A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms. - Maxime Alvarez; Jean-Charles Verdier; D'Jeff K. Nkashama; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza (CoRR, 2022)

Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems. - D'Jeff Kanda Nkashama; Arian Soltani; Jean-Charles Verdier; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza (CoRR, 2022)

Redesigning Electronic Health Record Systems to Support Developing Countries. - Jean Marie Tshimula; D'Jeff K. Nkashama; Kalonji Kalala; Maximilien V. Dialufuma; Mbuyi Mukendi Didier; Hugues Kanda; Jean Tshibangu Muabila; Christian N. Mayemba (ICMHI, 2023)

Characterizing Financial Market Coverage using Artificial Intelligence. - Jean Marie Tshimula; D'Jeff K. Nkashama; Patrick Owusu; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza; Armelle Brun; Jean-Marc Patenaude; Shengrui Wang; Belkacem Chikhaoui (CoRR, 2023)

Extended Abstract: Assessing Language Models for Semantic Textual Similarity in Cybersecurity. - Arian Soltani; D'Jeff K. Nkashama; Jordan F. Masakuna; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza (DIMVA, 2024)

Deep Learning for Network Anomaly Detection Under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation. - D'Jeff K. Nkashama; Jordan F. Masakuna; Arian Soltani; Jean-Charles Verdier; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza (ESORICS Workshops (2), 2024)

Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features. - Jean Marie Tshimula; D'Jeff K. Nkashama; Jean Tshibangu Muabila; René Manassé Galekwa; Hugues Kanda; Maximilien V. Dialufuma; Mbuyi Mukendi Didier; Kalala Kalonji; Serge Mundele; Patience Kinshie Lenye; Tighana Wenge Basele; Aristarque Ilunga; et al. (WISE (PhD Symposium, Demos and Workshops), 2024)

A Short Survey of Human Mobility Prediction in Epidemic Modeling from Transformers to LLMs. - Christian N. Mayemba; D'Jeff K. Nkashama; Jean Marie Tshimula; Maximilien V. Dialufuma; Jean Tshibangu Muabila; Mbuyi Mukendi Didier; Hugues Kanda; René Manassé Galekwa; Heber Dibwe Fita; Serge Mundele; Kalonji Kalala; Aristarque Ilunga; et al. (CoRR, 2024)

Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features. - Jean Marie Tshimula; D'Jeff K. Nkashama; Jean Tshibangu Muabila; René Manassé Galekwa; Hugues Kanda; Maximilien V. Dialufuma; Mbuyi Mukendi Didier; Kalala Kalonji; Serge Mundele; Patience Kinshie Lenye; Tighana Wenge Basele; Aristarque Ilunga; et al. (CoRR, 2024)

Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation. - D'Jeff K. Nkashama; Jordan Masakuna Félicien; Arian Soltani; Jean-Charles Verdier; Pierre-Martin Tardif; Marc Frappier; Froduald Kabanza (CoRR, 2024)

Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities. - Jean Marie Tshimula; Mitterrand Kalengayi; Dieumerci Makenga; Dorcas Lilonge; Marius Asumani; Déborah Madiya; Élie Nkuba Kalonji; Hugues Kanda; René Manassé Galekwa; Josias Kumbu; Hardy Mikese; Grace Tshimula; et al. (CoRR, 2024)

Impact of Inaccurate Contamination Ratio on Robust Unsupervised Anomaly Detection. - Jordan F. Masakuna; D'Jeff Kanda Nkashama; Arian Soltani; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza (CoRR, 2024)

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective. - Jean Marie Tshimula; Xavier Ndona; D'Jeff K. Nkashama; Pierre-Martin Tardif; Froduald Kabanza; Marc Frappier; Shengrui Wang (CoRR, 2024)

Streamlined and Resource-Efficient Estimation of Epistemic Uncertainty in Deep Ensemble Classification Decision via Regression. - Jordan F. Masakuna; D'Jeff K. Nkashama; Arian Soltani; Marc Frappier; Pierre-Martin Tardif; Froduald Kabanza (IEEE Trans. Emerg. Top. Comput. Intell., 2025)