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Benedikt Boecking
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2020 – today
- 2024
- [j2]Benedikt Boecking, Vincent Jeanselme, Artur Dubrawski:
Constrained clustering and multiple kernel learning without pairwise constraint relaxation. Adv. Data Anal. Classif. 18(2): 309-324 (2024) - 2023
- [c9]Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi, Jacob R. Kintz, Torin K. Clark, Artur Dubrawski:
Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract). AAAI 2023: 16304-16305 - [c8]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, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay:
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CVPR 2023: 15016-15027 - [c7]Benedikt Boecking, Nicholas Carl Roberts, Willie Neiswanger, Stefano Ermon, Frederic Sala, Artur Dubrawski:
Generative Modeling Helps Weak Supervision (and Vice Versa). ICLR 2023 - [i12]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, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay:
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. CoRR abs/2301.04558 (2023) - 2022
- [c6]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:
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. ECCV (36) 2022: 1-21 - [i11]Mononito Goswami, Benedikt Boecking, Artur Dubrawski:
Weak Supervision for Affordable Modeling of Electrocardiogram Data. CoRR abs/2201.02936 (2022) - [i10]Benedikt Boecking, Willie Neiswanger, Nicholas Carl Roberts, Stefano Ermon, Frederic Sala, Artur Dubrawski:
Generative Modeling Helps Weak Supervision (and Vice Versa). CoRR abs/2203.12023 (2022) - [i9]Benedikt Boecking, Vincent Jeanselme, Artur Dubrawski:
Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation. CoRR abs/2203.12546 (2022) - [i8]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:
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. CoRR abs/2204.09817 (2022) - 2021
- [c5]Mononito Goswami, Benedikt Boecking, Artur Dubrawski:
Weak Supervision for Affordable Modeling of Electrocardiogram Data. AMIA 2021 - [c4]Benedikt Boecking, Willie Neiswanger, Eric P. Xing, Artur Dubrawski:
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. ICLR 2021 - [c3]Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski:
End-to-End Weak Supervision. NeurIPS 2021: 1845-1857 - [i7]Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski:
Dependency Structure Misspecification in Multi-Source Weak Supervision Models. CoRR abs/2106.10302 (2021) - [i6]Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski:
End-to-End Weak Supervision. CoRR abs/2107.02233 (2021) - 2020
- [i5]Benedikt Boecking, Willie Neiswanger, Eric Poe Xing, Artur Dubrawski:
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. CoRR abs/2012.06046 (2020)
2010 – 2019
- 2019
- [i4]Maria De-Arteaga, Benedikt Boecking:
Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism. CoRR abs/1906.08206 (2019) - [i3]Benedikt Boecking, Artur Dubrawski:
Pairwise Feedback for Data Programming. CoRR abs/1912.07685 (2019) - 2018
- [c2]Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking:
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. AIES 2018: 137-143 - 2017
- [c1]Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski:
An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. NUT@EMNLP 2017: 77-84 - [i2]Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking:
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. CoRR abs/1712.00846 (2017) - 2015
- [i1]Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski:
An Entity Resolution approach to isolate instances of Human Trafficking online. CoRR abs/1509.06659 (2015) - 2014
- [j1]Benedikt Boecking, Stephan K. Chalup, Detlef Seese, Aaron S. W. Wong:
Support vector clustering of time series data with alignment kernels. Pattern Recognit. Lett. 45: 129-135 (2014)
Coauthor Index
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last updated on 2024-08-05 20:25 CEST by the dblp team
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