activity
20192026
most citedIGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset

318 citations · 342 across the 8 of their papers we have counts for

collaborators

11 papers

cs.SI2026

Forecasting Conceptual Diffusion in Science: The Case of Quantum Computing

Thomas Maillart, Thibaut Chataing, David Dosu +3

Understanding and anticipating scientific change requires models that distinguish between endogenous consolidation and exogenous diffusion of scientific concepts. Using the quantum…

cs.SI2026

Explainable Forecasting of Scientific Breakthroughs from Concept Network Dynamics

Thomas Maillart, Thibaut Chataing, Ntorina Antoni +4

We introduce an explainable machine-learning approach that forecasts the structural precursors of scientific breakthroughs -- the emergence and intensification of links between res…

cs.CL2025

Monitoring Transformative Technological Convergence Through LLM-Extracted Semantic Entity Triple Graphs

Alexander Sternfeld, Andrei Kucharavy, Dimitri Percia David +3

Forecasting transformative technologies remains a critical but challenging task, particularly in fast-evolving domains such as Information and Communication Technologies (ICTs). Tr…

cs.CY2024

Measuring Technological Convergence in Encryption Technologies with Proximity Indices: A Text Mining and Bibliometric Analysis using OpenAlex

Alessandro Tavazzi, Dimitri Percia David, Julian Jang-Jaccard +1

Identifying technological convergence among emerging technologies in cybersecurity is crucial for advancing science and fostering innovation. Unlike previous studies focusing on th…

cs.CR2023★ 7 cited

Generative Adversarial Networks for Malware Detection: a Survey

Aeryn Dunmore, Julian Jang-Jaccard, Fariza Sabrina +1

Since their proposal in the 2014 paper by Ian Goodfellow, there has been an explosion of research into the area of Generative Adversarial Networks. While they have been utilised in…

cs.CR2022★ 3 cited

Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection with Birch Clustering on CICIDS-2017 Dataset

Yuhua Yin, Julian Jang-Jaccard, Fariza Sabrina +1

Machine learning algorithms have been widely used in intrusion detection systems, including Multi-layer Perceptron (MLP). In this study, we proposed a two-stage model that combines…