Field selection for job categorization and recommendation to social network users. - Emmanuel Malherbe; Mamadou Diaby; Mario Cataldi; Emmanuel Viennet; Marie-Aude Aufaure (ASONAM, 2014)

A Case-Based Approach for Easing Schema Semantic Mapping. - Emmanuel Malherbe; Thomas Iwaszko; Marie-Aude Aufaure (ICCBR, 2015)

From a Ranking System to a Confidence Aware Semi-automatic Classifier. - Emmanuel Malherbe; Yves Vanrompay; Marie-Aude Aufaure (KES, 2015)

Bringing Order to the Job Market: Efficient Job Offer Categorization in E-Recruitment. - Emmanuel Malherbe; Mario Cataldi; Andrea Ballatore (SIGIR, 2015)

Bridge the terminology gap between recruiters and candidates: A multilingual skills base built from social media and linked data. - Emmanuel Malherbe; Marie-Aude Aufaure (ASONAM, 2016)

Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning. - Panagiotis-Alexandros Bokaris; Emmanuel Malherbe; Thierry Wasserman; Michael Haddad; Matthieu Perrot (Material Appearance, 2019)

Beyond Color Correction : Skin Color Estimation In The Wild Through Deep Learning. - Robin Kips; Loïc Tran; Emmanuel Malherbe; Matthieu Perrot (Material Appearance, 2020)

Skin Tone Diagnosis in the Wild: Towards More Robust and Inclusive User Experience Using Oriented Aleatoric Uncertainty. - Emmanuel Malherbe; Michel Remise; Shuai Zhang; Matthieu Perrot (ACCV (2), 2022)

Weak Segmentation-Guided GAN for Realistic Color Edition. - Vincent Auriau; Emmanuel Malherbe; Matthieu Perrot (ICIAP (1), 2023)

Learning Multiple Multicriteria Additive Models from Heterogeneous Preferences. - Vincent Auriau; Khaled Belahcène; Emmanuel Malherbe; Vincent Mousseau (ADT, 2024)

Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis. - Hippolyte Gisserot-Boukhlef; Ricardo Rei; Emmanuel Malherbe; Céline Hudelot; Pierre Colombo; Nuno Miguel Guerreiro (WMT, 2024)

Theoretical and experimental study of SMOTE: limitations and comparisons of rebalancing strategies. - Abdoulaye Sakho; Erwan Scornet; Emmanuel Malherbe (CoRR, 2024)

Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning. - Vincent Auriau; Ali Aouad; Antoine Désir; Emmanuel Malherbe (J. Open Source Softw., 2024)

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism. - Hippolyte Gisserot-Boukhlef; Manuel Faysse; Emmanuel Malherbe; Céline Hudelot; Pierre Colombo (Trans. Mach. Learn. Res., 2024)

Identification de plusieurs fonctions de valeurs additives à partir de préférences exprimées anonymement. - Vincent Auriau; Khaled Belahcène; Emmanuel Malherbe; Vincent Mousseau; Marc Pirlot (JIAF-JFPDA, 2025)

EuroBERT: Scaling Multilingual Encoders for European Languages. - Nicolas Boizard; Hippolyte Gisserot-Boukhlef; Duarte M. Alves; André F. T. Martins; Ayoub Hammal; Caio Corro; Céline Hudelot; Emmanuel Malherbe; Etienne Malaboeuf; Fanny Jourdan; Gabriel Hautreux; João Alves 003; et al. (CoRR, 2025)

Harnessing Mixed Features for Imbalance Data Oversampling: Application to Bank Customers Scoring. - Abdoulaye Sakho; Emmanuel Malherbe; Carl-Erik Gauthier; Erwan Scornet (CoRR, 2025)

Should We Still Pretrain Encoders with Masked Language Modeling? - Hippolyte Gisserot-Boukhlef; Nicolas Boizard; Manuel Faysse; Duarte M. Alves; Emmanuel Malherbe; André F. T. Martins; Céline Hudelot; Pierre Colombo (CoRR, 2025)

Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone. - Veronika Shilova; Emmanuel Malherbe; Giovanni Palma; Laurent Risser; Jean-Michel Loubes (CoRR, 2025)