Publications

(2020). A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains. Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020.

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(2017). Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach. Knowledge-Based Systems.

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(2017). Personalized Video Recommendations for Shared Accounts. 2017 IEEE International Symposium on Multimedia (ISM).

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(2017). Discriminative Boosted Bayes Networks for Learning Multiple Cardiovascular Procedures . IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2017.

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(2017). Modeling Heart Procedures from EHRs: An Application of Exponential Families. IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2017.

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(2016). Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI 2016.

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(2016). Identifying Rare Diseases from Behavioural Data: A Machine Learning Approach. 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

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(2015). Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study. 15th Conference on Artificial Intelligence in Medicine, AIME 2015.

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(2014). Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. 2014 IEEE International Conference on Data Mining, ICDM 2014.

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(2013). Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models. Proceedings of the 2013th European Conference on Machine Learning and Knowledge Discovery in Databases, ECMLPKDD 2013.

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