Downscaling of daily rainfall occurrence over northeast Brazil using a hidden Markov model AW Robertson, S Kirshner, P Smyth Journal of climate 17 (22), 4407-4424, 2004 | 247 | 2004 |
Subseasonal‐to‐interdecadal variability of the Australian monsoon over North Queensland AW Robertson, S Kirshner, P Smyth, SP Charles, BC Bates Quarterly Journal of the Royal Meteorological Society 132 (615), 519-542, 2006 | 86 | 2006 |
Conditional Chow-Liu tree structures for modeling discrete-valued vector time series S Kirshner, P Smyth, AW Robertson Proceedings of the 20th conference on Uncertainty in artificial intelligence …, 2004 | 78* | 2004 |
Modeling of multivariate time series using hidden Markov models S Kirshner University of California, Irvine, 2005 | 76 | 2005 |
Learning with tree-averaged densities and distributions S Kirshner Neural Information Processing Systems (NIPS), 2007 | 75 | 2007 |
Hidden Markov models for modeling daily rainfall occurrence over Brazil AW Robertson, S Kirshner, P Smyth Technical Report UCI-ICS, 3-27, 2003 | 59 | 2003 |
Graphical models for statistical inference and data assimilation AT Ihler, S Kirshner, M Ghil, AW Robertson, P Smyth Physica D: Nonlinear Phenomena 230 (1-2), 72-87, 2007 | 56 | 2007 |
Probabilistic Assessment of Drought Characteristics Using Hidden Markov Model G Mallya, S Tripathi, S Kirshner, RS Govindaraju Journal of Hydrologic Engineering 18 (7), 834-845, 2012 | 52 | 2012 |
Analysis of Indian monsoon daily rainfall on subseasonal to multidecadal time‐scales using a hidden Markov model AM Greene, AW Robertson, S Kirshner Quarterly Journal of the Royal Meteorological Society 134 (633), 875-887, 2008 | 49 | 2008 |
Daily rainfall projections from general circulation models with a downscaling nonhomogeneous hidden Markov model (NHMM) for south‐eastern Australia G Fu, SP Charles, S Kirshner Hydrological Processes 27 (25), 3663-3673, 2013 | 45 | 2013 |
Tied Kronecker product graph models to capture variance in network populations S Moreno, S Kirshner, J Neville, SVN Vishwanathan Communication, Control, and Computing (Allerton), 2010 48th Annual Allerton …, 2010 | 43 | 2010 |
Modelling runoff with statistically downscaled daily site, gridded and catchment rainfall series G Fu, SP Charles, FHS Chiew, J Teng, H Zheng, AJ Frost, W Liu, ... Journal of Hydrology 492, 254-265, 2013 | 37 | 2013 |
ICA and ISA using Schweizer-Wolff measure of dependence S Kirshner, B Póczos Proceedings of the 25th international conference on Machine learning, 464-471, 2008 | 32 | 2008 |
Adaptivity in agent-based routing for data networks DH Wolpert, S Kirshner, CJ Merz, K Tumer arXiv preprint cs/9912011, 1999 | 29 | 1999 |
Learning Mixed Kronecker Product Graph Models with Simulated Method of Moments S Moreno, J Neville, S Kirshner 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013 | 22 | 2013 |
MSURU: Large Scale E-commerce Image Classification with Weakly Supervised Search Data Y Tang, F Borisyuk, S Malreddy, Y Li, Y Liu, S Kirshner Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 21 | 2019 |
REGO: Rank-based estimation of Rényi information using Euclidean graph optimization B Póczos, S Kirshner, C Szepesvári AISTATS, 2010 | 21 | 2010 |
Tied Kronecker Product Graph Models to Capture Variance in Network Populations S Moreno, J Neville, S Kirshner ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (3), 35, 2018 | 16 | 2018 |
A Scalable Method for Exact Sampling from Kronecker Family Models S Moreno, JJ Pfeiffer III, J Neville, S Kirshner International Conference on Data Mining (ICDM), 2014 | 15 | 2014 |
Infinite mixtures of trees S Kirshner, P Smyth Proceedings of the 24th international conference on Machine learning, 417-423, 2007 | 14 | 2007 |