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Benedikt Boecking
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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
1522022
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
1032015
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
B Boecking, W Neiswanger, EP Xing, A Dubrawski
International Conference on Learning Representations (ICLR), 2021
842021
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
632023
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
462017
End-to-End Weak Supervision
S Rühling Cachay, B Boecking, A Dubrawski
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021
452021
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
45*2015
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
282018
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
252019
Weak supervision for affordable modeling of electrocardiogram data
M Goswami, B Boecking, A Dubrawski
AMIA Annual Symposium Proceedings 2021, 536, 2021
152021
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
132014
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
10*2021
Pairwise Feedback for Data Programming
B Boecking, A Dubrawski
NeurIPS Workshop on Learning with Rich Experience (LIRE)., 2019
72019
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
42023
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
42019
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
32023
MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
B Boecking, N Usuyama, S Bannur, DC de Castro, A Schwaighofer, ...
PhysioNet, 2022
2*2022
Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation
B Boecking, V Jeanselme, A Dubrawski
Advances in Data Analysis and Classification, 2022
12022
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
12014
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
2023
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Articles 1–20