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)

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

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)

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)

Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics. - Caitlin Kuhlman; Walter Gerych; Elke A. Rundensteiner (AIES, 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)

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)

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)

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)

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)

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)

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)

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)

Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence Generative Adversarial Networks. - M. L. Tlachac; Walter Gerych; Kratika Agrawal; Benjamin Litterer; Nicholas Jurovich; Saitheeraj Thatigotla; Jidapa Thadajarassiri; Elke A. Rundensteiner (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)

Stop&Hop: Early Classification of Irregular Time Series. - Thomas Hartvigsen; Walter Gerych; Jidapa Thadajarassiri; Xiangnan Kong; 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)

Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. - Jidapa Thadajarassiri; Thomas Hartvigsen; Walter Gerych; Xiangnan Kong; Elke A. Rundensteiner (AAAI, 2023)

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)

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

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)

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)

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)

Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search. - Walter Gerych; Yara Rizk; Vatche Isahagian; Vinod Muthusamy; Evelyn Duesterwald; Praveen Venkateswaran (AAAI, 2024)

Amalgamating Multi-Task Models with Heterogeneous Architectures. - Jidapa Thadajarassiri; Walter Gerych; Xiangnan Kong; Elke A. Rundensteiner (AAAI, 2024)

TAXI: Evaluating Categorical Knowledge Editing for Language Models. - Derek Powell; Walter Gerych; Thomas Hartvigsen (ACL (Findings), 2024)

Identifying Implicit Social Biases in Vision-Language Models. - Kimia Hamidieh; Haoran Zhang 003; Walter Gerych; Thomas Hartvigsen; Marzyeh Ghassemi (AIES (1), 2024)

GAN Stabilization Under Practical Training Assumptions. - Joshua DeOliveira; Walter Gerych; Elke A. Rundensteiner (IEEE Big Data, 2024)

BendVLM: Test-Time Debiasing of Vision-Language Embeddings. - Walter Gerych; Haoran Zhang 003; Kimia Hamidieh; Eileen Pan; Maanas K. Sharma; Tom Hartvigsen; Marzyeh Ghassemi (NeurIPS, 2024)

Learning from Time Series under Temporal Label Noise. - Sujay Nagaraj; Walter Gerych; Sana Tonekaboni; Anna Goldenberg; Berk Ustun; Thomas Hartvigsen (CoRR, 2024)

MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations. - Qixuan Jin; Walter Gerych; Marzyeh Ghassemi (CoRR, 2024)

Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. - Kyle Cox; Jiawei Xu 006; Yikun Han; Rong Xu; Tianhao Li; Chi-Yang Hsu; Tianlong Chen 001; Walter Gerych; Ying Ding 001 (AAAI, 2025)

The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training. - Joshua DeOliveira; Walter Gerych; Elke A. Rundensteiner (AAAI, 2025)

The Medium is the Message: How Non-Clinical Information Shapes Clinical Decisions in LLMs. - Abinitha Gourabathina; Walter Gerych; Eileen Pan; Marzyeh Ghassemi (FAccT, 2025)

Learning under Temporal Label Noise. - Sujay Nagaraj; Walter Gerych; Sana Tonekaboni; Anna Goldenberg; Berk Ustun; Thomas Hartvigsen (ICLR, 2025)

Learning to Adapt Deep Corrosion Assessment Models From Indoor to Outdoor Image Domains. - Nicholas Josselyn; Biao Yin; Thomas A. Considine; John V. Kelley; Berend Christopher Rinderspacher; Robert E. Jensen; James F. Snyder; Walter Gerych; Ziming Zhang; Elke A. Rundensteiner (IEEE Access, 2025)

When Style Breaks Safety: Defending Language Models Against Superficial Style Alignment. - Yuxin Xiao; Sana Tonekaboni; Walter Gerych; Vinith M. Suriyakumar; Marzyeh Ghassemi (CoRR, 2025)

The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision Making. - Abinitha Gourabathina; Yuexing Hao; Walter Gerych; Marzyeh Ghassemi (CoRR, 2025)