Emmanuel Malherbe

Orcid: 0009-0006-0898-6873

According to our database1, Emmanuel Malherbe authored at least 21 papers between 2014 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate.
CoRR, September, 2025

Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone.
CoRR, July, 2025

Should We Still Pretrain Encoders with Masked Language Modeling?
CoRR, July, 2025

EuroBERT: Scaling Multilingual Encoders for European Languages.
CoRR, March, 2025

Harnessing Mixed Features for Imbalance Data Oversampling: Application to Bank Customers Scoring.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2025

Better Capturing Interactions Between Products in Retail: Revisited Negative Sampling for Basket Choice Modeling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2025

Identification de plusieurs fonctions de valeurs additives à partir de préférences exprimées anonymement.
Proceedings of the 19èmes Journées d'Intelligence Artificielle Fondamentale et 20èmes Journées Francophones sur la Planification, 2025

2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism.
Trans. Mach. Learn. Res., 2024

Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning.
J. Open Source Softw., 2024

Theoretical and experimental study of SMOTE: limitations and comparisons of rebalancing strategies.
CoRR, 2024

Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis.
Proceedings of the Ninth Conference on Machine Translation, 2024

Learning Multiple Multicriteria Additive Models from Heterogeneous Preferences.
Proceedings of the Algorithmic Decision Theory - 8th International Conference, 2024

2023
Weak Segmentation-Guided GAN for Realistic Color Edition.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2022
Skin Tone Diagnosis in the Wild: Towards More Robust and Inclusive User Experience Using Oriented Aleatoric Uncertainty.
Proceedings of the Computer Vision - ACCV 2022, 2022

2020
Beyond Color Correction : Skin Color Estimation In The Wild Through Deep Learning.
Proceedings of the Material Appearance 2020, Burlingame, CA, USA, January 26-30, 2020, 2020

2019
Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning.
Proceedings of the Material Appearance 2019, Burlingame, CA, USA, January 13-17, 2019, 2019

2016
Bridge the terminology gap between recruiters and candidates: A multilingual skills base built from social media and linked data.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Bringing Order to the Job Market: Efficient Job Offer Categorization in E-Recruitment.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

From a Ranking System to a Confidence Aware Semi-automatic Classifier.
Proceedings of the 19th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2015

A Case-Based Approach for Easing Schema Semantic Mapping.
Proceedings of the Case-Based Reasoning Research and Development, 2015

2014
Field selection for job categorization and recommendation to social network users.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014


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