Antonino Freno. Curriculum Vitae. Phone (office): Office: +33 (0)

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1 Antonino Freno Curriculum Vitae Personal Information First name: Antonino Family name: Freno Date of birth: July 1, 1980 Place of birth: Reggio Calabria (RC) Italy Citizenship: Italian Phone (office): Office: +33 (0) /Homepage: Education February 2008: December 2005: April 2004: July 1998: Ph.D. in Computer Science, Mathematical Logic and Cognitive Sciences, Università degli Studi di Siena (Italy). M.Sc. in Computer Science, Mathematical Logic and Cognitive Sciences, Università degli Studi di Siena (Italy). Master Degree in Philosophy, with mark 110/110 cum laude, Università degli Studi di Siena (Italy). High school certificate of education ( maturità classica ), with mark 60/60, Liceo ginnasio Tommaso Campanella, Reggio Calabria (Italy). Current Position Postdoc fellow at INRIA Lille Nord Europe, since June Research Interests Competence areas: Machine learning, artificial intelligence, computational statistics. Research areas: learning and inference in probabilistic graphical models, density estimation, network science, graph mining. Publications Conference papers: Antonino Freno, Mikaela Keller, and Marc Tommasi (2012): Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling. Advances in Neural Information Processing Systems 25 (NIPS 2012), MIT Press. Antonino Freno, Mikaela Keller, Gemma C. Garriga, and Marc Tommasi (2012): Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data. 1

2 Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI 2012), AUAI Press, pp Antonino Freno (2012): Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields. Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012), JMLR W&CP 22, pp Antonino Freno, Tiziano Papini, and Michelangelo Diligenti (2011): Learning to Rank using Markov Random Fields. Proceedings of the 10th International Conference on Machine Learning and Applications (ICMLA 2011). Antonino Freno, Edmondo Trentin, and Marco Gori (2010): Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation. Proceedings of the 19th European Conference on Artificial Intelligence (ECAI 2010). IOS Press, pp Antonino Freno, Edmondo Trentin, and Marco Gori (2009): Scalable Pseudo-Likelihood Estimation in Hybrid Random Fields, Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009). ACM, pp Antonino Freno, Edmondo Trentin, and Marco Gori (2009): Scalable Statistical Learning: A Modular Bayesian/Markov Network Approach, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2009). IEEE, pp Edmondo Trentin and Antonino Freno (2009): Unsupervised Nonparametric Density Estimation: A Neural Network Approach, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2009). IEEE, pp Antonino Freno (2007): Selecting Features by Learning Markov Blankets. In B. Apolloni, R. J. Howlett, and L. C. Jain (eds.): Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 WIRN 2007, Part I (LNAI 4692). Berlin: Springer- Verlag, pp Journal papers: Antonino Freno, Edmondo Trentin, and Marco Gori (2009): A Hybrid Random Field Model for Scalable Statistical Learning, Neural Networks, 2009 (22), pp Antonino Freno (2009): Statistical Machine Learning and the Logic of Scientific Discovery. Iris. European Journal of Philosophy and Public Debate, (1), 2009, pp Books: Antonino Freno, Edmondo Trentin (2011): Hybrid Random Fields. A Scalable Approach to Parameter and Structure Learning in Probabilistic Graphical Models. Springer-Verlag, Book chapters: Antonino Freno (2010): Probabilistic Graphical Models and the Logic of Scientific discovery. In M. D'Agostino, G. Giorello, F. Laudisa, T. Pievani, C. Sinigaglia (eds.): New Essays in Logic and Philosophy of Science. SILFS 1. London (UK): College Publications, pp Edmondo Trentin and Antonino Freno (2009): Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences, and Graphs. In M. Bianchini, L. C. Jain, M. Maggini, F. Scarselli (eds.): Innovations in Neural Information Paradigms and Applications. Springer-Verlag, pp

3 Workshop papers: Antonino Freno, Gemma C. Garriga, and Mikaela Keller (2011): Learning to Recommend Links using Graph Structure and Node Content. NIPS 2011 Workshop on Choice Models and Preference Learning. Work Experiences June 2011 ongoing: January 2011 May 2011: November 2008 October 2010: June 2009 November 2009: July 2008 December 2008: September 2008 October 2008: January 2008 July 2008: Postdoc fellow at INRIA Lille Nord Europe; Postdoc fellow at Dipartimento di Ingegneria dell Informazione, Università degli Studi di Siena, under a Google research award for the project Learning to Rank with Global Constraints ; Research Associate at Dipartimento di Ingegneria dell Informazione, Università degli Studi di Siena; Cooperation with Dipartimento di Ingegneria dell Informazione, Università degli Studi di Siena, for the development of a research project on the integration and management of heterogeneous databases; Cooperation with QuestIT s.r.l. as a programmer and system administrator for the development/maintenance of the question answering software WebCrow SMS; Cooperation with Dipartimento di Teoria e Documentazione delle Tradizioni Culturali, Università degli Studi di Siena, for the development/maintenance of a website for the Master in Informatica del Testo ed Edizione Elettronica ; Cooperation with Dipartimento di Ingegneria dell'informazione, Università degli Studi di Siena, for the development of a research project on probabilistic decision models for text document databases. Academic Experiences International collaborations: 09/ /2006: Visiting scholar at University of Cincinnati (USA); 10/ /2003: Erasmus student at Universität Osnabrück (Germany). Teaching: 2012/2013: Information Extraction, master mention Informatique MOCAD, Université Lille 1 - Sciences et Technologies (14 hours); 2011/2012: Information Extraction, master mention Informatique MOCAD, Université Lille 1 - Sciences et Technologies (16 hours); 2008/2009: Intelligenza artificiale, Facoltà di Ingegneria, Università degli Studi di Siena (26 hours); 2008/2009: Basi di dati multimediali, Facoltà di Ingegneria, Università degli Studi di Siena (16 hours). 2007/2008: Intelligenza artificiale, Facoltà di Ingegneria, Università degli Studi di Siena (31 hours). 3

4 Services to the Scientific Community Program committee memberships: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013), 5th INNS IAPR Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR 2012). Peer reviews: Journals: Journal of Machine Learning Research. IEEE Transactions on Neural Networks and Learning Systems. Conferences: Conference on Information and Knowledge Management (CIKM), International Conference on Data Mining (ICDM), European Conference on Artificial Intelligence (ECAI), ACM SIGMOD Conference, International Joint Conference on Neural Neural Networks (IJCNN). Project evaluation committees: Reviewer for the SIMI 2 committee of the French National Research Agency (ANR). Invited Talks Hybrid Random Fields. A Modular Approach to Parameter and Structure Learning in Probabilistic Graphical Models. INRIA Lille Nord Europe, February 3, Hybrid Random Fields for Scalable Statistical Learning. FBK-IRST/Università degli Studi di Trento, January 26, Hybrid Random Fields for Scalable Statistical Learning. Rutgers-Siena Joint Workshop Mind and Culture: Università degli Studi di Siena, June 1 2, Learning Probabilistic Representations. International workshop Representation and Action in Human Beings and Machines: Università degli Studi di Siena, October 21, A Framework for Exploring Theoretical Change. II Incontro del Coordinamento Nazionale di Filosofia delle Scienze Cognitive: Università della Calabria, June 5, Language Skills Italian: English: French: German: Mother language; Good oral skills, excellent reading-writing skills; Basic oral and reading/writing skills; Basic oral and reading/writing skills. Computer Skills Operating systems: Programming languages: Markup languages: Database management systems: Other skills: Linux (system administrator level), Windows (advanced user level), Mac OS X (average user level); Java (6 years experience), C/JNI, R (basic knowledge); HTML/CSS (basic knowledge), LaTeX (advanced knowledge); MySQL (basic knowledge). TCP/IP networking (basic knowledge), distributed systems (basic knowledge). 4

5 Software Development Experiences 1. Developer/administrator of the JProGraM open-source project (jprogram.sourceforge.net). 2. Developer of the Wikipedia module for the WebCrow SMS question-answering service ( 5