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2020 – today
- 2024
[j45]Manh Hung Nguyen
, Lisheng Sun-Hosoya, Isabelle Guyon:
Meta-learning from learning curves for budget-limited algorithm selection. Pattern Recognit. Lett. 185: 225-231 (2024)- [c110]Haocheng Yuan, Ajian Liu, Junze Zheng, Jun Wan, Jiankang Deng, Sergio Escalera, Hugo Jair Escalante, Isabelle Guyon, Zhen Lei:
Unified Physical-Digital Attack Detection Challenge. CVPR Workshops 2024: 919-929 - [c109]Birhanu Hailu Belay, Isabelle Guyon, Tadele Mengiste, Bezawork Tilahun, Marcus Liwicki, Tesfa Tegegne, Romain Egele:
A Historical Handwritten Dataset for Ethiopic OCR with Baseline Models and Human-Level Performance. ICDAR (3) 2024: 23-38 - [i45]Hugo Jair Escalante Balderas, Isabelle Guyon, Addison Howard, Walter Reade, Sébastien Treguer:
Challenge design roadmap. CoRR abs/2401.13693 (2024) - [i44]Haocheng Yuan, Ajian Liu, Junze Zheng, Jun Wan, Jiankang Deng, Sergio Escalera, Hugo Jair Escalante, Isabelle Guyon, Zhen Lei:
Unified Physical-Digital Attack Detection Challenge. CoRR abs/2404.06211 (2024) - [i43]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:
AI Competitions and Benchmarks: Dataset Development. CoRR abs/2404.09703 (2024) - [i42]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:
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. CoRR abs/2406.09073 (2024) - 2023
- [j44]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:
The Tracking Machine Learning Challenge: Throughput Phase. Comput. Softw. Big Sci. 7(1): 1 (2023) - [j43]Adrien Pavao, Isabelle Guyon, Anne-Catherine Letournel, Dinh-Tuan Tran, Xavier Baró, Hugo Jair Escalante, Sergio Escalera, Tyler Thomas, Zhen Xu:
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges. J. Mach. Learn. Res. 24: 198:1-198:6 (2023) - [c108]Romain Égelé, Isabelle Guyon, Venkatram Vishwanath, Prasanna Balaprakash:
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization. e-Science 2023: 1-10 - [c107]Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash:
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? ESANN 2023 - [c106]Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia:
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. IJCNN 2023: 1-9 - [i41]Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu:
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. CoRR abs/2302.08909 (2023) - [i40]Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash:
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? CoRR abs/2307.15422 (2023) - [i39]Haozhe Sun, Isabelle Guyon:
Modularity in Deep Learning: A Survey. CoRR abs/2310.01154 (2023) - [i38]Haozhe Sun, Isabelle Guyon, Felix Mohr, Hedi Tabia:
RRR-Net: Reusing, Reducing, and Recycling a Deep Backbone Network. CoRR abs/2310.01157 (2023) - [i37]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 D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - 2022
- [j42]Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon:
LTU Attacker for Membership Inference. Algorithms 15(7): 254 (2022) - [j41]Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon:
Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. 5 (2022) - [j40]Karan Bhanot, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett:
Investigating synthetic medical time-series resemblance. Neurocomputing 494: 368-378 (2022) - [j39]Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon, David Lopez-Paz, Michèle Sebag:
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs. J. Mach. Learn. Res. 23: 219:1-219:62 (2022) - [j38]Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon:
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns 3(7): 100543 (2022) - [j37]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:
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis. IEEE Trans. Affect. Comput. 13(1): 75-95 (2022) - [j36]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:
Modeling, Recognizing, and Explaining Apparent Personality From Videos. IEEE Trans. Affect. Comput. 13(2): 894-911 (2022) - [j35]Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li:
ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition. IEEE Trans. Cybern. 52(5): 3422-3433 (2022) - [c105]Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu:
NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results. Meta-Knowledge Transfer @ ECML/PKDD 2022: 24-37 - [c104]Adrien Pavão, Isabelle Guyon, Zhengying Liu:
Filtering participants improves generalization in competitions and benchmarks. ESANN 2022 - [c103]Romain Egele, Romit Maulik, Krishnan Raghavan, Bethany Lusch, Isabelle Guyon, Prasanna Balaprakash:
AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification. ICPR 2022: 1908-1914 - [c102]Manh Hung Nguyen, Lisheng Sun-Hosoya, Nathan Grinsztajn, Isabelle Guyon:
Meta-learning from Learning Curves: Challenge Design and Baseline Results. IJCNN 2022: 1-8 - [c101]Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu:
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification. NeurIPS 2022 - [e14]Isabelle Guyon, Marius Lindauer, Mihaela van der Schaar, Frank Hutter, Roman Garnett:
International Conference on Automated Machine Learning, AutoML 2022, 25-27 July 2022, Johns Hopkins University, Baltimore, MD, USA. Proceedings of Machine Learning Research 188, PMLR 2022 [contents] - [i36]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:
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019. CoRR abs/2201.03801 (2022) - [i35]Haozhe Sun, Wei-Wei Tu, Isabelle Guyon:
OmniPrint: A Configurable Printed Character Synthesizer. CoRR abs/2201.06648 (2022) - [i34]Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren:
Advances in MetaDL: AAAI 2021 challenge and workshop. CoRR abs/2202.01890 (2022) - [i33]Joseph Pedersen, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu, Isabelle Guyon:
LTU Attacker for Membership Inference. CoRR abs/2202.02278 (2022) - [i32]Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister:
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR abs/2202.06052 (2022) - [i31]Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero:
Didn't see that coming: a survey on non-verbal social human behavior forecasting. CoRR abs/2203.02480 (2022) - [i30]Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero:
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. CoRR abs/2203.03245 (2022) - [i29]Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon:
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR abs/2204.02625 (2022) - [i28]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:
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. CoRR abs/2206.08138 (2022) - [i27]Romain Egele, Joceran Gouneau, Venkatram Vishwanath, Isabelle Guyon, Prasanna Balaprakash:
Asynchronous Distributed Bayesian Optimization at HPC Scale. CoRR abs/2207.00479 (2022) - [i26]Gaëtan Serré, Eva Boguslawski, Benjamin Donnot, Adrien Pavão, Isabelle Guyon, Antoine Marot:
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design. CoRR abs/2207.10330 (2022) - [i25]Manh Hung Nguyen, Lisheng Sun, Nathan Grinsztajn, Isabelle Guyon:
Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round. CoRR abs/2208.02821 (2022) - [i24]Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu:
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results. CoRR abs/2208.14686 (2022) - 2021
- [j34]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:
DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification. BMC Bioinform. 22(1): 473 (2021) - [j33]Karan Bhanot, Miao Qi, John S. Erickson, Isabelle Guyon, Kristin P. Bennett:
The Problem of Fairness in Synthetic Healthcare Data. Entropy 23(9): 1165 (2021) - [j32]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:
Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3108-3125 (2021) - [c100]Adrian El Baz, Isabelle Guyon, Zhengying Liu, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren:
Advances in MetaDL: AAAI 2021 Challenge and Workshop. MetaDL@AAAI 2021: 1-16 - [c99]Zhengying Liu, Isabelle Guyon:
Asymptotic Analysis of Meta-learning as a Recommendation Problem. MetaDL@AAAI 2021: 100-114 - [c98]Karan Bhanot, Saloni Dash, Joseph Pedersen, Isabelle Guyon, Kristin P. Bennett:
Quantifying Resemblance of Synthetic Medical Time-Series. ESANN 2021 - [c97]Adrien Pavao, Isabelle Guyon, Michael Vaccaro:
Judging competitions and benchmarks: a candidate election approach. ESANN 2021 - [c96]Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera:
Understanding Social Behavior in Dyadic and Small Group Interactions: Preface. DYAD@ICCV 2021: 1-3 - [c95]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:
ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions: Dataset, Design, and Results. DYAD@ICCV 2021: 4-52 - [c94]Germán Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero:
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios. DYAD@ICCV 2021: 107-138 - [c93]Germán Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero:
Didn't see that coming: a survey on non-verbal social human behavior forecasting. DYAD@ICCV 2021: 139-178 - [c92]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:
Aircraft Numerical "Twin": A Time Series Regression Competition. ICMLA 2021: 441-448 - [c91]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:
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 2021: 50-72 - [c90]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:
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) 2021: 80-96 - [c89]Haozhe Sun, Wei-Wei Tu, Isabelle Guyon:
OmniPrint: A Configurable Printed Character Synthesizer. NeurIPS Datasets and Benchmarks 2021 - [c88]Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister:
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) 2021: 246-258 - [c87]Manh Hung Nguyen, Isabelle Guyon, Lisheng Sun-Hosoya, Nathan Grinsztajn:
MetaREVEAL: RL-based Meta-learning from Learning Curves. IAL@PKDD/ECML 2021: 1-20 - [c86]Zhen Xu, Wei-Wei Tu, Isabelle Guyon:
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. ECML/PKDD (5) 2021: 36-51 - [c85]Romain Égelé, Prasanna Balaprakash, Isabelle Guyon, Venkatram Vishwanath, Fangfang Xia, Rick Stevens, Zhengying Liu:
AgEBO-tabular: joint neural architecture and hyperparameter search with autotuned data-parallel training for tabular data. SC 2021: 30 - [e13]Isabelle Guyon, Jan N. van Rijn, Sébastien Treguer, Joaquin Vanschoren:
AAAI Workshop on Meta-Learning and MetaDL Challenge, MetaDL@AAAI 2021, virtual, February 9, 2021. Proceedings of Machine Learning Research 140, PMLR 2021 [contents] - [e12]Cristina Palmero, Júlio C. S. Jacques Júnior, Albert Clapés, Isabelle Guyon, Wei-Wei Tu, Thomas B. Moeslund, Sergio Escalera:
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. Proceedings of Machine Learning Research 173, PMLR 2021 [contents] - [i23]Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aïdan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero:
Learning to run a Power Network Challenge: a Retrospective Analysis. CoRR abs/2103.03104 (2021) - [i22]Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon:
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. CoRR abs/2104.10201 (2021) - [i21]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:
The Tracking Machine Learning challenge : Throughput phase. CoRR abs/2105.01160 (2021) - [i20]Sergio Escalera, Marti Soler, Stéphane Ayache, Umut Güçlü, Jun Wan, Meysam Madadi, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon:
ChaLearn Looking at People: Inpainting and Denoising challenges. CoRR abs/2106.13071 (2021) - [i19]Zhen Xu, Wei-Wei Tu, Isabelle Guyon:
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge. CoRR abs/2107.13186 (2021) - [i18]Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon:
Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone. CoRR abs/2110.05802 (2021) - 2020
- [j31]Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett:
Generation and evaluation of privacy preserving synthetic health data. Neurocomputing 416: 244-255 (2020) - [j30]Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer:
LEAP nets for system identification and application to power systems. Neurocomputing 416: 316-327 (2020) - [j29]Sergio Escalera, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, Jun Wan, Stéphane Ayache, Yagmur Güçlütürk, Umut Güçlü:
Guest Editorial: Image and Video Inpainting and Denoising. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1021-1024 (2020) - [j28]Zhengying Liu, Zhen Xu, Sergio Escalera, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu:
Towards automated computer vision: analysis of the AutoCV challenges 2019. Pattern Recognit. Lett. 135: 196-203 (2020) - [c84]Saloni Dash, Andrew Yale, Isabelle Guyon, Kristin P. Bennett:
Medical Time-Series Data Generation Using Generative Adversarial Networks. AIME 2020: 382-391 - [c83]Andrew Yale, Saloni Dash, Karan Bhanot, Isabelle Guyon, John S. Erickson, Kristin P. Bennett:
Synthesizing Quality Open Data Assets from Private Health Research Studies. BIS (Workshops) 2020: 324-335 - [c82]Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon:
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD 2020: 3533-3534 - [c81]Balthazar Donon, Zhengying Liu, Wenzhuo Liu, Isabelle Guyon, Antoine Marot, Marc Schoenauer:
Deep Statistical Solvers. NeurIPS 2020 - [c80]Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon:
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. NeurIPS (Competition and Demos) 2020: 3-26 - [c79]Meysam Madadi, Hugo Bertiche, Wafa Bouzouita, Isabelle Guyon, Sergio Escalera:
Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark. NeurIPS (Competition and Demos) 2020: 57-76 - [c78]Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold, Adrian Kelly, Aidan O'Sullivan, Jan Viebahn, Mariette Awad, Isabelle Guyon, Patrick Panciatici, Camilo Romero:
Learning to run a Power Network Challenge: a Retrospective Analysis. NeurIPS (Competition and Demos) 2020: 112-132 - [c77]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:
Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. NeurIPS (Competition and Demos) 2020: 170-190 - [i17]Romain Egele, Prasanna Balaprakash, Venkatram Vishwanath, Isabelle Guyon, Zhengying Liu:
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data. CoRR abs/2010.16358 (2020) - [i16]Yiding Jiang, Pierre Foret, Scott Yak, Daniel M. Roy, Hossein Mobahi, Gintare Karolina Dziugaite, Samy Bengio, Suriya Gunasekar, Isabelle Guyon, Behnam Neyshabur:
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning. CoRR abs/2012.07976 (2020)
2010 – 2019
- 2019
- [j27]Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Julie Josse, Mehreen Saeed, Isabelle Guyon:
Biases in feature selection with missing data. Neurocomputing 342: 97-112 (2019) - [c76]Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett:
Assessing privacy and quality of synthetic health data. AIDR 2019: 8:1-8:4 - [c75]Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li:
Multi-Modal Face Anti-Spoofing Attack Detection Challenge at CVPR2019. CVPR Workshops 2019: 1601-1610 - [c74]Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer:
LEAP nets for power grid perturbations. ESANN 2019 - [c73]Andrew Yale, Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Kristin P. Bennett:
Privacy Preserving Synthetic Health Data. ESANN 2019 - [c72]Balthazar Donon, Benjamin Donnot, Isabelle Guyon, Antoine Marot:
Graph Neural Solver for Power Systems. IJCNN 2019: 1-8 - [c71]Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Júlio C. S. Jacques Júnior, Sergio Escalera, Adrien Pavao, Sébastien Treguer, Wei-Wei Tu, Isabelle Guyon:
Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. NeurIPS (Competition and Demos) 2019: 242-252 - [p11]Isabelle Guyon, Olivier Goudet, Diviyan Kalainathan:
Evaluation Methods of Cause-Effect Pairs. Cause Effect Pairs in Machine Learning 2019: 27-99 - [p10]Olivier Goudet, Diviyan Kalainathan, Michèle Sebag, Isabelle Guyon:
Learning Bivariate Functional Causal Models. Cause Effect Pairs in Machine Learning 2019: 101-153 - [p9]Diviyan Kalainathan, Olivier Goudet, Michèle Sebag, Isabelle Guyon:
Discriminant Learning Machines. Cause Effect Pairs in Machine Learning 2019: 155-189 - [p8]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:
Analysis of the AutoML Challenge Series 2015-2018. Automated Machine Learning 2019: 177-219 - [p7]Isabelle Guyon, Alexander R. Statnikov:
Results of the Cause-Effect Pair Challenge. Cause Effect Pairs in Machine Learning 2019: 237-256 - [e11]Isabelle Guyon, Alexander R. Statnikov, Berna Bakir Batu:
Cause Effect Pairs in Machine Learning. Springer 2019, ISBN 978-3-030-21809-6 [contents] - [i15]Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR abs/1903.05263 (2019) - [i14]Jorge G. Madrid, Hugo Jair Escalante, Eduardo F. Morales, Wei-Wei Tu, Yang Yu, Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag:
Towards AutoML in the presence of Drift: first results. CoRR abs/1907.10772 (2019) - [i13]Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li:
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition. CoRR abs/1907.12193 (2019) - [i12]Benjamin Donnot, Balthazar Donon, Isabelle Guyon, Zhengying Liu, Antoine Marot, Patrick Panciatici, Marc Schoenauer:
LEAP nets for power grid perturbations. CoRR abs/1908.08314 (2019) - [i11]Saloni Dash, Ritik Dutta, Isabelle Guyon, Adrien Pavao, Andrew Yale, Kristin P. Bennett:
Synthetic Event Time Series Health Data Generation. CoRR abs/1911.06411 (2019) - [i10]Antoine Marot, Benjamin Donnot, Camilo Romero, Luca Veyrin-Forrer, Marvin Lerousseau, Balthazar Donon, Isabelle Guyon:
Learning to run a power network challenge for training topology controllers. CoRR abs/1912.04211 (2019) - 2018
- [j26]José García Rodríguez, Sergio Escalera, Alexandra Psarrou, Isabelle Guyon, Andrew Lewis, Juxi Leitner:
Expert systems: Special issue on "Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)". Expert Syst. J. Knowl. Eng. 35(2) (2018) - [j25]Sergio Escalera, Jordi Gonzàlez, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon:
Looking at People Special Issue. Int. J. Comput. Vis. 126(2-4): 141-143 (2018) - [j24]Nihar B. Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, Ulrike von Luxburg:
Design and Analysis of the NIPS 2016 Review Process. J. Mach. Learn. Res. 19: 49:1-49:34 (2018) - [j23]Sergio Escalera, Xavier Baró, Isabelle Guyon, Hugo Jair Escalante, Georgios Tzimiropoulos, Michel F. Valstar, Maja Pantic, Jeffrey F. Cohn, Takeo Kanade:
Guest Editorial: The Computational Face. IEEE Trans. Pattern Anal. Mach. Intell. 40(11): 2541-2545 (2018) - [j22]Sergio Escalera, Xavier Baró, Isabelle Guyon, Hugo Jair Escalante:
Guest Editorial: Apparent Personality Analysis. IEEE Trans. Affect. Comput. 9(3): 299-302 (2018) - [j21]Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier:
Multimodal First Impression Analysis with Deep Residual Networks. IEEE Trans. Affect. Comput. 9(3): 316-329 (2018) - [c70]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:
TrackML: A High Energy Physics Particle Tracking Challenge. eScience 2018: 344 - [c69]Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici:
Fast Power system security analysis with Guided Dropout. ESANN 2018 - [c68]Victor Estrade, Cécile Germain, Isabelle Guyon, David Rousseau:
Systematics aware learning : a case study in high energy physics. ESANN 2018 - [c67]Borja Seijo-Pardo, Amparo Alonso-Betanzos, Kristin P. Bennett, Verónica Bolón-Canedo, Isabelle Guyon, Julie Josse, Mehreen Saeed:
Analysis of imputation bias for feature selection with missing data. ESANN 2018 - [c66]Gabriela Ramírez-de-la-Rosa, Esaú Villatoro, Bogdan Ionescu, Hugo Jair Escalante, Sergio Escalera, Martha A. Larson, Henning Müller, Isabelle Guyon:
Overview of the Multimedia Information Processing for Personality & Social Networks Analysis Contest. CVAUI/IWCF/MIPPSNA@ICPR 2018: 127-139 - [c65]Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici:
Anticipating contingengies in power grids using fast neural net screening. IJCNN 2018: 1-8 - [c64]Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici:
Optimization of computational budget for power system risk assessment. ISGT Europe 2018: 1-6 - [c63]Lisheng Sun-Hosoya, Isabelle Guyon, Michèle Sebag:
ActivMetal: Algorithm Recommendation with Active Meta Learning. IAL@PKDD/ECML 2018: 48-59 - [d7]Andreas Salzburger, Vincenzo Innocente, Jean-Roch Vlimant, David Rousseau, Vladimir V. Gligorov, Laurent Basara, Victor Estrade, Paolo Calafiura, Steven Farell, Heather M. Gray, Tobias Golling, Moritz Kiehn, Sabrina Amrouche, Mikhail Hushchyn, Andrey Ustyuzhanin, Edward Moyse, Cécile Germain, Isabelle Guyon:
TrackML Throughput Phase. Zenodo, 2018
- [d6]Andreas Salzburger, Vincenzo Innocente, Jean-Roch Vlimant, David Rousseau, Vladimir V. Gligorov, Victor Estrade, Laurent Basara, Paolo Calafiura, Steven Farell, Heather M. Gray, Tobias Golling, Moritz Kiehn, Sabrina Amrouche, Andrey Ustyuzhanin, Mikhail Hushchyn, Edward Moyse, Cécile Germain, Isabelle Guyon:
TrackML Particle Tracking Challenge. Zenodo, 2018 - [i9]Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Antoine Marot, Patrick Panciatici:
Fast Power system security analysis with Guided Dropout. CoRR abs/1801.09870 (2018) - [i8]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:
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. CoRR abs/1802.00745 (2018) - [i7]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:
First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis. CoRR abs/1804.08046 (2018) - [i6]Benjamin Donnot, Isabelle Guyon, Antoine Marot, Marc Schoenauer, Patrick Panciatici:
Optimization of computational budget for power system risk assessment. CoRR abs/1805.01174 (2018) - [i5]Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yu-Feng Li, Wei-Wei Tu, Qiang Yang, Yang Yu:
Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR abs/1810.13306 (2018) - 2017
- [j20]José García Rodríguez, Isabelle Guyon, Sergio Escalera, Alexandra Psarrou, Andrew Lewis, Miguel Cazorla:
Editorial: special issue on computational intelligence for vision and robotics. Neural Comput. Appl. 28(5): 853-854 (2017) - [j19]Hugo Jair Escalante, Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Jun Wan:
Principal motion components for one-shot gesture recognition. Pattern Anal. Appl. 20(1): 167-182 (2017) - [c62]Eirikur Agustsson, Radu Timofte, Sergio Escalera, Xavier Baró, Isabelle Guyon, Rasmus Rothe:
Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database. FG 2017: 87-94 - [c61]Maryam Asadi-Aghbolaghi, Albert Clapés, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, Xavier Baró, Isabelle Guyon, Shohreh Kasaei, Sergio Escalera:
A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences. FG 2017: 476-483 - [c60]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:
Visualizing Apparent Personality Analysis with Deep Residual Networks. ICCV Workshops 2017: 3101-3109 - [c59]Jun Wan, Sergio Escalera, Gholamreza Anbarjafari, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, Juri Allik, Jelena Gorbova, Chi Lin, Yiliang Xie:
Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges. ICCV Workshops 2017: 3189-3197 - [c58]Sergio Escalera, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon:
ChaLearn looking at people: A review of events and resources. IJCNN 2017: 1594-1601 - [c57]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:
Design of an explainable machine learning challenge for video interviews. IJCNN 2017: 3688-3695 - [p6]Sergio Escalera, Vassilis Athitsos, Isabelle Guyon:
Challenges in Multi-modal Gesture Recognition. Gesture Recognition 2017: 1-60 - [p5]Maryam Asadi-Aghbolaghi, Albert Clapés, Marco Bellantonio, Hugo Jair Escalante, Víctor Ponce-López, Xavier Baró, Isabelle Guyon, Shohreh Kasaei, Sergio Escalera:
Deep Learning for Action and Gesture Recognition in Image Sequences: A Survey. Gesture Recognition 2017: 539-578 - [e10]Sergio Escalera, Isabelle Guyon, Vassilis Athitsos:
Gesture Recognition. Springer 2017, ISBN 978-3-319-57020-4 [contents] - [e9]Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett:
Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA. 2017 [contents] - [i4]Sergio Escalera, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon:
ChaLearn Looking at People: Events and Resources. CoRR abs/1701.02664 (2017) - [i3]Nihar B. Shah, Behzad Tabibian, Krikamol Muandet, Isabelle Guyon, Ulrike von Luxburg:
Design and Analysis of the NIPS 2016 Review Process. CoRR abs/1708.09794 (2017) - [i2]Benjamin Donnot, Isabelle Guyon, Marc Schoenauer, Patrick Panciatici, Antoine Marot:
Introducing machine learning for power system operation support. CoRR abs/1709.09527 (2017) - 2016
- [j18]Sergio Escalera, Vassilis Athitsos, Isabelle Guyon:
Challenges in multimodal gesture recognition. J. Mach. Learn. Res. 17: 72:1-72:54 (2016) - [c56]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:
ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016. CVPR Workshops 2016: 706-713 - [c55]Jun Wan, Stan Z. Li, Yibing Zhao, Shuai Zhou, Isabelle Guyon, Sergio Escalera:
ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition. CVPR Workshops 2016: 761-769 - [c54]Víctor Ponce-López, Baiyu Chen, Marc Oliu, Ciprian A. Corneanu, Albert Clapés, Isabelle Guyon, Xavier Baró, Hugo Jair Escalante, Sergio Escalera:
ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results. ECCV Workshops (3) 2016: 400-418 - [c53]Baiyu Chen, Sergio Escalera, Isabelle Guyon, Víctor Ponce-López, Nihar B. Shah, Marc Oliu Simon:
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits. ECCV Workshops (3) 2016: 419-432 - [c52]Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau:
How machine learning won the Higgs boson challenge. ESANN 2016 - [c51]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:
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. AutoML@ICML 2016: 21-30 - [c50]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:
ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview. ICPR 2016: 67-73 - [e8]Daniel D. Lee, Masashi Sugiyama, Ulrike von Luxburg, Isabelle Guyon, Roman Garnett:
Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. 2016 [contents] - 2015
- [c49]Xavier Baró, Jordi Gonzàlez, Junior Fabian, Miguel Ángel Bautista, Marc Oliu, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera:
ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition. CVPR Workshops 2015: 1-9 - [c48]Sergio Escalera, Junior Fabian, Pablo Pardo, Xavier Baró, Jordi Gonzàlez, Hugo Jair Escalante, Dusan Misevic, Ulrich Steiner, Isabelle Guyon:
ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results. ICCV Workshops 2015: 243-251 - [c47]Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Pablo Pardo, Junior Fabian, Marc Oliu, Hugo Jair Escalante, Iván Huerta, Isabelle Guyon:
ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognition. IJCNN 2015: 1-8 - [c46]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:
Design of the 2015 ChaLearn AutoML challenge. IJCNN 2015: 1-8 - 2014
- [j17]Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante:
The ChaLearn gesture dataset (CGD 2011). Mach. Vis. Appl. 25(8): 1929-1951 (2014) - [j16]Jun Wan, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante, Qiuqi Ruan, Isabelle Guyon:
CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition. IEEE Trans. Image Process. 23(7): 3152-3165 (2014) - [c45]Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Miguel Ángel Bautista, Meysam Madadi, Miguel Reyes, Víctor Ponce-López, Hugo Jair Escalante, Jamie Shotton, Isabelle Guyon:
ChaLearn Looking at People Challenge 2014: Dataset and Results. ECCV Workshops (1) 2014: 459-473 - [c44]Javier G. Orlandi, Bisakha Ray, Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Mehreen Saeed, Alexander R. Statnikov, Olav Stetter, Jordi Soriano:
First Connectomics Challenge: From Imaging to Connectivity. Neural Connectomics 2014: 1-22 - [c43]Isabelle Guyon, Demian Battaglia, Alice Guyon, Vincent Lemaire, Javier G. Orlandi, Bisakha Ray, Mehreen Saeed, Jordi Soriano, Alexander R. Statnikov, Olav Stetter:
Design of the first neuronal connectomics challenge: From imaging to connectivity. IJCNN 2014: 2600-2607 - [c42]Claire Adam-Bourdarios, Glen Cowan, Cécile Germain, Isabelle Guyon, Balázs Kégl, David Rousseau:
The Higgs boson machine learning challenge. HEPML@NIPS 2014: 19-55 - 2013
- [c41]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:
ChaLearn multi-modal gesture recognition 2013: grand challenge and workshop summary. ICMI 2013: 365-368 - [c40]Sergio Escalera, Jordi Gonzàlez, Xavier Baró, Miguel Reyes, Oscar Lopes, Isabelle Guyon, Vassilis Athitsos, Hugo Jair Escalante:
Multi-modal gesture recognition challenge 2013: dataset and results. ICMI 2013: 445-452 - [i1]Hugo Jair Escalante, Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Jun Wan:
Principal motion components for gesture recognition using a single-example. CoRR abs/1310.4822 (2013) - 2012
- [j15]Isabelle Guyon, Gideon Dror, Vincent Lemaire, Daniel L. Silver, Graham W. Taylor, David W. Aha:
Analysis of the IJCNN 2011 UTL challenge. Neural Networks 32: 174-178 (2012) - [c39]Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Ben Hamner, Hugo Jair Escalante:
ChaLearn gesture challenge: Design and first results. CVPR Workshops 2012: 1-6 - [c38]Isabelle Guyon, Vassilis Athitsos, Pat Jangyodsuk, Hugo Jair Escalante, Ben Hamner:
Results and Analysis of the ChaLearn Gesture Challenge 2012. WDIA 2012: 186-204 - [c37]Daniel L. Silver, Isabelle Guyon, Graham W. Taylor, Gideon Dror, Vincent Lemaire:
ICML2011 Unsupervised and Transfer Learning Workshop. ICML Unsupervised and Transfer Learning 2012: 1-16 - [c36]Ulrike von Luxburg, Robert C. Williamson, Isabelle Guyon:
Clustering: Science or Art? ICML Unsupervised and Transfer Learning 2012: 65-80 - [e7]Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, Daniel L. Silver:
Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011. JMLR Proceedings 27, JMLR.org 2012 [contents] - 2011
- [c35]Isabelle Guyon, Vassilis Athitsos:
Demonstrations and live evaluation for the gesture recognition challenge. ICCV Workshops 2011: 461-462 - [c34]Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha:
Unsupervised and transfer learning challenge. IJCNN 2011: 793-800 - [c33]Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire:
Results of the Active Learning Challenge. Active Learning and Experimental Design @ AISTATS 2011: 19-45 - [c32]Isabelle Guyon, Alexander R. Statnikov, Constantin F. Aliferis:
Time Series Analysis with the Causality Workbench. NIPS Mini-Symposium on Causality in Time Series 2011: 115-139 - [e6]Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire, Alexander R. Statnikov:
Active Learning and Experimental Design workshop, In conjunction with AISTATS 2010, Sardinia, Italy, May 16, 2010. JMLR Proceedings 16, JMLR.org 2011 [contents] - [e5]Florin Popescu, Isabelle Guyon:
Neural Information Processing Systems (NIPS) Mini-Symposium on Causality in Time Series, Vancouver, Canada, December 10, 2009. JMLR Proceedings 12, JMLR.org 2011 [contents] - 2010
- [j14]Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
Model Selection: Beyond the Bayesian/Frequentist Divide. J. Mach. Learn. Res. 11: 61-87 (2010) - [c31]Isabelle Guyon, Jean-Philippe Pellet, Alexander R. Statnikov:
Development Projects for the CausalityWorkbench. AAAI Spring Symposium: Artificial Intelligence for Development 2010 - [c30]Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire:
Design and analysis of the WCCI 2010 active learning challenge. IJCNN 2010: 1-8 - [c29]Isabelle Guyon, Dominik Janzing, Bernhard Schölkopf:
Causality: Objectives and Assessment. NIPS Causality: Objectives and Assessment 2010: 1-42 - [e4]Isabelle Guyon, Dominik Janzing, Bernhard Schölkopf:
Causality: Objectives and Assessment (NIPS 2008 Workshop), Whistler, Canada, December 12, 2008. JMLR Proceedings 6, JMLR.org 2010 [contents]
2000 – 2009
- 2009
- [j13]Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel:
Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database. SIGKDD Explor. 11(2): 68-76 (2009) - [c28]Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel:
Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database. KDD Cup 2009: 1-22 - [e3]Gideon Dror, Marc Boullé, Isabelle Guyon, Vincent Lemaire, David Vogel:
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009. JMLR Proceedings 7, JMLR.org 2009 [contents] - 2008
- [j12]Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. Neural Networks 21(2-3): 544-550 (2008) - [c27]Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov:
Design and Analysis of the Causation and Prediction Challenge. WCCI Causation and Prediction Challenge 2008: 1-33 - [e2]Isabelle Guyon, Constantin F. Aliferis, Gregory F. Cooper, André Elisseeff, Jean-Philippe Pellet, Peter Spirtes, Alexander R. Statnikov:
Causation and Prediction Challenge at WCCI 2008, Hong Kong, June 1-6, 2008. JMLR Proceedings 3, JMLR.org 2008 [contents] - [d5]Isabelle Guyon:
Madelon. UCI Machine Learning Repository, 2008 - [d4]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Arcene. UCI Machine Learning Repository, 2008 - [d3]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Dorothea. UCI Machine Learning Repository, 2008 - [d2]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Gisette. UCI Machine Learning Repository, 2008 - [d1]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Dexter. UCI Machine Learning Repository, 2008 - 2007
- [j11]Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick A. Pletscher, Georg Schneider, Markus Uhr:
Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark. Pattern Recognit. Lett. 28(12): 1438-1444 (2007) - [c26]Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley:
Agnostic Learning vs. Prior Knowledge Challenge. IJCNN 2007: 829-834 - [c25]Isabelle Guyon:
Practical Feature Selection: from Correlation to Causality. NATO ASI Mining Massive Data Sets for Security 2007: 27-43 - 2006
- [c24]Isabelle Guyon, Amir Reza Saffari Azar Alamdari, Gideon Dror, Joachim M. Buhmann:
PerformancePrediction Challenge. IJCNN 2006: 1649-1656 - [p4]Isabelle Guyon, André Elisseeff:
An Introduction to Feature Extraction. Feature Extraction 2006: 1-25 - [p3]Gérard Dreyfus, Isabelle Guyon:
Assessment Methods. Feature Extraction 2006: 65-88 - [p2]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Design and Analysis of the NIPS2003 Challenge. Feature Extraction 2006: 237-263 - [e1]Isabelle Guyon, Masoud Nikravesh, Steve R. Gunn, Lotfi A. Zadeh:
Feature Extraction - Foundations and Applications. Studies in Fuzziness and Soft Computing 207, Springer 2006, ISBN 978-3-540-35487-1 [contents] - 2004
- [c23]Katrin Franke, Isabelle Guyon, Lambert Schomaker, Louis Vuurpijl:
The WANDAML markup language for digital document annotation. IWFHR 2004: 563-568 - [c22]Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror:
Result Analysis of the NIPS 2003 Feature Selection Challenge. NIPS 2004: 545-552 - 2003
- [j10]Isabelle Guyon, André Elisseeff:
An Introduction to Variable and Feature Selection. J. Mach. Learn. Res. 3: 1157-1182 (2003) - [c21]Katrin Franke, Lambert Schomaker, Christian Veenhuis, C. Taubenheim, Isabelle Guyon, Louis Vuurpijl, Merijn van Erp, G. Zwarts:
WANDA: A generic Framework applied in Forensic Handwriting Analysis and Writer Identification. HIS 2003: 927-938 - 2002
- [j9]Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik:
Gene Selection for Cancer Classification using Support Vector Machines. Mach. Learn. 46(1-3): 389-422 (2002) - [c20]Asa Ben-Hur, André Elisseeff, Isabelle Guyon:
A Stability Based Method for Discovering Structure in Clustered Data. Pacific Symposium on Biocomputing 2002: 6-17
1990 – 1999
- 1998
- [j8]Isabelle Guyon:
Pattern classification - By J. Schürmann. Wiley-Interscience, ISBN: 0-471-13534-8. Pattern Anal. Appl. 1(2): 142-143 (1998) - [j7]Isabelle Guyon, John Makhoul, Richard M. Schwartz, Vladimir Vapnik:
What Size Test Set Gives Good Error Rate Estimates?. IEEE Trans. Pattern Anal. Mach. Intell. 20(1): 52-64 (1998) - 1996
- [p1]Isabelle Guyon, Nada Matic, Vladimir Vapnik:
Discovering Informative Patterns and Data Cleaning. Advances in Knowledge Discovery and Data Mining 1996: 181-203 - 1995
- [j6]Markus Schenkel, Isabelle Guyon, Donnie Henderson:
On-line cursive script recognition using time-delay neural networks and hidden Markov models. Mach. Vis. Appl. 8(4): 215-223 (1995) - [c19]Isabelle Guyon, Fernando Pereira:
Design of a linguistic postprocessor using variable memory length Markov models. ICDAR 1995: 454-457 - 1994
- [j5]H. Weissman, Markus Schenkel, Isabelle Guyon, C. Nohl, Donnie Henderson:
Recognition-based segmentation of on-line run-on handprinted words: Input vs. output segmentation. Pattern Recognit. 27(3): 405-420 (1994) - [c18]Markus Schenkel, Isabelle Guyon, Don Henderson:
On-line cursive script recognition using time delay neural networks and hidden Markov models. ICASSP (2) 1994: 637-640 - [c17]Isabelle Guyon, Lambert Schomaker, Rejean Plamondon, Mark Liberman, Stan Janet:
UNIPEN project of on-line data exchange and recognizer benchmarks. ICPR (2) 1994: 29-33 - [c16]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:
Comparison of classifier methods: a case study in handwritten digit recognition. ICPR (2) 1994: 77-82 - [c15]Isabelle Guyon, Nada Matic, Vladimir Vapnik:
Discovering Informative Patterns and Data Cleaning. KDD Workshop 1994: 145-156 - 1993
- [j4]Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, Roopak Shah:
Signature Verification Using A "Siamese" Time Delay Neural Network. Int. J. Pattern Recognit. Artif. Intell. 7(4): 669-688 (1993) - [c14]Nada Matic, Isabelle Guyon, John S. Denker, Vladimir Vapnik:
Writer-adaptation for on-line handwritten character recognition. ICDAR 1993: 187-191 - [c13]Jane Bromley, Isabelle Guyon, Yann LeCun, Eduard Säckinger, Roopak Shah:
Signature Verification Using a Siamese Time Delay Neural Network. NIPS 1993: 737-744 - 1992
- [c12]Bernhard E. Boser, Isabelle Guyon, Vladimir Vapnik:
A Training Algorithm for Optimal Margin Classifiers. COLT 1992: 144-152 - [c11]Nada Matic, Isabelle Guyon, Léon Bottou, John S. Denker, Vladimir Vapnik:
Computer aided cleaning of large databases for character recognition. ICPR (2) 1992: 330-333 - [c10]Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla:
Capacity control in linear classifiers for pattern recognition. ICPR (2) 1992: 385-388 - [c9]Isabelle Guyon, Bernhard E. Boser, Vladimir Vapnik:
Automatic Capacity Tuning of Very Large VC-Dimension Classifiers. NIPS 1992: 147-155 - [c8]Markus Schenkel, H. Weissman, Isabelle Guyon, C. Nohl, Donnie Henderson:
Recognition-Based Segmentation of On-Line Hand-Printed Words. NIPS 1992: 723-730 - 1991
- [j3]Isabelle Guyon:
Applications of Neural Networks to Character Recognition. Int. J. Pattern Recognit. Artif. Intell. 5(1-2): 353-382 (1991) - [j2]Isabelle Guyon, P. Albrecht, Yann LeCun, John S. Denker, Wayne E. Hubbard:
Design of a neural network character recognizer for a touch terminal. Pattern Recognit. 24(2): 105-119 (1991) - [c7]Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla:
Structural Risk Minimization for Character Recognition. NIPS 1991: 471-479 - 1990
- [c6]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:
Hardware requirements for neural-net optical character recognition. IJCNN 1990: 855-861 - [c5]Rodolfo A. Milito, Isabelle Guyon, Sara A. Solla:
Neural Network Implementation of Admission Control. NIPS 1990: 493-499
1980 – 1989
- 1989
- [j1]Yann LeCun, Lawrence D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Isabelle Guyon, Don Henderson, Richard E. Howard, Wayne E. Hubbard:
Handwritten digit recognition: applications of neural network chips and automatic learning. IEEE Commun. Mag. 27(11): 41-46 (1989) - [c4]Yann LeCun, Larry D. Jackel, Bernhard E. Boser, John S. Denker, Hans Peter Graf, Isabelle Guyon, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard:
Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning. NATO Neurocomputing 1989: 303-318 - 1988
- [c3]Lawrence D. Jackel, Hans Peter Graf, Wayne E. Hubbard, John S. Denker, Don Henderson, Isabelle Guyon:
An application of neural net chips: handwritten digit recognition. ICNN 1988: 107-115 - [c2]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:
Neural Network Recognizer for Hand-Written Zip Code Digits. NIPS 1988: 323-331 - 1987
- [c1]Gérard Dreyfus, Isabelle Guyon, Jean-Pierre Nadal, Léon Personnaz:
High Order Neural Networks for Efficient Associative Memory Design. NIPS 1987: 233-241
Coauthor Index
Hugo Jair Escalante
aka: Hugo Jair Escalante Balderas
aka: Hugo Jair Escalante Balderas
[c110] [i44] [i43] [i42] [j43] [i41] [j38] [j37] [j36] [j35] [c105] [c101] [i36] [i31] [i30] [i24] [j34] [j32] [c96] [c95] [c94] [c93] [c91] [e12] [i20] [i18] [j29] [j28] [c79] [c75] [c71] [p8] [i13] [j26] [j25] [j23] [j22] [j21] [c66] [i8] [i7] [j20] [c62] [c61] [c60] [c59] [c58] [c57] [p6] [p5] [e10] [i4] [j18] [c56] [c55] [c54] [c53] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c41] [c40]
Adrien Pavão
aka: Adrien Pavao
aka: Adrien Pavao
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