Isabelle Guyon

234 papers A* 4A 3B 32C 2Misc 1Journal 98Unranked 69

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CM-CLIP: Few-shot Cross-modal Generalization for Face Anti-spoofing via Prompt Learning. Mach. Intell. Res. Hui Ma, Ajian Liu, Xun Lin, Hugo Jair Escalante, Isabelle Guyon, Jun Wan, Zhen Lei, Yanyan Liang
2025	J	`jnl`	Challenge design roadmap. J. Data-centric Mach. Learn. Res. Hugo Jair Escalante, Isabelle Guyon, Addison Howard, Walter Reade, Sébastien Treguer
2025	J	`jnl`	EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. CoRR Bruno Aristimunha, Dung Truong, Pierre Guetschel, Seyed Yahya Shirazi, Isabelle Guyon, Alexandre R. Franco, Michael P. Milham, Aviv Dotan, Scott Makeig, Alexandre Gramfort, Jean-Remi King, Marie-Constance Corsi, Pedro A. Valdés-Sosa, Amitava Majumdar, Alan Evans, Terrence J. Sejnowski, Oren Shriki, Sylvain Chevallier, Arnaud Delorme
2025	J	`jnl`	Stylized Meta-Album: Group-bias injection with style transfer to study robustness against distribution shifts. CoRR Romain Mussard, Aurélien Gauffre, Ihsan Ullah, Thanh Gia Hieu Khuong, Massih-Reza Amini, Isabelle Guyon, Lisheng Sun-Hosoya
2025	—	`conf`	UniAttackData+: Unified Physical-Digital Attack Detection+ Challenge. ICCVW Hui Ma, Ajian Liu, Yongze Li, Chuanbiao Song, Xiao Guo, Changtao Miao, Wanyi Zhuang, Junze Zheng, Shunxin Chen, Yan Hong, Jiabao Guo, Jiankang Deng, Jun Lan, Weiqiang Wang, Tao Gong, Qi Chu, Sergio Escalera, Hugo Jair Escalante, Xiaoming Liu, Zhen Lei, Isabelle Guyon, Yanyan Liang, Jun Wan
2024	—	`conf`	A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-Level Performance. ICDAR (3) Birhanu Hailu Belay, Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun, Marcus Liwicki, Tesfa Tegegne, Romain Egele
2024	J	`jnl`	AI Competitions and Benchmarks: Dataset Development. CoRR Romain Egele, Júlio C. S. Jacques Júnior, Jan N. van Rijn, Isabelle Guyon, Xavier Baró, Albert Clapés, Prasanna Balaprakash, Sergio Escalera, Thomas B. Moeslund, Jun Wan
2024	J	`jnl`	Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. CoRR Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa, Jamie Hayes, Meghdad Kurmanji, Kairan Zhao, Vincent Dumoulin, Júlio C. S. Jacques Júnior, Ioannis Mitliagkas, Jun Wan, Lisheng Sun-Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon
2024	J	`jnl`	Challenge design roadmap. CoRR Hugo Jair Escalante Balderas, Isabelle Guyon, Addison Howard, Walter Reade, Sébastien Treguer
2024	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. J. Data-centric Mach. Learn. Res. Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2024	J	`jnl`	FAIR Universe HiggsML Uncertainty Challenge Competition. CoRR Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Steven Farrell, Aishik Ghosh, Isabelle Guyon, Chris Harris, Shih-Chieh Hsu, Elham E Khoda, Rémy Lyscar, Alexandre Michon, Benjamin Nachman, Peter Nugent, Mathis Reymond, David Rousseau, Benjamin Sluijter, Benjamin Thorne, Ihsan Ullah, Yulei Zhang
2024	J	`jnl`	Meta-Learning from Learning Curves for Budget-Limited Algorithm Selection. CoRR Manh Hung Nguyen, Lisheng Sun-Hosoya, Isabelle Guyon
2024	J	`jnl`	Meta-learning from learning curves for budget-limited algorithm selection. Pattern Recognit. Lett. Manh Hung Nguyen, Lisheng Sun-Hosoya, Isabelle Guyon
2024	—	`conf`	Unified Physical-Digital Attack Detection Challenge. CVPR Workshops Haocheng Yuan, Ajian Liu, Junze Zheng, Jun Wan, Jiankang Deng, Sergio Escalera, Hugo Jair Escalante, Isabelle Guyon, Zhen Lei
2024	J	`jnl`	Unified Physical-Digital Attack Detection Challenge. CoRR Haocheng Yuan, Ajian Liu, Junze Zheng, Jun Wan, Jiankang Deng, Sergio Escalera, Hugo Jair Escalante, Isabelle Guyon, Zhen Lei
2024	J	`jnl`	Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment. CoRR Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, Benedictus Kent Rachmat, Zhen Xu, Isabelle Guyon, Nihar B. Shah
2023	B	`conf`	Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization. e-Science Romain Égelé, Isabelle Guyon, Venkatram Vishwanath, Prasanna Balaprakash
2023	J	`jnl`	CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges. J. Mach. Learn. Res. Adrien Pavao, Isabelle Guyon, Anne-Catherine Letournel, Dinh-Tuan Tran, Xavier Baró, Hugo Jair Escalante, Sergio Escalera, Tyler Thomas, Zhen Xu
2023	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023	B	`conf`	Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? ESANN Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
2023	J	`jnl`	Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? CoRR Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
2023	J	`jnl`	Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. CoRR Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
2023	J	`jnl`	Modularity in Deep Learning: A Survey. CoRR Haozhe Sun, Isabelle Guyon
2023	B	`conf`	RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. IJCNN Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia
2023	J	`jnl`	RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. CoRR Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia
2023	J	`jnl`	The Tracking Machine Learning Challenge: Throughput Phase. Comput. Softw. Big Sci. Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
2022	J	`jnl`	Advances in MetaDL: AAAI 2021 challenge and workshop. CoRR Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren
2022	J	`jnl`	Asynchronous Distributed Bayesian Optimization at HPC Scale. CoRR Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash
2022	B	`conf`	AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. ICPR Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash
2022	J	`jnl`	Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition. IEEE Trans. Cybern. Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li
2022	J	`jnl`	Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon
2022	J	`jnl`	Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. CoRR Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
2022	J	`jnl`	Didn't see that coming: a survey on non-verbal social human behavior forecasting. CoRR Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
2022	B	`conf`	Filtering participants improves generalization in competitions and benchmarks. ESANN Adrien Pavão, Isabelle Guyon, Zhengying Liu
2022	J	`jnl`	First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis. IEEE Trans. Affect. Comput. Júlio C. S. Jacques Júnior, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera
2022	—	`ed.`	International Conference on Automated Machine Learning, AutoML 2022, 25-27 July 2022, Johns Hopkins University, Baltimore, MD, USA. AutoML Isabelle Guyon, Marius Lindauer, Mihaela van der Schaar, Frank Hutter, Roman Garnett
2022	J	`jnl`	Investigating synthetic medical time-series resemblance. Neurocomputing Karan Bhanot, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett
2022	J	`jnl`	LTU Attacker for Membership Inference. Algorithms Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	LTU Attacker for Membership Inference. CoRR Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
2022	J	`jnl`	Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR Adrian El Baz, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Shell Hu, Frank Hutter, Zhengying Liu, Felix Mohr, Jan N. van Rijn, Xin Wang, Isabelle Guyon
2022	A*	`conf`	Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. NeurIPS Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
2022	J	`jnl`	Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round. CoRR Manh Hung Nguyen, Lisheng Sun, Nathan Grinsztajn, Isabelle Guyon
2022	B	`conf`	Meta-learning from Learning Curves: Challenge Design and Baseline Results. IJCNN Manh Hung Nguyen, Lisheng Sun-Hosoya, Nathan Grinsztajn, Isabelle Guyon
2022	J	`jnl`	Modeling, Recognizing, and Explaining Apparent Personality From Videos. IEEE Trans. Affect. Comput. Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier
2022	J	`jnl`	NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results. CoRR Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu
2022	—	`conf`	NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results. Meta-Knowledge Transfer @ ECML/PKDD Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu
2022	J	`jnl`	OmniPrint: A Configurable Printed Character Synthesizer. CoRR Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design. CoRR Gaëtan Serré, Eva Boguslawski, Benjamin Donnot, Adrien Pavão, Isabelle Guyon, Antoine Marot
2022	J	`jnl`	Structural Agnostic Modeling: Adversarial Learning of Causal Graphs. J. Mach. Learn. Res. Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michèle Sebag
2022	J	`jnl`	Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang
2021	—	`ed.`	AAAI Workshop on Meta-Learning and MetaDL Challenge, MetaDL@AAAI 2021, virtual, February 9, 2021. MetaDL@AAAI Isabelle Guyon, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren
2021	—	`conf`	Advances in MetaDL: AAAI 2021 Challenge and Workshop. MetaDL@AAAI Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren
2021	A	`conf`	AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data. SC Romain Égelé, Prasanna Balaprakash, Isabelle Guyon, Venkatram Vishwanath, Fangfang Xia, Rick Stevens, Zhengying Liu
2021	C	`conf`	Aircraft Numerical "Twin": A Time Series Regression Competition. ICMLA Adrien Pavao, Isabelle Guyon, Nachar Stéphane, Fabrice Lebeau, Martin Ghienne, Ludovic Platon, Tristan Barbagelata, Pierre Escamilla, Sana Mzali, Meng Liao, Sylvain Lassonde, Antonin Braun, Slim Ben-Amor, Liliana Cucu-Grosjean, Marwan Wehaiba, Avner Bar-Hen, Adriana Gogonel, Alaeddine Ben Cheikh, Marc Duda, Julien Laugel, Mathieu Marauri, Mhamed Souissi, Théo Lecerf, Mehdi Elion, Sonia Tabti, Julien Budynek, Pauline Le Bouteiller, Antonin Penon, Raphaël-David Lasseri, Julien Ripoche, Thomas E. Epalle
2021	—	`conf`	Asymptotic Analysis of Meta-learning as a Recommendation Problem. MetaDL@AAAI Zhengying Liu, Isabelle Guyon
2021	—	`conf`	AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. ECML/PKDD (5) Zhen Xu, Wei-Wei Tu, Isabelle Guyon
2021	J	`jnl`	AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. CoRR Zhen Xu, Wei-Wei Tu, Isabelle Guyon
2021	J	`jnl`	Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. CoRR Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
2021	—	`ed.`	ChaLearn LAP Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, DYAD 2021, held in conjunction with ICCV 2021, Virtual, October 16, 2021 DYAD@ICCV Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera
2021	—	`conf`	ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results. DYAD@ICCV Cristina Palmero, Germán Barquero, Júlio C. S. Jacques Júnior, Albert Clapés, Johnny Núñez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, David Gallardo-Pujol, Georgina Guilera, David Leiva, Feng Han, Xiaoxue Feng, Jennifer He, Wei-Wei Tu, Thomas B. Moeslund, Isabelle Guyon, Sergio Escalera
2021	J	`jnl`	ChaLearn Looking at People: Inpainting and Denoising challenges. CoRR Sergio Escalera, Marti Soler, Stéphane Ayache, Umut Güçlü, Jun Wan, Meysam Madadi, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon
2021	J	`jnl`	Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone. CoRR Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon
2021	—	`conf`	Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. DYAD@ICCV Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
2021	J	`jnl`	DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification. BMC Bioinform. Clémentine Decamps, Alexis Arnaud, Florent Petitprez, Mira Ayadi, Aurélia Baurès, Lucile Armenoult, Sergio Escalera, Isabelle Guyon, Rémy Nicolle, Richard Tomasini, Aurélien de Reyniès, Jérôme Cros, Yuna Blum, Magali Richard
2021	—	`conf`	Didn't see that coming: a survey on non-verbal social human behavior forecasting. DYAD@ICCV Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
2021	B	`conf`	Judging competitions and benchmarks: a candidate election approach. ESANN Adrien Pavao, Isabelle Guyon, Michael Vaccaro
2021	—	`conf`	Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
2021	J	`jnl`	Learning to run a Power Network Challenge: a Retrospective Analysis. CoRR Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aïdan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero
2021	—	`conf`	Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. NeurIPS (Competition and Demos) Adrian El Baz, Ihsan Ullah, Edesio Alcobaça, André C. P. L. F. de Carvalho, Hong Chen, Fabio Ferreira, Henry Gouk, Chaoyu Guan, Isabelle Guyon, Timothy M. Hospedales, Shell Hu, Mike Huisman, Frank Hutter, Zhengying Liu, Felix Mohr, Ekrem Öztürk, Jan N. van Rijn, Haozhe Sun, Xin Wang, Wenwu Zhu
2021	—	`conf`	MetaREVEAL: RL-based Meta-learning from Learning Curves. IAL@PKDD/ECML Manh Hung Nguyen, Isabelle Guyon, Lisheng Sun-Hosoya, Nathan Grinsztajn
2021	—	`conf`	NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin
2021	—	`conf`	OmniPrint: A Configurable Printed Character Synthesizer. NeurIPS Datasets and Benchmarks Haozhe Sun, Wei-Wei Tu, Isabelle Guyon
2021	B	`conf`	Quantifying Resemblance of Synthetic Medical Time-Series. ESANN Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett
2021	J	`jnl`	The Problem of Fairness in Synthetic Healthcare Data. Entropy Karan Bhanot, Miao Qi, John S. Erickson, Isabelle Guyon, Kristin P. Bennett
2021	J	`jnl`	The Tracking Machine Learning challenge : Throughput phase. CoRR Sabrina Amrouche, Laurent Basara, Paolo Calafiura, Dmitry Emeliyanov, Victor Estrade, Steven Farrell, Cécile Germain, Vladimir Vava Gligorov, Tobias Golling, Sergey Gorbunov, Heather M. Gray, Isabelle Guyon, Mikhail Hushchyn, Vincenzo Innocente, Moritz Kiehn, Marcel Kunze, Edward Moyse, David Rousseau, Andreas Salzburger, Andrey Ustyuzhanin, Jean-Roch Vlimant
2021	—	`conf`	Understanding Social Behavior in Dyadic and Small Group Interactions: Preface. DYAD@ICCV Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera
2021	J	`jnl`	Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Júlio C. S. Jacques Júnior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sébastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arber Zela, Yang Zhang
2020	A*	`conf`	Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
2020	J	`jnl`	AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data. CoRR Romain Egele, Prasanna Balaprakash, Venkatram Vishwanath, Isabelle Guyon, Zhengying Liu
2020	—	`conf`	Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. NeurIPS (Competition and Demos) Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
2020	A*	`conf`	Deep Statistical Solvers. NeurIPS Balthazar Donon, Zhengying Liu, Wenzhuo Liu, Isabelle Guyon, Antoine Marot, Marc Schoenauer
2020	J	`jnl`	Generation and evaluation of privacy preserving synthetic health data. Neurocomputing Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
2020	J	`jnl`	Guest Editorial: Image and Video Inpainting and Denoising. IEEE Trans. Pattern Anal. Mach. Intell. Sergio Escalera, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, Jun Wan, Stéphane Ayache, Yagmur Güçlütürk, Umut Güçlü
2020	J	`jnl`	LEAP nets for system identification and application to power systems. Neurocomputing Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
2020	—	`conf`	Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark. NeurIPS (Competition and Demos) Meysam Madadi, Hugo Bertiche, Wafa Bouzouita, Isabelle Guyon, Sergio Escalera
2020	—	`conf`	Learning to run a Power Network Challenge: a Retrospective Analysis. NeurIPS (Competition and Demos) Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aidan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero
2020	B	`conf`	Medical Time-Series Data Generation Using Generative Adversarial Networks. AIME Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett
2020	—	`conf`	Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) Yiding Jiang, Parth Natekar, Manik Sharma, Sumukh K. Aithal, Dhruva Kashyap, Natarajan Subramanyam, Carlos Lassance, Daniel M. Roy, Gintare Karolina Dziugaite, Suriya Gunasekar, Isabelle Guyon, Pierre Foret, Scott Yak, Hossein Mobahi, Behnam Neyshabur, Samy Bengio
2020	J	`jnl`	NeurIPS 2020 Competition: Predicting Generalization in Deep Learning. CoRR Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur
2020	—	`conf`	Synthesizing Quality Open Data Assets from Private Health Research Studies. BIS (Workshops) Andrew Yale, Saloni Dash, Karan Bhanot, Isabelle Guyon, John S. Erickson, Kristin P. Bennett
2020	J	`jnl`	Towards automated computer vision: analysis of the AutoCV challenges 2019. Pattern Recognit. Lett. Zhengying Liu, Zhen Xu, Sergio Escalera, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu
2019	—	`ch.`	Analysis of the AutoML Challenge Series 2015-2018. Automated Machine Learning Isabelle Guyon, Lisheng Sun-Hosoya, Marc Boullé, Hugo Jair Escalante, Sergio Escalera, Zhengying Liu, Damir Jajetic, Bisakha Ray, Mehreen Saeed, Michèle Sebag, Alexander R. Statnikov, Wei-Wei Tu, Evelyne Viegas
2019	—	`conf`	Assessing privacy and quality of synthetic health data. AIDR Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
2019	J	`jnl`	AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2019	J	`jnl`	Biases in feature selection with missing data. Neurocomputing Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon
2019	—	`book`	Cause Effect Pairs in Machine Learning Isabelle Guyon, Alexander R. Statnikov, Berna Bakir Batu
2019	J	`jnl`	ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition. CoRR Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li
2019	—	`ch.`	Discriminant Learning Machines. Cause Effect Pairs in Machine Learning Diviyan Kalainathan, Olivier Goudet, Michèle Sebag, Isabelle Guyon
2019	—	`ch.`	Evaluation Methods of Cause-Effect Pairs. Cause Effect Pairs in Machine Learning Isabelle Guyon, Olivier Goudet, Diviyan Kalainathan
2019	B	`conf`	Graph Neural Solver for Power Systems. IJCNN Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Antoine Marot
2019	B	`conf`	LEAP nets for power grid perturbations. ESANN Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
2019	J	`jnl`	LEAP nets for power grid perturbations. CoRR Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer
2019	—	`ch.`	Learning Bivariate Functional Causal Models. Cause Effect Pairs in Machine Learning Olivier Goudet, Diviyan Kalainathan, Michèle Sebag, Isabelle Guyon
2019	J	`jnl`	Learning to run a power network challenge for training topology controllers. CoRR Antoine Marot, Benjamin Donnot, Camilo Romero, Luca Veyrin-Forrer, Marvin Lerousseau, Balthazar Donon, Isabelle Guyon
2019	—	`conf`	Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019. CVPR Workshops Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li
2019	B	`conf`	Privacy Preserving Synthetic Health Data. ESANN Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett
2019	—	`ch.`	Results of the Cause-Effect Pair Challenge. Cause Effect Pairs in Machine Learning Isabelle Guyon, Alexander R. Statnikov
2019	J	`jnl`	Synthetic Event Time Series Health Data Generation. CoRR Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Andrew Yale, Kristin P. Bennett
2019	J	`jnl`	Towards AutoML in the presence of Drift: first results. CoRR Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag
2019	—	`conf`	Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. NeurIPS (Competition and Demos) Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Júlio C. S. Jacques Júnior, Sergio Escalera, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu, Isabelle Guyon
2018	—	`conf`	ActivMetal: Algorithm Recommendation with Active Meta Learning. IAL@PKDD/ECML Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag
2018	B	`conf`	Analysis of imputation bias for feature selection with missing data. ESANN Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed
2018	B	`conf`	Anticipating contingengies in power grids using fast neural net screening. IJCNN Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici
2018	J	`jnl`	Design and Analysis of the NIPS 2016 Review Process. J. Mach. Learn. Res. Nihar B. Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, Ulrike von Luxburg
2018	J	`jnl`	Expert systems: Special issue on "Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)". Expert Syst. J. Knowl. Eng. José García Rodríguez, Sergio Escalera, Alexandra Psarrou, Isabelle Guyon, Andrew Lewis, Juxi Leitner
2018	J	`jnl`	Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. CoRR Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier
2018	B	`conf`	Fast Power system security analysis with Guided Dropout. ESANN Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici
2018	J	`jnl`	Fast Power system security analysis with Guided Dropout. CoRR Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici
2018	J	`jnl`	First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis. CoRR Júlio C. S. Jacques Júnior, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera
2018	J	`jnl`	Guest Editorial: Apparent Personality Analysis. IEEE Trans. Affect. Comput. Sergio Escalera, Xavier Baró, Isabelle Guyon, Hugo Jair Escalante
2018	J	`jnl`	Guest Editorial: The Computational Face. IEEE Trans. Pattern Anal. Mach. Intell. Sergio Escalera, Xavier Baró, Isabelle Guyon, Hugo Jair Escalante, Georgios Tzimiropoulos, Michel F. Valstar, Maja Pantic, Jeffrey F. Cohn, Takeo Kanade
2018	J	`jnl`	Looking at People Special Issue. Int. J. Comput. Vis. Sergio Escalera, Jordi Gonzàlez, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon
2018	J	`jnl`	Multimodal First Impression Analysis with Deep Residual Networks. IEEE Trans. Affect. Comput. Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier
2018	—	`conf`	Optimization of computational budget for power system risk assessment. ISGT Europe Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici
2018	J	`jnl`	Optimization of computational budget for power system risk assessment. CoRR Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici
2018	—	`conf`	Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest. CVAUI/IWCF/MIPPSNA@ICPR Gabriela Ramírez-de-la-Rosa, Esaú Villatoro, Bogdan Ionescu, Hugo Jair Escalante, Sergio Escalera, Martha A. Larson, Henning Müller, Isabelle Guyon
2018	B	`conf`	Systematics aware learning : a case study in high energy physics. ESANN Victor Estrade, Cécile Germain, Isabelle Guyon, David Rousseau
2018	J	`jnl`	Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yufeng Li, Wei-Wei Tu, Qiang Yang, Yang Yu
2018	—	`conf`	TrackML: A High Energy Physics Particle Tracking Challenge. eScience Paolo Calafiura, Steven Farrell, Heather M. Gray, Jean-Roch Vlimant, Vincenzo Innocente, Andreas Salzburger, Sabrina Amrouche, Tobias Golling, Moritz Kiehn, Victor Estrade, Cécile Germain, Isabelle Guyon, Ed Moyse, David Rousseau, Yetkin Yilmaz, Vladimir Vava Gligorov, Mikhail Hushchyn, Andrey Ustyuzhanin
2017	B	`conf`	A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences. FG Maryam Asadi-Aghbolaghi, Albert Clapés, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, Xavier Baró, Isabelle Guyon, Shohreh Kasaei, Sergio Escalera
2017	—	`ed.`	Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett
2017	B	`conf`	Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database. FG Eirikur Agustsson, Radu Timofte, Sergio Escalera, Xavier Baró, Isabelle Guyon, Rasmus Rothe
2017	J	`jnl`	ChaLearn Looking at People: Events and Resources. CoRR Sergio Escalera, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon
2017	B	`conf`	ChaLearn looking at people: A review of events and resources. IJCNN Sergio Escalera, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon
2017	—	`ch.`	Challenges in Multi-modal Gesture Recognition. Gesture Recognition Sergio Escalera, Vassilis Athitsos, Isabelle Guyon
2017	—	`ch.`	Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey. Gesture Recognition Maryam Asadi-Aghbolaghi, Albert Clapés, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, Xavier Baró, Isabelle Guyon, Shohreh Kasaei, Sergio Escalera
2017	J	`jnl`	Design and Analysis of the NIPS 2016 Review Process. CoRR Nihar B. Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, Ulrike von Luxburg
2017	B	`conf`	Design of an explainable machine learning challenge for video interviews. IJCNN Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Júlio C. S. Jacques Júnior, Meysam Madadi, Xavier Baró, Stéphane Ayache, Evelyne Viegas, Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier
2017	J	`jnl`	Editorial: special issue on computational intelligence for vision and robotics. Neural Comput. Appl. José García Rodríguez, Isabelle Guyon, Sergio Escalera, Alexandra Psarrou, Andrew Lewis, Miguel Cazorla
2017	—	`book`	Gesture Recognition Sergio Escalera, Isabelle Guyon, Vassilis Athitsos
2017	J	`jnl`	Introducing machine learning for power system operation support. CoRR Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Patrick Panciatici, Antoine Marot
2017	J	`jnl`	Principal motion components for one-shot gesture recognition. Pattern Anal. Appl. Hugo Jair Escalante, Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Jun Wan
2017	—	`conf`	Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges. ICCV Workshops Jun Wan, Sergio Escalera, Gholamreza Anbarjafari, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, Juri Allik, Jelena Gorbova, Chi Lin, Yiliang Xie
2017	—	`conf`	Visualizing Apparent Personality Analysis with Deep Residual Networks. ICCV Workshops Yagmur Güçlütürk, Umut Güçlü, Marc Pérez, Hugo Jair Escalante, Xavier Baró, Carlos Andújar, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier
2016	—	`conf`	A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. AutoML@ICML Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, Núria Macià, Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander R. Statnikov, Sébastien Treguer, Evelyne Viegas
2016	—	`ed.`	Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain NIPS Daniel D. Lee, Masashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, Roman Garnett
2016	B	`conf`	ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. ICPR Hugo Jair Escalante, Víctor Ponce-López, Jun Wan, Michael A. Riegler, Baiyu Chen, Albert Clapés, Sergio Escalera, Isabelle Guyon, Xavier Baró, Pål Halvorsen, Henning Müller, Martha A. Larson
2016	—	`conf`	ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results. ECCV Workshops (3) Víctor Ponce-López, Baiyu Chen, Marc Oliu, Ciprian A. Corneanu, Albert Clapés, Isabelle Guyon, Xavier Baró, Hugo Jair Escalante, Sergio Escalera
2016	—	`conf`	ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition. CVPR Workshops Jun Wan, Stan Z. Li, Yibing Zhao, Shuai Zhou, Isabelle Guyon, Sergio Escalera
2016	—	`conf`	ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016. CVPR Workshops Sergio Escalera, Mercedes Torres, Brais Martínez, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Georgios Tzimiropoulos, Ciprian A. Corneanu, Marc Oliu, Mohammad Ali Bagheri, Michel F. Valstar
2016	J	`jnl`	Challenges in multimodal gesture recognition. J. Mach. Learn. Res. Sergio Escalera, Vassilis Athitsos, Isabelle Guyon
2016	B	`conf`	How machine learning won the Higgs boson challenge. ESANN Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau
2016	—	`conf`	Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits. ECCV Workshops (3) Baiyu Chen, Sergio Escalera, Isabelle Guyon, Víctor Ponce-López, Nihar B. Shah, Marc Oliu Simon
2015	—	`conf`	ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition. CVPR Workshops Xavier Baró, Jordi Gonzàlez, Junior Fabian, Miguel Ángel Bautista, Marc Oliu, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera
2015	—	`conf`	ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results. ICCV Workshops Sergio Escalera, Junior Fabian, Pablo Pardo, Xavier Baró, Jordi Gonzàlez, Hugo Jair Escalante, Dusan Misevic, Ulrich Steiner, Isabelle Guyon
2015	B	`conf`	ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition. IJCNN Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Pablo Pardo, Junior Fabian, Marc Oliu, Hugo Jair Escalante, Iván Huerta, Isabelle Guyon
2015	B	`conf`	Design of the 2015 ChaLearn AutoML challenge. IJCNN Isabelle Guyon, Kristin P. Bennett, Gavin C. Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho, Núria Macià, Bisakha Ray, Mehreen Saeed, Alexander R. Statnikov, Evelyne Viegas
2014	J	`jnl`	CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition. IEEE Trans. Image Process. Jun Wan, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante, Qiuqi Ruan, Isabelle Guyon
2014	—	`conf`	ChaLearn Looking at People Challenge 2014: Dataset and Results. ECCV Workshops (1) Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Miguel Ángel Bautista, Meysam Madadi, Miguel Reyes, Víctor Ponce-López, Hugo Jair Escalante, Jamie Shotton, Isabelle Guyon
2014	B	`conf`	Design of the first neuronal connectomics challenge: From imaging to connectivity. IJCNN Isabelle Guyon, Demian Battaglia, Alice Guyon, Vincent Lemaire, Javier G. Orlandi, Bisakha Ray, Mehreen Saeed, Jordi Soriano, Alexander R. Statnikov, Olav Stetter
2014	—	`conf`	First Connectomics Challenge: From Imaging to Connectivity. Neural Connectomics Javier G. Orlandi, Bisakha Ray, Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Mehreen Saeed, Alexander R. Statnikov, Olav Stetter, Jordi Soriano
2014	J	`jnl`	The ChaLearn gesture dataset (CGD 2011). Mach. Vis. Appl. Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante
2014	—	`conf`	The Higgs boson machine learning challenge. HEPML@NIPS Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau
2013	B	`conf`	ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary. ICMI Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Miguel Reyes, Isabelle Guyon, Vassilis Athitsos, Hugo Jair Escalante, Leonid Sigal, Antonis A. Argyros, Cristian Sminchisescu, Richard Bowden, Stan Sclaroff
2013	B	`conf`	Multi-modal gesture recognition challenge 2013: dataset and results. ICMI Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Miguel Reyes, Oscar Lopes, Isabelle Guyon, Vassilis Athitsos, Hugo Jair Escalante
2013	J	`jnl`	Principal motion components for gesture recognition using a single-example. CoRR Hugo Jair Escalante, Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Jun Wan
2012	J	`jnl`	Analysis of the IJCNN 2011 UTL challenge. Neural Networks Isabelle Guyon, Gideon Dror, Vincent Lemaire, Daniel L. Silver, Graham W. Taylor, David W. Aha
2012	—	`conf`	ChaLearn gesture challenge: Design and first results. CVPR Workshops Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Ben Hamner, Hugo Jair Escalante
2012	—	`conf`	Clustering: Science or Art? ICML Unsupervised and Transfer Learning Ulrike von Luxburg, Robert C. Williamson, Isabelle Guyon
2012	—	`conf`	ICML2011 Unsupervised and Transfer Learning Workshop. ICML Unsupervised and Transfer Learning Daniel L. Silver, Isabelle Guyon, Graham W. Taylor, Gideon Dror, Vincent Lemaire
2012	—	`conf`	Results and Analysis of the ChaLearn Gesture Challenge 2012. WDIA Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante, Ben Hamner
2012	—	`ed.`	Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011 ICML Unsupervised and Transfer Learning Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, Daniel L. Silver
2011	—	`ed.`	Active Learning and Experimental Design workshop, In conjunction with AISTATS 2010, Sardinia, Italy, May 16, 2010 Active Learning and Experimental Design @ AISTATS Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire, Alexander R. Statnikov
2011	—	`conf`	Demonstrations and live evaluation for the gesture recognition challenge. ICCV Workshops Isabelle Guyon, Vassilis Athitsos
2011	—	`ed.`	Neural Information Processing Systems (NIPS) Mini-Symposium on Causality in Time Series, Vancouver, Canada, December 10, 2009 NIPS Mini-Symposium on Causality in Time Series Florin Popescu, Isabelle Guyon
2011	—	`conf`	Results of the Active Learning Challenge. Active Learning and Experimental Design @ AISTATS Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire
2011	—	`conf`	Time Series Analysis with the Causality Workbench. NIPS Mini-Symposium on Causality in Time Series Isabelle Guyon, Alexander R. Statnikov, Constantin F. Aliferis
2011	B	`conf`	Unsupervised and transfer learning challenge. IJCNN Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha
2010	—	`ed.`	Causality: Objectives and Assessment (NIPS 2008 Workshop), Whistler, Canada, December 12, 2008 NIPS Causality: Objectives and Assessment Isabelle Guyon, Dominik Janzing, Bernhard Schölkopf
2010	—	`conf`	Causality: Objectives and Assessment. NIPS Causality: Objectives and Assessment Isabelle Guyon, Dominik Janzing, Bernhard Schölkopf
2010	B	`conf`	Design and analysis of the WCCI 2010 active learning challenge. IJCNN Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire
2010	—	`conf`	Development Projects for the CausalityWorkbench. AAAI Spring Symposium: Artificial Intelligence for Development Isabelle Guyon, Jean-Philippe Pellet, Alexander R. Statnikov
2010	J	`jnl`	Model Selection: Beyond the Bayesian/Frequentist Divide. J. Mach. Learn. Res. Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley
2009	—	`conf`	Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database. KDD Cup Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel
2009	J	`jnl`	Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database. SIGKDD Explor. Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel
2009	—	`ed.`	Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009 KDD Cup Gideon Dror, Marc Boullé, Isabelle Guyon, Vincent Lemaire, David Vogel
2008	J	`jnl`	Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. Neural Networks Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley
2008	—	`ed.`	Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008 WCCI Causation and Prediction Challenge Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2008	—	`conf`	Design and Analysis of the Causation and Prediction Challenge. WCCI Causation and Prediction Challenge Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov
2007	B	`conf`	Agnostic Learning vs. Prior Knowledge Challenge. IJCNN Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley
2007	J	`jnl`	Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark. Pattern Recognit. Lett. Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick A. Pletscher, Georg Schneider, Markus Uhr
2007	—	`conf`	Practical Feature Selection: from Correlation to Causality. NATO ASI Mining Massive Data Sets for Security Isabelle Guyon
2006	—	`ch.`	An Introduction to Feature Extraction. Feature Extraction Isabelle Guyon, André Elisseeff
2006	—	`ch.`	Assessment Methods. Feature Extraction Gérard Dreyfus, Isabelle Guyon
2006	—	`ch.`	Design and Analysis of the NIPS2003 Challenge. Feature Extraction Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror
2006	—	`book`	Feature Extraction - Foundations and Applications Feature Extraction Isabelle Guyon, Masoud Nikravesh, Steve R. Gunn, Lotfi A. Zadeh
2006	B	`conf`	PerformancePrediction Challenge. IJCNN Isabelle Guyon, Amir Reza Saffari Azar Alamdari, Gideon Dror, Joachim M. Buhmann
2004	—	`conf`	Result Analysis of the NIPS 2003 Feature Selection Challenge. NIPS Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror
2004	—	`conf`	The WANDAML markup language for digital document annotation. IWFHR Katrin Franke, Isabelle Guyon, Lambert Schomaker, Louis Vuurpijl
2003	J	`jnl`	An Introduction to Variable and Feature Selection. J. Mach. Learn. Res. Isabelle Guyon, André Elisseeff
2003	C	`conf`	WANDA: A generic Framework applied in Forensic Handwriting Analysis and Writer Identification. HIS Katrin Franke, Lambert Schomaker, Christian Veenhuis, C. Taubenheim, Isabelle Guyon, Louis Vuurpijl, Merijn van Erp, G. Zwarts
2002	Misc	`conf`	A Stability Based Method for Discovering Structure in Clustered Data. Pacific Symposium on Biocomputing Asa Ben-Hur, André Elisseeff, Isabelle Guyon
2002	J	`jnl`	Gene Selection for Cancer Classification using Support Vector Machines. Mach. Learn. Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik
1998	J	`jnl`	Pattern classification - Pattern Anal. Appl. Isabelle Guyon
1998	J	`jnl`	What Size Test Set Gives Good Error Rate Estimates?. IEEE Trans. Pattern Anal. Mach. Intell. Isabelle Guyon, John Makhoul, Richard M. Schwartz, Vladimir Vapnik
1996	—	`ch.`	Discovering Informative Patterns and Data Cleaning. Advances in Knowledge Discovery and Data Mining Isabelle Guyon, Nada Matic, Vladimir Vapnik
1995	A	`conf`	Design of a linguistic postprocessor using variable memory length Markov models. ICDAR Isabelle Guyon, Fernando Pereira
1995	J	`jnl`	On-line cursive script recognition using time-delay neural networks and hidden Markov models. Mach. Vis. Appl. Markus Schenkel, Isabelle Guyon, Donnie Henderson
1994	—	`conf`	Comparison of classifier methods: a case study in handwritten digit recognition. ICPR (2) Léon Bottou, Corinna Cortes, John S. Denker, Harris Drucker, Isabelle Guyon, Larry D. Jackel, Yann LeCun, Urs A. Müller, Eduard Säckinger, Patrice Y. Simard, Vladimir Vapnik
1994	—	`conf`	Discovering Informative Patterns and Data Cleaning. KDD Workshop Isabelle Guyon, Nada Matic, Vladimir Vapnik
1994	—	`conf`	On-line cursive script recognition using time delay neural networks and hidden Markov models. ICASSP (2) Markus Schenkel, Isabelle Guyon, Don Henderson
1994	J	`jnl`	Recognition-based segmentation of on-line run-on handprinted words: Input vs. output segmentation. Pattern Recognit. H. Weissman, Markus Schenkel, Isabelle Guyon, C. Nohl, Donnie Henderson
1994	—	`conf`	UNIPEN project of on-line data exchange and recognizer benchmarks. ICPR (2) Isabelle Guyon, Lambert Schomaker, Rejean Plamondon, Mark Y. Liberman, Stan Janet
1993	J	`jnl`	Signature Verification Using A "Siamese" Time Delay Neural Network. Int. J. Pattern Recognit. Artif. Intell. Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, Roopak Shah
1993	—	`conf`	Signature Verification Using a Siamese Time Delay Neural Network. NIPS Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah
1993	A	`conf`	Writer-adaptation for on-line handwritten character recognition. ICDAR Nada Matic, Isabelle Guyon, John S. Denker, Vladimir Vapnik
1992	A*	`conf`	A Training Algorithm for Optimal Margin Classifiers. COLT Bernhard E. Boser, Isabelle Guyon, Vladimir Vapnik
1992	—	`conf`	Automatic Capacity Tuning of Very Large VC-Dimension Classifiers. NIPS Isabelle Guyon, Bernhard E. Boser, Vladimir Vapnik
1992	—	`conf`	Capacity control in linear classifiers for pattern recognition. ICPR (2) Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla
1992	—	`conf`	Computer aided cleaning of large databases for character recognition. ICPR (2) Nada Matic, Isabelle Guyon, Léon Bottou, John S. Denker, Vladimir Vapnik
1992	—	`conf`	Recognition-Based Segmentation of On-Line Hand-Printed Words. NIPS Markus Schenkel, H. Weissman, Isabelle Guyon, C. Nohl, Donnie Henderson
1991	J	`jnl`	Applications of Neural Networks to Character Recognition. Int. J. Pattern Recognit. Artif. Intell. Isabelle Guyon
1991	J	`jnl`	Design of a neural network character recognizer for a touch terminal. Pattern Recognit. Isabelle Guyon, P. Albrecht, Yann LeCun, John S. Denker, Wayne E. Hubbard
1991	—	`conf`	Structural Risk Minimization for Character Recognition. NIPS Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla
1990	B	`conf`	Hardware requirements for neural-net optical character recognition. IJCNN Lawrence D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Yann LeCun, Isabelle Guyon, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Sara A. Solla
1990	—	`conf`	Neural Network Implementation of Admission Control. NIPS Rodolfo A. Milito, Isabelle Guyon, Sara A. Solla
1989	—	`conf`	Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning. NATO Neurocomputing Yann LeCun, Larry D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Isabelle Guyon, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard
1989	J	`jnl`	Handwritten digit recognition: applications of neural network chips and automatic learning. IEEE Commun. Mag. Yann LeCun, Lawrence D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Isabelle Guyon, Don Henderson, Richard E. Howard, Wayne E. Hubbard
1988	—	`conf`	An application of neural net chips: handwritten digit recognition. ICNN Lawrence D. Jackel, Hans Peter Graf, Wayne E. Hubbard, John S. Denker, Don Henderson, Isabelle Guyon
1988	—	`conf`	Neural Network Recognizer for Hand-Written Zip Code Digits. NIPS John S. Denker, W. R. Gardner, Hans Peter Graf, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Lawrence D. Jackel, Henry S. Baird, Isabelle Guyon
1987	—	`conf`	High Order Neural Networks for Efficient Associative Memory Design. NIPS Gérard Dreyfus, Isabelle Guyon, Jean-Pierre Nadal, Léon Personnaz