Antoine Cornuéjols

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All published works

Action	Title	Year	Authors
+ PDF Chat	ml_edm package: a Python toolkit for Machine Learning based Early Decision Making	2024	Aurélien Renault Youssef Achenchabe Édouard Bertrand Alexis Bondu Antoine Cornuéjols Vincent Lemaire Asma Dachraoui
+ PDF Chat	Early Classification of Time Series: Taxonomy and Benchmark	2024	Aurélien Renault Alexis Bondu Antoine Cornuéjols Vincent Lemaire
+	biquality-learn: a Python library for Biquality Learning	2023	Pierre Nodet Vincent Lemaire Alexis Bondu Antoine Cornuéjols
+	Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts	2023	Pierre Nodet Vincent Lemaire Alexis Bondu Antoine Cornuéjols
+ PDF Chat	When to Classify Events in Open Times Series?	2022	Youssef Achenchabe Alexis Bondu Antoine Cornuéjols Vincent Lemaire
+ PDF Chat	Open challenges for Machine Learning based Early Decision-Making research	2022	Alexis Bondu Youssef Achenchabe Albert Bifet Fabrice Clérot Antoine Cornuéjols João Gama Georges Hébrail Vincent Lemaire Pierre-François Marteau
+ PDF Chat	Early and Revocable Time Series Classification	2022	Youssef Achenchabe Alexis Bondu Antoine Cornuéjols Vincent Lemaire
+	Open challenges for Machine Learning based Early Decision-Making research	2022	Alexis Bondu Youssef Achenchabe Albert Bifet Fabrice Clérot Antoine Cornuéjols João Gama Georges Hébrail Vincent Lemaire Pierre-François Marteau
+	When to Classify Events in Open Times Series?	2022	Youssef Achenchabe Alexis Bondu Antoine Cornuéjols Vincent Lemaire
+ PDF Chat	Importance Reweighting for Biquality Learning	2021	Pierre Nodet Vincent Lemaire Alexis Bondu Antoine Cornuéjols Adam Ouorou
+ PDF Chat	From Weakly Supervised Learning to Biquality Learning: an Introduction	2021	Pierre Nodet Vincent Lemaire Alexis Bondu Antoine Cornuéjols Adam Ouorou
+	Early Classification of Time Series is Meaningful	2021	Youssef Achenchabe Alexis Bondu Antoine Cornuéjols Vincent Lemaire
+	Contrastive Representations for Label Noise Require Fine-Tuning	2021	Pierre Nodet Vincent Lemaire Alexis Bondu Antoine Cornuéjols
+	Early and Revocable Time Series Classification	2021	Youssef Achenchabe Alexis Bondu Antoine Cornuéjols Vincent Lemaire
+	Importance Reweighting for Biquality Learning	2020	Pierre Nodet Vincent Lemaire Alexis Bondu Antoine Cornuéjols
+ PDF Chat	Predictive K-means with local models	2020	Vincent Lemaire Oumaima Alaoui Ismaili Antoine Cornuéjols Dominique Gay
+ PDF Chat	Predictive K-means with local models	2020	Vincent Lemaire Oumaima Ismaili Antoine Cornuéjols Dominique Gay
+	Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms	2020	Youssef Achenchabe Alexis Bondu Antoine Cornuéjols Asma Dachraoui
+	Predictive K-means with Local Models	2020	Vincent Lemaire Oumaima Alaoui Ismaili Antoine Cornuéjols Dominique Gay
+	From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)	2019	Zied Bouraoui Antoine Cornuéjols Thierry Denœux Sébastien Destercke Didier Dubois Romain Guillaume João Marques‐Silva Jérôme Mengin Henri Prade Steven Schockaert
+	Tunnel Effects in Cognition: A new Mechanism for Scientific Discovery and Education	2017	Antoine Cornuéjols Andrée Tiberghien Gérard Collet
+	New Results - Inverse problems	2004	Antoine Cornuéjols Mohamed Jebalia Matthieu Pierres Marc Schoenauer Michèle Sébag Vijay Pratap Singh

Common Coauthors

Coauthor	Papers Together
Alexis Bondu	15
Vincent Lemaire	13
Youssef Achenchabe	9
Pierre Nodet	6
Dominique Gay	3
Vincent Lemaire	3
Georges Hébrail	2
Asma Dachraoui	2
Oumaima Alaoui Ismaili	2
João Gama	2
Adam Ouorou	2
Albert Bifet	2
Pierre-François Marteau	2
Fabrice Clérot	2
Aurélien Renault	2
Sébastien Destercke	1
Alexis Bondu	1
Oumaima Ismaili	1
Marc Schoenauer	1
Vijay Pratap Singh	1
Vincent Lemaire	1
Henri Prade	1
Andrée Tiberghien	1
Jérôme Mengin	1
João Marques‐Silva	1
Michèle Sébag	1
Mathieu Serrurier	1
Thierry Denœux	1
Didier Dubois	1
Matthieu Pierres	1
Mohamed Jebalia	1
Christel Vrain	1
Steven Schockaert	1
Romain Guillaume	1
Zied Bouraoui	1
Gérard Collet	1
Édouard Bertrand	1
Vincent Lemaire	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise	2018	Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel	5
+	Learning from untrusted data	2017	Moses Charikar Jacob Steinhardt Gregory Valiant	3
+ PDF Chat	Multiple instance learning: A survey of problem characteristics and applications	2017	Marc‐André Carbonneau Veronika Cheplygina Éric Granger Ghyslain Gagnon	3
+ PDF Chat	Classification with Noisy Labels by Importance Reweighting	2015	Tongliang Liu Dacheng Tao	3
+ PDF Chat	Learning from positive and unlabeled data: a survey	2020	Jessa Bekker Jesse Davis	3
+ PDF Chat	End-to-end Learning for Early Classification of Time Series	2019	Marc Rußwurm Sébastien Lefèvre Nicolas Courty Rémi Emonet Marco Körner Romain Tavenard	3
+ PDF Chat	Importance Reweighting for Biquality Learning	2021	Pierre Nodet Vincent Lemaire Alexis Bondu Antoine Cornuéjols Adam Ouorou	3
+ PDF Chat	From Weakly Supervised Learning to Biquality Learning: an Introduction	2021	Pierre Nodet Vincent Lemaire Alexis Bondu Antoine Cornuéjols Adam Ouorou	3
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	3
+ PDF Chat	Snorkel	2017	Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Fries Sen Wu Christopher Ré	3
+	Classifying with confidence from incomplete information	2013	Nathan Parrish Hyrum S. Anderson Maya R. Gupta Dun Yu Hsiao	2
+	Learning with Bounded Instance- and Label-dependent Label Noise	2017	Jiacheng Cheng Tongliang Liu Kotagiri Ramamohanarao Dacheng Tao	2
+	Density Ratio Estimation : A Comprehensive Review (Statistical Experiment and Its Related Topics)	2010	Masashi Sugiyama Taiji Suzuki Takafumi Kanamori	2
+ PDF Chat	Rethinking Importance Weighting for Deep Learning under Distribution Shift	2020	Tongtong Fang N. Lu Gang Niu Masashi Sugiyama	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	2
+	Rethinking Importance Weighting for Deep Learning under Distribution Shift	2020	Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama	2
+	On Symmetric Losses for Learning from Corrupted Labels	2019	Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama	2
+	Are Anchor Points Really Indispensable in Label-Noise Learning?	2019	Xiaobo Xia Tongliang Liu Nannan Wang Bo Han Gong Chen Gang Niu Masashi Sugiyama	2
+ PDF Chat	Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach	2017	Giorgio Patrini Alessandro Rozza Aditya Krishna Menon Richard Nock Lizhen Qu	2
+ PDF Chat	Meta Label Correction for Noisy Label Learning	2021	Guo‐qing Zheng Ahmed Hassan Awadallah Susan Dumais	2
+ PDF Chat	Classifiers with a reject option for early time-series classification	2013	Nima Hatami Camelia Chira	2
+	An extension of Karmarkar's projective algorithm for convex quadratic programming	1989	Yinyu Ye Edison Tse	1
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	1
+ PDF Chat	Positive and negative explanations of uncertain reasoning in the framework of possibility theory	1992	Henri Farreny del Bosque Henri Prade	1
+ PDF Chat	Nonmonotonic reasoning, preferential models and cumulative logics	1990	Sarit Kraus Daniel Lehmann Menachem Magidor	1
+	Performance Analysis of Sequential Probability Ratio Test	2013	Yu Liu X. Rong Li	1
+ PDF Chat	Causes and Explanations: A Structural-Model Approach. Part II: Explanations	2005	Joseph Y. Halpern Judea Pearl	1
+ PDF Chat	Induction of Selective Bayesian Classifiers	1994	Pat Langley Stephanie Sage	1
+	A study of standardization of variables in cluster analysis	1988	Glenn W. Milligan Martha C. Cooper	1
+	Comparing probability measures using possibility theory: A notion of relative peakedness	2006	Didier Dubois Eyke Hüllermeier	1
+ PDF Chat	Belief Revision and the EM Algorithm	2016	Inés Couso Didier Dubois	1
+ PDF Chat	Ignorability and Coarse Data	1991	Daniel F. Heitjan Donald B. Rubin	1
+ PDF Chat	Deep visual-semantic alignments for generating image descriptions	2015	Andrej Karpathy Li Fei-Fei	1
+ PDF Chat	A note on sequential detection with exponential penalty for the delay	2000	Martin Beibel	1
+ PDF Chat	Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework	2011	Thierry Denœux	1
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	1
+	Training Convolutional Networks with Noisy Labels	2014	Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir Bourdev Rob Fergus	1
+	A k-Nearest Neighbor Classification Rule Based on Dempster-Shafer Theory	2008	Thierry Denœux	1
+	Statistical Analysis With Missing Data	1989	Maureen Lahiff Roderick J. A. Little Donald B. Rubin	1
+ PDF Chat	Learning-Assisted Automated Reasoning with Flyspeck	2014	Cezary Kaliszyk Josef Urban	1
+ PDF Chat	SATzilla: Portfolio-based Algorithm Selection for SAT	2008	Lizhong Xu Frank Hutter Holger H. Hoos Kevin Leyton‐Brown	1
+ PDF Chat	Stable signal recovery from incomplete and inaccurate measurements	2006	Emmanuel J. Candès Justin Romberg Terence Tao	1
+	A tutorial on conformal prediction	2007	Glenn Shafer Vladimir Vovk	1
+	The Power of Depth for Feedforward Neural Networks	2015	Ronen Eldan Ohad Shamir	1
+	Learning from Binary Labels with Instance-Dependent Corruption	2016	Aditya Krishna Menon Brendan van Rooyen Nagarajan Natarajan	1
+	DeepMath - Deep Sequence Models for Premise Selection	2016	Alex Alemi François Chollet Niklas Eén Geoffrey Irving Christian Szegedy Josef Urban	1
+	Outline of a New Approach to the Analysis of Complex Systems and Decision Processes	1973	Lotfi A. Zadeh	1
+	Holophrasm: a neural Automated Theorem Prover for higher-order logic	2016	Daniel Whalen	1
+	Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach	2016	Inés Couso Luciano Sánchez	1
+ PDF Chat	Learning to Understand Phrases by Embedding the Dictionary	2016	Felix Hill Kyunghyun Cho Anna Korhonen Yoshua Bengio	1