| Adabest: Minimizing client drift in federated learning via adaptive bias estimation F Varno, M Saghayi, L Rafiee Sevyeri, S Gupta, S Matwin, M Havaei European Conference on Computer Vision, 710-726, 2022 | 48* | 2022 |
| Learning from uncertain concepts via test time interventions I Sheth, AA Rahman, LR Sevyeri, M Havaei, SE Kahou Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 0 | 18* | |
| Unsupervised anomaly detection with a GAN augmented autoencoder L Rafiee, T Fevens International Conference on Artificial Neural Networks, 479-490, 2020 | 9 | 2020 |
| Ad-cgan: Contrastive generative adversarial network for anomaly detection LR Sevyeri, T Fevens International Conference on Image Analysis and Processing, 322-334, 2022 | 8 | 2022 |
| Surface realization using pretrained language models F Farahnak, L Rafiee, L Kosseim, T Fevens Proceedings of the Third Workshop on Multilingual Surface Realisation, 57-63, 2020 | 8 | 2020 |
| Transparent anomaly detection via concept-based explanations LR Sevyeri, I Sheth, F Farahnak, SE Kahou, SA Enger arXiv preprint arXiv:2310.10702, 2023 | 7 | 2023 |
| On the effectiveness of generative adversarial network on anomaly detection LR Sevyeri, T Fevens arXiv preprint arXiv:2112.15541, 2021 | 3 | 2021 |
| The Concordia NLG Surface Realizer at SRST 2019 F Farahnak, L Rafiee, L Kosseim, T Fevens Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR …, 2019 | 3 | 2019 |
| Source-free domain adaptation requires penalized diversity L Rafiee Sevyeri, I Sheth, F Farahnak, A See, SE Kahou, T Fevens, ... Machine Learning 114 (10), 217, 2025 | 2* | 2025 |
| Foundation Models in Medicine, Gastroenterology, and Endoscopy: The Next Frontier? LR Sevyeri, D von Renteln Gastroenterology 170 (1), 16-18, 2026 | | 2026 |
| Fundamentals of artificial intelligence P Bagherzadeh, LR Sevyeri, Y Zou, SA Enger Artificial Intelligence in Adaptive Radiation Therapy, 1-1-1-33, 2025 | | 2025 |
| Prognostic Data Extraction Harnessing a Privacy-Preserving Large Language Model: a Clinician-AI Collaborative Retrospective Evaluation in Head and Neck Oncology Y Zou, LR Sevyeri, F Farahnak, G Shenouda, K Sultanem, ... MEDICAL PHYSICS 52 (8), 9-10, 2025 | | 2025 |
| 1450 Artificial Intelligence-based Cell Survival Colony Counting Model WM Wang, J Li, LR Sevyeri, SAN Enger Radiotherapy and Oncology 206, S2435-S2437, 2025 | | 2025 |
| 1959 tackling missing values and imbalanced structured data using imputation techniques and synthetic data in colonoscopy prioritization LR Sevyeri, M Martel, C Ménard, D von Renteln, H der Singh, S Aprikian, ... Radiotherapy and Oncology 206, S3391-S3393, 2025 | | 2025 |
| Automated Cell Survival Colony Counting for Clonogenic Assays WM Wang, J Li, LR Sevyeri, SA Enger | | 2025 |
| 1402: an artificial intelligence-based cancer prediction and triage tool in GI endoscopy units LR Sevyeri, M Martel, AN Barkun, SAN Enger Radiotherapy and Oncology 194, S4476-S4478, 2024 | | 2024 |
| Tackling Distribution Shift-Detection and Mitigation L Rafiee Sevyeri Concordia University, 2022 | | 2022 |
| Contrastive Generative Adversarial Network for Anomaly Detection LR Sevyeri, T Fevens | | 2021 |
Thomas FevensProfessor, Department of Computer Science and Software Engineering, Concordia University, MontrealVerified email at cse.concordia.ca
