Support vector clustering of time series data with alignment kernels. - Benedikt Boecking; Stephan K. Chalup; Detlef Seese; Aaron S. W. Wong (Pattern Recognit. Lett., 2014)

An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. - Chirag Nagpal; Kyle Miller 001; Benedikt Boecking; Artur Dubrawski (NUT@EMNLP, 2017)

Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. - Kyle Hundman; Thamme Gowda; Mayank Kejriwal; Benedikt Boecking (AIES, 2018)

Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism. - Maria De-Arteaga; Benedikt Boecking (CoRR, 2019)

Pairwise Feedback for Data Programming. - Benedikt Boecking; Artur Dubrawski (CoRR, 2019)

Weak Supervision for Affordable Modeling of Electrocardiogram Data. - Mononito Goswami; Benedikt Boecking; Artur Dubrawski (AMIA, 2021)

Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. - Benedikt Boecking; Willie Neiswanger; Eric P. Xing; Artur Dubrawski (ICLR, 2021)

End-to-End Weak Supervision. - Salva Rühling Cachay; Benedikt Boecking; Artur Dubrawski (NeurIPS, 2021)

Dependency Structure Misspecification in Multi-Source Weak Supervision Models. - Salva Rühling Cachay; Benedikt Boecking; Artur Dubrawski (CoRR, 2021)

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. - Benedikt Boecking; Naoto Usuyama; Shruthi Bannur; Daniel C. Castro; Anton Schwaighofer; Stephanie L. Hyland; Maria Wetscherek; Tristan Naumann; Aditya V. Nori; Javier Alvarez-Valle; Hoifung Poon; Ozan Oktay (ECCV (36), 2022)

Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract). - Prakruthi Pradeep; Benedikt Boecking; Nicholas Gisolfi; Jacob R. Kintz; Torin K. Clark; Artur Dubrawski (AAAI, 2023)

Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. - Shruthi Bannur; Stephanie L. Hyland; Qianchu Liu; Fernando Pérez-García; Maximilian Ilse; Daniel C. Castro; Benedikt Boecking; Harshita Sharma; Kenza Bouzid; Anja Thieme; Anton Schwaighofer; Maria Wetscherek; et al. (CVPR, 2023)

Generative Modeling Helps Weak Supervision (and Vice Versa). - Benedikt Boecking; Nicholas Carl Roberts; Willie Neiswanger; Stefano Ermon; Frederic Sala; Artur Dubrawski (ICLR, 2023)

Learning with Diverse Forms of Imperfect and Indirect Supervision - Benedikt Boecking (2023)

Constrained clustering and multiple kernel learning without pairwise constraint relaxation. - Benedikt Boecking; Vincent Jeanselme; Artur Dubrawski (Adv. Data Anal. Classif., 2024)