Search Results - "Guyon, Isabelle"

The Problem of Fairness in Synthetic Healthcare Data by Bhanot, Karan, Qi, Miao, Erickson, John S., Guyon, Isabelle, Bennett, Kristin P.

“…Access to healthcare data such as electronic health records (EHR) is often restricted by laws established to protect patient privacy. These restrictions hinder…”
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Gene Selection for Cancer Classification using Support Vector Machines by Guyon, Isabelle, Weston, Jason, Barnhill, Stephen, Vapnik, Vladimir

“…DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active, hyperactive or silent in…”
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DECONbench: a benchmarking platform dedicated to deconvolution methods for tumor heterogeneity quantification by Decamps, Clémentine, Arnaud, Alexis, Petitprez, Florent, Ayadi, Mira, Baurès, Aurélia, Armenoult, Lucile, Alcala, N., Arnaud, A., Avila Cobos, F., Batista, Luciana, Batto, A.-F., Blum, Y., Chuffart, F., Cros, J., Decamps, C., Dirian, L., Doncevic, D., Durif, G., Bahena Hernandez, S. Y., Jakobi, M., Jardillier, R., Jeanmougin, M., Jedynak, P., Jumentier, B., Kakoichankava, A., Kondili, Maria, Liu, J., Maie, T., Marécaille, J., Merlevede, J., Meylan, M., Nazarov, P., Newar, K., Nyrén, K., Petitprez, F., Novella Rausell, C., Richard, M., Scherer, M., Sompairac, N., Waury, K., Xie, T., Zacharouli, M.-A., Escalera, Sergio, Guyon, Isabelle, Nicolle, Rémy, Tomasini, Richard, de Reyniès, Aurélien, Cros, Jérôme, Blum, Yuna, Richard, Magali

“…Abstract Background Quantification of tumor heterogeneity is essential to better understand cancer progression and to adapt therapeutic treatments to patient…”
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ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results by Escalera, Sergio, Fabian, Junior, Pardo, Pablo, Baro, Xavier, Gonzalez, Jordi, Escalante, Hugo J., Misevic, Dusan, Steiner, Ulrich, Guyon, Isabelle

“…Following previous series on Looking at People (LAP) competitions [14, 13, 11, 12, 2], in 2015 ChaLearn ran two new competitions within the field of Looking at…”
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LTU Attacker for Membership Inference by Pedersen, Joseph, Muñoz-Gómez, Rafael, Huang, Jiangnan, Sun, Haozhe, Tu, Wei-Wei, Guyon, Isabelle

“…We address the problem of defending predictive models, such as machine learning classifiers (Defender models), against membership inference attacks, in both…”
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Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020 by Xu, Zhen, Wei, Lanning, Zhao, Huan, Ying, Rex, Yao, Quanming, Tu, Wei-Wei, Guyon, Isabelle

“…Graph structured data is ubiquitous in daily life and scientific areas and has attracted increasing attention. Graph Neural Networks (GNNs) have been proved to…”
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Systematic aware learning by Estrade, Victor, Germain, Cécile, Guyon, Isabelle, Rousseau, David

“…Experimental science often has to cope with systematic errors that coherently bias data. We analyze this issue on the analysis of data produced by experiments…”
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A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences by Asadi-Aghbolaghi, Maryam, Clapes, Albert, Bellantonio, Marco, Escalante, Hugo Jair, Ponce-Lopez, Victor, Baro, Xavier, Guyon, Isabelle, Kasaei, Shohreh, Escalera, Sergio

“…The interest in action and gesture recognition has grown considerably in the last years. In this paper, we present a survey on current deep learning…”
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The TrackML high-energy physics tracking challenge on Kaggle by Kiehn, Moritz, Amrouche, Sabrina, Calafiura, Paolo, Estrade, Victor, Farrell, Steven, Germain, Cécile, Gligorov, Vava, Golling, Tobias, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Moyse, Edward, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrey, Vlimant, Jean-Roch, Yilnaz, Yetkin

“…The High-Luminosity LHC (HL-LHC) is expected to reach unprecedented collision intensities, which in turn will greatly increase the complexity of tracking…”
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ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition by Jun Wan, Li, Stan Z., Yibing Zhao, Shuai Zhou, Guyon, Isabelle, Escalera, Sergio

“…In this paper, we present two large video multi-modal datasets for RGB and RGB-D gesture recognition: the ChaLearn LAP RGB-D Isolated Gesture Dataset (IsoGD)…”
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Track reconstruction at LHC as a collaborative data challenge use case with RAMP by Amrouche, Sabrina, Braun, Nils, Calafiura, Paolo, Farrell, Steven, Gemmler, Jochen, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Kégl, Balázs, Neuhaus, Sara, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrei, Vlimant, Jean-Roch, Wessel, Christian, Yilmaz, Yetkin

“…Charged particle track reconstruction is a major component of data-processing in high-energy physics experiments such as those at the Large Hadron Collider…”
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Generation and evaluation of privacy preserving synthetic health data by Yale, Andrew, Dash, Saloni, Dutta, Ritik, Guyon, Isabelle, Pavao, Adrien, Bennett, Kristin P.

“…We develop metrics for measuring the quality of synthetic health data for both education and research. We use novel and existing metrics to capture a synthetic…”
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Neural networks for power flow: Graph neural solver by Donon, Balthazar, Clément, Rémy, Donnot, Benjamin, Marot, Antoine, Guyon, Isabelle, Schoenauer, Marc

“…•Graph neural networks to solve AC power flow.•Our graph neural solver uses a novel graph neural network architecture.•Training is performed by minimizing the…”
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Learning to run a power network challenge for training topology controllers by Marot, Antoine, Donnot, Benjamin, Romero, Camilo, Donon, Balthazar, Lerousseau, Marvin, Veyrin-Forrer, Luca, Guyon, Isabelle

“…•it presents the L2RPN challenge, a competition in which players have to design strategies to optimize the topology of a power systems network,•it details the…”
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The ChaLearn gesture dataset (CGD 2011) by Guyon, Isabelle, Athitsos, Vassilis, Jangyodsuk, Pat, Escalante, Hugo Jair

“…This paper describes the data used in the ChaLearn gesture challenges that took place in 2011/2012, whose results were discussed at the CVPR 2012 and ICPR 2012…”
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Meta-learning from learning curves for budget-limited algorithm selection by Nguyen, Manh Hung, Sun Hosoya, Lisheng, Guyon, Isabelle

“…Training a large set of machine learning algorithms to convergence in order to select the best-performing algorithm for a dataset is computationally wasteful…”
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Investigating synthetic medical time-series resemblance by Bhanot, Karan, Pedersen, Joseph, Guyon, Isabelle, Bennett, Kristin P.

“…Access to private medical data is restricted due to privacy laws, hindering research and real-world use. Synthetic data generation provides a viable solution…”
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AutoDEUQ: Automated Deep Ensemble with Uncertainty Quantification by Egele, Romain, Maulik, Romit, Raghavan, Krishnan, Lusch, Bethany, Guyon, Isabelle, Balaprakash, Prasanna

“…Deep neural networks are powerful predictors for a variety of tasks. However, they do not capture uncertainty directly. Using neural network ensembles to…”
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ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition by Wan, Jun, Lin, Chi, Wen, Longyin, Li, Yunan, Miao, Qiguang, Escalera, Sergio, Anbarjafari, Gholamreza, Guyon, Isabelle, Guo, Guodong, Li, Stan Z.

“…The ChaLearn large-scale gesture recognition challenge has run twice in two workshops in conjunction with the International Conference on Pattern Recognition…”
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Generation and Evaluation of Privacy Preserving Synthetic Health Data by Yale, Andrew, Dash, Saloni, Dutta, Ritik, Guyon, Isabelle, Pavao, Adrien, Bennett, Kristin P

“…We develop metrics for measuring the quality of synthetic health data for both education and research. We use novel and existing metrics to capture a synthetic…”
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