Jordan F. Masakuna

18 papers B 1C 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ANADOE: Autoencoder-Based Network Anomaly Detection With Outlier Exposure.
IEEE Internet Things J.
D'Jeff Kanda Nkashama, Jordan F. Masakuna, Arian Soltani, François Charest, Yassir Chekour, Marc Frappier, Pierre-Martin Tardif, Froduald Kabanza
2026 J jnl
Enhancing Anomaly Alert Prioritization Through Calibrated Standard Deviation Uncertainty Estimation With an Ensemble of Auto-Encoders.
IEEE Trans. Netw. Serv. Manag.
Jordan F. Masakuna, D'Jeff K. Nkashama, Arian Soltani, Marc Frappier, Pierre-Martin Tardif, Froduald Kabanza
2025 J jnl
A Multi-Criteria Automated MLOps Pipeline for Cost-Effective Cloud-Based Classifier Retraining in Response to Data Distribution Shifts.
CoRR
Emmanuel K. Katalay, David O. Dimandja, Jordan F. Masakuna
2025 J jnl
Enhanced Pruning for Distributed Closeness Centrality under Multi-Packet Messaging.
CoRR
Patrick D. Manya, Eugene M. Mbuyi, Gothy T. Ngoie, Jordan F. Masakuna
2025 J jnl
Intelligent Match Counter in a Video Game Arena.
IEEE Access
Brummel D. Mayano, Langwana L. Yan-Mol, Jordan F. Masakuna
2025 J jnl
Streamlined and Resource-Efficient Estimation of Epistemic Uncertainty in Deep Ensemble Classification Decision via Regression.
IEEE Trans. Emerg. Top. Comput. Intell.
Jordan F. Masakuna, D'Jeff K. Nkashama, Arian Soltani, Marc Frappier, Pierre-Martin Tardif, Froduald Kabanza
2024 — conf
Deep Learning for Network Anomaly Detection Under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation.
ESORICS Workshops (2)
D'Jeff K. Nkashama, Jordan F. Masakuna, Arian Soltani, Jean-Charles Verdier, Marc Frappier, Pierre-Martin Tardif, Froduald Kabanza
2024 B conf
Extended Abstract: Assessing Language Models for Semantic Textual Similarity in Cybersecurity.
DIMVA
Arian Soltani, D'Jeff K. Nkashama, Jordan F. Masakuna, Marc Frappier, Pierre-Martin Tardif, Froduald Kabanza
2024 J jnl
Impact of Inaccurate Contamination Ratio on Robust Unsupervised Anomaly Detection.
CoRR
Jordan F. Masakuna, D'Jeff Kanda Nkashama, Arian Soltani, Marc Frappier, Pierre-Martin Tardif, Froduald Kabanza
2023 J jnl
Distributed Identification of Central Nodes with Less Communication.
Appl. Netw. Sci.
Jordan F. Masakuna, Pierre K. Kafunda
2023 J jnl
Do Prior Information on Performance of Individual Classifiers for Fusion of Probabilistic Classifier Outputs Matter?
J. Classif.
Jordan F. Masakuna, Pierre K. Kafunda
2022 C conf
On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs.
FUSION
Jordan F. Masakuna, Pierre K. Kafunda, Mardochee L. Kayembe
2021 J jnl
Distributed Identification of Central Nodes with Less Communication.
CoRR
Jordan F. Masakuna, Steve Kroon
2020 C conf
Performance-Agnostic Fusion of Probabilistic Classifier Outputs.
FUSION
Jordan F. Masakuna, Simukai W. Utete, Steve Kroon
2020 J jnl
Performance-Agnostic Fusion of Probabilistic Classifier Outputs.
CoRR
Jordan F. Masakuna, Simukai W. Utete, Steve Kroon
2019 J jnl
A Coordinated Search Strategy for Multiple Solitary Robots: An Extension.
CoRR
Jordan F. Masakuna, Simukai W. Utete, Steve Kroon
2019 — conf
A Coordinated Search Strategy for Solitary Robots.
IRC
Jordan F. Masakuna, Simukai W. Utete, Steve Kroon
2019 J jnl
Machine Learning Methods for Shark Detection.
CoRR
Jordan F. Masakuna