Publications

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. Deep Convolutional Sum-Product Networks. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), 2019.

. Solving Influence Diagrams with Simple Propagation. Thirty-second Canadian Conference on Artificial Intelligence (AI), 2019.

. On the Tree Structure of Deep Convolutional Sum-Product Networks. Thirty-Second International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2019.

. Exploiting Symmetry of Independence in d-Separation. Thirty-second Canadian Conference on Artificial Intelligence (AI), 2019.

. Simple Propagation with Arc-Reversal in Bayesian Networks. Ninth International Conference on Probabilistic Graphical Models (PGM), 2018.

. On a Simple Method for Testing Independencies in Bayesian Networks.. Computational Intelligence, 2018.

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. Efficient Examination of Soil Bacteria using Probabilistic Graphical Models. Thirty-first International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, 2018.

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. An Empirical Study of Testing Independencies in Bayesian Networks using rp-Separation.. International Journal of Approximate Reasoning, 2018.

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. An Empirical Study of Methods for SPN Learning and Inference. Ninth International Conference on Probabilistic Graphical Models (PGM), 2018.

. An Empirical Study of Bayesian Network Inference with Simple Propagation.. International Journal of Approximate Reasoning, 2018.

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. Resolving Inconsistencies of Scope Interpretations in Sum-Product Networks. Thirtieth Canadian Conference on Artificial Intelligence (AI), 2017.

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. On Learning the Structure of Sum-Product Networks. IEEE Symposium Series on Computational Intelligence, 2017.

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. On Finding Relevant Variables in Discrete Bayesian Network Inference. Thirtieth International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2017.

. On Darwinian Networks.. Computational Intelligence, 2017.

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. On Converting Sum-Product Networks into Bayesian Networks. Thirtieth Canadian Conference on Artificial Intelligence (AI), 2017.

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. Testing Independencies in Bayesian Networks with i-Separation. Twenty-ninth International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2016.

. Relevant Path Separation: A Faster Method for Testing Independencies in Bayesian Networks. Eighth International Conference on Probabilistic Graphical Models (PGM), 2016.

. On Tree Structures used by Simple Propagation for Bayesian Networks Inference. Twenty-ninth Canadian Conference on Artificial Intelligence (AI), 2016.

. On Bayesian Network Inference with Simple Propagation. Eighth International Conference on Probabilistic Graphical Models (PGM), 2016.

. Bayesian Network Inference with Simple Propagation. Twenty-ninth International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2016.

. Bayesian Network Inference using Marginal Trees.. International Journal of Approximate Reasoning, 2016.

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. Exploiting Semantics in Bayesian Network Inference Using Lazy Propagation. Twenty-eighth Canadian Conference on Artificial Intelligence (AI), 2015.

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. Determining Good Elimination Orderings with Darwinian Networks. Twenty-eighth International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2015.

. Darwinian Networks. Twenty-eighth Canadian Conference on Artificial Intelligence (AI), 2015.

. Bayesian Network Inference Using Marginal Trees. Seventh European Workshop on Probabilistic Graphical Models (PGM), 2014.