Vincent Lemaire

I haven't listed the affiliation of all the co-supervisors. They're easy to find. This page is more about giving credit to students. You can find the school they came from on their personal page.

Student(s) I work with

[2023-2026] Aurélien Renault for his thesis on "Machine Learning based Early Decision Making in non-stationary environment", co-supervised with Alexis Bondu and Antoine Cornu�jols

[2023-2026] Hugo Peuzet for his thesis on "continual learning", co-supervised with Frank Meyer and Pascale Kuntz

[2025] Juan David Alonso Sanabria for his Master thesis on on "Feature consttruction for Time Series Forecasting", co-supervised with Yassine Nair Benrekia

Past Student(s) I have worked with
(thesis director)

[2024] Marine Hamon for her Master thesis on "Outlier Detection for time series" co-supervised with Yassine Nair Benrekia, Samuel Berlemont and Julien Cumin

[2024] Lina Meghouche for her Master thesis on "Outlier Detection for time series in the context of Orange Money" co-supervised with Ivan Bedini, Thierry Morel and Yassine Nair Benrekia

[2023-2024] Remi Khani for an internship on "early decision" co-supervised with Alexis Bondu and Antoine Cornu�jols

[2021-2024] Colin Troisemaine for his thesis on "Novel Class Discovery" cosupervised with Joachim Flocon-Cholet, St�phane Gosselin, Sandrine Vaton, and Alexandre Reiffers-Masson

[2021-2024] Arthur Hoaru for his thesis on "Credibility-based methods for Active Learning" cosupervised with Arnaud Martin, Jean-Christophe Dubois and Yolande Le Gall

[2023-2024] Thomas George for his Postdoc on "Mislabeled examples detection"

[2023] Nathan Le Boudec for his Master thesis on "contrefactual" co-supervised with Fran�oise Fessant and Victor Guyomard

[2019-2023] Pierre Nodet for his PhD thesis on "Biquality Learning: from Weakly Supervised Learning to Distribution Shifts" co-supervised with Antoine Cornu�jols and Alexis Bondu

[2019-2022] Youssef Achenchabe for his PhD thesis on "From the early classification of time series to machine learning-based early decision-making", co-supervised with Alexis Bondu and Antoine Cornu�jols

[2022] Aur�lien Renault for his Master thesis on "Classification of Time Series" co-supervised with Alexis Bondu

[2021] Colin Troisemaine for his Master thesis on "Regression models"

[2021] Paul Emile Zafar for his Master thesis on "Early Classification Time Series" co-supervised with Alexis Bondu

[2017-2020] Colin Leverger for his PhD thesis on "Management of cloud platform using kpi time series" co-supervised with Alexandre Termier, Thomas Guyet, Simon Malinowski and Alexis Bondu

[2020] Samy Chali for his Master thesis on "Active learning in case of relational data bases" co-supervised with Pierre Nodet and Alexis Bondu

[2020] Hugo Le Baher for his Master thesis on "Learning on noisy labels" co-supervised with Romain Trinquart

[2019] Louis Desreumaux for his Master thesis on "active learning "

[2018] Pierre Lejeail for a "Post Master" on "Fraud detection" co-supervised with Antoine Cornu�jols

[2018] Timothy Garwood for his Master thesis on "class decompositon and features creation"

[2017] Fatou Sall for her Master Thesis on "outliers detection"

[2013-2016] Oumaima Alaoui-Ismaili for her PhD Thesison "Predictive Clustering" co-supervised with Antoine Cornu�jols

[2016] Khalid Aitelamine for his Master Thesis on "the utility of local models for Predictive Clustering"

[2015] Boulos El Asmar for his Master Thesis on "semi-supervised learning"

[2014] Cedric Thao for his Master Thesis on "Using the Mahout library for Random Forests and adding a new version"

[2014] Alexandre Fernandes for his Ordinary degrees (bachelor) on "Study of K-mean pretreatments"

[2013] Julien Salotti for his Master Thesis on "Interprétation du résultat d'un clustering"

[2013] Hamdi Amroun for a part of his Master Thesis "Text classification - Case study: Pay-TV fraud"

[2009-2012] Christophe Salperwyck for his PhD Thesis on "Apprentissage incremental en-ligne sur flux de donnees" co-supervised with Philippe Preux,

[2012] Yunhui Hou for her Master Thesis on "Concept Drift Detection"

[2011] Nicolas Creff for his last year of on "Clustering using supervised representation"

[2010] Jie Liu for her master thesis

[2009] Bassem Khouzam for his master thesis on "Incremental Decision Trees"

[2006:2008] Alexis Bondu for his PhD Thesis on "Active Learning" co-supervised with St�phane Loiseau and B�atrice Duval

[2007:2008] Jonathan Milgram for his Postdoc

[2007] Maxime Chesnel for his master thesis on "Setting a Parzen window for active learning learning and a classification problem"

[2006] Gana Diagne for his master thesis on "Variable selection and methods for interpreting black-box model results"

[2005] Patrick Vovor for his master thesis on "Application of statistical learning techniques to HRTF prediction"

[2004] Vincent Choqueuse for his master thesis on "Use of statistical tools for HRTF individualization"