| Solving Influence Diagrams with Simple Propagation. | 0 | 0.34 | 2019 |
| Exploiting Symmetry of Independence in d-Separation. | 0 | 0.34 | 2019 |
| On the Tree Structure of Deep Convolutional Sum-Product Networks. | 0 | 0.34 | 2019 |
| Deep Convolutional Sum-Product Networks | 0 | 0.34 | 2019 |
| An empirical study of Bayesian network inference with simple propagation. | 0 | 0.34 | 2018 |
| An empirical study of testing independencies in Bayesian networks using rp-separation. | 0 | 0.34 | 2018 |
| Simple Propagation with Arc-Reversal in Bayesian Networks. | 0 | 0.34 | 2018 |
| An Empirical Study of Methods for SPN Learning and Inference. | 0 | 0.34 | 2018 |
| On Darwinian Networks. | 0 | 0.34 | 2017 |
| On Learning The Structure Of Sum-Product Networks | 0 | 0.34 | 2017 |
| On Converting Sum-Product Networks into Bayesian Networks. | 0 | 0.34 | 2017 |
| On Finding Relevant Variables in Discrete Bayesian Network Inference. | 0 | 0.34 | 2017 |
| Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks. | 0 | 0.34 | 2017 |
| Testing Independencies in Bayesian Networks with i-Separation. | 2 | 0.44 | 2016 |
| A Simple Method for Testing Independencies in Bayesian Networks | 0 | 0.34 | 2016 |
| Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks. | 0 | 0.34 | 2016 |
| On Tree Structures Used by Simple Propagation. | 0 | 0.34 | 2016 |
| On Bayesian Network Inference with Simple Propagation. | 3 | 0.84 | 2016 |
| Bayesian network inference using marginal trees | 1 | 0.41 | 2016 |
| Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. | 1 | 0.37 | 2015 |
| Uncertain reasoning at FLAIRS | 0 | 0.34 | 2015 |
| Determining Good Elimination Orderings with Darwinian Networks | 0 | 0.34 | 2015 |
| Darwinian Networks. | 0 | 0.34 | 2015 |
| Editorial: Uncertain reasoning FLAIRS 2011 | 0 | 0.34 | 2013 |
| On semantics of inference in bayesian networks | 2 | 0.39 | 2013 |
| d-Separation: Strong Completeness of Semantics in Bayesian Network Inference. | 2 | 0.39 | 2013 |
| Ordering arc-reversal operations when eliminating variables in lazy AR propagation | 2 | 0.39 | 2013 |
| Special Track on Uncertain Reasoning. | 0 | 0.34 | 2011 |
| Evaluating probabilistic inference techniques: a question of "When," not "Which" | 0 | 0.34 | 2011 |
| Using four cost measures to determine arc reversal orderings | 3 | 0.40 | 2011 |
| Rough support vector regression | 8 | 0.58 | 2010 |
| Join tree propagation with prioritized messages | 6 | 0.50 | 2010 |
| A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference | 3 | 0.51 | 2009 |
| Precision and Recall in Rough Support Vector Machines | 4 | 0.49 | 2007 |
| Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings | 66 | 3.98 | 2007 |
| Current Trends in Bayesian Network Inference | 0 | 0.34 | 2007 |
| On the Practical Irrelevance of Diverging Implication between Probabilistic Conditional Independence and Embedded Multivalued Dependency | 0 | 0.34 | 2005 |
| The computational complexity of inference using rough set flow graphs | 10 | 0.61 | 2005 |
| Sophisticated Indexes for Implementing Probabilistic Expert Systems | 0 | 0.34 | 2005 |
| Interval Set Representations Of 1-V-R Support Vector Machine Multi-Classifiers | 5 | 0.69 | 2005 |
| Reducing the storage requirements of 1-v-1 support vector machine multi-classifiers | 3 | 0.53 | 2005 |
| An Integrated Approach to Discovery in Complex Information Spaces | 0 | 0.34 | 2004 |
| Towards Jointree Propagation with Conditional Probability Distributions | 0 | 0.34 | 2004 |
| A Foundational Approach to Mining Itemset Utilities from Databases | 147 | 6.10 | 2004 |
| A non-local coarsening result in granular probabilistic networks | 0 | 0.34 | 2003 |
| A new inference axiom for probabilistic conditional independence | 0 | 0.34 | 2003 |
| Probabilistic reasoning in Bayesian networks: a relational database approach | 3 | 0.41 | 2003 |
| Critical remarks on the maximal prime decomposition of Bayesian networks | 1 | 0.36 | 2003 |
| Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks | 0 | 0.34 | 2003 |
| Acquisition Methods for Contextual Weak Independence | 0 | 0.34 | 2002 |
