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ORCIDGregory Ditzler
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2020 – today
- 2024
[j18]Huayu Li
, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li:
Knowledge distillation under ideal joint classifier assumption. Neural Networks 173: 106160 (2024)- [j17]Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li:
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. IEEE J. Biomed. Health Informatics 28(9): 5081-5091 (2024) - 2023
- [j16]Samuel Hess, Gregory Ditzler:
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI. J. Mach. Learn. Res. 24: 325:1-325:49 (2023) - [c42]Nikolas Koutsoubis, Kyle Naddeo, Garrett Williams, George D. Lecakes, Gregory Ditzler, Nidhal C. Bouaynaya, Thomas Kiel:
Boosting Aerial Object Detection Performance via Virtual Reality Data and Multi-Object Training. IJCNN 2023: 1-8 - [i8]Huayu Li, Xiwen Chen, Gregory Ditzler, Ping Chang, Janet Roveda, Ao Li:
Knowledge Distillation Under Ideal Joint Classifier Assumption. CoRR abs/2304.11004 (2023) - [i7]Huayu Li, Gregory Ditzler:
PACOL: Poisoning Attacks Against Continual Learners. CoRR abs/2311.10919 (2023) - 2022
- [j15]David M. Schwartz, Travis W. Sawyer, Noah Thurston, Jennifer K. Barton, Gregory Ditzler:
Ovarian cancer detection using optical coherence tomography and convolutional neural networks. Neural Comput. Appl. 34(11): 8977-8987 (2022) - [c41]Manoj Gopale, Gregory Ditzler, Roman Lysecky, Janet Roveda:
Inter-Architecture Portability of Artificial Neural Networks and Side Channel Attacks. ACM Great Lakes Symposium on VLSI 2022: 117-121 - [c40]Huayu Li, Gregory Ditzler:
Targeted Data Poisoning Attacks Against Continual Learning Neural Networks. IJCNN 2022: 1-8 - [c39]David M. Schwartz, Gregory Ditzler:
On Reducing Adversarial Vulnerability with Data Dependent Stochastic Resonance. SSCI 2022: 1334-1341 - [i6]Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li:
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. CoRR abs/2208.00542 (2022) - [i5]Andrew Wang, Wyatt Mayor, Ryan Smith, Gopal Nookula, Gregory Ditzler:
Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks. CoRR abs/2208.09285 (2022) - [i4]Samuel Hess, Gregory Ditzler:
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks. CoRR abs/2211.14668 (2022) - 2021
- [j14]Srishti Gupta, Roman Golota, Gregory Ditzler:
Attack Transferability Against Information-Theoretic Feature Selection. IEEE Access 9: 115885-115894 (2021) - [j13]Heng Liu, Gregory Ditzler:
Data poisoning against information-theoretic feature selection. Inf. Sci. 573: 396-411 (2021) - [c38]Alex Berian, Kory Staab, Gregory Ditzler, Tamal Bose, Ravi Tandon:
Adversarial Filters for Secure Modulation Classification. ACSCC 2021: 361-367 - [c37]Sicong Shao, Pratik Satam, Shalaka Satam, Khalid Al-Awady, Gregory Ditzler, Salim Hariri, Cihan Tunc:
Multi-Layer Mapping of Cyberspace for Intrusion Detection. AICCSA 2021: 1-8 - [c36]Samuel Hess, Gregory Ditzler:
OrderNet: Sorting High Dimensional Low Sample Data with Few-Shot Learning. IJCNN 2021: 1-8 - [c35]David M. Schwartz, Gregory Ditzler:
Bolstering Adversarial Robustness with Latent Disparity Regularization. IJCNN 2021: 1-8 - [c34]Wenhan Zhang, Marwan Krunz, Gregory Ditzler:
Intelligent Jamming of Deep Neural Network Based Signal Classification for Shared Spectrum. MILCOM 2021: 987-992 - [i3]Samuel Hess, Gregory Ditzler:
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI. CoRR abs/2110.11597 (2021) - 2020
- [j12]Jong-Hyun Jeong, Hongki Jo, Gregory Ditzler:
Convolutional neural networks for pavement roughness assessment using calibration-free vehicle dynamics. Comput. Aided Civ. Infrastructure Eng. 35(11): 1209-1229 (2020) - [c33]Heng Liu, Gregory Ditzler:
Detecting Adversarial Audio via Activation Quantization Error. IJCNN 2020: 1-7 - [c32]Kuo-Shiuan Peng, Gregory Ditzler, Jerzy W. Rozenblit:
A Light-Weight Monocular Depth Estimation with Edge-Guided Occlusion Fading Reduction. ISVC (2) 2020: 69-81 - [c31]Heng Liu, Gregory Ditzler:
Adversarial Audio Attacks that Evade Temporal Dependency. SSCI 2020: 639-646 - [i2]Alex Berian, Kory Staab, Noel Teku, Gregory Ditzler, Tamal Bose, Ravi Tandon:
Adversarial Filters for Secure Modulation Classification. CoRR abs/2008.06785 (2020)
2010 – 2019
- 2019
- [j11]Heng Liu, Gregory Ditzler:
A semi-parallel framework for greedy information-theoretic feature selection. Inf. Sci. 492: 13-28 (2019) - [j10]Gregory Ditzler, Sean Miller, Jerzy W. Rozenblit:
Learning what we don't care about: Anti-training with sacrificial functions. Inf. Sci. 496: 198-211 (2019) - [j9]Roozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, Gregory Ditzler:
A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments. IEEE Trans. Ind. Electron. 66(1): 561-570 (2019) - [c30]Heng Liu, Gregory Ditzler:
Data Poisoning Attacks against MRMR. ICASSP 2019: 2517-2521 - [c29]Tianchi Zhao, Ming Li, Gregory Ditzler:
Online Reconfigurable Antenna State Selection based on Thompson Sampling. ICNC 2019: 888-893 - [i1]Kuo-Shiuan Peng, Gregory Ditzler, Jerzy W. Rozenblit:
Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation. CoRR abs/1911.11705 (2019) - 2018
- [j8]Zhengzhong Liang, David M. Schwartz, Gregory Ditzler, Onur Ozan Koyluoglu:
The impact of encoding-decoding schemes and weight normalization in spiking neural networks. Neural Networks 108: 365-378 (2018) - [j7]Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg:
AKRON: An algorithm for approximating sparse kernel reconstruction. Signal Process. 144: 265-270 (2018) - [j6]Gregory Ditzler, Robi Polikar, Gail Rosen:
A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2530-2544 (2018) - [j5]Gregory Ditzler, Joseph LaBarck, James Ritchie, Gail Rosen, Robi Polikar:
Extensions to Online Feature Selection Using Bagging and Boosting. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4504-4509 (2018) - [c28]Samuel Hess, Pratik Satam, Gregory Ditzler, Salim Hariri:
Malicious HTML File Prediction: A Detection and Classification Perspective with Noisy Data. AICCSA 2018: 1-7 - [c27]Jiashu Guo, Zhengzhong Liang, Gregory Ditzler, Nidhal C. Bouaynaya, Elizabeth Y. Scribner, Hassan M. Fathallah-Shaykh:
Nonlinear Brain Tumor Model Estimation with Long Short-Term Memory Neural Networks. IJCNN 2018: 1-8 - [c26]Zhengzhong Liang, Gregory Ditzler:
The Impact of an Adversary in a Language Model. SSCI 2018: 658-665 - 2017
- [c25]Victor Carluccio, Nidhal Bouaynaya, Gregory Ditzler, Hassan M. Fathallah-Shaykh:
The AKRON-Kalman filter for tracking time-varying networks. BHI 2017: 313-316 - [c24]Ehsan Esmaili, Ali Akoglu, Gregory Ditzler, Salim Hariri, Talal Moukabary, Jeno Szep:
Autonomic Management of 3D Cardiac Simulations. ICCAC 2017: 1-9 - [c23]Fabian De La Pena Montero, Salim Hariri, Gregory Ditzler:
A Self-Protection Agent Using Error Correcting Output Codes to Secure Computers and Applications. ICCAC 2017: 58-68 - [c22]Sara Makki, Rafiqul Haque, Yehia Taher, Zainab Assaghir, Gregory Ditzler, Mohand-Said Hacid, Hassan Zeineddine:
Fraud Data Analytics Tools and Techniques in Big Data Era. ICCAC 2017: 186-187 - [c21]Heng Liu, Gregory Ditzler:
A fast information-theoretic approximation of joint mutual information feature selection. IJCNN 2017: 4610-4617 - [c20]Sara Makki, Rafiqul Haque, Yehia Taher, Zainab Assaghir, Gregory Ditzler, Mohand-Said Hacid, Hassan Zeineddine:
Fraud Analysis Approaches in the Age of Big Data - A Review of State of the Art. FAS*W@SASO/ICCAC 2017: 243-250 - [c19]Gregory Ditzler, Salim Hariri, Ali Akoglu:
High Performance Machine Learning (HPML) Framework to Support DDDAS Decision Support Systems: Design Overview. FAS*W@SASO/ICCAC 2017: 360-362 - [c18]Gregory Ditzler, Ashley Prater:
Fine tuning lasso in an adversarial environment against gradient attacks. SSCI 2017: 1-7 - [c17]Heng Liu, Gregory Ditzler:
Speeding up joint mutual information feature selection with an optimization heuristic. SSCI 2017: 1-8 - 2016
- [c16]Gregory Ditzler:
A study of an incremental spectral meta-learner for nonstationary environments. IJCNN 2016: 38-44 - 2015
- [j4]Gregory Ditzler, J. Calvin Morrison, Yemin Lan, Gail Rosen:
Fizzy: feature subset selection for metagenomics. BMC Bioinform. 16: 358:1-358:8 (2015) - [j3]Gregory Ditzler, Manuel Roveri, Cesare Alippi, Robi Polikar:
Learning in Nonstationary Environments: A Survey. IEEE Comput. Intell. Mag. 10(4): 12-25 (2015) - [j2]Gregory Ditzler, Robi Polikar, Gail Rosen:
A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance. IEEE Trans. Neural Networks Learn. Syst. 26(4): 880-886 (2015) - 2014
- [c15]Gregory Ditzler, Gail L. Rosen:
Feature subset selection for inferring relative importance of taxonomy. BCB 2014: 673-679 - [c14]Gregory Ditzler, Matthew Austen, Gail L. Rosen, Robi Polikar:
Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. CIDM 2014: 439-445 - [c13]Gregory Ditzler, Gail L. Rosen, Robi Polikar:
Domain adaptation bounds for multiple expert systems under concept drift. IJCNN 2014: 595-601 - 2013
- [j1]Gregory Ditzler, Robi Polikar:
Incremental Learning of Concept Drift from Streaming Imbalanced Data. IEEE Trans. Knowl. Data Eng. 25(10): 2283-2301 (2013) - [c12]Gregory Ditzler, Gail Rosen, Robi Polikar:
Discounted expert weighting for concept drift. CIDUE 2013: 61-67 - [c11]Gregory Ditzler, Gail Rosen, Robi Polikar:
Incremental learning of new classes from unbalanced data. IJCNN 2013: 1-8 - 2012
- [c10]Gregory Ditzler, Gail Rosen, Robi Polikar:
Information theoretic feature selection for high dimensional metagenomic data. GENSiPS 2012: 143-146 - [c9]Gregory Ditzler, Gail Rosen, Robi Polikar:
Forensic identification with environmental samples. ICASSP 2012: 1861-1864 - [c8]Gregory Ditzler, Gail L. Rosen, Robi Polikar:
Transductive learning algorithms for nonstationary environments. IJCNN 2012: 1-8 - 2011
- [c7]Gregory Ditzler, Robi Polikar:
Hellinger distance based drift detection for nonstationary environments. CIDUE 2011: 41-48 - [c6]Gregory Ditzler, Robi Polikar:
Semi-supervised learning in nonstationary environments. IJCNN 2011: 2741-2748 - 2010
- [c5]Gregory Ditzler, James Ethridge, Ravi Prakash Ramachandran, Robi Polikar:
Fusion methods for boosting performance of speaker identification systems. APCCAS 2010: 116-119 - [c4]James Ethridge, Gregory Ditzler, Robi Polikar:
Optimal nu-SVM parameter estimation using multi objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]Gregory Ditzler, Robi Polikar, Nitesh V. Chawla:
An Incremental Learning Algorithm for Non-stationary Environments and Class Imbalance. ICPR 2010: 2997-3000 - [c2]Gregory Ditzler, Robi Polikar:
An ensemble based incremental learning framework for concept drift and class imbalance. IJCNN 2010: 1-8 - [c1]Gregory Ditzler, Michael D. Muhlbaier, Robi Polikar:
Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC. MCS 2010: 33-42
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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