Two-person interaction detection using body-pose features and multiple instance learning K Yun, J Honorio, D Chattopadhyay, TL Berg, D Samaras 2012 IEEE computer society conference on computer vision and pattern …, 2012 | 564 | 2012 |
Anterior cingulate cortex hypoactivations to an emotionally salient task in cocaine addiction RZ Goldstein, N Alia-Klein, D Tomasi, J Honorio, T Maloney, PA Woicik, ... Proceedings of the National Academy of Sciences 106 (23), 9453-9458, 2009 | 203 | 2009 |
Oral methylphenidate normalizes cingulate activity in cocaine addiction during a salient cognitive task RZ Goldstein, PA Woicik, T Maloney, D Tomasi, N Alia-Klein, J Shan, ... Proceedings of the National Academy of Sciences 107 (38), 16667-16672, 2010 | 126 | 2010 |
Disrupted functional connectivity with dopaminergic midbrain in cocaine abusers D Tomasi, ND Volkow, R Wang, J Honorio, T Maloney, N Alia-Klein, ... PloS one 5 (5), e10815, 2010 | 124 | 2010 |
Dopaminergic response to drug words in cocaine addiction RZ Goldstein, D Tomasi, N Alia-Klein, J Honorio, T Maloney, PA Woicik, ... The Journal of Neuroscience 29 (18), 6001-6006, 2009 | 104 | 2009 |
Multi-task learning of Gaussian graphical models J Honorio, D Samaras 2010 International Conference on Machine Learning (ICML), 2010 | 91 | 2010 |
Methylphenidate enhances executive function and optimizes prefrontal function in both health and cocaine addiction SJ Moeller, J Honorio, D Tomasi, MA Parvaz, PA Woicik, ND Volkow, ... Cerebral cortex 24 (3), 643-653, 2014 | 77 | 2014 |
Dopaminergic involvement during mental fatigue in health and cocaine addiction SJ Moeller, D Tomasi, J Honorio, ND Volkow, RZ Goldstein Translational psychiatry 2 (10), e176-e176, 2012 | 68 | 2012 |
Privsyn: Differentially private data synthesis Z Zhang, T Wang, J Honorio, N Li, M Backes, S He, J Chen, Y Zhang | 58 | 2021 |
Learning linear structural equation models in polynomial time and sample complexity A Ghoshal, J Honorio 2018 Artificial Intelligence and Statistics (AISTATS), 2018 | 56 | 2018 |
Learning identifiable gaussian bayesian networks in polynomial time and sample complexity A Ghoshal, J Honorio Advances in Neural Information Processing Systems 30, 2017 | 51 | 2017 |
Enhanced midbrain response at 6‐month follow‐up in cocaine addiction, association with reduced drug‐related choice SJ Moeller, D Tomasi, PA Woicik, T Maloney, N Alia‐Klein, J Honorio, ... Addiction Biology 17 (6), 1013-1025, 2012 | 49 | 2012 |
Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data J Honorio, L Ortiz Journal of Machine Learning Research. (accepted, pending publication.), 2012 | 48 | 2012 |
Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees J Honorio, T Jaakkola Proceedings of the Seventeenth International Conference on Artificial …, 2014 | 41 | 2014 |
Sparse and locally constant Gaussian graphical models J Honorio, D Samaras, N Paragios, R Goldstein, LE Ortiz Advances in Neural Information Processing Systems 22, 2009 | 37 | 2009 |
Can a single brain region predict a disorder? J Honorio, D Tomasi, RZ Goldstein, HC Leung, D Samaras IEEE Transactions on Medical Imaging 31 (11), 2062-2072, 2012 | 31 | 2012 |
Variable selection for Gaussian graphical models J Honorio, D Samaras, I Rish, G Cecchi Artificial Intelligence and Statistics, 538-546, 2012 | 28 | 2012 |
Integration of principal-component-analysis and streamline information for the history matching of channelized reservoirs C Chen, G Gao, J Honorio, P Gelderblom, E Jimenez, T Jaakkola SPE Annual Technical Conference and Exhibition, 2014 | 27 | 2014 |
Information-theoretic limits of Bayesian network structure learning A Ghoshal, J Honorio 2017 Artificial Intelligence and Statistics (AISTATS), 2017 | 25 | 2017 |
Inverse Covariance Estimation for High-Dimensional Data in Linear Time and Space: Spectral Methods for Riccati and Sparse Models J Honorio, TS Jaakkola Uncertainty in Artificial Intelligence 2013, 2013 | 25 | 2013 |