Publications

(2022). Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection. Future Generation Computer Systems.

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(2022). Adversarial Regularized Reconstruction for Anomaly Detection and Generation. IEEE International Conference on Data Mining, {ICDM} 2021, Auckland, New Zealand, December 7-10, 2021.

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(2022). A Factorization Approach for Survival Analysis on Diffusion Networks. IEEE Transactions on Knowledge and Data Engineering.

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(2022). Machine learning methods for generating high dimensional discrete datasets. WIREs Data Mining and Knowledge Discovery.

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(2021). Hyper-Parameter Optimization for Latent Spaces in Dynamic Recommender Systems. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021.

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(2020). Using an autoencoder in the design of an anomaly detector for smart manufacturing. Pattern Recognition Letters 136 (2020).

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(2020). Learning Ideological Embeddings from Information Cascades. CIKM ‘21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management.

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(2019). Sequential Variational Autoencoders for Collaborative Filtering. Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining - WSDM ′19.

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(2018). Predicting Temporal Activation Patterns via Recurrent Neural Networks. Lecture Notes in Computer Science.

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(2017). Fault detection and explanation through big data analysis on sensor streams. Expert Systems with Applications.

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(2017). Survival Factorization on Diffusion Networks. Machine Learning and Knowledge Discovery in Databases.

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(2017). Differential Privacy and Neural Networks: A Preliminary Analysis. Personal Analytics and Privacy. An Individual and Collective Perspective.

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(2016). Efficient Methods for Influence-Based Network-Oblivious Community Detection. ACM Transactions on Intelligent Systems and Technology.

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(2016). Rialto: A Knowledge Discovery suite for data analysis. Expert Systems with Applications.

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(2016). How Can SMEs Benefit from Big Data? Challenges and a Path Forward. Quality and Reliability Engineering International.

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(2016). Outlying property detection with numerical attributes. Data Mining and Knowledge Discovery.

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(2014). Probabilistic Approaches to Recommendations. Synthesis Lectures on Data Mining and Knowledge Discovery.

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(2014). Who to follow and why. Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD ′14.

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(2014). A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships. Machine Learning and Knowledge Discovery in Databases.

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(2013). Influence-Based Network-Oblivious Community Detection. 2013 IEEE 13th International Conference on Data Mining.

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(2013). Probabilistic topic models for sequence data. Machine Learning.

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(2013). Dealing with trajectory streams by clustering and mathematical transforms. Journal of Intelligent Information Systems.

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(2013). Topic-aware social influence propagation models. Knowledge and Information Systems.

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(2013). Hierarchical clustering of XML documents focused on structural components. Data & Knowledge Engineering.

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(2013). Cascade-based community detection. Proceedings of the sixth ACM international conference on Web search and data mining - WSDM ′13.

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(2012). Topic-Aware Social Influence Propagation Models. 2012 IEEE 12th International Conference on Data Mining.

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(2012). Balancing Prediction and Recommendation Accuracy: Hierarchical Latent Factors for Preference Data. Proceedings of the 2012 SIAM International Conference on Data Mining.

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(2012). Probabilistic Sequence Modeling for Recommender Systems. KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4 - 7 October, 2012.

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(2011). From global to local and viceversa: uses of associative rule learning for classification in imprecise environments. Knowledge and Information Systems.

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(2011). A Probabilistic Hierarchical Approach for Pattern Discovery in Collaborative Filtering Data. Proceedings of the 2011 SIAM International Conference on Data Mining.

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(2011). Modeling item selection and relevance for accurate recommendations. Proceedings of the fifth ACM conference on Recommender systems - RecSys ′11.

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(2011). An Analysis of Probabilistic Methods for Top-N Recommendation in Collaborative Filtering. Machine Learning and Knowledge Discovery in Databases.

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(2009). An incremental clustering scheme for data de-duplication. Data Mining and Knowledge Discovery.

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(2007). Top-Down Parameter-Free Clustering of High-Dimensional Categorical Data. IEEE Transactions on Knowledge and Data Engineering.

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(2007). Mining unconnected patterns in workflows. Information Systems.

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(2007). Boosting text segmentation via progressive classification. Knowledge and Information Systems.

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(2007). Mining categories for emails via clustering and pattern discovery. Journal of Intelligent Information Systems.

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(2007). Exploiting structural similarity for effective Web information extraction. Data & Knowledge Engineering.

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(2005). Mining and reasoning on workflows. IEEE Transactions on Knowledge and Data Engineering.

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(2005). Fast detection of XML structural similarity. IEEE Transactions on Knowledge and Data Engineering.

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