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Emmanuel Malherbe
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2020 – today
- 2024
- [i2]Abdoulaye Sakho, Erwan Scornet, Emmanuel Malherbe:
Theoretical and experimental study of SMOTE: limitations and comparisons of rebalancing strategies. CoRR abs/2402.03819 (2024) - [i1]Hippolyte Gisserot-Boukhlef, Manuel Faysse, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo:
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism. CoRR abs/2402.12997 (2024) - 2023
- [c9]Vincent Auriau, Emmanuel Malherbe, Matthieu Perrot:
Weak Segmentation-Guided GAN for Realistic Color Edition. ICIAP (1) 2023: 487-499 - 2022
- [c8]Emmanuel Malherbe, Michel Remise, Shuai Zhang, Matthieu Perrot:
Skin Tone Diagnosis in the Wild: Towards More Robust and Inclusive User Experience Using Oriented Aleatoric Uncertainty. ACCV (2) 2022: 3-21 - 2020
- [c7]Robin Kips, Loïc Tran, Emmanuel Malherbe, Matthieu Perrot:
Beyond Color Correction : Skin Color Estimation In The Wild Through Deep Learning. Material Appearance 2020: 1-8
2010 – 2019
- 2019
- [c6]Panagiotis-Alexandros Bokaris, Emmanuel Malherbe, Thierry Wasserman, Michael Haddad, Matthieu Perrot:
Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning. Material Appearance 2019: 1-11 - 2016
- [c5]Emmanuel Malherbe, Marie-Aude Aufaure:
Bridge the terminology gap between recruiters and candidates: A multilingual skills base built from social media and linked data. ASONAM 2016: 583-590 - 2015
- [c4]Emmanuel Malherbe, Thomas Iwaszko, Marie-Aude Aufaure:
A Case-Based Approach for Easing Schema Semantic Mapping. ICCBR 2015: 228-243 - [c3]Emmanuel Malherbe, Yves Vanrompay, Marie-Aude Aufaure:
From a Ranking System to a Confidence Aware Semi-automatic Classifier. KES 2015: 73-82 - [c2]Emmanuel Malherbe, Mario Cataldi, Andrea Ballatore:
Bringing Order to the Job Market: Efficient Job Offer Categorization in E-Recruitment. SIGIR 2015: 1101-1104 - 2014
- [c1]Emmanuel Malherbe, Mamadou Diaby, Mario Cataldi, Emmanuel Viennet, Marie-Aude Aufaure:
Field selection for job categorization and recommendation to social network users. ASONAM 2014: 588-595
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