Bertrand Lebichot

Orcid: 0000-0003-2188-0118

According to our database1, Bertrand Lebichot authored at least 23 papers between 2012 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The role of diversity and ensemble learning in credit card fraud detection.
Adv. Data Anal. Classif., March, 2024

2023
Evaluating the Impact of Text De-Identification on Downstream NLP Tasks.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

2022
LuxemBERT: Simple and Practical Data Augmentation in Language Model Pre-Training for Luxembourgish.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

On the Suitability of SHAP Explanations for Refining Classifications.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Towards Refined Classifications Driven by SHAP Explanations.
Proceedings of the Machine Learning and Knowledge Extraction, 2022

2021
Incremental learning strategies for credit cards fraud detection.
Int. J. Data Sci. Anal., 2021

Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production.
CoRR, 2021

Transfer Learning Strategies for Credit Card Fraud Detection.
IEEE Access, 2021

AST-MTL: An Attention-Based Multi-Task Learning Strategy for Traffic Forecasting.
IEEE Access, 2021

Comparing MultiLingual and Multiple MonoLingual Models for Intent Classification and Slot Filling.
Proceedings of the Natural Language Processing and Information Systems, 2021

2020
An experimental study of graph-based semi-supervised classification with additional node information.
Knowl. Inf. Syst., 2020

Incremental learning strategies for credit cards fraud detection: Extended abstract.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Graph-Based Fraud Detection with the Free Energy Distance.
Proceedings of the Complex Networks and Their Applications VIII, 2019

Understanding Telecom Customer Churn with Machine Learning: From Prediction to Causal Inference.
Proceedings of the Artificial Intelligence and Machine Learning, 2019

2018
Network analysis based on bag-of-paths: classification, node criticality and randomized policies.
PhD thesis, 2018

A bag-of-paths node criticality measure.
Neurocomputing, 2018

A Constrained Randomized Shortest-Paths Framework for Optimal Exploration.
CoRR, 2018

2017
Improving Card Fraud Detection Through Suspicious Pattern Discovery.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2016
A graph-based, semi-supervised, credit card fraud detection system.
Proceedings of the Complex Networks & Their Applications V - Proceedings of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), Milan, Italy, November 30, 2016

2015
Two betweenness centrality measures based on Randomized Shortest Paths.
CoRR, 2015

2014
Semisupervised Classification Through the Bag-of-Paths Group Betweenness.
IEEE Trans. Neural Networks Learn. Syst., 2014

2012
Semi-Supervised Classification Through the Bag-of-Paths Group Betweenness
CoRR, 2012


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