Mobile extensions to RSVP. - Daniel O. Awduche; Emmanuel Agu (ICCCN, 1997)

A Simple Method for Ray Tracing Diffraction. - Emmanuel Agu; Francis S. Hill Jr. (ICCSA (3), 2003)

The effect of latency on user performance in Warcraft III. - Nathan Sheldon; Eric Girard; Seth Borg; Mark Claypool; Emmanuel Agu (NETGAMES, 2003)

Low delay marking for TCP in wireless ad hoc networks. - Choong-Soo Lee; Mingzhe Li 002; Emmanuel Agu; Mark Claypool; Robert E. Kinicki (IPCCC, 2004)

Location Fingerprinting on Infrastructure 802.11 Wireless Local Area Networks Location Fingerprinting on Infrastructure 802.11 Wireless Local Area Networks. - Ali Taheri; Arvinder Singh; Emmanuel Agu (LCN, 2004)

The effects of loss and latency on user performance in unreal tournament 2003®. - Tom Beigbeder; Rory Coughlan; Corey Lusher; John Plunkett; Emmanuel Agu; Mark Claypool (NETGAMES, 2004)

Estimating Mobile Memory Requirements and Rendering Time for Remote Execution of the Graphics Pipeline. - Kutty Banerjee; Fan Wu 013; Emmanuel Agu (Eurographics (Short Presentations), 2005)

Spherical Harmonic Lighting of Wavelength-Dependent Phenomena. - Clifford Lindsay; Emmanuel Agu (Eurographics (Short Presentations), 2005)

Measuring energy-security tradeoffs in wireless networks. - Fernando C. Colón Osorio; Emmanuel Agu; Kerry McKay (IPCCC, 2005)

Characteristics of Mobile Web Content. - Paul J. Timmins; Sean McCormick; Emmanuel Agu; Craig E. Wills (HotWeb, 2006)

Physically-Based Real-Time Diffraction Using Spherical Harmonics. - Clifford Lindsay; Emmanuel Agu (ISVC (1), 2006)

Status packet deprecation and store-forward routing in AUSNet. - Matthew M. Haag; Emmanuel Agu; Rick Komerska; Steven G. Chappell; Radim Bartos (Underwater Networks, 2006)

A Campus-Wide Mobile EMS Information Management System. - Brian R. L'Heureux; Michael J. McHugh; Benjamin D. Privett; Robert E. Kinicki; Emmanuel Agu (PerCom Workshops, 2006)

Real-time wavelength-dependent rendering pipeline. - Clifford Lindsay; Emmanuel Agu (SIGGRAPH Research Posters, 2006)

Unequal error protection for wavelet-based wireless mesh transmission. - Fan Wu 013; Emmanuel Agu (SIGGRAPH Research Posters, 2006)

Multiresolution Graphics on Ubiquitous Displays Using Wavelets. - Fan Wu 013; Emmanuel Agu; Matthew Ward (Int. J. Virtual Real., 2006)

A middleware architecture for mobile 3D graphics. - Emmanuel Agu; Kutty Banerjee; Shirish Nilekar; Oleg Rekutin; Diane Kramer (Int. J. Parallel Emergent Distributed Syst., 2006)

Pareto-Based Perceptual Metric for Imperceptible Simplification on Mobile Displays. - Fan Wu 013; Emmanuel Agu; Clifford Lindsay (Eurographics (Short Papers), 2007)

Dynamic correction of color appearance on mobile displays. - Clifford Lindsay; Emmanuel Agu; Fan Wu 013 (Graphics Interface, 2008)

Adaptive CPU Scheduling to Conserve Energy in Real-Time Mobile Graphics Applications. - Fan Wu 013; Emmanuel Agu; Clifford Lindsay (ISVC (1), 2008)

Development of routing protocols for the solar-powered autonomous underwater vehicle (SAUV) platform. - Radim Bartos; Steven G. Chappell; Rick Komerska; Matthew M. Haag; Sai S. Mupparapu; Emmanuel Agu; Ian Katz (Wirel. Commun. Mob. Comput., 2008)

Unequal Error Protection (UEP) for Wavelet-Based Wireless 3D Mesh Transmission. - Fan Wu 013; Emmanuel Agu; Clifford Lindsay; Chung-Han Chen (NCA, 2009)

Index tuning for adaptive multi-route data stream systems. - Karen E. Works; Elke A. Rundensteiner; Emmanuel Agu (IPDPS Workshops, 2010)

On Balancing Energy Consumption, Rendering Speed, and Image Quality on Mobile Devices. - Fan Wu 013; Emmanuel Agu; Clifford Lindsay; Chung-Han Chen (Int. J. Handheld Comput. Res., 2010)

Adaptive Spectral Mapping for Real-Time Dispersive Refraction. - Damon Blanchette; Emmanuel Agu (ISVC (1), 2012)

Malicious WiFi networks: A first look. - Andrew Zafft; Emmanuel Agu (LCN Workshops, 2012)

Imperceptible Simplification on Mobile Displays. - Fan Wu 013; Emmanuel Agu; Clifford Lindsay; Chung-Han Chen (Int. J. Handheld Comput. Res., 2012)

Sugar: A Mobile Phone App for Diabetes and Diabetic Wound Management. - 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 (AMIA, 2013)

Characterizing the Performance and Behaviors of Runners Using Twitter. - Qian He; Emmanuel Agu; Diane M. Strong; Bengisu Tulu; Peter Pedersen (ICHI, 2013)

Wound image analysis system for diabetics. - Lei Wang; Peder C. Pedersen; Diane M. Strong; Bengisu Tulu; Emmanuel Agu (Image Processing, 2013)

The smartphone as a medical device: Assessing enablers, benefits and challenges. - Emmanuel Agu; Peter Pedersen; Diane M. Strong; Bengisu Tulu; Qian He; Lei Wang; Yejin Li (SECON, 2013)

Real-Time dispersive Refraction with Adaptive spectral Mapping. - Damon Blanchette; Emmanuel Agu (Int. J. Artif. Intell. Tools, 2013)

Optimizing adaptive multi-route query processing via time-partitioned indices. - Karen E. Works; Elke A. Rundensteiner; Emmanuel Agu (J. Comput. Syst. Sci., 2013)

Design of the Feedback Engine for a Diabetes Self-care Smartphone App. - Diane M. Strong; Bengisu Tulu; Emmanuel Agu; Steve (Qian) He (AMCIS, 2014)

Automatic Multi-light White Balance Using Illumination Gradients and Color Space Projection. - Clifford Lindsay; Emmanuel Agu (ISVC (1), 2014)

3D Previsualization Using a Computational Photography Camera. - Clifford Lindsay; Emmanuel Agu (ISVC (2), 2014)

On11: an activity recommendation application to mitigate sedentary lifestyle. - Qian He; Emmanuel Agu (WPA@MobiSys, 2014)

RecFit: a context-aware system for recommending physical activities. - Qian He; Emmanuel Agu; Diane M. Strong; Bengisu Tulu (MMA@SenSys, 2014)

A smartphone-based digital hearing aid to mitigate hearing loss at specific frequencies. - Wei Wang 053; Zhilu Chen; Baoyuan Xing; Xiaochen Huang; S. Han; Emmanuel Agu (MMA@SenSys, 2014)

Smart Coach: A Problem-Solving Mobile App to Support Weight Loss Management. - Bengisu Tulu; Emmanuel Agu; Stephenie C. Lemon; Jessica Oleski; Martinus Evans; Sherry Pagoto (AMIA, 2015)

A factorial experiment to investigate naturalistic factors affecting smartphone gait analysis. - Zachary Arnold; Danielle Larose; Emmanuel Agu (HealthCom, 2015)

Smartphone Inference of Alcohol Consumption Levels from Gait. - Zachary Arnold; Danielle Larose; Emmanuel Agu (ICHI, 2015)

Exploring Statistical GLCM Texture Features for Classifying Food Images. - Qiwen Chen; Emmanuel Agu (ICHI, 2015)

Location-Dependent Vocabularies and Speaker Style Personalization for Accurate Mobile Diet Recognition. - Xiaochen Huang; Emmanuel Agu (ICHI, 2015)

A Speech-Based Mobile App for Restaurant Order Recognition and Low-Burden Diet Tracking. - Xiaochen Huang; Emmanuel Agu (ICSH, 2015)

Many-Lights Real Time Global Illumination Using Sparse Voxel Octree. - Che Sun; Emmanuel Agu (ISVC (2), 2015)

A Novel Cyber Physical System for 3-D Imaging of the Small Intestine In Vivo. - Kaveh Pahlavan; Yishuang Geng; David R. Cave; Guanqun Bao; Liang Mi; Emmanuel Agu; Andrew Karellas; Kamran Sayrafian; Vahid Tarokh (IEEE Access, 2015)

Smartphone-Based Wound Assessment System for Patients With Diabetes. - Lei Wang; Peder C. Pedersen; Diane M. Strong; Bengisu Tulu; Emmanuel Agu; Ronald Ignotz (IEEE Trans. Biomed. Eng., 2015)

A frequency domain algorithm to identify recurrent sedentary behaviors from activity time-series data. - Qian He; Emmanuel O. Agu (BHI, 2016)

Design Implications of User Experience Studies: The Case of a Diabetes Wellness App. - Bengisu Tulu; Diane M. Strong; Lei Wang; Qian He; Emmanuel Agu; Peder C. Pedersen; Soussan Djamasbi (HICSS, 2016)

Towards sedentary lifestyle prevention: An autoregressive model for predicting sedentary behaviors. - Qian He; Emmanuel O. Agu (ISMICT, 2016)

Investigating postural sway features, normalization and personalization in detecting blood alcohol levels of smartphone users. - Christina Aiello; Emmanuel Agu (Wireless Health, 2016)

A Rhythm Analysis-Based Model to Predict Sedentary Behaviors. - Qian He; Emmanuel O. Agu (CHASE, 2017)

Using Social Sensing to Discover Trends in Public Emotion. - Maryam Hasan; Elke A. Rundensteiner; Xiangnan Kong; Emmanuel Agu (ICSC, 2017)

Broadening Secure Mobile Software Development (SMSD) Through Curriculum Development (Abstract Only). - Kai Qian; Hossain Shahriar; Fan Wu 013; Cassandra Thomas; Emmanuel Agu (SIGCSE, 2017)

AlcoWear: Detecting blood alcohol levels from wearables. - Andrew McAfee 002; Jacob Watson; Ben Bianchi; Christina Aiello; Emmanuel Agu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Discover trends in public emotion using social sensing. - Maryam Hasan; Elke A. Rundensteiner; Xiangnan Kong; Emmanuel Agu (SIGWEB Newsl., 2017)

Area Determination of Diabetic Foot Ulcer Images Using a Cascaded Two-Stage SVM-Based Classification. - Lei Wang; Peder C. Pedersen; Emmanuel Agu; Diane M. Strong; Bengisu Tulu (IEEE Trans. Biomed. Eng., 2017)

Authentic Learning Secure Software Development (SSD) in Computing Education. - Kai Qian; Dan Chia-Tien Lo; Reza M. Parizi; Fan Wu 013; Emmanuel Agu; Bei-Tseng Chu (FIE, 2018)

Fact or Fiction. - Charles Lovering; Anqi Lu; Cuong Nguyen; Huyen Nguyen; David Hurley; Emmanuel Agu (Proc. ACM Hum. Comput. Interact., 2018)

COMEX: Identifying Mislabeled Human Behavioral Context Data Using Visual Analytics. - Hamid Mansoor; Walter Gerych; Luke Buquicchio; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner (COMPSAC (2), 2019)

DroidPatrol: A Static Analysis Plugin For Secure Mobile Software Development. - Md Arabin Islam Talukder; Hossain Shahriar; Kai Qian; Mohammad Ashiqur Rahman; Sheikh Iqbal Ahamed; Fan Wu 013; Emmanuel Agu (COMPSAC (1), 2019)

DrunkSelfie: Intoxication Detection from Smartphone Facial Images. - Colin Willoughby; Ian Banatoski; Paul Roberts; Emmanuel Agu (COMPSAC (2), 2019)

On Smartphone Sensability of Bi-Phasic User Intoxication Levels from Diverse Walk Types in Standardized Field Sobriety Tests. - Ruojun Li; Ganesh Prasanna Balakrishnan; Jiaming Nie; Yu Li; Emmanuel Agu; Michael Stein; Ana Abrantes; Debra Herman; Kristin Grimone (EMBC, 2019)

Classifying Depression in Imbalanced Datasets Using an Autoencoder- Based Anomaly Detection Approach. - Walter Gerych; Emmanuel Agu; Elke A. Rundensteiner (ICSC, 2019)

Fine-Grained Diabetic Wound Depth and Granulation Tissue Amount Assessment Using Bilinear Convolutional Neural Network. - Xixuan Zhao; Ziyang Liu; Emmanuel Agu; Ameya Wagh; Shubham Jain; Clifford Lindsay; Bengisu Tulu; Diane M. Strong; Jiangming Kan (IEEE Access, 2019)

Automatic emotion detection in text streams by analyzing Twitter data. - Maryam Hasan; Elke A. Rundensteiner; Emmanuel Agu (Int. J. Data Sci. Anal., 2019)

Do Novice and Expert Users of Clinical Decision Support Tools Need Different Explanations? - Haadi Mombini; Bengisu Tulu; Diane M. Strong; Emmanuel O. Agu; Clifford Lindsay; Lorraine Loretz; Peder C. Pedersen; Raymond Dunn (AMCIS, 2020)

Prediction of Chronic Wound Care Decisions Using Machine Learning. - Haadi Mombini; Emmanuel Agu; Diane M. Strong; Holly Nguyen; Clifford Lindsay; Lorraine Loretz; Peder C. Pedersen; Raymond Dunn; Bengisu Tulu (AMIA, 2020)

Investigating Transfer Learning of Smartphone-Sensed Stress in University Populations. - Nichole Etienne; Emmanuel Agu (IEEE BigData, 2020)

BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias. - Walter Gerych; Luke Buquicchio; Kavin Chandrasekaran; Abdulaziz Alajaji; Hamid Mansoor; Aidan Murphy; Elke A. Rundensteiner; Emmanuel Agu (IEEE BigData, 2020)

INTOSIS: Interactive Observation of Smartphone Inferred Symptoms for In-The-Wild Data. - Hamid Mansoor; Walter Gerych; Luke Buquicchio; Abdulaziz Alajaji; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner (IEEE BigData, 2020)

DeepSEAS: Smartphone-based Early Ailment Sensing Using Coupled LSTM AutoEncoders. - Shreesha Narasimha Murthy; Florina Asani; Srinarayan Srikanthan; Emmanuel Agu (IEEE BigData, 2020)

Design of a Machine Learning System for Prediction of Chronic Wound Management Decisions. - Haadi Mombini; Bengisu Tulu; Diane M. Strong; Emmanuel Agu; Holly Nguyen; Clifford Lindsay; Lorraine Loretz; Peder C. Pedersen; Raymond Dunn (DESRIST, 2020)

The Exergame Enjoyment Questionnaire (EEQ): An Instrument for Measuring Exergame Enjoyment. - Alexander Fitzgerald; Sam Huang; Kyle Sposato; Dongjie Wang; Mark Claypool; Emmanuel Agu (HICSS, 2020)

CRUFT: Context Recognition under Uncertainty using Fusion and Temporal Learning. - Wen Ge; Emmanuel Agu (ICMLA, 2020)

DeepContext: Parameterized Compatibility-Based Attention CNN for Human Context Recognition. - Abdulaziz Alajaji; Walter Gerych; Kavin Chandrasekaran; Luke Buquicchio; Emmanuel Agu; Elke A. Rundensteiner (ICSC, 2020)

ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms. - Hamid Mansoor; Walter Gerych; Luke Buquicchio; Abdulaziz Alajaji; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner (EuroVis (Short Papers), 2020)

Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches. - Ameya Wagh; Shubham Jain; Apratim Mukherjee; Emmanuel Agu; Peder C. Pedersen; Diane M. Strong; Bengisu Tulu; Clifford Lindsay; Ziyang Liu (IEEE Access, 2020)

An Explainable Machine Learning Model for Chronic Wound Management Decisions. - Haadi Mombini; Bengisu Tulu; Diane M. Strong; Emmanuel O. Agu; Clifford Lindsay; Lorraine Loretz; Peder C. Pedersen; Raymond Dunn (AMCIS, 2021)

Variational Open Set Recognition (VOSR). - Luke Buquicchio; Walter Gerych; Abdulaziz Alajaji; Kavin Chandrasekaran; Hamid Mansoor; Thomas Hartvigsen; Elke A. Rundensteiner; Emmanuel Agu (IEEE BigData, 2021)

Passive Smartphone Contact Tracing and Continuous COVID-19 Infection Risk Assessment. - Caitlin Enright; Theodoros Konstantopoulos; Orlando Pinel Aviles; Jean-Philippe Pierre; Emmanuel Agu (IEEE BigData, 2021)

GAN for Generating User-Specific Human Activity Data From An Incomplete Training Corpus. - Walter Gerych; Harrison Kim; Joshua DeOliveira; MaryClare Martin; Luke Buquicchio; Kavin Chandrasekaran; Abdulaziz Alajaji; Hamid Mansoor; Elke A. Rundensteiner; Emmanuel Agu (IEEE BigData, 2021)

DeepEmotex: Classifying Emotion in Text Messages using Deep Transfer Learning. - Maryam Hasan; Elke A. Rundensteiner; Emmanuel Agu (IEEE BigData, 2021)

TBI2Vec: Traumatic Brain Injury Smartphone Sensing using AutoEncoder Embeddings. - Sayali Shelke; Emmanuel Agu (IEEE BigData, 2021)

Machine Learning Prediction of TBI from Mobility, Gait and Balance Patterns. - Bhoomi Kalpesh Patel; Srinarayan Srikanthan; Florina Asani; Emmanuel Agu (CHASE, 2021)

Machine Learning Estimation of COVID-19 Social Distance using Smartphone Sensor Data. - Oleksandr Semenov; Emmanuel Agu; Kaveh Pahlavan (EMBC, 2021)

Exploratory Data Analysis of Population Level Smartphone-Sensed Data. - Hamid Mansoor; Walter Gerych; Abdulaziz Alajaji; Luke Buquicchio; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner (VISIGRAPP (Revised Selected Papers), 2021)

Deep Learning Anomaly Detection methods to passively detect COVID-19 from Audio. - Shreesha Narasimha Murthy; Emmanuel Agu (ICDH, 2021)

Passive COVID-19 Assessment using Machine Learning on Physiological and Activity Data from Low End Wearables. - Atifa Sarwar; Emmanuel Agu (ICDH, 2021)

Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection. - Srinarayan Srikanthan; Florina Asani; Bhoomi Kalpesh Patel; Emmanuel Agu (ICDH, 2021)

Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces. - Luke Buquicchio; Walter Gerych; Abdulaziz Alajaji; Kavin Chandrasekaran; Hamid Mansoor; Elke A. Rundensteiner; Emmanuel Agu (ICMLA, 2021)

Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection. - Apiwat Ditthapron; Emmanuel O. Agu; Adam C. Lammert (ICMLA, 2021)

Local Geometry Preserving Deep Networks For Featurizing High Dimensional Datasets. - Walter Gerych; Jessica L. Bader; Declan Nelson; Thalia Chao-Zhang; Luke Buquicchio; Abdulaziz Alajaji; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner (ICMLA, 2021)

PLEADES: Population Level Observation of Smartphone Sensed Symptoms for In-the-wild Data using Clustering. - Hamid Mansoor; Walter Gerych; Abdulaziz Alajaji; Luke Buquicchio; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner (VISIGRAPP (3: IVAPP), 2021)

HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion. - Songlin Hou; Clifford Lindsay; Emmanuel Agu; Peder C. Pedersen; Bengisu Tulu; Diane M. Strong (MIUA, 2021)

Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification. - Walter Gerych; Thomas Hartvigsen; Luke Buquicchio; Emmanuel Agu; Elke A. Rundensteiner (NeurIPS, 2021)

CARTMAN: Complex Activity Recognition Using Topic Models for Feature Generation from Wearable Sensor Data. - Kavin Chandrasekaran; Walter Gerych; Luke Buquicchio; Abdulaziz Alajaji; Emmanuel Agu; Elke A. Rundensteiner (SMARTCOMP, 2021)

Estimation of Blood Alcohol Concentration From Smartphone Gait Data Using Neural Networks. - Ruojun Li; Ganesh Prasanna Balakrishnan; Jiaming Nie; Yu Li; Emmanuel Agu; Kristin Grimone; Debra Herman; Ana Abrantes; Michael Stein (IEEE Access, 2021)

Performance Evaluation of COVID-19 Proximity Detection Using Bluetooth LE Signal. - Zhuoran Su; Kaveh Pahlavan; Emmanuel Agu (IEEE Access, 2021)

Visual Analytics of Smartphone-Sensed Human Behavior and Health. - Hamid Mansoor; Walter Gerych; Abdulaziz Alajaji; Luke Buquicchio; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner (IEEE Computer Graphics and Applications, 2021)

Smartphone Health Biomarkers: Positive Unlabeled Learning of In-the-Wild Contexts. - Abdulaziz Alajaji; Walter Gerych; Luke Buquicchio; Kavin Chandrasekaran; Hamid Mansoor; Emmanuel Agu; Elke A. Rundensteiner (IEEE Pervasive Comput., 2021)

ARGUS: Interactive visual analysis of disruptions in smartphone-detected Bio-Behavioral Rhythms. - Hamid Mansoor; Walter Gerych; Abdulaziz Alajaji; Luke Buquicchio; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner (Vis. Informatics, 2021)

Recovering the Propensity Score from Biased Positive Unlabeled Data. - Walter Gerych; Thomas Hartvigsen; Luke Buquicchio; Emmanuel Agu; Elke A. Rundensteiner (AAAI, 2022)

DeePaGait: Motor Assessment of Parkinson's Disease Using a Multi-Layer 1D Convolutional Neural Network on Smartphone Gait Data. - Hamza Abujrida; Emmanuel Agu; Kaveh Pahlavan (IEEE Big Data, 2022)

Deep Video Action Recognition Models for Assessing Cardiac Function from Echocardiograms. - Abdulsalam Almadani; Abhishek Shivdeo; Emmanuel Agu; Jacques Kpodonu (IEEE Big Data, 2022)

HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition. - Joshua DeOliveira; Walter Gerych; Aruzhan Koshkarova; Elke A. Rundensteiner; Emmanuel Agu (IEEE Big Data, 2022)

Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels. - Walter Gerych; Thomas Hartvigsen; Luke Buquicchio; Emmanuel Agu; Elke A. Rundensteiner (CIKM, 2022)

Triplet-based Domain Adaptation (Triple-DARE) for Lab-to-field Human Context Recognition. - Abdulaziz Alajaji; Walter Gerych; Kavin Chandrasekaran; Luke Buquicchio; Hamid Mansoor; Emmanuel Agu; Elke A. Rundensteiner (PerCom Workshops, 2022)

Positive Unlabeled Learning with a Sequential Selection Bias. - Walter Gerych; Thomas Hartvigsen; Luke Buquicchio; Abdulaziz Alajaji; Kavin Chandrasekaran; Hamid Mansoor; Elke A. Rundensteiner; Emmanuel Agu (SDM, 2022)

QCRUFT: Quaternion Context Recognition under Uncertainty using Fusion and Temporal Learning. - Wen Ge; Emmanuel O. Agu (ICSC, 2022)

Proximity Detection During Epidemics: Direct UWB TOA Versus Machine Learning Based RSSI. - Zhuoran Su; Kaveh Pahlavan; Emmanuel Agu; Haowen Wei (Int. J. Wirel. Inf. Networks, 2022)

Context-Aware Probabilistic Models for Predicting Future Sedentary Behaviors of Smartphone Users. - Qian He; Emmanuel O. Agu (J. Heal. Informatics Res., 2022)

Continuous TBI Monitoring From Spontaneous Speech Using Parametrized Sinc Filters and a Cascading GRU. - Apiwat Ditthapron; Adam C. Lammert; Emmanuel O. Agu (IEEE J. Biomed. Health Informatics, 2022)

OA-Pain-Sense: Machine Learning Prediction of Hip and Knee Osteoarthritis Pain from IMU Data. - Wafaa Salem Almuhammadi; Emmanuel Agu; Jean King; Patricia Franklin (Informatics, 2022)

Breast Cancer Tumor Classification Using a Bag of Deep Multi-Resolution Convolutional Features. - David Clement; Emmanuel Agu; John Obayemi; Steve A. Adeshina; Wole Soboyejo (Informatics, 2022)

Stabilizing Adversarial Training for Generative Networks. - Walter Gerych; Kevin Hickey; Thomas Hartvigsen; Luke Buquicchio; Abdulaziz Alajaji; Kavin Chandrasekaran; Hamid Mansoor; Emmanuel Agu; Elke A. Rundensteiner (IEEE Big Data, 2023)

Machine Learning Prediction of Just Dance Exergame Enjoyment from Mobile Sensor Data. - Joshua Audibert; Elijah Gonzalez; Ryan Orlando; Nicholas Wong; Emmanuel Agu; Mark Claypool (CoG, 2023)

Adversarial Human Context Recognition: Evasion Attacks and Defenses. - Abdulaziz Alajaji; Walter Gerych; Kavin Chandrasekaran; Luke Buquicchio; Emmanuel Agu; Elke A. Rundensteiner (COMPSAC, 2023)

HCM-Dynamic-Echo: A Framework for Detecting Hypertrophic Cardiomyopathy (HCM) in Echocardiograms. - Abdulsalam Almadani; Emmanuel Agu; Atifa Sarwar; Monica Ahluwalia; Jacques Kpodonu (ICDH, 2023)

Population-Level Visual Analytics of Smartphone Sensed Health and Wellness Using Community Phenotypes. - Hamid Mansoor; Walter Gerych; Abdulaziz Alajaji; Luke Buquicchio; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner (ICHI, 2023)

On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment. - Apiwat Ditthapron; Emmanuel O. Agu; Peder C. Pedersen; Clifford Lindsay; Bengisu Tulu; Diane M. Strong (ICMLA, 2023)

Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health. - Apiwat Ditthapron; Emmanuel O. Agu; Adam C. Lammert (INTERSPEECH, 2023)

Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes. - Walter Gerych; Kevin Hickey; Luke Buquicchio; Kavin Chandrasekaran; Abdulaziz Alajaji; Elke A. Rundensteiner; Emmanuel Agu (NeurIPS, 2023)

Heterogeneous Hyper-Graph Neural Networks for Context-Aware Human Activity Recognition. - Wen Ge; Guanyi Mou; Emmanuel O. Agu; Kyumin Lee (PerCom Workshops, 2023)

ADL-GAN: Data Augmentation to Improve In-the-Wild ADL Recognition Using GANs. - Apiwat Ditthapron; Adam C. Lammert; Emmanuel O. Agu (IEEE Access, 2023)

CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 using Biobehavioral Rhythms Derived from Wearable Physiological Data. - Atifa Sarwar; Emmanuel O. Agu (CoRR, 2023)

Masking Kernel for Learning Energy-Efficient Speech Representation. - Apiwat Ditthapron; Emmanuel O. Agu; Adam C. Lammert (CoRR, 2023)

Domain Adaptation Methods for Lab-to-Field Human Context Recognition. - Abdulaziz Alajaji; Walter Gerych; Luke Buquicchio; Kavin Chandrasekaran; Hamid Mansoor; Emmanuel Agu; Elke A. Rundensteiner (Sensors, 2023)

Search and Evaluation of Coevolving Problem and Solution Spaces in a Complex Healthcare Design Science Research Project. - Diane M. Strong; Bengisu Tulu; Emmanuel Agu; Peder C. Pedersen (IEEE Trans. Engineering Management, 2023)

INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping. - Hamid Mansoor; Walter Gerych; Abdulaziz Alajaji; Luke Buquicchio; Kavin Chandrasekaran; Emmanuel Agu; Elke A. Rundensteiner; Angela Incollingo Rodriguez (Vis. Informatics, 2023)

Deep Heterogeneous Contrastive Hyper-Graph Learning for In-the-Wild Context-Aware Human Activity Recognition. - Wen Ge; Guanyi Mou; Emmanuel O. Agu; Kyumin Lee (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Biomarker Trajectory Prediction and Causal Analysis of the Impact of the Covid-19 Pandemic on CVD Patients using Machine Learning. - Trusting Inekwe; Winnie Mkandawire; Brian Wee; Emmanuel Agu; Andrés Colubri (CHASE, 2024)

Contrastive Learning with Auxiliary User Detection for Identifying Activities. - Wen Ge; Guanyi Mou; Emmanuel O. Agu; Kyumin Lee (ICMLA, 2024)

Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers. - Palawat Busaranuvong; Emmanuel Agu; Deepak Kumar; Shefalika Gautam; Reza Saadati Fard; Bengisu Tulu; Diane M. Strong (CoRR, 2024)

Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition. - Wen Ge; Guanyi Mou; Emmanuel O. Agu; Kyumin Lee (PerCom, 2025)

Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral. - Reza Saadati Fard; Emmanuel Agu; Palawat Busaranuvong; Deepak Kumar; Shefalika Gautam; Bengisu Tulu; Diane M. Strong (CoRR, 2025)

Explainable, Multi-modal Wound Infection Classification from Images Augmented with Generated Captions. - Palawat Busaranuvong; Emmanuel Agu; Reza Saadati Fard; Deepak Kumar; Shefalika Gautam; Bengisu Tulu; Diane M. Strong (CoRR, 2025)

Early Time Series Classification Using Reinforcement Learning for Pre-Symptomatic Covid-19 Screening From Imbalanced Health Tracker Data. - Atifa Sarwar; Abdulsalam Almadani; Emmanuel O. Agu (IEEE J. Biomed. Health Informatics, 2025)

Privacy-preserving feature extractor using adversarial pruning for TBI assessment from speech. - Apiwat Ditthapron; Emmanuel O. Agu; Adam C. Lammert (Comput. Speech Lang., 2026)