Rundensteiner, Elke A.

11 publications

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

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

NeurIPS 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

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

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

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

AAAI 2021 Semi-Supervised Knowledge Amalgamation for Sequence Classification Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner

ECML-PKDD 2017 CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining Cansu Sen, Thomas Hartvigsen, Elke A. Rundensteiner, Kajal T. Claypool

ECML-PKDD 2017 Pivot-Based Distributed K-Nearest Neighbor Mining Caitlin Kuhlman, Yizhou Yan, Lei Cao, Elke A. Rundensteiner

ECML-PKDD 2016 PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations Ermal Toto, Elke A. Rundensteiner, Yanhua Li, Richard Jordan, Mariya Ishutkina, Kajal T. Claypool, Jun Luo, Fan Zhang

AAAI 2006 Integrating Clustering and Classification for Estimating Process Variables in Materials Science Aparna S. Varde, Elke A. Rundensteiner, Carolina Ruiz, David C. Brown, Mohammed Maniruzzaman, Richard D. Sisson Jr.