D'Jeff K. Nkashama

According to our database, D'Jeff K. Nkashama authored at least 14 papers between 2022 and 2025.

Collaborative distances:

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

2025

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., August, 2025

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

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

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, Jean Tshibangu Muabila, Christian N. Mayemba, D'Jeff K. Nkashama, Kalonji Kalala, Steve Ataky, Tighana Wenge Basele, Mbuyi Mukendi Didier, Selain K. Kasereka, Maximilien V. Dialufuma, Godwill Ilunga Wa Kumwita, Lionel Muyuku, Jean-Paul Kimpesa, Dominique Muteba, Aaron Aruna Abedi, Lambert Mukendi Ntobo, Gloria M. Bundutidi, Désiré Kulimba Mashinda, Emmanuel Kabengele Mpinga, Nathanaël M. Kasoro

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

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, Christian N. Mayemba, Nathanaël M. Kasoro, Selain K. Kasereka, Hardy Mikese, Pierre-Martin Tardif, Marc Frappier, Froduald Kabanza, Belkacem Chikhaoui, Shengrui Wang, Ali Mulenda Sumbu, Xavier Ndona, Raoul Kienge-Kienge Intudi

CoRR, 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, Lambert Mukendi Ntobo, Dominique Muteba, Aaron Aruna Abedi

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, Christian N. Mayemba, Nathanaël M. Kasoro, Selain K. Kasereka, Hardy Mikese, Pierre-Martin Tardif, Marc Frappier, Froduald Kabanza, Shengrui Wang, Ali Mulenda Sumbu, Xavier Ndona, Raoul Kienge-Kienge Intudi

Proceedings of the Web Information Systems Engineering - WISE 2024 PhD Symposium, Demos and Workshops, 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

Proceedings of the Computer Security. ESORICS 2024 International Workshops, 2024

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

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2024

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

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

Proceedings of the 7th International Conference on Medical and Health Informatics, 2023

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

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