14 Jan 2025Open access
Impact of Inaccurate Contamination Ratios on Robust Unsupervised Anomaly Detection: Experimental InvestigationPublisher siteActive, last published 2026
In anomaly detection techniques and applications
Jordan F.
Masakuna
Scholar“Research focused on Anomaly Detection Techniques and Applications and adjacent fields.”
Université de Kinshasa (UNIKIN)
DR Congo
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01 · About the work
What I study
ordan F. Masakuna is a researcher working on Anomaly Detection Techniques and Applications. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Jordan's work has been cited 33 times across 4 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Anomaly Detection Techniques and Applications×15Network Security and Intrusion Detection×8Modular Robots and Swarm Intelligence×5Optimization and Search Problems×4Complex Network Analysis Techniques×3
04 · Where I am
Affiliations
Affiliation on published researchUniversity of Kinshasa, DR CongoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
9 works1 Jan 2025Open access
Intelligent Match Counter in a Video Game ArenaPublisher siteIEEE Access, Artificial Intelligence in Games
11 Dec 2024Open access
Impact of Inaccurate Contamination Ratios on Robust Unsupervised Anomaly Detection: Experimental InvestigationPublisher site3 Aug 2023Open access
A Soft Obstacle Search Strategy for Various Solitary Robots in an Unknown EnvironmentPublisher siteResearch Square, Optimization and Search Problems
22 Jul 20234cites
Do Prior Information on Performance of Individual Classifiers for Fusion of Probabilistic Classifier Outputs Matter?Publisher siteJournal of Classification, Face and Expression Recognition
17 Feb 2023Open access1cites
Distributed Identification of Central Nodes with Less CommunicationPublisher siteApplied Network Science, Complex Network Analysis Techniques
9 Dec 2022Open access
Do Prior Information on Performance of Individual Classifiers for Fusion of Probabilistic Classifier Outputs using Yayambo Matter?Publisher siteResearch Square, Machine Learning and Data Classification
4 Jul 20225cites
On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier OutputsPublisher site2022 25th International Conference on Information Fusion (FUSION), Fault Detection and Control Systems
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