Sparse Modeling: Theory, Algorithms, and Applications von Rish, Irina

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Beyond performance: the role of task demand, effort, and individual differences in ab initio pilots von Darvishi-Bayazi, Mohammad-Javad, Law, Andrew, Romero, Sergio Mejia, Jennings, Sion, Rish, Irina, Faubert, Jocelyn

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Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rate von Polosecki, Pablo, Castro, Eduardo, Rish, Irina, Pustina, Dorian, Warner, John H., Wood, Andrew, Sampaio, Cristina, Cecchi, Guillermo A.

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Generative Models of Brain Dynamics von Ramezanian-Panahi, Mahta, Abrevaya, Germán, Gagnon-Audet, Jean-Christophe, Voleti, Vikram, Rish, Irina, Dumas, Guillaume

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Towards Continual Reinforcement Learning: A Review and Perspectives von Khetarpal, Khimya, Riemer, Matthew, Rish, Irina, Precup, Doina

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Predictive dynamics of human pain perception von Cecchi, Guillermo A, Huang, Lejian, Hashmi, Javeria Ali, Baliki, Marwan, Centeno, María V, Rish, Irina, Apkarian, A Vania

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Variable-Selection Emerges on Top in Empirical Comparison of Whole-Genome Complex-Trait Prediction Methods von Haws, David C, Rish, Irina, Teyssedre, Simon, He, Dan, Lozano, Aurelie C, Kambadur, Prabhanjan, Karaman, Zivan, Parida, Laxmi

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Schizophrenia as a network disease: disruption of emergent brain function in patients with auditory hallucinations von Rish, Irina, Cecchi, Guillermo, Thyreau, Benjamin, Thirion, Bertrand, Plaze, Marion, Paillere-Martinot, Marie Laure, Martelli, Catherine, Martinot, Jean-Luc, Poline, Jean-Baptiste

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Machine Learning and Interpretation in Neuroimaging: 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers von Rish, Irina, Langs, Georg, Wehbe, Leila, Cecchi, Guillermo, Chang, Kai-min Kevin, Murphy, Brian

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Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease von Castro, Eduardo, Polosecki, Pablo, Rish, Irina, Pustina, Dorian, Warner, John H., Wood, Andrew, Sampaio, Cristina, Cecchi, Guillermo A.

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Estimating individual minimum calibration for deep-learning with predictive performance recovery: An example case of gait surface classification from wearable sensor gait data von Lam, Guillaume, Rish, Irina, Dixon, Philippe C.

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When Machines Outshine Humans in Object Recognition, Benchmarking Dilemma von Darvishi Bayazi, Mohammad Javad, Arefin, Md Rifat, Faubert, Jocelyn, rish, Irina

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Neural efficiency in an aviation task with different levels of difficulty: Assessing different biometrics during a performance task von Darvishi Bayazi, Mohammad Javad, Law, Andrew, Mejia Romero, Sergio, Jennings, Sion, Rish, Irina, Faubert, Jocelyn

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Mini-buckets: A general scheme for bounded inference von Dechter, Rina, Rish, Irina

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Bandit Models of Human Behavior: Reward Processing in Mental Disorders von Bouneffouf, Djallel, Rish, Irina, Cecchi, Guillermo A.

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Prediction and interpretation of distributed neural activity with sparse models von Carroll, Melissa K., Cecchi, Guillermo A., Rish, Irina, Garg, Rahul, Rao, A. Ravishankar

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Functional Network Disruptions in Schizophrenia von Rish, Irina, Cecchi, Guillermo A.

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Amplifying pathological detection in EEG signaling pathways through cross-dataset transfer learning von Darvishi-Bayazi, Mohammad-Javad, Ghaemi, Mohammad Sajjad, Lesort, Timothee, Arefin, Md. Rifat, Faubert, Jocelyn, Rish, Irina

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MINT: Mutual Information Based Transductive Feature Selection for Genetic Trait Prediction von Dan He, Rish, Irina, Haws, David, Parida, Laxmi

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Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis von Vianna, Pedro, Calce, Sara-Ivana, Boustros, Pamela, Larocque-Rigney, Cassandra, Patry-Beaudoin, Laurent, Luo, Yi Hui, Aslan, Emre, Marinos, John, Alamri, Talal M., Vu, Kim-Nhien, Murphy-Lavallée, Jessica, Billiard, Jean-Sébastien, Montagnon, Emmanuel, Li, Hongliang, Kadoury, Samuel, Nguyen, Bich N., Gauthier, Shanel, Therien, Benjamin, Rish, Irina, Belilovsky, Eugene, Wolf, Guy, Chassé, Michaël, Cloutier, Guy, Tang, An

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