Seffi Cohen

According to our database, Seffi Cohen authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Temporal Integrative Machine Learning for Early Detection of Diabetic Retinopathy Using Fundus Imaging and Electronic Health Records.

Shvat Messica, Seffi Cohen, Aviel Hadad, Michal Gordon, Or Katz, Dan Presil, Noa Dagan, Erez Tsumi, Lior Rokach

IEEE J. Biomed. Health Informatics, June, 2026

Learning Normal Representations for Blood Biomarkers.

Aashna P. Shah, Michelle M. Li, Yash Lal, Seffi Cohen, Liat F. Antwarg, Morgan Sanchez, James A. Diao, Chirag J. Patel, Ben Y. Reis, Ran D. Balicer, Noa Dagan, Arjun K. Manrai

CoRR, May, 2026

DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance.

Seffi Cohen, Nurit Cohen-Inger, Niv Goldshlager, Bracha Shapira, Lior Rokach

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations.

Yehonatan Elisha, Seffi Cohen, Oren Barkan, Noam Koenigstein

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification.

Nurit Cohen-Inger, Lior Rokach, Bracha Shapira, Seffi Cohen

CoRR, January, 2025

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems.

Nurit Cohen-Inger, Seffi Cohen, Neomi Rabaev, Lior Rokach, Bracha Shapira

CoRR, January, 2025

Adversarial evasion attacks detection for tree-based ensembles: A representation learning approach.

Gal Braun, Seffi Cohen, Lior Rokach

Inf. Fusion, 2025

Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon.

Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira, Lior Rokach, Seffi Cohen

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation.

Seffi Cohen, Edo Lior, Moshe Bocher, Lior Rokach

J. Biomed. Informatics, January, 2024

BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease.

Seffi Cohen, Nurit Cohen-Inger, Lior Rokach

Inf., 2024

BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease.

Seffi Cohen, Lior Rokach

CoRR, 2024

FairUS - UpSampling Optimized Method for Boosting Fairness.

Nurit Cohen-Inger, Guy Rozenblatt, Seffi Cohen, Lior Rokach, Bracha Shapira

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples.

Seffi Cohen, Ofir Arbili, Yisroel Mirsky, Lior Rokach

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Enhancing social network hate detection using back translation and GPT-3 augmentations during training and test-time.

Seffi Cohen, Dan Presil, Or Katz, Ofir Arbili, Shvat Messica, Lior Rokach

Inf. Fusion, November, 2023

Boosting anomaly detection using unsupervised diverse test-time augmentation.

Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira

Inf. Sci., May, 2023

TTANAD: Test-Time Augmentation for Network Anomaly Detection.

Seffi Cohen, Niv Goldshlager, Bracha Shapira, Lior Rokach

Entropy, 2023

2021

ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models.

Seffi Cohen, Noa Dagan, Nurit Cohen-Inger, Dan Ofer, Lior Rokach

IEEE Access, 2021