Claudio Taranto

Research Interests

• Statical Relational Learning (SRL)
• Networks of heterogeneous objects : Machine Learning for Uncertain Networks creation and inference

Curriculum

• March 2013 - He received the Ph.D. in Computer Science form University of Bari. Ph.D. thesis title: "Probabilistic Graphs: Querying, Learning and Applications"
• July - October 2012 - He collaborated as research student with the Machine Learning Research Group headed by prof. Peter Flach of the Department of Computer Science, University of Bristol (U.K.). Research topic: multi-class pattern discovery in probabilistic graphs.
• January, 2010 - He started the Ph.D. Course in Computer Science at Department of Computer Science, University of Bari, under the supervision of Dott. Nicola Di Mauro. The topic of his thesis concerns the study of Machine Learning for networks of heterogeneous objects.
• October, 2009 - He received a Master Degree with full marks and honors in : Computer Science from University of Bari. He discussed a thesis titled: "Riconoscimento automatico di implicazioni testuali: metodi di apprendimento automatico a confronto".
• December, 2007 - He received a Bachelor Degree with full marks and honors in : Computer Science and technology for the production of software from University of Bari. He discussed a thesis titled: "SENSE: Progetto e sviluppo di un applicazione web per un enterprise search engine".

Summer schools

• Summer School on multimedia Semantics SSMS'10. Amsterdam, Netherlands, 30 August - 3 September, 2010
• GII Doctoral School 2010 on Ultra Large Scale System. Fasano, Italy, 27 September - 2 October, 2010
• International School on Mathematics: Graph Theory, Algorithms and Application. Erice, Italy, 25 September - 3 October, 2011

Teaching and Tutoring

• Academic Year 2009­/2010: Tutoring in the Computer Science course (laboratory), Degree in Informatics.
• Academic Year 2011­/2012: Teaching in the Knowledge Engineering and Expert Systems course, Laurea Degree in Informatics

Publications

• Claudio Taranto, Nicola Di Mauro, Stefano Ferilli and Floriana Esposito: Approximate image color correlograms. ACM Multimedia 2010: 1127-1130. Publisher: ACM. Eds: Alberto Del Bimbo, Shih-Fu Chang, Arnold W. M. Smeulders. [pdf]
• Claudio Taranto, Nicola Di Mauro and Floriana Esposito: Probabilistic Inference over Image Networks. Italian Research Conference on Digital Libraries 2011 CCIS, vol. 249, pp. 1-13. Springer, Heidelberg. [pdf]
• Claudio Taranto, Nicola Di Mauro and Floriana Esposito: rsLDA: a Bayesian Hierarchical Model for Relational Learning. IEEE International Conference on Data and Knowledge Engineering 2011 [pdf]
• Floriana Esposito, Nicola Di Mauro, Claudio Taranto and Stefano Ferilli: Computational Models Enhancing Semantic Access to Digital Repositories. Italian Research Conference on Digital Libraries 2011 CCIS, vol. 249, pp. 107-110. Springer, Heidelberg.
• Claudio Taranto, Nicola Di Mauro and Floriana Esposito. Uncertain Graphs meet Collaborative Filtering. In 3rd Italian Information Retrieval Workshop, 2012. [pdf]
• Claudio Taranto, Nicola Di Mauro and Floriana Esposito . Uncertain (Multi)graphs for Personalization Services in Digital Libraries. In 8th Italian Research Conference on Digital Libraries, 2012. [pdf]
• Claudio Taranto, Nicola Di Mauro and Floriana Esposito . Learning in Probabilistic Graphs exploiting Language-Constrained Patterns. In New Frontiers in Mining Complex Patterns, ECML-PKDD12 Workshop, 2012.
• Claudio Taranto, Nicola Di Mauro and Floriana Esposito . Learning in Probabilistic Graphs exploiting Language-Constrained Patterns. In Extended version in New Frontiers in Mining Complex Patterns, ECML-PKDD12 Workshop, 2013. [in press]

Software

• Eagle
  Eagle is a system implementing many algorithms dealing with uncertain graphs