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 | 20 | 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 | 19 | 2022 |
Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities JM Tshimula, M Kalengayi, D Makenga, D Lilonge, M Asumani, D Madiya, ... arXiv preprint arXiv:2408.02575, 2024 | 5 | 2024 |
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 | 4 | 2023 |
Characterizing Financial Market Coverage using Artificial Intelligence JM Tshimula, DJK Nkashama, P Owusu, M Frappier, PM Tardif, ... arXiv preprint arXiv:2302.03694, 2023 | 4 | 2023 |
Streamlined and Resource-Efficient Estimation of Epistemic Uncertainty in Deep Ensemble Classification Decision via Regression JF Masakuna, DK Nkashama, A Soltani, M Frappier, PM Tardif, ... IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | 3 | 2024 |
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 | 2 | |
Impact of Inaccurate Contamination Ratio on Robust Unsupervised Anomaly Detection JF Masakuna, DJK Nkashama, A Soltani, M Frappier, PM Tardif, ... arXiv preprint arXiv:2408.07718, 2024 | 1 | 2024 |
Assessing Language Models for Semantic Textual Similarity in Cybersecurity A Soltani, DJK Nkashama, JF Masakuna, M Frappier, PM Tardif, ... International Conference on Detection of Intrusions and Malware, and …, 2024 | 1 | 2024 |
A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs CN Mayemba, DJK Nkashama, JM Tshimula, MV Dialufuma, JT Muabila, ... arXiv preprint arXiv:2404.16921, 2024 | 1 | 2024 |
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 |
Impact of Inaccurate Contamination Ratios on Robust Unsupervised Anomaly Detection: Experimental Investigation JF Masakuna, DK Nkashama, A Soltani, M Frappier, PM Tardif, ... Authorea Preprints, 2024 | | 2024 |
Data Cleaning for Unsupervised Anomaly Detection JF Masakuna, AY Bouchouareb, DK Nkashama, A Soltani, M Frappier, ... Authorea Preprints, 2024 | | 2024 |
Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective JM Tshimula, X Ndona, DJK Nkashama, PM Tardif, F Kabanza, ... arXiv preprint arXiv:2411.16642, 2024 | | 2024 |
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation DJK Nkashama, JM Félicien, A Soltani, JC Verdier, PM Tardif, M Frappier, ... arXiv preprint arXiv:2407.08838, 2024 | | 2024 |
Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features JM Tshimula, DJK Nkashama, JT Muabila, RM Galekwa, H Kanda, ... arXiv preprint arXiv:2406.18783, 2024 | | 2024 |
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 |
Enhancing Security Anomaly Alert Prioritization through Calibrated Standard Deviation Uncertainty Estimation with an Ensemble of Auto-Encoders JF Masakuna, DK Nkashama, A Soltani, M Frappier, PM Tardif, ... Authorea Preprints, 0 | | |
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation KN D’Jeff, F Jordan | | |
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems KN D’Jeff, A Soltani, JC Verdier, M Frappier, PM Tardif, F Kabanza | | |