Sotabase

Career

· Doctor of Philosophy, Carnegie Mellon University
· Master of Science, Robotics, Carnegie Mellon University
· PhD Student, Carnegie Mellon University
· Master's Degree, Karlsruhe Institute of Technology
· Head of Research, Marinus Analytics
· Intern, Microsoft Research

Publications (19)

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
European Conference on Computer Vision · 2022
371
cited
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Computer Vision and Pattern Recognition · 2023
221
cited
Leveraging Publicly Available Data to Discern Patterns of Human-Trafficking Activity
2015
86
cited
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
International Conference on Learning Representations · 2020
75
cited
End-to-End Weak Supervision
Neural Information Processing Systems · 2021
44
cited
An Entity Resolution Approach to Isolate Instances of Human Trafficking Online
NUT@EMNLP · 2015
34
cited
Event Prediction With Learning Algorithms-A Study of Events Surrounding the Egyptian Revolution of 2011 on the Basis of Micro Blog Data
2015
34
cited
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
AAAI/ACM Conference on AI, Ethics, and Society · 2017
22
cited
Quantifying the Relationship between Large Public Events and Escort Advertising Behavior
2019
19
cited
Weak Supervision for Affordable Modeling of Electrocardiogram Data
American Medical Informatics Association Annual Symposium · 2022
16
cited
Support vector clustering of time series data with alignment kernels
Pattern Recognition Letters · 2014
11
cited
Dependency Structure Misspecification in Multi-Source Weak Supervision Models
arXiv.org · 2021
8
cited
Pairwise Feedback for Data Programming
arXiv.org · 2019
6
cited
Killings of social leaders in the Colombian post-conflict: Data analysis for investigative journalism
arXiv.org · 2019
4
cited
Predicting Events Surrounding the Egyptian Revolution of 2011 Using Learning Algorithms on Micro Blog Data
2014
3
cited
Constrained clustering and multiple kernel learning without pairwise constraint relaxation
Advances in Data Analysis and Classification · 2022
2
cited
Generative Modeling Helps Weak Supervision (and Vice Versa)
International Conference on Learning Representations · 2022
1
cited
Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract)
AAAI Conference on Artificial Intelligence · 2023
Predicting Events Using Learning Algorithms on Micro Blog Data
2014
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