| Learning optimal Bayesian networks: A shortest path perspective C Yuan, B Malone Journal of Artificial Intelligence Research 48, 23-65, 2013 | 134 | 2013 |
| An importance sampling algorithm based on evidence pre-propagation C Yuan, MJ Druzdzel Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2003 | 115* | 2003 |
| Learning optimal Bayesian networks using A* search C Yuan, B Malone, X Wu Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 114 | 2011 |
| Importance sampling algorithms for Bayesian networks: Principles and performance C Yuan, MJ Druzdzel Mathematical and Computer Modelling 43 (9-10), 1189-1207, 2006 | 84 | 2006 |
| Empirical evaluation of scoring functions for Bayesian network model selection Z Liu, B Malone, C Yuan BMC bioinformatics 13 (15), 1-16, 2012 | 74 | 2012 |
| Most relevant explanation in Bayesian networks C Yuan, H Lim, TC Lu Journal of Artificial Intelligence Research 42, 309-352, 2011 | 55 | 2011 |
| Tightening bounds for Bayesian network structure learning X Fan, C Yuan, B Malone Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 52 | 2014 |
| An improved lower bound for bayesian network structure learning X Fan, C Yuan Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 50 | 2015 |
| Finding Optimal Bayesian Network Structures with Constraints Learned from Data X Fan, B Malone, C Yuan | 49 | 2014 |
| Annealed map C Yuan, TC Lu, MJ Druzdzel arXiv preprint arXiv:1207.4153, 2012 | 49 | 2012 |
| An improved admissible heuristic for learning optimal Bayesian networks C Yuan, B Malone arXiv preprint arXiv:1210.4913, 2012 | 46 | 2012 |
| Improving the Scalability of Optimal Bayesian Network Learning with Frontier Breadth-First Branch and Bound Search B Malone, C Yuan, E Hansen, S Bridges Conference on Uncertainty in Artificial Intelligence, 479-488, 2011 | 40* | 2011 |
| Memory-efficient dynamic programming for learning optimal Bayesian networks B Malone, C Yuan, E Hansen Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011 | 34 | 2011 |
| Efficient computation of jointree bounds for systematic MAP search C Yuan, EA Hansen Twenty-First International Joint Conference on Artificial Intelligence, 2009 | 29 | 2009 |
| Hick–Hyman law is mediated by the cognitive control network in the brain T Wu, AJ Dufford, LJ Egan, MA Mackie, C Chen, C Yuan, C Chen, X Li, ... Cerebral Cortex 28 (7), 2267-2282, 2018 | 28 | 2018 |
| Solving multistage influence diagrams using branch-and-bound search C Yuan, X Wu, EA Hansen arXiv preprint arXiv:1203.3531, 2012 | 28 | 2012 |
| Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks B Malone, C Yuan The 29th Conference on Uncertainty in Artificial Intelligence (UAI-13), 2013 | 26 | 2013 |
| Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. X Sun, MJ Druzdzel, C Yuan IJCAI, 2385-2390, 2007 | 24 | 2007 |
| Anterior insular cortex is a bottleneck of cognitive control T Wu, X Wang, Q Wu, A Spagna, J Yang, C Yuan, Y Wu, Z Gao, PR Hof, ... NeuroImage 195, 490-504, 2019 | 23 | 2019 |
| Most relevant explanation: Properties, algorithms, and evaluations C Yuan, X Liu, TC Lu, H Lim arXiv preprint arXiv:1205.2601, 2012 | 22 | 2012 |
Marek J. DruzdzelBialystok University of TechnologyVerified email at pb.edu.pl
