kevin Bennett, Andreas Spanias:
Measuring glomerular number from kidney MRI images. Image Processing 2016: 978412
[i14]
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Sai Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Max Consensus in Sensor Networks: Non-linear Bounded Transmission and Additive Noise. CoRR abs/1602.01128 (2016)
[i13]
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Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
A Deep Learning Approach To Multiple Kernel Fusion. CoRR abs/1612.09007 (2016)
2015
[b7]
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  - series/synthesis/2015Miller
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Steven R. Miller, Xue Zhang, Andreas Spanias:
Multipath Effects in GPS Receivers. Synthesis Lectures on Communications, Morgan & Claypool Publishers 2015, ISBN 978-3-031-00554-1
[j50]
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Mahesh K. Banavar, Jun Jason Zhang, Bhavana Chakraborty, Homin Kwon, Ying Li, Huaiguang Jiang, Andreas Spanias, Cihan Tepedelenlioglu, Chaitali Chakrabarti, Antonia Papandreou-Suppappola:
An overview of recent advances on distributed and agile sensing algorithms and implementation. Digit. Signal Process. 39: 1-14 (2015)
[j49]
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Mohit Shah, Chaitali Chakrabarti, Andreas Spanias:
Within and cross-corpus speech emotion recognition using latent topic model-based features. EURASIP J. Audio Speech Music. Process. 2015: 4 (2015)
[j48]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Learning Stable Multilevel Dictionaries for Sparse Representations. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1913-1926 (2015)
[j47]
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Sivaraman Dasarathan, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Robust Consensus in the Presence of Impulsive Channel Noise. IEEE Trans. Signal Process. 63(8): 2118-2129 (2015)
[j46]
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  - journals/tvt/SantucciBTS15
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Robert W. Santucci, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias:
Nonlinear Amplify-and-Forward Distributed Estimation Over Nonidentical Channels. IEEE Trans. Veh. Technol. 64(11): 5390-5395 (2015)
[c136]
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Sai Zhang, Cihan Tepedelenlioglu, Andreas Spanias, Mahesh K. Banavar:
Node counting in wireless sensor networks. ACSSC 2015: 360-364
[c135]
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  - conf/dsp-spe/Spanias15
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Andreas Spanias:
An introductory signal processing course offered across the curriculum. SP/SPE 2015: 55-58
[c134]
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  - conf/embc/AntoniouPPSKSCP15
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Zinonas C. Antoniou, Andreas Panayides, Marios S. Pattichis, Stavros Stavrou, Edward Kyriacou, Andreas Spanias, Anthony G. Constantinides, Constantinos S. Pattichis:
Adaptive emergency scenery video communications using HEVC for responsive decision support in disaster incidents. EMBC 2015: 173-176
[c133]
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Andreas Spanias, Paul Curtis, Photini Spanias, Mahesh K. Banavar:
A new signal processing course for digital culture. FIE 2015: 1-4
[c132]
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Alan Wisler, Visar Berisha, Karthikeyan Ramamurthy, Andreas Spanias, Julie Liss:
Removing data with noisy responses in regression analysis. ICASSP 2015: 2066-2070
[c131]
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  - conf/icassp/Kalyanasundaram15
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Girish Kalyanasundaram, Mahesh K. Banavar, Andreas Spanias:
Audio modeling and loudness estimation with IJDSP mobile simulations. ICASSP 2015: 5550-5554
[c130]
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Jongmin Lee, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Nonlinear diffusion adaptation with bounded transmission over distributed networks. ICC 2015: 6707-6711
[c129]
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Andreas Spanias:
Advances in speech and audio processing and coding. IISA 2015: 1-2
[i12]
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  - journals/corr/RanganathTRHBS15
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Suhas Ranganath, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Mahesh K. Banavar, Andreas Spanias:
Undergraduate Signal Processing Laboratories for the Android Operating System. CoRR abs/1502.07026 (2015)
2014
[b6]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga, Andreas Spanias:
Image Understanding Using Sparse Representations. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2014, ISBN 978-3-031-01122-1
[j45]
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Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias:
Recovering non-negative and combined sparse representations. Digit. Signal Process. 26: 21-35 (2014)
[j44]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan, Andreas Spanias, Anup Puri, David H. Frakes:
Kernel Sparse Models for Automated Tumor Segmentation. Int. J. Artif. Intell. Tools 23(3) (2014)
[j43]
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Robert W. Santucci, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias:
Energy-Efficient Distributed Estimation by Utilizing a Nonlinear Amplifier. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(1): 302-311 (2014)
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning. IEEE Trans. Image Process. 23(7): 2905-2915 (2014)
[c128]
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Prasanna Sattigeri, Jayaraman J. Thiagarajan, Mohit Shah, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
A scalable feature learning and tag prediction framework for natural environment sounds. ACSSC 2014: 1779-1783
[c127]
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Mahesh K. Banavar, Deepta Rajan, Andrew Strom, Photini Spanias, Xue Sophia Zhang, Henry Braun, Andreas Spanias:
Embedding Android signal processing apps in a high school math class - An RET project. FIE 2014: 1-4
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Paul Curtis, Mahesh K. Banavar, Xue Zhang, Andreas Spanias, Vitor Weber:
Signals and systems demonstrations for undergraduates using Android-based localization. FIE 2014: 1-4
[c125]
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  - conf/icassp/BerishaLSUS14
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Visar Berisha, Julie Liss, Steven Sandoval, Rene Utianski, Andreas Spanias:
Modeling pathological speech perception from data with similarity labels. ICASSP 2014: 915-919
[c124]
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Henry Braun, Pavan K. Turaga, Andreas Spanias:
Direct tracking from compressive imagers: A proof of concept. ICASSP 2014: 8139-8142
[c123]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Peer-Timo Bremer, Andreas Spanias:
Automatic image annotation using inverse maps from semantic embeddings. ICIP 2014: 3107-3111
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Paul Curtis, Mahesh K. Banavar, Sai Zhang, Andreas Spanias, Vitor Weber:
Android acoustic ranging. IISA 2014: 118-123
[c121]
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Mohit Shah, Chaitali Chakrabarti, Andreas Spanias:
A multi-modal approach to emotion recognition using undirected topic models. ISCAS 2014: 754-757
[c120]
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Alan Wisler, Visar Berisha, Julie Liss, Andreas Spanias:
Domain invariant speech features using a new divergence measure. SLT 2014: 77-82
[i11]
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Sivaraman Dasarathan, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Robust Consensus in the Presence of Impulsive Channel Noise. CoRR abs/1408.3704 (2014)
[i10]
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Visar Berisha, Alan Wisler, Alfred O. Hero III, Andreas Spanias:
Empirically Estimable Classification Bounds Based on a New Divergence Measure. CoRR abs/1412.6534 (2014)
2013
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Narayan Kovvali, Mahesh K. Banavar, Andreas Spanias:
An Introduction to Kalman Filtering with MATLAB Examples. Synthesis Lectures on Signal Processing, Morgan & Claypool Publishers 2013, ISBN 9781627051392, pp. 1-81
[j41]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Mixing matrix estimation using discriminative clustering for blind source separation. Digit. Signal Process. 23(1): 9-18 (2013)
[j40]
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Sivaraman Dasarathan, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Non-Linear Distributed Average Consensus Using Bounded Transmissions. IEEE Trans. Signal Process. 61(23): 6000-6009 (2013)
[c119]
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Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Distributed location detection in wireless sensor networks. ACSSC 2013: 428-432
[c118]
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Sai Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Max-consensus using the soft maximum. ACSSC 2013: 433-437
[c117]
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Deepta Rajan, Andreas Spanias, Suhas Ranganath, Mahesh K. Banavar, Photini Spanias:
Health monitoring laboratories by interfacing physiological sensors to mobile android devices. FIE 2013: 1049-1055
[c116]
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Sai Zhang, Mahesh K. Banavar, Andreas Spanias, Cihan Tepedelenlioglu, Xue Zhang:
Java tools for teaching OFDM principles in undergraduate courses. FIE 2013: 1459-1461
[c115]
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Harish Krishnamoorthi, Andreas Spanias:
Sinusoidal component selection based on partial loudness criteria. ICASSP 2013: 575-579
[c114]
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Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias, Prasanna Sattigeri:
Boosted dictionaries for image restoration based on sparse representations. ICASSP 2013: 1583-1587
[c113]
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Henry Braun, Pavan K. Turaga, Cihan Tepedelenlioglu, Andreas Spanias:
Optical flow for compressive sensing video reconstruction. ICASSP 2013: 2267-2271
[c112]
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Mohit Shah, Lifeng Miao, Chaitali Chakrabarti, Andreas Spanias:
A speech emotion recognition framework based on latent Dirichlet allocation: Algorithm and FPGA implementation. ICASSP 2013: 2553-2557
[c111]
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Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias:
A heterogeneous dictionary model for representation and recognition of human actions. ICASSP 2013: 3472-3476
[c110]
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Xue Zhang, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
CRLB for the localization error in the presence of fading. ICASSP 2013: 5150-5154
[c109]
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  - conf/icassp/BerishaSULS13
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Visar Berisha, Steven Sandoval, Rene Utianski, Julie Liss, Andreas Spanias:
Selecting disorder-specific features for speech pathology fingerprinting. ICASSP 2013: 7562-7566
[c108]
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Robert W. Santucci, Mahesh K. Banavar, Andreas Spanias, Cihan Tepedelenlioglu:
Design of limiting amplifier models for nonlinear amplify-and-forward distributed estimation. DSP 2013: 1-6
[i9]
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Sivaraman Dasarathan, Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
Non-Linear Distributed Average Consensus using Bounded Transmissions. CoRR abs/1302.5371 (2013)
[i8]
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Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias:
Ensemble Sparse Models for Image Analysis. CoRR abs/1302.6957 (2013)
[i7]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Learning Stable Multilevel Dictionaries for Sparse Representation of Images. CoRR abs/1303.0448 (2013)
[i6]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning. CoRR abs/1303.0582 (2013)
[i5]
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  - journals/corr/abs-1303-2610
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan, Anup Puri, David H. Frakes, Andreas Spanias:
Kernel Sparse Models for Automated Tumor Segmentation. CoRR abs/1303.2610 (2013)
[i4]
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  - journals/corr/abs-1303-4694
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Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias:
Recovering Non-negative and Combined Sparse Representations. CoRR abs/1303.4694 (2013)
2012
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Mahesh K. Banavar, Henry Braun, Santoshi T. Buddha, Venkatachalam Krishnan, Andreas Spanias, Shinichi Takada, Toru Takehara, Cihan Tepedelenlioglu, Ted Yeider:
Signal Processing for Solar Array Monitoring, Fault Detection, and Optimization. Synthesis Lectures on Power Electronics, Morgan & Claypool Publishers 2012, ISBN 978-3-031-01369-0, pp. 1-95
[j39]
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Heewan Park, Byungsik Yoon, Sangwon Kang, Andreas Spanias:
Search-Free Codebook Mapping for Artificial Bandwidth Extension. IEICE Trans. Commun. 95-B(4): 1479-1482 (2012)
[j38]
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Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed SNR Estimation With Power Constrained Signaling Over Gaussian Multiple-Access Channels. IEEE Trans. Signal Process. 60(6): 3289-3294 (2012)
[j37]
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Mahesh K. Banavar, Anthony D. Smith, Cihan Tepedelenlioglu, Andreas Spanias:
On the Effectiveness of Multiple Antennas in Distributed Detection over Fading MACs. IEEE Trans. Wirel. Commun. 11(5): 1744-1752 (2012)
[c107]
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Sivaraman Dasarathan, Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed average consensus using bounded transmissions. ACSCC 2012: 1202-1206
[c106]
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Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias:
Learning dictionaries with graph embedding constraints. ACSCC 2012: 1974-1978
[c105]
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  - conf/bibe/ThiagarajanRRFS12
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Jayaraman J. Thiagarajan, Deepta Rajan, Karthikeyan Natesan Ramamurthy, David H. Frakes, Andreas Spanias:
Automated tumor segmentation using kernel sparse representations. BIBE 2012: 401-406
[c104]
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  - conf/espa/SattigeriTRS12
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Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Implementation of a fast image coding and retrieval system using a GPU. ESPA 2012: 5-8
[c103]
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Mohit Shah, Brian Mears, Chaitali Chakrabarti, Andreas Spanias:
Lifelogging: Archival and retrieval of continuously recorded audio using wearable devices. ESPA 2012: 99-102
[c102]
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  - conf/espa/BuddhaBKTSYT12
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Santoshi T. Buddha, Henry Braun, Venkatachalam Krishnan, Cihan Tepedelenlioglu, Andreas Spanias, Ted Yeider, Toru Takehara:
Signal processing for photovoltaic applications. ESPA 2012: 115-118
[c101]
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Marc Willerton, Mahesh K. Banavar, Xue Zhang, Athanassios Manikas, Cihan Tepedelenlioglu, Andreas Spanias, Trevor Thornton, Eric M. Yeatman, Anthony G. Constantinides:
Sequential wireless sensor network discovery using wide aperture array signal processing. EUSIPCO 2012: 2278-2282
[c100]
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Linda Hinnov, Andreas Spanias, Karthikeyan Natesan Ramamurthy, Girish Kalyanasundaram:
Workshop: Interactive education tools for earth systems and sustainability applications. FIE 2012: 1-2
[c99]
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Suhas Ranganath, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Mahesh K. Banavar, Andreas Spanias:
Work in progress: Performing signal analysis laboratories using Android devices. FIE 2012: 1-2
[c98]
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Henry Braun, Santoshi T. Buddha, Venkatachalam Krishnan, Andreas Spanias, Cihan Tepedelenlioglu, Ted Yeider, Toru Takehara:
Signal processing for fault detection in photovoltaic arrays. ICASSP 2012: 1681-1684
[c97]
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Jinru Liu, Shuang Hu, Jayaraman J. Thiagarajan, Xue Zhang, Suhas Ranganath, Mahesh K. Banavar, Andreas Spanias:
Interactive DSP laboratories on mobile phones and tablets. ICASSP 2012: 2761-2764
[c96]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Andreas Spanias:
Supervised local sparse coding of sub-image features for image retrieval. ICIP 2012: 3117-3120
[c95]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Panos Nasiopoulos:
Learning Multilevel Dictionaries for Compressed Sensing Using Discriminative Clustering. IIH-MSP 2012: 494-497
[c94]
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Brandon Mechtley, Andreas Spanias, Perry Cook:
Shortest Path Techniques for Annotation and Retrieval of Environmental Sounds. ISMIR 2012: 541-546
[c93]
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Mohit Shah, Brian Mears, Chaitali Chakrabarti, Andreas Spanias:
A top-down design methodology using virtual platforms for concept development. ISQED 2012: 444-450
2011
[b3]
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Jayaraman J. Thiagarajan, Andreas Spanias:
Analysis of the MPEG-1 Layer III (MP3) Algorithm Using MATLAB. Synthesis Lectures on Algorithms and Software in Engineering, Morgan & Claypool Publishers 2011, ISBN 978-3-031-00390-5
[j36]
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Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Michael Goryll, Andreas Spanias, Trevor Thornton, Stephen M. Phillips:
Transform domain features for ion-channel signal classification. Biomed. Signal Process. Control. 6(3): 219-224 (2011)
[j35]
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Khawza I. Ahmed, Cihan Tepedelenlioglu, Andreas Spanias, Mohammad N. Patwary, Hongnian Yu:
Error probability-based optimal training for linearly decoded orthogonal space-time block coded wireless systems. IET Commun. 5(11): 1512-1529 (2011)
[j34]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Optimality and stability of the K-hyperline clustering algorithm. Pattern Recognit. Lett. 32(9): 1299-1304 (2011)
[j33]
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Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
On the Asymptotic Efficiency of Distributed Estimation Systems With Constant Modulus Signals Over Multiple-Access Channels. IEEE Trans. Inf. Theory 57(10): 7125-7130 (2011)
[j32]
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Lakshminarayan Ravichandran, Antonia Papandreou-Suppappola, Andreas Spanias, Zoé Lacroix, Christophe Legendre:
Waveform Mapping and Time-Frequency Processing of DNA and Protein Sequences. IEEE Trans. Signal Process. 59(9): 4210-4224 (2011)
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Alexandros Kyriakides, Costas Pitris, Andreas Spanias:
Isolated word endpoint detection using time-frequency variance kernels. ACSCC 2011: 585-589
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Alexandros Kyriakides, Costas Pitris, Alex Fink, Andreas Spanias:
Isolated word endpoint detection using time-frequency variance kernels. ACSCC 2011: 1041-1045
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Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Optimized measurements for kernel compressive sensing. ACSCC 2011: 1443-1446
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Jayaraman J. Thiagarajan, Andreas Spanias:
Learning dictionaries for local sparse coding in image classification. ACSCC 2011: 2014-2018
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Alex Fink, Andreas Spanias:
Estimation of signal subspace-constrained inputs to linear systems. ACSCC 2011: 2025-2028
[c87]
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  - conf/fie/LiuSBTRHZ11
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Jinru Liu, Andreas Spanias, Mahesh K. Banavar, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Xue Zhang:
Work in progress - Interactive signal-processing labs and simulations on iOS devices. FIE 2011: 2
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Linda Hinnov, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Work in progress: The J-DSP/ESE software for analyzing Earth systems signals. FIE 2011: 3
[c85]
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Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Michael Goryll, Andreas Spanias, Trevor Thornton:
Analyte detection using an ion-channel sensor array. DSP 2011: 1-6
[c84]
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Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias:
Improved sparse coding using manifold projections. ICIP 2011: 1237-1240
[c83]
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Alex Fink, Andreas Spanias:
Constrained estimation of percussive sound excitations. WASPAA 2011: 201-204
[i3]
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Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed SNR Estimation using Constant Modulus Signaling over Gaussian Multiple-Access Channels. CoRR abs/1102.4810 (2011)
2010
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Karthikeyan Natesan Ramamurthy, Andreas Spanias:
MATLAB Software for the Code Excited Linear Prediction Algorithm: The Federal Standard-1016. Synthesis Lectures on Algorithms and Software in Engineering, Morgan & Claypool Publishers 2010, ISBN 978-3-031-00386-8
[j31]
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Gordon Wichern, Brandon Mechtley, Alex Fink, Harvey D. Thornburg, Andreas Spanias:
An Ontological Framework for Retrieving Environmental Sounds Using Semantics and Acoustic Content. EURASIP J. Audio Speech Music. Process. 2010 (2010)
[j30]
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Gordon Wichern, Jiachen Xue, Harvey D. Thornburg, Brandon Mechtley, Andreas Spanias:
Segmentation, Indexing, and Retrieval for Environmental and Natural Sounds. IEEE Trans. Speech Audio Process. 18(3): 688-707 (2010)
[j29]
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Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias:
Estimation over fading channels with limited feedback using distributed sensing. IEEE Trans. Signal Process. 58(1): 414-425 (2010)
[c82]
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Alex Fink, Harvey D. Thornburg, Andreas Spanias:
An individually tunable perfect reconstruction filterbank for banded waveguide synthesis. ICASSP 2010: 37-40
[c81]
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Gordon Wichern, Makoto Yamada, Harvey D. Thornburg, Masashi Sugiyama, Andreas Spanias:
Automatic audio tagging using covariate shift adaptation. ICASSP 2010: 253-256
[c80]
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Brandon Mechtley, Gordon Wichern, Harvey D. Thornburg, Andreas Spanias:
Combining semantic, social, and acoustic similarity for retrieval of environmental sounds. ICASSP 2010: 2402-2405
[c79]
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Mahesh K. Banavar, Anthony D. Smith, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed detection over fading macs with multiple antennas at the fusion center. ICASSP 2010: 2894-2897
[c78]
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Narayan Kovvali, Chad Prior, Karel Cizek, Michal Galik, Alvaro Diaz, Erica Forzani, Avi Cagan, Joseph Wang, Nongjian Tao, Douglas Cochran, Andreas Spanias, Ray Tsui:
Least-squares based feature extraction and sensor fusion for explosive detection. ICASSP 2010: 2918-2921
[c77]
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Lakshminarayan Ravichandran, Antonia Papandreou-Suppappola, Andreas Spanias, Zoé Lacroix, Christophe Legendre:
Time-frequency based biological sequence querying. ICASSP 2010: 4174-4177
[c76]
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Harish Krishnamoorthi, Andreas Spanias, Visar Berisha, Homin Kwon, Harvey D. Thornburg:
An auditory-domain based speech enhancement algorithm. ICASSP 2010: 4786-4789
[c75]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Dimensionality Reduction for Distance Based Video Clustering. AIAI 2010: 270-277
[c74]
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Steven R. Miller, Andreas S. Spanias, Antonia Papandreou-Suppappola, Robert W. Santucci:
Enhanced direction of arrival estimation via reassigned space-time-frequency methods. ISCAS 2010: 2538-2541
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Mahesh K. Banavar, Anthony D. Smith, Cihan Tepedelenlioglu, Andreas Spanias:
Distributed Detection over Fading MACs with Multiple Antennas at the Fusion Center. CoRR abs/1001.3173 (2010)
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Cihan Tepedelenlioglu, Mahesh K. Banavar, Andreas Spanias:
On Inequalities Relating the Characteristic Function and Fisher Information. CoRR abs/1007.1483 (2010)

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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Venkatraman Atti, Andreas Spanias:
Perceptually-Motivated All-Pole Modeling. IEEE Signal Process. Lett. 16(8): 695-698 (2009)
[j27]
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Harish Krishnamoorthi, Andreas Spanias, Visar Berisha:
A Frequency/Detector Pruning Approach for Loudness Estimation. IEEE Signal Process. Lett. 16(11): 997-1000 (2009)
[j26]
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Homin Kwon, Visar Berisha, Venkatraman Atti, Andreas Spanias:
Experiments With Sensor Motes and Java-DSP. IEEE Trans. Educ. 52(2): 257-262 (2009)
[c73]
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Bharatan Konnanath, Prasanna Sattigeri, Trupthi Mathew, Andreas Spanias, Shalini Prasad, Michael Goryll, Trevor Thornton, Peter Knee:
Acquiring and Classifying Signals from Nanopores and Ion-Channels. ICANN (2) 2009: 265-274
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Gordon Wichern, Harvey D. Thornburg, Andreas Spanias:
Multi-channel audio segmentation for continuous observation and archival of large spaces. ICASSP 2009: 237-240
[c71]
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Harish Krishnamoorthi, Visar Berisha, Andreas Spanias, Homin Kwon:
Low-complexity sinusoidal component selection using loudness patterns. ICASSP 2009: 301-304
[c70]
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Tushar Gupta, Seth B. Suppappola, Andreas Spanias:
Nonlinear acoustic echo control using an accelerometer. ICASSP 2009: 1313-1316
[c69]
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Scott Philips, Visar Berisha, Andreas Spanias:
Energy-constrained discriminant analysis. ICASSP 2009: 3281-3284
[c68]
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Bharatan Konnanath, Hyuntae Kim, Andreas Spanias, Bertan Bakkaloglu, Joseph Wang, Ashok Mulchandani, Nosang Myung:
A real-time monitoring system for diesel and gasoline exhaust exposure. DPS 2009: 1-5
[c67]
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Gordon Wichern, Homin Kwon, Andreas Spanias, Alex Fink, Harvey D. Thornburg:
Continuous observation and archival of acoustic scenes using wireless sensor networks. DPS 2009: 1-6
[c66]
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Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias:
Fast image registration with non-stationary Gauss-Markov random field templates. ICIP 2009: 185-188
[c65]
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Homin Kwon, Harish Krishnamoorthi, Visar Berisha, Andreas Spanias:
A Sensor Network for Real-time Acoustic Scene Analysis. ISCAS 2009: 169-172
[c64]
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Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias:
Template Learning using Wavelet Domain Statistical Models. SGAI Conf. 2009: 179-192
[c63]
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Gordon Wichern, Harvey D. Thornburg, Andreas Spanias:
Unifying semantic and content-based approaches for retrieval of environmental sounds. WASPAA 2009: 13-16
2008
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Jeffrey A. Foutz, Andreas Spanias, Mahesh K. Banavar:
Narrowband Direction of Arrival Estimation for Antenna Arrays. Synthesis Lectures on Antennas, Morgan & Claypool Publishers 2008, ISBN 978-3-031-00409-4
[j25]
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Venkatraman Atti, Andreas Spanias, Kostas Tsakalis, Constantinos Panayiotou, Leonidas D. Iasemidis, Visar Berisha:
Gradient projection-based channel equalization under sustained fading. Signal Process. 88(2): 236-246 (2008)
[c62]
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Philipos C. Loizou, Marios Pantziaris, Andrew Nicolaides, Andreas Spanias, Marios S. Pattichis, Constantinos S. Pattichis:
Ultrasound imaging media layer texture analysis of the carotid artery. BIBE 2008: 1-6
[c61]
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Jiachen Xue, Gordon Wichern, Harvey D. Thornburg, Andreas Spanias:
Fast query by example of environmental sounds via robust and efficient cluster-based indexing. ICASSP 2008: 5-8
[c60]
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Harish Krishnamoorthi, Visar Berisha, Andreas Spanias:
A low-complexity loudness estimation algorithm. ICASSP 2008: 361-364
[c59]
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Mahesh K. Banavar, Cihan Tepedelenlioglu, Andreas Spanias:
Performance of distributed estimation over multiple access fading channels with partial feedback. ICASSP 2008: 2253-2256
[c58]
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Homin Kwon, Visar Berisha, Andreas Spanias:
Real-time sensing and acoustic scene characterization for security applications. ISWPC 2008: 755-758
[c57]
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Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias:
Sparse Representations for Pattern Classification using Learned Dictionaries. SGAI Conf. 2008: 33-45
2007
[j24]
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Visar Berisha, Andreas Spanias:
Wideband Speech Recovery Using Psychoacoustic Criteria. EURASIP J. Audio Speech Music. Process. 2007 (2007)
[c56]
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Gordon Wichern, Harvey D. Thornburg, Brandon Mechtley, Alex Fink, Kai Tu, Andreas Spanias:
Robust Multi-Features Segmentation and Indexing for Natural Sound Environments. CBMI 2007: 69-76
[c55]
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Niranjan Chakravarthy, Shivkumar Sabesan, Andreas Spanias, Leonidas D. Iasemidis, Kostas Tsakalis:
A feedback systems approach to modeling neural firing-rate homeostasis. CDC 2007: 602-608
[c54]
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Lakshmi Girija, Andreas S. Spanias:
Analysis of the Matrix Processing (MxP) Architecture. ICASSP (2) 2007: 377-380
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Visar Berisha, Andreas Spanias:
A Scalable Bandwidth Extension Algorithm. ICASSP (4) 2007: 601-604
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Kai Tu, Harvey D. Thornburg, Matthew Fulmer, Andreas Spanias:
Tracking the Path Shape Qualities of Human Motion. ICASSP (2) 2007: 781-784
[c51]
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Visar Berisha, Nitesh Shah, Donald E. Waagen, Harry Schmitt, Salvatore Bellofiore, Andreas Spanias, Douglas Cochran:
Sparse Manifold Learning with Applications to SAR Image Classification. ICASSP (3) 2007: 1089-1092
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Ghassan Maalouli, Andreas Spanias:
Analysis and Mitigation of Doppler Rate Effect in a Multipath Channel. ICC 2007: 3040-3044
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Jeffrey A. Foutz, Andreas S. Spanias:
An Adaptive Low Rank Algorithm for Semispherical Antenna Arrays. ISCAS 2007: 113-116
[c48]
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Kai Tu, Harvey D. Thornburg, Ellen Campana, David Birchfield, Matthew Fulmer, Andreas Spanias:
Interaction and reflection via 3D path shape qualities in a mediated constructive learning environment. ACM Multimedia EMME Workshop 2007: 37-46
[c47]
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Visar Berisha, Andreas Spanias:
Dual-Mode Wideband Speech Compression. MMSP 2007: 52-55
2006
[j23]
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Andreas Spanias, James H. McClellan, Alen Docef:
Teach-Ware: DSP education resources. IEEE Signal Process. Mag. 23(4): 136-137 (2006)
[j22]
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Khawza I. Ahmed, Cihan Tepedelenlioglu, Andreas Spanias:
Performance of precoded OFDM with channel estimation error. IEEE Trans. Signal Process. 54(3): 1165-1171 (2006)
[c46]
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Ghassan Maalouli, Andreas Spanias:
Equalization of a Time-Varying Channel in the Presence of Doppler Rate. ICASSP (3) 2006: 1112-1115
[c45]
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Visar Berisha, Homin Kwon, Andreas Spanias:
Real-Time Collaborative Monitoring in Wireless Sensor Networks. ICASSP (3) 2006: 1120-1123
[c44]
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Khawza I. Ahmed, Cihan Tepedelenlioglu, Andreas Spanias:
Optimal Training and Performance Analysis of Space-Time-Frequency Coded OFDM. ICC 2006: 2929-2934
[c43]
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Visar Berisha, Homin Kwon, Andreas Spanias:
Real-time acoustic monitoring using wireless sensor motes. ISCAS 2006
[c42]
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A. Natarajan, Venkatraman Atti, Andreas Spanias, Kostas Tsakalis, Leonidas D. Iasemidis:
A transform-domain G-PrOBE algorithm. ISCAS 2006
[c41]
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Visar Berisha, Andreas Spanias:
Bandwidth Extension of Audio Based on Partial Loudness Criteria. MMSP 2006: 146-149
[c40]
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Seth Benton, Andreas Spanias, Kai Tu, Harvey D. Thornburg, Gang Qian, Thanassis Rikakis:
Adaptive Beamforming and Particle Filtering. SPPRA 2006: 147-151
2005
[j21]
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Ted Painter, Andreas Spanias:
Perceptual segmentation and component selection for sinusoidal representations of audio. IEEE Trans. Speech Audio Process. 13(2): 149-162 (2005)
[j20]
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Andreas Spanias, Venkatraman Atti:
Interactive online undergraduate laboratories using J-DSP. IEEE Trans. Educ. 48(4): 735-749 (2005)
[c39]
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Amit S. Chhetri, Darryl Morrell, Antonia Papandreou-Suppappola, Chaitali Chakrabarti, Andreas Spanias, Jun Jason Zhang:
A Unified Bayesian Decision Theory Perspective to Sensor Networks. ISIC 2005: 598-603
[c38]
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Venkatraman Atti, Andreas Spanias:
Embedding Perceptual Metrics in Rate Control Algorithms. ISIC 2005: 861-865
[c37]
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Venkatraman Atti, Andreas Spanias:
Speech Analysis by Estimating Perceptually Relevant Pole Locations. ICASSP (1) 2005: 217-220
[c36]
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Yu Song, Andreas Spanias, Venkatraman Atti, Visar Berisha:
Interactive Java modules for the MPEG-1 psychoacoustic model [audio coding teaching applications]. ICASSP (5) 2005: 581-584
[c35]
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Khawza I. Ahmed, Cihan Tepedelenlioglu, Andreas Spanias:
PEP-based optimal training for MIMO systems in wireless channels. ICASSP (3) 2005: 793-796
[c34]
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Andreas Spanias, Venkatraman Atti:
Rate determination based on perceptual loudness. ISCAS (2) 2005: 848-851
[c33]
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Visar Berisha, Andreas Spanias:
Enhancing vocoder performance for music signals. ISCAS (4) 2005: 4050-4053
[c32]
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Visar Berisha, Andreas S. Spanias:
Enhancing the Quality of Coded Audio Using Perceptual Criteria. MMSP 2005: 1-4
2004
[j19]
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Niranjan Chakravarthy, Andreas Spanias, Leonidas D. Iasemidis, Kostas Tsakalis:
Autoregressive Modeling and Feature Analysis of DNA Sequences. EURASIP J. Adv. Signal Process. 2004(1): 13-28 (2004)
[j18]
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Balaji Veeramani, K. Narayanan, Awadhesh Prasad, Leonidas D. Iasemidis, Andreas S. Spanias, Kostas Tsakalis:
Measuring the direction and the strength of coupling in nonlinear Systems-a modeling approach in the State space. IEEE Signal Process. Lett. 11(7): 617-620 (2004)
[j17]
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Andreas Spanias, Venkatraman Atti, Antonia Papandreou-Suppappola, Khawza I. Ahmed, Moushumi Zaman, Thrassos Thrasyvoulou:
On-line signal processing using J-DSP. IEEE Signal Process. Lett. 11(10): 821-825 (2004)
[c31]
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Khawza I. Ahmed, Cihan Tepedelenlioglu, Andreas Spanias:
On the performance of optimal training-based OFDM with channel estimation error. GLOBECOM 2004: 2404-2408
[c30]
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Khawza I. Ahmed, Cihan Tepedelenlioglu, Andreas Spanias:
Effect of channel estimation on pair-wise error probability in OFDM. ICASSP (4) 2004: 745-748
[c29]
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Venkatraman Atti, Andreas Spanias:
Web-based experiments for introducing speech recognition basics in a DSP course. ICASSP (5) 2004: 1045-1048
[c28]
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Constantinos Panayiotou, Andreas Spanias, Kostas Tsakalis:
Channel equalization using the G-Probe. ISCAS (3) 2004: 501-504
2003
[j16]
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Ted Painter, Andreas Spanias:
Sinusoidal Analysis-Synthesis of Audio Using Perceptual Criteria. EURASIP J. Adv. Signal Process. 2003(1): 15-20 (2003)
[j15]
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N. Gopalan Nair, Andreas Spanias:
Fast adaptive algorithms using eigenspace projections. Signal Process. 83(9): 1929-1935 (2003)
[c27]
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Muhammad Yasin, Lina J. Karam, Andreas Spanias:
On-line laboratories for image and two-dimensional signal processing using 2D J-DSP. ICASSP (3) 2003: 785-788
[c26]
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Niranjan Chakravarthy, Andreas Spanias, Leonidas D. Iasemidis, Kostas Tsakalis:
Parametric Autoregressive Modeling of DNA Sequences. Modelling, Identification and Control 2003: 328-331
[c25]
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Thrassos Thrasyvoulou, Kostas Tsakalis, Andreas Spanias:
J-DSP-Control: A Control Systems Simulation Environment. Modelling, Identification and Control 2003: 538-542
[c24]
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Rajeshkumar Venugopal, Awadhesh Prasad, K. Narayanan, Andreas Spanias, Leonidas D. Iasemidis:
Nonlinear Noise Reduction and Predictability of Epileptic Seizures. Modelling and Simulation 2003: 240-245
[c23]
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Balaji Veeramani, K. Narayanan, Awadhesh Prasad, Andreas Spanias, Leonidas D. Iasemidis:
On the Use of Directed Transfer Function for Nonlinear Systems. Modelling and Simulation 2003: 270-274
[c22]
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Shivkumar Sabesan, K. Narayanan, Awadhesh Prasad, Andreas Spanias, Leonidas D. Iasemidis:
Improved Measure of Information Flow in Coupled Nonlinear Systems. Modelling and Simulation 2003: 329-333
2002
[j14]
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Kyriakos Kitsios, Andreas Spanias, Bruno D. Welfert:
Adaptive modified covariance algorithms for spectral analysis. Signal Process. 82(5): 715-720 (2002)
[c21]
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Brad Badke, Andreas S. Spanias:
Partial band interference excision for GPS using frequency-domain exponents. ICASSP 2002: 3936-3939
[c20]
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Ram Rangachar, Andreas S. Spanias:
A simulation tool for introducing MPEG - audio (MP3) concepts in a DSP course. ICASSP 2002: 4116-4119
[c19]
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Salvatore Bellofiore, Jeffrey A. Foutz, R. Govindarajula, Israfil Bahceci, Constantine A. Balanis, Andreas S. Spanias, Jeffrey M. Capone, Tolga M. Duman:
Adaptive antenna systems for mobile ad-hoc networks. ISCAS (1) 2002: 205-208
2001
[j13]
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Sassan Ahmadi, Andreas S. Spanias:
Low bit-rate speech coding based on an improved sinusoidal model. Speech Commun. 34(4): 369-390 (2001)
[c18]
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Andreas Spanias, Fikre Bizuneh:
Development of new functions and scripting capabilities in JavaA-DSP for easy creation and seamless integration of animated DSP simulations in Web courses. ICASSP 2001: 2717-2720
[c17]
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Ted Painter, Andreas Spanias:
Perceptual segmentation and component selection in compact sinusoidal representations of audio. ICASSP 2001: 3289-3292
[c16]
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Ted Painter, Andreas Spanias:
Perceptual component selection in sinusoidal coding of audio. MMSP 2001: 187-192
2000
[j12]
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Ted Painter, Andreas Spanias:
Perceptual coding of digital audio. Proc. IEEE 88(4): 451-515 (2000)
[j11]
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Min-Tau Lin, Andreas Spanias, Philipos C. Loizou:
An improved approach to robust speech recognition using minimum error classification. Speech Commun. 30(1): 27-36 (2000)
[c15]
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Andreas Spanias, Susan Urban, Argyris Constantinou, Maya Tampi, Axel Clausen, Xiaopeng Zhang, Jeffrey A. Foutz, Georgios Stylianou:
Development and evaluation of a Web-based signal and speech processing laboratory for distance learning. ICASSP 2000: 3534-3537
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Sassan Ahmadi, Andreas S. Spanias:
Minimum-variance phase prediction and frame interpolation algorithms for low bit rate sinusoidal speech coding. ISCAS 2000: 730-733

1990 – 1999

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1999
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Sassan Ahmadi, Andreas S. Spanias:
Cepstrum-based pitch detection using a new statistical V/UV classification algorithm. IEEE Trans. Speech Audio Process. 7(3): 333-338 (1999)
[j9]
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Philipos C. Loizou, Andreas S. Spanias:
Improved speech recognition using a subspace projection approach. IEEE Trans. Speech Audio Process. 7(3): 343-345 (1999)
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Hiren C. Bhagatwala, Edward M. Painter, Andreas S. Spanias:
An interactive tool for bit error rate analysis of speech coding algorithms. ICASSP 1999: 2179-2182
1998
[j8]
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Sassan Ahmadi, Andreas S. Spanias:
A new phase model for sinusoidal transform coding of speech. IEEE Trans. Speech Audio Process. 6(5): 495-501 (1998)
[c12]
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Axel Clausen, Andreas Spanias, Anand Xavier, Maya Tampi:
A Java signal analysis tool for signal processing experiments. ICASSP 1998: 1849-1852
1997
[c11]
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Michael E. Deisher, Andreas S. Spanias:
HMM-based speech enhancement using harmonic modeling. ICASSP 1997: 1175-1178
[c10]
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Sassan Ahmadi, Andreas S. Spanias:
A new sinusoidal phase modeling algorithm. ICASSP 1997: 1675-1678
1996
[j7]
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Philipos C. Loizou, Andreas S. Spanias:
High-performance alphabet recognition. IEEE Trans. Speech Audio Process. 4(6): 430-445 (1996)
[c9]
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Edward M. Painter, Andreas Spanias:
A MATLAB software tool for the introduction of speech coding fundamentals in a DSP course. ICASSP 1996: 1133-1136
1995
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Kostas Tsakalis, Michael E. Deisher, Andreas Spanias:
System identification based on bounded error constraints. IEEE Trans. Signal Process. 43(12): 3071-3075 (1995)
1994
[j5]
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Andreas S. Spanias:
Speech coding: a tutorial review. Proc. IEEE 82(10): 1541-1582 (1994)
[c8]
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Srikanth Karkada, Chaitali Chakrabarti, Andreas Spanias:
High Sample Rate Architectures for Block Adaptive Filters. ISCAS 1994: 131-134
[c7]
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Philipos C. Loizou, Andreas Spanias:
Context-Dependent Modeling in Alphabet Recognition. ISCAS 1994: 189-192
1993
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Andreas S. Spanias:
Block time and frequency domain modified covariance algorithms for spectral analysis. IEEE Trans. Signal Process. 41(11): 3138-3152 (1993)
[c6]
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Ralph Fulchiero, Andreas S. Spanias:
Speech enhancement using the bispectrum. ICASSP (4) 1993: 488-491
[c5]
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Ines Jebali Gdoura, Philipos C. Loizou, Andreas Spanias:
Speech processing using higher order statistics. ISCAS 1993: 160-163
1992
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Andreas Spanias, Gim Lim, Philipos C. Loizou, Michael E. Deisher:
Block time and frequency domain modified covariance algorithms. ICASSP 1992: 529-532
1991
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Andreas S. Spanias:
A hybrid transform method for analysis/synthesis of speech. Signal Process. 24(2): 217-229 (1991)
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Andreas S. Spanias, Stefan B. Jonsson, Samuel D. Stearns:
Transform methods for seismic data compression. IEEE Trans. Geosci. Remote. Sens. 29(3): 407-416 (1991)
[c3]
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Philipos C. Loizou, Andreas S. Spanias:
Vector quantization of transform components for speech coding at 1200 bps. ICASSP 1991: 245-248
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Michael E. Deisher, Andreas S. Spanias:
Real-time implementation of a frequency-domain adaptive filter on a fixed-point signal processor. ICASSP 1991: 2013-2016

1980 – 1989

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1988
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Wasfy B. Mikhael, Andreas S. Spanias:
A fast frequency-domain adaptive algorithm. Proc. IEEE 76(1): 80-82 (1988)
1985
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Wasfy B. Mikhael, Andreas S. Spanias, Frank H. Wu:
A two stage approach for adaptive prediction of ARMA processes. ICASSP 1985: 1505-1508

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