Publications

I have first-author publications in NeurIPS, AAAI, SDM, CIKM, AIES, Big Data, ICMLA, and ICSC.


Walter Gerych, Yara Rizk, Vatche Isahagian, Vinod Muthusamy, Evelyn Duesterwald, Praveen Venkateswaran.
(To Appear in) AAAI, 2024.


“Amalgamating Multi-Task Models with Heterogeneous Architectures.”

Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke Rundensteiner.
(To Appear in) AAAI, 2024.


“Debiasing Pretrained Generative Models By Uniformly Sampling Semantic Attributes.”

Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Emmanuel Agu, Elke Rundensteiner.
NeurIPS, 2023.


“Stabilizing Adversarial Training for Generative Networks.”

Walter Gerych, Kevin Hickey (Joint First Author), Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke Rundensteiner.
IEEE Big Data MLDB, 2023.


“Population-Level Visual Analytics of Smartphone Sensed Health Using Community Phenotypes.”

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner.
IEEE ICHI, 2023.


“Adversarial Human Context Recognition: Evasion Attacks and Defenses.”

Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.
IEEE COMPSAC, 2023.


“Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer.”

Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke Rundensteiner.
AAAI, 2023. Oral spotlight.


“Domain Adaptation Methods for Lab-to-Field Human Context Recognition.”

Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke Rundensteiner.
Sensors 23(6), 2023.


“INPHOVIS: Interactive Visual Analytics For Smartphone-Based Digital Phenotyping.”

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner, Angela Incollingo Rodriguez.
Visual Informatics, 2023.


“HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human Activity Recognition.”

Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke Rundensteiner, Emmanuel Agu.
IEEE Big Data 4th Special Session on HealthCare Data, 2022.


“Text Generation to Aid Depression Detection: A Comparative Study of Conditional Sequence GANs.”

ML Tlachac, Walter Gerych, Kratika Agrawal, Benjamin Litterer, Nicholas Jurovich, Saitheeraj Thatigotla, Jidapa Thadajarassiri, Elke Rundensteiner.
IEEE Big Data 4th Special Session on HealthCare Data, 2022.


“Recovering The Propensity Score From Biased Positive Unlabeled Data.”

Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.

AAAI, 2022. Oral spotlight.


“Robust Recurrent Classifier Chains for Multi-Label Learning with Missing Labels.”

Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.

CIKM, 2022.


“Stop&Hop: Early Classification of Irregular Time Series.”

Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke Rundensteiner.

CIKM, 2022.


“Positive Unlabeled Learning with a Sequential Selection Bias.”

Walter Gerych, Thomas Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.

SDM, 2022.


“On Detecting COVID-Risky Behavior from Smartphones.”

Thomas Hartvigsen*, Walter Gerych* (Joint First Author), Marzyeh Ghassemi.

Workshop on Epidemiology meets Data Mining and Knowledge Discovery, KDD, 2022.


“Triplet-based Domain Adaptation (Triple-DARE) for Lab-to-field Human Context Recognition.”

Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke Rundensteiner.

IEEE PerCom Industry Track, 2022.


“Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification.”

Walter Gerych, Tom Hartvigsen, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.

NeurIPS, 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, Emmanuel Agu, Elke Rundensteiner.

IEEE Big Data 4th Special Session on HealthCare Data, 2021.


“Variational Open Set Recognition.”

Luke Buquicchio, Walter Gerych, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Thomas Hartvigsen, Elke Rundensteiner, Emmanuel Agu.

IEEE Big Data, 2021.


“Local Geometry Preserving Deep Networks For Featurizing High-Dimensional Datasets.”

Walter Gerych, Jessica Bader, Declan Nelson, Thalia Chai-Zhang, Luke Buquicchio, Abdulaziz Alajaji, Kevin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner.

IEEE ICMLA, 2021.


“Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces.”

Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, and Elke Rundensteiner.

IEEE ICMLA, 2021.


“Visual Analytics of SmartphoneSensed Human Behavior and Health.”

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke 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, Emmanuel Agu, Elke Rundensteiner.

IEEE Pervasive Computing, 2021.


“Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics.”

Caitlin Kuhlman*, Walter Gerych* (Joint First Author), Elke Rundensteiner.

AAAI/ACM Conference on AI, Ethics, and Society, 2021.


“PLEADES: Population Level Observation of Smartphone Sensed Symptoms for In-the-wild Data.”

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner.

VISIGRAPP, 2021.


“Complex Activity Recognition Using Topic Models for Feature Generation from Wearable Sensor Data.”

Kavin Chandrasekaran, Walter Gerych, Luke Buquicchio, Abdulaziz Alajaji, Emmanuel Agu, Elke Rundensteiner.

SMARTCOMP, 2021.


“BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias.”

Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Emmanuel Agu, Elke Rundensteiner.

IEEE Big Data, 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 Rundensteiner.

IEEE Big Data, 2020.


“DeepContext: Parameterized Compatibility-Based Attention CNN for Human Context Recognition.”

Abdulaziz Alajaji, Walter Gerych, Kavin Chandrasekaran, Luke Buquicchio, Emmanuel Agu, Elke Rundensteiner.

IEEE ICSC, 2020.


“ARGUS: Interactive Visual Analytics Framework for the Discovery of Disruptions in Bio-Behavioral Rhythms.”

Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner.

EuroVIs (Short Papers), 2020.


“COMEX: Identifying Mislabeled Human Behavioral Context Data Using Visual Analytics.”

Hamid Mansoor, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner.

IEEE COMPSAC, 2019.


“Classifying Depression in Imbalanced Datasets Using an Autoencoder- Based Anomaly Detection Approach”

Walter Gerych, Emmanuel Agu, Elke Rundensteiner.

IEEE ICSC, 2019.