Jordan F. Masakuna

Orcid: 0000-0001-6165-8402

Affiliations:
  • University of Sherbrooke (UdeS), Domus laboratory, Department of Computer Science, Canada


According to our database1, Jordan F. Masakuna authored at least 19 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Enhancing Anomaly Alert Prioritization Through Calibrated Standard Deviation Uncertainty Estimation With an Ensemble of Auto-Encoders.
IEEE Trans. Netw. Serv. Manag., 2026

ANADOE: Autoencoder-Based Network Anomaly Detection With Outlier Exposure.
IEEE Internet Things J., 2026

A Detail-Oriented Auto-Encoder for Subtle Anomaly Detection in Human Activity Recognition.
Proceedings of the 22nd International Conference on Intelligent Environments, 2026

2025
A Multi-Criteria Automated MLOps Pipeline for Cost-Effective Cloud-Based Classifier Retraining in Response to Data Distribution Shifts.
CoRR, December, 2025

Enhanced Pruning for Distributed Closeness Centrality under Multi-Packet Messaging.
CoRR, December, 2025

Streamlined and Resource-Efficient Estimation of Epistemic Uncertainty in Deep Ensemble Classification Decision via Regression.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2025

Intelligent Match Counter in a Video Game Arena.
IEEE Access, 2025

A Fuzzy Logic-Based Adaptive Framework for Context-Aware and Safe Cooking Assistance with COOK: A Cognitive Orthosis for cOoKing.
Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2025), 2025

2024
Impact of Inaccurate Contamination Ratio on Robust Unsupervised Anomaly Detection.
CoRR, 2024

Deep Learning for Network Anomaly Detection Under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation.
Proceedings of the Computer Security. ESORICS 2024 International Workshops, 2024

Extended Abstract: Assessing Language Models for Semantic Textual Similarity in Cybersecurity.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2024

2023
Distributed Identification of Central Nodes with Less Communication.
Appl. Netw. Sci., December, 2023

Do Prior Information on Performance of Individual Classifiers for Fusion of Probabilistic Classifier Outputs Matter?
J. Classif., November, 2023

2022
On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Distributed Identification of Central Nodes with Less Communication.
CoRR, 2021

2020
Performance-Agnostic Fusion of Probabilistic Classifier Outputs.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
Machine Learning Methods for Shark Detection.
CoRR, 2019

A Coordinated Search Strategy for Multiple Solitary Robots: An Extension.
CoRR, 2019

A Coordinated Search Strategy for Solitary Robots.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019


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