Benedikt Boecking
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
B Boecking, N Usuyama, S Bannur, DC Castro, A Schwaighofer, S Hyland, ...
European Conference on Computer Vision (ECCV), 2022
Leveraging publicly available data to discern patterns of human-trafficking activity
A Dubrawski, K Miller, M Barnes, B Boecking, E Kennedy
Journal of Human Trafficking 1 (1), 65-85, 2015
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
B Boecking, W Neiswanger, EP Xing, A Dubrawski
International Conference on Learning Representations (ICLR), 2021
Event prediction with learning algorithms—A study of events surrounding the egyptian revolution of 2011 on the basis of micro blog data
B Boecking, M Hall, J Schneider
Policy & Internet 7 (2), 159-184, 2015
Learning to exploit temporal structure for biomedical vision-language processing
S Bannur, S Hyland, Q Liu, F Perez-Garcia, M Ilse, DC Castro, B Boecking, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
An entity resolution approach to isolate instances of human trafficking online
C Nagpal, K Miller, B Boecking, A Dubrawski
Proceedings of the 3rd Workshop on Noisy User-generated Text at the ACL …, 2017
End-to-End Weak Supervision
S Rühling Cachay, B Boecking, A Dubrawski
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
K Hundman, T Gowda, M Kejriwal, B Boecking
AAAI/ACM Conference on AI, Ethics, and Society 2018, 2018
Quantifying the relationship between large public events and escort advertising behavior
B Boecking, K Miller, E Kennedy, A Dubrawski
Journal of human trafficking 5 (3), 220-237, 2019
Weak supervision for affordable modeling of electrocardiogram data
M Goswami, B Boecking, A Dubrawski
AMIA Annual Symposium Proceedings 2021, 536, 2021
Support vector clustering of time series data with alignment kernels
B Boecking, SK Chalup, D Seese, ASW Wong
Pattern Recognition Letters 45, 129-135, 2014
Dependency Structure Misspecification in Multi-Source Weak Supervision Models
S Rühling Cachay, B Boecking, A Dubrawski
ICLR Workshop on Weakly Supervised Learning (WeaSuL), arXiv: 2106.10302, 2021
Pairwise Feedback for Data Programming
B Boecking, A Dubrawski
NeurIPS Workshop on Learning with Rich Experience (LIRE)., 2019
Generative Modeling Helps Weak Supervision (and Vice Versa)
B Boecking, W Neiswanger, N Roberts, S Ermon, F Sala, A Dubrawski
International Conference on Learning Representations (ICLR), 2023
Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism
M De-Arteaga, B Boecking
arXiv preprint arXiv:1906.08206, 2019
MS-CXR-T: Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
S Bannur, S Hyland, Q Liu, F Pérez-García, M Ilse, DC de Castro, ...
PhysioNet, 2023
Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation
B Boecking, V Jeanselme, A Dubrawski
Advances in Data Analysis and Classification, 2022
Predicting Events Surrounding the Egyptian Revolution of 2011 Using Learning Algorithms on Micro Blog Data
B Boecking, MA Hall, J Schneider
Internet, Politics, and Policy 2014: Crowdsourcing for Politics and Policy …, 2014
Ordinal programmatic weak supervision and crowdsourcing for estimating cognitive states (student abstract)
P Pradeep, B Boecking, N Gisolfi, JR Kintz, TK Clark, A Dubrawski
Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16304 …, 2023
Learning with Diverse Forms of Imperfect and Indirect Supervision
B Boecking
Carnegie Mellon University, 2023
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