Maxime Labonne

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Intrusion Detection

Class Separability

Machine Learning

Top Venues

ENASE (Selected Papers)

Publications

Kostis Gourgoulias, Najah Ghalyan, Maxime Labonne, Yash Satsangi, Sean Moran, Joseph Sabelja
Estimating class separability of text embeddings with persistent homology. Trans. Mach. Learn. Res. 2024 (2024)
Maxime Labonne, Sean Moran
Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection. CoRR (2023)
Najah Ghalyan, Kostis Gourgoulias, Yash Satsangi, Sean Moran, Maxime Labonne, Joseph Sabelja
An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLMs Fine-Tuning. CoRR (2023)
Erick Petersen, Jorge López, Natalia Kushik, Maxime Labonne, Claude Poletti, Djamal Zeghlache
Dynamic Link Network Emulation and Validation of Execution Datasets. ENASE (Selected Papers) (2022)
Jorge López, Maxime Labonne, Claude Poletti
Toward Formal Data Set Verification for Building Effective Machine Learning Models. KDIR (2021)
Jorge López, Maxime Labonne, Claude Poletti
Toward Formal Data Set Verification for Building Effective Machine Learning Models. CoRR (2021)
Maxime Labonne, Jorge López, Claude Poletti, Jean-Baptiste Munier
WIP: Short-Term Flow-Based Bandwidth Forecasting using Machine Learning. WOWMOM (2021)
Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau
Predicting Bandwidth Utilization on Network Links Using Machine Learning. CoRR (2021)
Maxime Labonne, Alexis Olivereau, Baptiste Polvé, Djamal Zeghlache
Unsupervised Protocol-based Intrusion Detection for Real-world Networks. ICNC (2020)
Maxime Labonne, Charalampos Chatzinakis, Alexis Olivereau
Predicting Bandwidth Utilization on Network Links Using Machine Learning. EuCNC (2020)
Maxime Labonne, Jorge López, Claude Poletti, Jean-Baptiste Munier
Short-Term Flow-Based Bandwidth Forecasting using Machine Learning. CoRR (2020)
Jorge López, Maxime Labonne, Claude Poletti, Dallal Belabed
Priority Flow Admission and Routing in SDN: Exact and Heuristic Approaches. CoRR (2020)
Jorge López, Maxime Labonne, Claude Poletti, Dallal Belabed
Priority Flow Admission and Routing in SDN: Exact and Heuristic Approaches. NCA (2020)
Maxime Labonne, Alexis Olivereau, Baptiste Polvé, Djamal Zeghlache
A Cascade-structured Meta-Specialists Approach for Neural Network-based Intrusion Detection. CCNC (2019)
Michele Russo, Maxime Labonne, Alexis Olivereau, Mohammad Rmayti
Anomaly Detection in Vehicle-to-Infrastructure Communications. VTC Spring (2018)