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ORCIDEmmanuel Agu
Emmanuel O. Agu
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- affiliation: Worcester Polytechnic Institute, Department of Computer Science, MA, USA
- affiliation (PhD): University of Massachusetts Amherst, MA, USA
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2020 – today
- 2024
[c102]Trusting Inekwe, Winnie Mkandawire, Brian Wee, Emmanuel Agu, Andrés Colubri:
Biomarker Trajectory Prediction and Causal Analysis of the Impact of the Covid-19 Pandemic on CVD Patients using Machine Learning. CHASE 2024: 1-12- [i7]Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar, Shefalika Gautam, Reza Saadati Fard, Bengisu Tulu, Diane M. Strong:
Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers. CoRR abs/2405.00858 (2024) - [i6]Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee:
Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition. CoRR abs/2409.17483 (2024) - [i5]Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee:
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition. CoRR abs/2409.18481 (2024) - [i4]Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee:
Contrastive Learning with Auxiliary User Detection for Identifying Activities. CoRR abs/2410.21300 (2024) - 2023
- [j30]Apiwat Ditthapron
, Adam C. Lammert, Emmanuel O. Agu:
ADL-GAN: Data Augmentation to Improve In-the-Wild ADL Recognition Using GANs. IEEE Access 11: 50671-50688 (2023) - [j29]Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee:
Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 159:1-159:23 (2023) - [j28]Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Domain Adaptation Methods for Lab-to-Field Human Context Recognition. Sensors 23(6): 3081 (2023) - [j27]Diane M. Strong, Bengisu Tulu, Emmanuel Agu, Peder C. Pedersen:
Search and Evaluation of Coevolving Problem and Solution Spaces in a Complex Healthcare Design Science Research Project. IEEE Trans. Engineering Management 70(3): 912-926 (2023) - [j26]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner, Angela Incollingo Rodriguez:
INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping. Vis. Informatics 7(2): 13-29 (2023) - [c101]Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Stabilizing Adversarial Training for Generative Networks. IEEE Big Data 2023: 5223-5232 - [c100]Joshua Audibert, Elijah Gonzalez, Ryan Orlando, Nicholas Wong, Emmanuel Agu, Mark Claypool:
Machine Learning Prediction of Just Dance Exergame Enjoyment from Mobile Sensor Data. CoG 2023: 1-8 - [c99]Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Adversarial Human Context Recognition: Evasion Attacks and Defenses. COMPSAC 2023: 223-232 - [c98]Abdulsalam Almadani, Emmanuel Agu, Atifa Sarwar, Monica Ahluwalia, Jacques Kpodonu:
HCM-Dynamic-Echo: A Framework for Detecting Hypertrophic Cardiomyopathy (HCM) in Echocardiograms. ICDH 2023: 217-226 - [c97]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Population-Level Visual Analytics of Smartphone Sensed Health and Wellness Using Community Phenotypes. ICHI 2023: 420-429 - [c96]Apiwat Ditthapron, Emmanuel O. Agu, Peder C. Pedersen, Clifford Lindsay, Bengisu Tulu, Diane M. Strong:
On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment. ICMLA 2023: 2113-2118 - [c95]Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert:
Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health. INTERSPEECH 2023: 2843-2847 - [c94]Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Elke A. Rundensteiner, Emmanuel Agu:
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes. NeurIPS 2023 - [c93]Wen Ge, Guanyi Mou, Emmanuel O. Agu, Kyumin Lee:
Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition. PerCom Workshops 2023: 350-354 - [i3]Atifa Sarwar, Emmanuel O. Agu:
CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 using Biobehavioral Rhythms Derived from Wearable Physiological Data. CoRR abs/2301.10168 (2023) - [i2]Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert:
Masking Kernel for Learning Energy-Efficient Speech Representation. CoRR abs/2302.04161 (2023) - 2022
- [j25]Zhuoran Su, Kaveh Pahlavan, Emmanuel Agu, Haowen Wei:
Proximity Detection During Epidemics: Direct UWB TOA Versus Machine Learning Based RSSI. Int. J. Wirel. Inf. Networks 29(4): 480-490 (2022) - [j24]David Clement, Emmanuel Agu, John Obayemi, Steve A. Adeshina, Wole Soboyejo:
Breast Cancer Tumor Classification Using a Bag of Deep Multi-Resolution Convolutional Features. Informatics 9(4): 91 (2022) - [j23]Wafaa Salem Almuhammadi, Emmanuel Agu, Jean King, Patricia Franklin:
OA-Pain-Sense: Machine Learning Prediction of Hip and Knee Osteoarthritis Pain from IMU Data. Informatics 9(4): 97 (2022) - [j22]Qian He, Emmanuel O. Agu:
Context-Aware Probabilistic Models for Predicting Future Sedentary Behaviors of Smartphone Users. J. Heal. Informatics Res. 6(1): 112-152 (2022) - [j21]Apiwat Ditthapron, Adam C. Lammert, Emmanuel O. Agu:
Continuous TBI Monitoring From Spontaneous Speech Using Parametrized Sinc Filters and a Cascading GRU. IEEE J. Biomed. Health Informatics 26(7): 3517-3528 (2022) - [c92]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recovering the Propensity Score from Biased Positive Unlabeled Data. AAAI 2022: 6694-6702 - [c91]Hamza Abujrida, Emmanuel Agu, Kaveh Pahlavan:
DeePaGait: Motor Assessment of Parkinson's Disease Using a Multi-Layer 1D Convolutional Neural Network on Smartphone Gait Data. IEEE Big Data 2022: 5153-5162 - [c90]Abdulsalam Almadani, Abhishek Shivdeo, Emmanuel Agu, Jacques Kpodonu:
Deep Video Action Recognition Models for Assessing Cardiac Function from Echocardiograms. IEEE Big Data 2022: 5189-5199 - [c89]Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke A. Rundensteiner, Emmanuel Agu:
HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition. IEEE Big Data 2022: 5233-5242 - [c88]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels. CIKM 2022: 582-591 - [c87]Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Triplet-based Domain Adaptation (Triple-DARE) for Lab-to-field Human Context Recognition. PerCom Workshops 2022: 155-161 - [c86]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
Positive Unlabeled Learning with a Sequential Selection Bias. SDM 2022: 19-27 - [c85]Wen Ge, Emmanuel O. Agu:
QCRUFT: Quaternion Context Recognition under Uncertainty using Fusion and Temporal Learning. ICSC 2022: 41-50 - [i1]Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu:
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning. CoRR abs/2206.06775 (2022) - 2021
- [j20]Zhuoran Su, Kaveh Pahlavan, Emmanuel Agu:
Performance Evaluation of COVID-19 Proximity Detection Using Bluetooth LE Signal. IEEE Access 9: 38891-38906 (2021) - [j19]Ruojun Li, Ganesh Prasanna Balakrishnan, Jiaming Nie, Yu Li, Emmanuel Agu, Kristin Grimone, Debra Herman, Ana Abrantes, Michael Stein:
Estimation of Blood Alcohol Concentration From Smartphone Gait Data Using Neural Networks. IEEE Access 9: 61237-61255 (2021) - [j18]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Visual Analytics of Smartphone-Sensed Human Behavior and Health. IEEE Computer Graphics and Applications 41(3): 96-104 (2021) - [j17]Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke A. Rundensteiner:
Smartphone Health Biomarkers: Positive Unlabeled Learning of In-the-Wild Contexts. IEEE Pervasive Comput. 20(1): 50-61 (2021) - [j16]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
ARGUS: Interactive visual analysis of disruptions in smartphone-detected Bio-Behavioral Rhythms. Vis. Informatics 5(3): 39-53 (2021) - [c84]Haadi Mombini, Bengisu Tulu, Diane M. Strong, Emmanuel O. Agu, Clifford Lindsay, Lorraine Loretz, Peder C. Pedersen, Raymond Dunn:
An Explainable Machine Learning Model for Chronic Wound Management Decisions. AMCIS 2021 - [c83]Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Thomas Hartvigsen, Elke A. Rundensteiner, Emmanuel Agu:
Variational Open Set Recognition (VOSR). IEEE BigData 2021: 994-1001 - [c82]Caitlin Enright, Theodoros Konstantopoulos, Orlando Pinel Aviles, Jean-Philippe Pierre, Emmanuel Agu:
Passive Smartphone Contact Tracing and Continuous COVID-19 Infection Risk Assessment. IEEE BigData 2021: 4675-4686 - [c81]Walter Gerych, Harrison Kim, Joshua DeOliveira, MaryClare Martin, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus. IEEE BigData 2021: 4705-4714 - [c80]Sayali Shelke, Emmanuel Agu:
TBI2Vec: Traumatic Brain Injury Smartphone Sensing using AutoEncoder Embeddings. IEEE BigData 2021: 4770-4779 - [c79]Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu:
DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning. IEEE BigData 2021: 5143-5152 - [c78]Bhoomi Kalpesh Patel, Srinarayan Srikanthan, Florina Asani, Emmanuel Agu:
Machine Learning Prediction of TBI from Mobility, Gait and Balance Patterns. CHASE 2021: 11-22 - [c77]Oleksandr Semenov, Emmanuel Agu, Kaveh Pahlavan:
Machine Learning Estimation of COVID-19 Social Distance using Smartphone Sensor Data. EMBC 2021: 4452-4457 - [c76]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Exploratory Data Analysis of Population Level Smartphone-Sensed Data. VISIGRAPP (Revised Selected Papers) 2021: 206-231 - [c75]Atifa Sarwar, Emmanuel Agu:
Passive COVID-19 Assessment using Machine Learning on Physiological and Activity Data from Low End Wearables. ICDH 2021: 80-90 - [c74]Shreesha Narasimha Murthy, Emmanuel Agu:
Deep Learning Anomaly Detection methods to passively detect COVID-19 from Audio. ICDH 2021: 114-121 - [c73]Srinarayan Srikanthan, Florina Asani, Bhoomi Kalpesh Patel, Emmanuel Agu:
Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection. ICDH 2021: 122-132 - [c72]Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Elke A. Rundensteiner, Emmanuel Agu:
Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces. ICMLA 2021: 345-350 - [c71]Walter Gerych, Jessica L. Bader, Declan Nelson, Thalia Chao-Zhang, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets. ICMLA 2021: 1010-1015 - [c70]Apiwat Ditthapron, Emmanuel O. Agu, Adam C. Lammert:
Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection. ICMLA 2021: 1482-1486 - [c69]Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
PLEADES: Population Level Observation of Smartphone Sensed Symptoms for In-the-wild Data using Clustering. VISIGRAPP (3: IVAPP) 2021: 64-75 - [c68]Songlin Hou, Clifford Lindsay, Emmanuel Agu, Peder C. Pedersen, Bengisu Tulu, Diane M. Strong:
HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion. MIUA 2021: 307-321 - [c67]Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification. NeurIPS 2021: 15981-15992 - [c66]Kavin Chandrasekaran, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Emmanuel Agu, Elke A. Rundensteiner:
CARTMAN: Complex Activity Recognition Using Topic Models for Feature Generation from Wearable Sensor Data. SMARTCOMP 2021: 39-46 - 2020
- [j15]Ameya Wagh, Shubham Jain, Apratim Mukherjee, Emmanuel Agu, Peder C. Pedersen, Diane M. Strong, Bengisu Tulu, Clifford Lindsay, Ziyang Liu:
Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches. IEEE Access 8: 181590-181604 (2020) - [c65]Haadi Mombini, Bengisu Tulu, Diane M. Strong, Emmanuel O. Agu, Clifford Lindsay, Lorraine Loretz, Peder C. Pedersen, Raymond Dunn:
Do Novice and Expert Users of Clinical Decision Support Tools Need Different Explanations? AMCIS 2020 - [c64]Haadi Mombini, Emmanuel Agu, Diane M. Strong, Holly Nguyen, Clifford Lindsay, Lorraine Loretz, Peder C. Pedersen, Raymond Dunn, Bengisu Tulu:
Prediction of Chronic Wound Care Decisions Using Machine Learning. AMIA 2020 - [c63]Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Elke A. Rundensteiner, Emmanuel Agu:
BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias. IEEE BigData 2020: 147-154 - [c62]Nichole Etienne, Emmanuel Agu:
Investigating Transfer Learning of Smartphone-Sensed Stress in University Populations. IEEE BigData 2020: 4850-4858 - [c61]Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data. IEEE BigData 2020: 4882-4891 - [c60]Shreesha Narasimha Murthy, Florina Asani, Srinarayan Srikanthan, Emmanuel Agu:
DeepSEAS: Smartphone-based Early Ailment Sensing Using Coupled LSTM AutoEncoders. IEEE BigData 2020: 4911-4918 - [c59]Haadi Mombini, Bengisu Tulu, Diane M. Strong, Emmanuel Agu, Holly Nguyen, Clifford Lindsay, Lorraine Loretz, Peder C. Pedersen, Raymond Dunn:
Design of a Machine Learning System for Prediction of Chronic Wound Management Decisions. DESRIST 2020: 15-27 - [c58]Alexander Fitzgerald, Sam Huang, Kyle Sposato, Dongjie Wang, Mark Claypool, Emmanuel Agu:
The Exergame Enjoyment Questionnaire (EEQ): An Instrument for Measuring Exergame Enjoyment. HICSS 2020: 1-10 - [c57]Wen Ge, Emmanuel Agu:
CRUFT: Context Recognition under Uncertainty using Fusion and Temporal Learning. ICMLA 2020: 747-752 - [c56]Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke A. Rundensteiner:
DeepContext: Parameterized Compatibility-Based Attention CNN for Human Context Recognition. ICSC 2020: 53-60 - [c55]Hamid Mansoor, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms. EuroVis (Short Papers) 2020: 25-29
2010 – 2019
- 2019
- [j14]Xixuan Zhao, Ziyang Liu, Emmanuel Agu, Ameya Wagh, Shubham Jain, Clifford Lindsay, Bengisu Tulu, Diane M. Strong, Jiangming Kan:
Fine-Grained Diabetic Wound Depth and Granulation Tissue Amount Assessment Using Bilinear Convolutional Neural Network. IEEE Access 7: 179151-179162 (2019) - [j13]Maryam Hasan, Elke A. Rundensteiner, Emmanuel Agu:
Automatic emotion detection in text streams by analyzing Twitter data. Int. J. Data Sci. Anal. 7(1): 35-51 (2019) - [c54]Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke A. Rundensteiner:
COMEX: Identifying Mislabeled Human Behavioral Context Data Using Visual Analytics. COMPSAC (2) 2019: 233-238 - [c53]Colin Willoughby, Ian Banatoski, Paul Roberts, Emmanuel Agu:
DrunkSelfie: Intoxication Detection from Smartphone Facial Images. COMPSAC (2) 2019: 496-501 - [c52]Md Arabin Islam Talukder, Hossain Shahriar, Kai Qian, Mohammad Ashiqur Rahman, Sheikh Iqbal Ahamed, Fan Wu, Emmanuel Agu:
DroidPatrol: A Static Analysis Plugin For Secure Mobile Software Development. COMPSAC (1) 2019: 565-569 - [c51]Ruojun Li, Ganesh Prasanna Balakrishnan, Jiaming Nie, Yu Li, Emmanuel Agu, Michael Stein, Ana Abrantes, Debra Herman, Kristin Grimone:
On Smartphone Sensability of Bi-Phasic User Intoxication Levels from Diverse Walk Types in Standardized Field Sobriety Tests. EMBC 2019: 3279-3285 - [c50]Walter Gerych, Emmanuel Agu, Elke A. Rundensteiner:
Classifying Depression in Imbalanced Datasets Using an Autoencoder- Based Anomaly Detection Approach. ICSC 2019: 124-127 - 2018
- [j12]Charles Lovering, Anqi Lu, Cuong Nguyen, Huyen Nguyen, David Hurley, Emmanuel Agu:
Fact or Fiction. Proc. ACM Hum. Comput. Interact. 2(CSCW): 111:1-111:15 (2018) - [c49]Kai Qian, Dan Chia-Tien Lo, Reza M. Parizi, Fan Wu, Emmanuel Agu, Bei-Tseng Chu:
Authentic Learning Secure Software Development (SSD) in Computing Education. FIE 2018: 1-9 - 2017
- [j11]Maryam Hasan, Elke A. Rundensteiner, Xiangnan Kong, Emmanuel Agu:
Discover trends in public emotion using social sensing. SIGWEB Newsl. 2017(Spring): 2:1-2:5 (2017) - [j10]Lei Wang, Peder C. Pedersen, Emmanuel Agu, Diane M. Strong, Bengisu Tulu:
Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification. IEEE Trans. Biomed. Eng. 64(9): 2098-2109 (2017) - [c48]Qian He, Emmanuel O. Agu:
A Rhythm Analysis-Based Model to Predict Sedentary Behaviors. CHASE 2017: 383-391 - [c47]Maryam Hasan, Elke A. Rundensteiner, Xiangnan Kong, Emmanuel Agu:
Using Social Sensing to Discover Trends in Public Emotion. ICSC 2017: 172-179 - [c46]Kai Qian, Hossain Shahriar, Fan Wu, Cassandra Thomas, Emmanuel Agu:
Broadening Secure Mobile Software Development (SMSD) Through Curriculum Development (Abstract Only). SIGCSE 2017: 715 - [c45]Andrew McAfee, Jacob Watson, Ben Bianchi, Christina Aiello, Emmanuel Agu:
AlcoWear: Detecting blood alcohol levels from wearables. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - 2016
- [c44]Qian He, Emmanuel O. Agu:
A frequency domain algorithm to identify recurrent sedentary behaviors from activity time-series data. BHI 2016: 45-48 - [c43]Bengisu Tulu, Diane M. Strong, Lei Wang, Qian He, Emmanuel Agu, Peder C. Pedersen, Soussan Djamasbi:
Design Implications of User Experience Studies: The Case of a Diabetes Wellness App. HICSS 2016: 3473-3482 - [c42]Qian He, Emmanuel O. Agu:
Towards sedentary lifestyle prevention: An autoregressive model for predicting sedentary behaviors. ISMICT 2016: 1-5 - [c41]Christina Aiello, Emmanuel Agu:
Investigating postural sway features, normalization and personalization in detecting blood alcohol levels of smartphone users. Wireless Health 2016: 73-80 - 2015
- [j9]Kaveh Pahlavan, Yishuang Geng, David R. Cave, Guanqun Bao, Liang Mi, Emmanuel Agu, Andrew Karellas, Kamran Sayrafian, Vahid Tarokh:
A Novel Cyber Physical System for 3-D Imaging of the Small Intestine In Vivo. IEEE Access 3: 2730-2742 (2015) - [j8]Lei Wang, Peder C. Pedersen, Diane M. Strong, Bengisu Tulu, Emmanuel Agu, Ronald Ignotz:
Smartphone-Based Wound Assessment System for Patients With Diabetes. IEEE Trans. Biomed. Eng. 62(2): 477-488 (2015) - [c40]Bengisu Tulu, Emmanuel Agu, Stephenie C. Lemon, Jessica Oleski, Martinus Evans, Sherry Pagoto:
Smart Coach: A Problem-Solving Mobile App to Support Weight Loss Management. AMIA 2015 - [c39]Zachary Arnold, Danielle Larose, Emmanuel Agu:
A factorial experiment to investigate naturalistic factors affecting smartphone gait analysis. HealthCom 2015: 451-454 - [c38]Zachary Arnold, Danielle Larose, Emmanuel Agu:
Smartphone Inference of Alcohol Consumption Levels from Gait. ICHI 2015: 417-426 - [c37]Xiaochen Huang, Emmanuel Agu:
Location-Dependent Vocabularies and Speaker Style Personalization for Accurate Mobile Diet Recognition. ICHI 2015: 449 - [c36]Qiwen Chen, Emmanuel Agu:
Exploring Statistical GLCM Texture Features for Classifying Food Images. ICHI 2015: 453 - [c35]Xiaochen Huang, Emmanuel Agu:
A Speech-Based Mobile App for Restaurant Order Recognition and Low-Burden Diet Tracking. ICSH 2015: 333-339 - [c34]Che Sun, Emmanuel Agu:
Many-Lights Real Time Global Illumination Using Sparse Voxel Octree. ISVC (2) 2015: 150-159 - 2014
- [c33]Diane M. Strong, Bengisu Tulu, Emmanuel Agu, Steve (Qian) He:
Design of the Feedback Engine for a Diabetes Self-care Smartphone App. AMCIS 2014 - [c32]Clifford Lindsay, Emmanuel Agu:
Automatic Multi-light White Balance Using Illumination Gradients and Color Space Projection. ISVC (1) 2014: 579-588 - [c31]Clifford Lindsay, Emmanuel Agu:
3D Previsualization Using a Computational Photography Camera. ISVC (2) 2014: 904-914 - [c30]Qian He, Emmanuel Agu:
On11: an activity recommendation application to mitigate sedentary lifestyle. WPA@MobiSys 2014: 3-8 - [c29]Wei Wang, Zhilu Chen, Baoyuan Xing, Xiaochen Huang, S. Han, Emmanuel Agu:
A smartphone-based digital hearing aid to mitigate hearing loss at specific frequencies. MMA@SenSys 2014: 1-5 - [c28]Qian He, Emmanuel Agu, Diane M. Strong, Bengisu Tulu:
RecFit: a context-aware system for recommending physical activities. MMA@SenSys 2014: 34-39 - 2013
- [j7]Damon Blanchette, Emmanuel Agu:
Real-Time dispersive Refraction with Adaptive spectral Mapping. Int. J. Artif. Intell. Tools 22(6) (2013) - [j6]Karen Works, Elke A. Rundensteiner, Emmanuel Agu:
Optimizing adaptive multi-route query processing via time-partitioned indices. J. Comput. Syst. Sci. 79(3): 330-348 (2013) - [c27]Diane M. Strong, Emmanuel Agu, Peder C. Pedersen, Bengisu Tulu, Steve (Qian) He, Lei Wang, Yejin Li, Sherry Pagoto, Ronald Ignotz, Raymond Dunn, David Harlan:
Sugar: A Mobile Phone App for Diabetes and Diabetic Wound Management. AMIA 2013 - [c26]Qian He, Emmanuel Agu, Diane M. Strong, Bengisu Tulu, Peter Pedersen:
Characterizing the Performance and Behaviors of Runners Using Twitter. ICHI 2013: 406-414 - [c25]Lei Wang, Peder C. Pedersen, Diane M. Strong, Bengisu Tulu, Emmanuel Agu:
Wound image analysis system for diabetics. Image Processing 2013: 866924 - [c24]Emmanuel Agu, Peter Pedersen, Diane M. Strong, Bengisu Tulu, Qian He, Lei Wang, Yejin Li:
The smartphone as a medical device: Assessing enablers, benefits and challenges. SECON 2013: 76-80 - 2012
- [j5]Fan Wu, Emmanuel Agu, Clifford Lindsay, Chung-Han Chen:
Imperceptible Simplification on Mobile Displays. Int. J. Handheld Comput. Res. 3(1): 37-54 (2012) - [c23]Damon Blanchette, Emmanuel Agu:
Adaptive Spectral Mapping for Real-Time Dispersive Refraction. ISVC (1) 2012: 81-91 - [c22]Andrew Zafft, Emmanuel Agu:
Malicious WiFi networks: A first look. LCN Workshops 2012: 1038-1043 - 2010
- [j4]Fan Wu, Emmanuel Agu, Clifford Lindsay, Chung-Han Chen:
On Balancing Energy Consumption, Rendering Speed, and Image Quality on Mobile Devices. Int. J. Handheld Comput. Res. 1(3): 51-71 (2010) - [c21]Karen Works, Elke A. Rundensteiner, Emmanuel Agu:
Index tuning for adaptive multi-route data stream systems. IPDPS Workshops 2010: 1-8
2000 – 2009
- 2009
- [c20]Fan Wu, Emmanuel Agu, Clifford Lindsay, Chung-Han Chen:
Unequal Error Protection (UEP) for Wavelet-Based Wireless 3D Mesh Transmission. NCA 2009: 242-249 - 2008
- [j3]Radim Bartos, Steven G. Chappell, Rick Komerska, Matthew M. Haag, Sai S. Mupparapu, Emmanuel Agu, Ian Katz:
Development of routing protocols for the solar-powered autonomous underwater vehicle (SAUV) platform. Wirel. Commun. Mob. Comput. 8(8): 1075-1088 (2008) - [c19]Clifford Lindsay, Emmanuel Agu, Fan Wu:
Dynamic correction of color appearance on mobile displays. Graphics Interface 2008: 25-31 - [c18]Fan Wu, Emmanuel Agu, Clifford Lindsay:
Adaptive CPU Scheduling to Conserve Energy in Real-Time Mobile Graphics Applications. ISVC (1) 2008: 624-633 - 2007
- [c17]Fan Wu, Emmanuel Agu, Clifford Lindsay:
Pareto-Based Perceptual Metric for Imperceptible Simplification on Mobile Displays. Eurographics (Short Papers) 2007: 105-108 - 2006
- [j2]Fan Wu, Emmanuel Agu, Matthew Ward:
Multiresolution Graphics on Ubiquitous Displays Using Wavelets. Int. J. Virtual Real. 5(3): 9-15 (2006) - [j1]Emmanuel Agu, Kutty Banerjee, Shirish Nilekar, Oleg Rekutin, Diane Kramer:
A middleware architecture for mobile 3D graphics. Int. J. Parallel Emergent Distributed Syst. 21(3): 183-197 (2006) - [c16]Paul J. Timmins, Sean McCormick, Emmanuel Agu, Craig E. Wills:
Characteristics of Mobile Web Content. HotWeb 2006: 1-10 - [c15]Clifford Lindsay, Emmanuel Agu:
Physically-Based Real-Time Diffraction Using Spherical Harmonics. ISVC (1) 2006: 505-517 - [c14]Matthew M. Haag, Emmanuel Agu, Rick Komerska, Steven G. Chappell, Radim Bartos:
Status packet deprecation and store-forward routing in AUSNet. Underwater Networks 2006: 86-92 - [c13]Brian R. L'Heureux, Michael J. McHugh, Benjamin D. Privett, Robert E. Kinicki, Emmanuel Agu:
A Campus-Wide Mobile EMS Information Management System. PerCom Workshops 2006: 522-526 - [c12]Clifford Lindsay, Emmanuel Agu:
Real-time wavelength-dependent rendering pipeline. SIGGRAPH Research Posters 2006: 125 - [c11]Fan Wu, Emmanuel Agu:
Unequal error protection for wavelet-based wireless mesh transmission. SIGGRAPH Research Posters 2006: 175 - 2005
- [c10]Clifford Lindsay, Emmanuel Agu:
Spherical Harmonic Lighting of Wavelength-Dependent Phenomena. Eurographics (Short Presentations) 2005: 121-124 - [c9]Kutty Banerjee, Fan Wu, Emmanuel Agu:
Estimating Mobile Memory Requirements and Rendering Time for Remote Execution of the Graphics Pipeline. Eurographics (Short Presentations) 2005: 125-128 - [c8]Emmanuel Agu, Kutty Banerjee, Shirish Nilekar, Oleg Rekutin, Diane Kramer:
A Middleware Architecture for Mobile 3D Graphics. ICDCS Workshops 2005: 617-623 - [c7]Fernando C. Colón Osorio, Emmanuel Agu, Kerry McKay:
Measuring energy-security tradeoffs in wireless networks. IPCCC 2005: 293-302 - 2004
- [c6]Choong-Soo Lee, Mingzhe Li, Emmanuel Agu, Mark Claypool, Robert E. Kinicki:
Low delay marking for TCP in wireless ad hoc networks. IPCCC 2004: 807-812 - [c5]Ali Taheri, Arvinder Singh, Emmanuel Agu:
Location Fingerprinting on Infrastructure 802.11 Wireless Local Area Networks Location Fingerprinting on Infrastructure 802.11 Wireless Local Area Networks. LCN 2004: 676-683 - [c4]Tom Beigbeder, Rory Coughlan, Corey Lusher, John Plunkett, Emmanuel Agu, Mark Claypool:
The effects of loss and latency on user performance in unreal tournament 2003®. NETGAMES 2004: 144-151 - 2003
- [c3]Emmanuel Agu, Francis S. Hill Jr.:
A Simple Method for Ray Tracing Diffraction. ICCSA (3) 2003: 336-345 - [c2]Nathan Sheldon, Eric Girard, Seth Borg, Mark Claypool, Emmanuel Agu:
The effect of latency on user performance in Warcraft III. NETGAMES 2003: 3-14
1990 – 1999
- 1997
- [c1]Daniel O. Awduche, Emmanuel Agu:
Mobile extensions to RSVP. ICCCN 1997: 132-137
Coauthor Index
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