Publications

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

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

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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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