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Charlotte Laclau

Observed names: Laclau Charlotte, Laclau, Charlotte, Massih-Reza Amini, Charlotte Laclau, Sumit Sidana, Charlotte Laclau
Observed institutions: Institut polytechnique de Grenoble, Télécom Paris, Centre National de la Recherche Scientifique, University of Ottawa, Centrale Lyon ENISE, Laboratoire Hubert Curien, Université Sorbonne Paris Nord, Sorbonne Paris Cité, Laboratoire d'Informatique de Grenoble, Institut Polytechnique de Paris, Laboratoire d'Informatique de Paris-Nord, Laboratoire Traitement et Communication de l’Information, Université Paris Descartes, Laboratoire Informatique Paris Descartes, Université Jean Monnet, Université Jean Monnet, Université Grenoble Alpes, Université de Lorraine
ORCID: 0000-0002-7389-3191
Observed ORCID: 0000-0002-7389-3191
OpenAlex ID: A5052803333
User preference and embedding learning with implicit feedback for recommender systems
2021 · Sumit Sidana, Mikhail Trofimov, et al. · Data Mining and Knowledge Discovery · 42
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KASANDR
2017 · Sumit Sidana, Charlotte Laclau, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 25
Hard and fuzzy diagonal co-clustering for document-term partitioning
2016 · Charlotte Laclau, Mohamed Nadif · Neurocomputing · 19
Learning to recommend diverse items over implicit feedback on PANDOR
2018 · Sumit Sidana, Charlotte Laclau, et al. · ACM Conference on Recommender Systems (RecSys) · 18
Co-clustering through Optimal Transport
2017 · Laclau, Charlotte, Redko, Ievgen, et al. · arXiv (Cornell University) · 18
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All of the Fairness for Edge Prediction with Optimal Transport
2020 · Laclau, Charlotte, Redko, Ievgen, et al. · arXiv (Cornell University) · 17
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Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study
2024 · Lutfi Ozturk, Charlotte Laclau, et al. · Microvascular Research · 15
A Survey on Fairness for Machine Learning on Graphs
2022 · Choudhary, Manvi, Laclau, Charlotte, et al. · HAL · 13
Cross-Lingual Document Retrieval Using Regularized Wasserstein Distance
2018 · Georgios Balikas, Charlotte Laclau, et al. · Lecture notes in computer science · 11
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Diagonal latent block model for binary data
2016 · Charlotte Laclau, Mohamed Nadif · Statistics and Computing · 10
An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT
2023 · Thibaud Leteno, Antoine Gourru, et al. · Lecture notes in computer science · 7
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Noise-free latent block model for high dimensional data
2018 · Charlotte Laclau, Vincent Brault · Data Mining and Knowledge Discovery · 6
Representation Learning and Pairwise Ranking for Implicit and Explicit Feedback in Recommendation Systems.
2017 · Mikhail Trofimov, Sumit Sidana, et al. · arXiv (Cornell University) · 6
Fuzzy co-clustering with automated variable weighting
2015 · Charlotte Laclau, Francisco De A. T. de Carvalho, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · 6
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
2025 · Quentin Bouniot, Ievgen Redko, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 4
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Fair Text Classification with Wasserstein Independence
2023 · Thibaud Leteno, Antoine Gourru, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4
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Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
2020 · Vesseron, Nina, Redko, Ievgen, et al. · arXiv (Cornell University) · 4
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On Fair Cost Sharing Games in Machine Learning
2019 · Ievgen Redko, Charlotte Laclau · Proceedings of the AAAI Conference on Artificial Intelligence · 4
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KASANDR: A Large-Scale Dataset with Implicit Feedback for Recommendation
2017 · Sumit, Sidana, Laclau, Charlotte, et al. · HAL · 4
Fast Simultaneous Clustering and Feature Selection for Binary Data
2014 · Charlotte Laclau, Mohamed Nadif · Lecture notes in computer science · 4
A Study on Hierarchical Text Classification as a Seq2seq Task
2024 · Fatos Torba, Christophe Gravier, et al. · Lecture notes in computer science · 3
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A Survey on Fairness for Machine Learning on Graphs
2022 · Laclau, Charlotte, Largeron, Christine, et al. · arXiv (Cornell University) · 3
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Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation
2021 · Aleksandra Burashnikova, Yury Maximov, et al. · Journal of Artificial Intelligence Research · 3
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All of the Fairness for Edge Prediction with Optimal Transport
2021 · Laclau, Charlotte, Redko, Ievgen, et al. · HAL · 3
Diagonal Co-clustering Algorithm for Document-Word Partitioning
2015 · Charlotte Laclau, Mohamed Nadif · Lecture notes in computer science · 3
Works count: 69
Citation count: 259
H-index: 10
I10-index: 10
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