| A revealing large-scale evaluation of unsupervised anomaly detection algorithms M Alvarez, JC Verdier, DJK Nkashama, M Frappier, PM Tardif, F Kabanza arXiv preprint arXiv:2204.09825, 2022 | 11 | 2022 |
| Robustness evaluation of deep unsupervised learning algorithms for intrusion detection systems D Nkashama, A Soltani, JC Verdier, M Frappier, PM Tardif, F Kabanza arXiv preprint arXiv:2207.03576, 2022 | 5 | 2022 |
| Calibrated Uncertainty Quantification on Auto-Encoders for Anomaly Detection with Standard Deviation as Metric JF Masakuna, KN D'Jeff, A Soltani, M Frappier, PM Tardif, F Kabanza Authorea Preprints, 2023 | 1 | 2023 |
| Characterizing Financial Market Coverage using Artificial Intelligence JM Tshimula, DJK Nkashama, P Owusu, M Frappier, PM Tardif, ... arXiv preprint arXiv:2302.03694, 2023 | 1 | 2023 |
| The drawback of binary labeling for the evaluation of unsupervised intrusion detection algorithms JC Verdier, DJK Nkashama, M Frappier, PM Tardif, F Kabanza Marc and Tardif, Pierre-Martin and Kabanza, Froduald, The Drawback of Binary …, 0 | 1 | |
| Streamlined and Resource-Efficient Predictive Uncertainty Estimation of Deep Ensemble Predictions via Regression JF Masakuna, KN D'Jeff, A Soltani, M Frappier, PM Tardif, F Kabanza Authorea Preprints, 2023 | | 2023 |
| Redesigning Electronic Health Record Systems to Support Developing Countries JM Tshimula, DJK Nkashama, K Kalala, MV Dialufuma, M Mukendi Didier, ... Proceedings of the 2023 7th International Conference on Medical and Health …, 2023 | | 2023 |
| Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems KN D’Jeff, A Soltani, JC Verdier, M Frappier, PM Tardif, F Kabanza | | |
| The Anomaly Detection Systems defense weaponry for internal cyber threats in Industrial Control Systems T Ecarot, DK Nkashama, M Frappier, PM Tardif | | |
Marc FrappierUniversité de SherbrookeVerified email at usherbrooke.ca
