Lesia Semenova
Scholar

Lesia Semenova

Google Scholar ID: 0O3TE70AAAAJ
Assistant Professor, Rutgers University
Machine LearningInterpretabilityTrustworthy AIData Science
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,597
 
H-index
7
 
i10-index
5
 
Publications
17
 
Co-authors
43
list available
Contact
No contact links provided.
Publications
5 items
ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets
2026
Cited
2
The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
2025
Cited
0
Many Ways to be Right: Rashomon Sets for Concept-Based Neural Networks
2025
Cited
0
This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
2025
Cited
0
Fast and Interpretable Mortality Risk Scores for Critical Care Patients
arXiv.org · 2023
Cited
2
Resume (English only)
Co-authors
43 total
Cynthia Rudin
Cynthia Rudin
Professor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University
Chudi Zhong
Chudi Zhong
University of North Carolina at Chapel Hill
Haiyang Huang
Haiyang Huang
Duke University
Ronald Parr
Ronald Parr
Professor of Computer Science, Duke University
Co-author 5
Co-author 5
Chaofan Chen
Chaofan Chen
Assistant Professor, University of Maine
Co-author 7
Co-author 7
Jon Donnelly
Jon Donnelly
PhD Student at Duke University