Scholar
Lesia Semenova
Google Scholar ID: 0O3TE70AAAAJ
Assistant Professor, Rutgers University
Machine Learning
Interpretability
Trustworthy AI
Data Science
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Citations & Impact
All-time
Citations
1,597
H-index
7
i10-index
5
Publications
17
Co-authors
43
list available
Publications
6 items
The Asymmetric Harms of LLM Compression
2026
Cited
0
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
Co-authors
8 total
Cynthia Rudin
Professor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University
Chudi Zhong
University of North Carolina at Chapel Hill
Haiyang Huang
Duke University
Ronald Parr
Professor of Computer Science, Duke University
Chaofan Chen
Assistant Professor, University of Maine
Jon Donnelly
PhD Student at Duke University
Jiachang Liu
Cornell University
Margo Seltzer
University of British Columbia
