Jordan F. Masakuna

According to our database, Jordan F. Masakuna authored at least 13 papers between 2019 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

Intelligent Match Counter in a Video Game Arena.

Brummel D. Mayano, Langwana L. Yan-Mol, Jordan F. Masakuna

IEEE Access, 2025

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

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

Distributed Identification of Central Nodes with Less Communication.

Jordan F. Masakuna, Pierre K. Kafunda

Appl. Netw. Sci., December, 2023

Do Prior Information on Performance of Individual Classifiers for Fusion of Probabilistic Classifier Outputs Matter?

Jordan F. Masakuna, Pierre K. Kafunda

J. Classif., November, 2023

2022

On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs.

Jordan F. Masakuna, Pierre K. Kafunda, Mardochee L. Kayembe

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Distributed Identification of Central Nodes with Less Communication.

Jordan F. Masakuna, Steve Kroon

CoRR, 2021

2020

Performance-Agnostic Fusion of Probabilistic Classifier Outputs.

Jordan F. Masakuna, Simukai W. Utete, Steve Kroon

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

Machine Learning Methods for Shark Detection.

Jordan F. Masakuna

CoRR, 2019

A Coordinated Search Strategy for Multiple Solitary Robots: An Extension.

Jordan F. Masakuna, Simukai W. Utete, Steve Kroon

CoRR, 2019

A Coordinated Search Strategy for Solitary Robots.

Jordan F. Masakuna, Simukai W. Utete, Steve Kroon

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019