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1 Stefano Melacci [Curriculum Vitae] Personal Information Current Position Research Interests Education Home Address: (removed from the online version) Cortona (Arezzo), ITALY Nationality: Italian Date of Birth: 21st March 1981 Voice (Mobile/Home): (removed from the online version) WWW: Research Associate at the Department of Information Engineering and Mathematical Sciences, University of Siena, Via Roma 56, Siena (ITALY), since February 2010 (ref: Prof. Marco Gori). My research activity is focused on Machine Learning and, more generally, Artificial Intelligence. I am currently working on Multi-Layer Convolutional Deep Architectures for feature extraction from images and videos. My current research project involves the development of adaptive filters based on principles from Information Theory (Developmental Visual Agents). My recent contributes are related to Kernel Methods and Regularization Theory in the Semi-Supervised setting (Learning from Constraints). I proposed Kernel functions that can be used to learn from supervised sets (e.g. medical rules for breast cancer prognosis and diabetes diagnosing, or rules on the frequency of words in document collections/newsgroups). My interests include Manifold Regularization algorithms, Similarity Measure Learning, Neural Networks and Kernel Machines, with application to Computer Vision. University of Siena, Siena, ITALY Ph.D. in Information Engineering (Adaptive Systems for Information Processing), April 2010 Tesi: Learning with Pairwise Constraints Advisor: Prof. Marco Maggini Ohio State University, Columbus, Ohio, USA Visiting scholar at the Department of Computer Science and Engineering, under the supervision of Prof. Mikhail Belkin, April September 2009) Topics: Semi-Supervised Learning, Manifold Regularization, Geometry, Kernel Methods. University of Florence, Florence, ITALY Qualification exam to become a licensed engineer, January 2007 University of Siena, Siena, ITALY M.S. (cum Laude), Informatic Engineering (Informatic and Multimedial Systems), September 2006 Thesis: Generazione automatica di caricature: Image Warping ( Automatic generation of caricatures: Image Warping ) Advisor: Prof. Marco Maggini 1

2 B.S., Informatic Engineering (Networks, Informatic and Multimedial Systems), October 2004 Thesis: Gestione del processo di creazione di un learning set per l addestramento di un classificatore di documenti attraverso un interfaccia web multiutente ( Generation of the learning set of an automatic document classifier by a multi-user web interface ) Advisor: Prof. Marco Maggini Liceo Scientifico G. da Castiglione, Castiglion F.no (Arezzo), ITALY High school certificate of education ( Maturità Scientifica ), with mark 100/100, July 2000 Academic Experience University of Siena, Siena, ITALY - Lecturer, faculty of Arts and Philosopy: Master INFOTEXT - Basi di Informatica, Master in Informatica del Testo ed Edizione Elettronica, 24 hours March Teaching Assistant, facolty of Engineerings, Corso di Laurea in Ingegneria Gestionale: Fondamenti di Informatica: Laboratorio di Informatica (Informatic Laboratory - Programming Course), 30 hours Academic year Lecturer, faculty of Arts and Philosopy: Master INFOTEXT - Basi di Informatica, Master in Informatica del Testo ed Edizione Elettronica, 18 hours March Teaching Assistant, faculty of Engineering, Corso di Laurea in Ingegneria Informatica e dell Informazione ed Ingegneria Gestionale: Fondamenti di Informatica: Laboratorio di Informatica (Informatic Laboratory - Programming Course), 30 hours Academic year Lecturer, Department of Communication Science: Corso di Programmazione C e Java orientato allo sviluppo di applicazioni per dispositivi mobili (Programming in C and Java for mobile application developement), 40 hours Mach - May Lecturer, faculty of Arts and Philosopy: Master INFOTEXT - Basi di Informatica, Master in Informatica del Testo ed Edizione Elettronica, 10 hours February Lecturer, faculty of Engineering, Laboratorio di Informatica/G (Informatic Laboratory - Programming Course), 34 hours Academic Year Teaching Assistant, faculty of Informatic Engineering: Fondamenti di Informatica I (Basic of Computer Science I ), 20 hours October January Lecturer, faculty of Engineering: Laboratorio di Informatica/G (Informatic Laboratory - Programming Course), 34 hours Academic Year

3 - Teaching Assistant, faculty of Engineering, course: Fondamenti di Informatica I (Basic of Computer Science I ), 20 hours January - March 2009 January - March Lecturer, faculty of Economy, at Master GINTS, Gestione delle Istituzioni Finanziarie e Nuove Tecnologie dell Informazione (Managing of Financial Institutions and New Information Technologies), 4 hours February Teaching Assistant (duties only included the support for students that were developing their final project), faculty of Engineering, course: Intelligenza Artificiale (Artificial Intelligence) January March 2008 Seminars Publications University of Siena, Department of Information Engineering, Siena - ITALY - Unsupervised Learning by Minimal Entropy Encoding (February 2012) - Hierarchical Extraction of Convolutional Features (February 2012) - Insights on Developmental Visual Agents (February 2012) Journals Melacci, S., Gori, M.: Learning with Box Kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence (preprint online) (2013) Gori, M., Melacci, S.: Constraint Verification with Kernel Machines. IEEE Transactions on Neural Networks and Learning Systems, Volume 24(5): (2013) Ferroni, S., Borracchini, A., Melacci, S., Doldo, T.: Aesthetical Standards and New Technologies: a Comparison. Virtual Journal of Orthodontics, Issue 9.4: (2012) Melacci, S., Gori, M.: Unsupervised Learning by Minimal Entropy Encoding. IEEE Transactions on Neural Networks and Learning Systems, Volume 23 (12): (2012) Gnecco, G., Gori, M., Melacci, S., Sanguineti, M.: A theoretical framework for supervised learning from regions. Neurocomputing, 2012, Elsevier (accepted for publication) Maggini, M., Melacci, S., Sarti, L.: Learning from pairwise constraints by Similarity Neural Networks. Neural Networks, Volume 26, February 2012, , Elsevier (2012) Melacci, S., Belkin, M.: Training a Laplacian Support Vector Machine in the Primal. The Journal of Machine Learning Research, Volume 12 (March), , JMLR.org (2011) Melacci, S., Sarti, L., Maggini, M., Gori, M.: A template-based approach to automatic face enhancement. Pattern Analysis & Applications, Volume 13 (3), ISSN , Springer-Verlag (2010),

4 International Conferences Frandina, S., Gori, M., Lippi, M., Maggini, M., Melacci, S.: Variational Foundations of Online Backpropagation. To appear in Proceedings of the 23rd International Conference on Artificial Neural Networks (ICANN 2013) Frandina, S., Lippi, M., Maggini, M., Melacci, S.: On-line Laplacian One-Class Support Vector Machines. To appear in Proceedings of the 23rd International Conference on Artificial Neural Networks (ICANN 2013) Gnecco, G., Gori, M., Melacci, S., Sanguineti, M.: Learning with hard constraints. To appear in Proceedings of the 23rd International Conference on Artificial Neural Networks (ICANN 2013) Melacci, S., Lippi, M., S., Gori, M., Maggini, M.: Information-based learning of deep architectures for feature extraction. To appear in Proceedings of the 17th International Conference on Image Analysis and Processing (ICIAP 2013) Frandina, S., Gori, M., Lippi, M., Maggini, M., Melacci, S.: Inference, Learning, and Laws of Nature. In 23rd International Joint Conference on Articial Intelligence, Proceedings of the 9th International Workshop on Neural-Symbolic Learning and Reasoning (2013), Gori, M., Melacci, S., Lippi, M., Maggini, M.: Information Theoretic Learning for Pixel-based Visual Agents. In Proceedings of the 12th European Conference on Computer Vision, Lecture Notes in Computer Science, LNCS 7577, Springer (2012), (6) Melacci, S., Gori, M.: Kernel Methods for Minimum Entropy Encoding. In Proceedings of the 10th International Conference on Machine Learning and Applications, IEEE (2011) Melacci, S., Gori, M.: Learning with Box Kernels. In Proceedings of the International Conference on Neural Information Processing, Lecture Notes in Computer Science, LNCS 7064, Springer (2011), (2) Gori, M., Melacci, S.: Support Constraint Machines. In Proceedings of the International Conference on Neural Information Processing, Lecture Notes in Computer Science, LNCS 7064, Springer (2011), (1) Melacci, S., Gori, M.: Semi-Supervised Multiclass Kernel Machines with Probabilistic Constraints. In Proceedings of the 12th International Conference on Advances in Artificial Intelligence - AI*IA Lecture Notes in Computer Science LNCS 6934, Springer (2011), Gori, M., Melacci, S.: Learning with convex constraints. Artificial Neural Networks - ICANN Lecture Notes in Computer Science LNCS 6354, Springer-Verlag (2010), Melacci, S., Gori, M., Maggini, M.: Semi-supervised learning with constraints for multi-view object recognition. Artificial Neural Networks - ICANN Lecture Notes in Computer Science LNCS 5769, Springer-Verlag (2009), * BEST STUDENT PAPER AWARD * Melacci, S., Maggini, M., Sarti, L.: Semi-supervised Clustering using Similarity 4

5 Neural Networks. In Proceedings of the International Joint Conference on Neural Networks, IEEE (2009), Castelli, I., Maggini, M., Melacci, S., Sarti, L.: Auto Associative Neural Network based Active Shape Models. In Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition, IEEE (2008), 1 6 Maggini, M., Melacci, S., Sarti, L.: Learning similarity measures from pairwise constraints with neural networks. Artificial Neural Networks - ICANN Lecture Notes in Computer Science LNCS 5164, Springer-Verlag (2008), Melacci, S., Sarti, L., Maggini, M., Bianchini, M.: A neural network approach to similarity learning. Artificial Neural Networks in Pattern Recognition, ANNPR Lecture Notes in Artificial Intelligence LNAI 5064, Springer-Verlag (2008), Maggini, M., Melacci, S., Sarti, L.: Representation of Facial Features by Catmull- Rom Splines. Computer Analysis of Images and Patterns, CAIP Lecture Notes in Computer Science LNCS 4673, Springer-Verlag (2007), Technical Reports Maggini, M., Melacci, S., Sarti, L.: Approximation capabilities of Similarity Neural Networks. Department of Information Engineering, University of Siena. TechRep #3, (2008) Melacci, S., Belkin, M.: Training a Laplacian Support Vector Machine in the Primal. arxiv: v1 [stat.ml] 29 September, (2009) Attended Conferences - Summer Schools International Conferences - European Conference on Computer Vision Firenze, IT, October International Conference on Machine Learning and Applications Honolulu, Hawaii, USA, December International Conference on Neural Information Processing Shanghai, China, November International Conference of the Italian Association for Artificial Intelligence Palermo, IT, September International Conference on Artificial Neural Networks Thessaloniki, GR, Septembeer International Joint Conference on Neural Networks Atlanta, GA, USA, June International Conference on Artificial Neural Networks Prague, CZ, September International Conference on Computer Analysis of Images and Patterns Vienna, AU, August 2007 Summer Schools - Theory of Computational Learning, Machine Learning Summer School, sponsored by NSF (US National Science Foundation), Chicago, IL, USA, June The Analysis of Patterns (2nd meeting), sponsored by Pascal Network of Excellence, Bertinoro, Forlì-Cesena, IT, October

6 Grants - Awards Member of Peer-Reviewer - Best Student Paper Award, International Conference on Artificial Neural Networks, Cyprus, 2009 * Travel grant from the University College, London, UK, for the Machine Learning Summer School Theory of Computational Learning, Chicago, IL, USA, 2009 * Three years Ph.D. Scholarship at Department of Information Engineering, University of Siena, Siena, ITALY. Research area: Adaptive Systems for Information Processing, Artificial Intelligence Research Group (AIRGroup Siena) - Italian Association for Artificial Intelligence (AI*IA) - International Neural Network Society (INNS) - Società Italiana di Reti Neuroniche (SIREN) Journals - The Journal of Machine Learning Research (MIT) - IEEE Transactions on Pattern Analysis and Machine Intelligence - IEEE Transactions on Neural Networks and Learning Systems - Integrated Computer-Aided Engineering (IOS Press) - Neurocomputing (Elsevier) - Pattern Recognition Letters (Elsevier) - Neural Processing Letters (Springer) - Information Sciences (Elsevier) - Pattern Analysis & Applications (Springer) - International Journal of Neural Systems (World Scientific) International Conferences - International Conference on Image Analysis and Processing, International Symposium on Neural Networks, IEEE International Joint Conference on Neural Networks, The 20th International Conference on Artificial Neural Networks, ACM 17th Conference on Information and Knowledge Management, The 18th International Conference on Artificial Neural Networks, The 17th International Conference on Artificial Neural Networks, 2007 Stages SECO s.r.l., Arezzo, ITALY - Study and implementation of a gesture recognition software based on accelerometers and gyroscopes (using Hidden Markov Models and Support Vector Machines), February - April Department of Information Engineering, University of Siena, Siena, ITALY - Six month stage for the development of a system designed to warp images of human faces using a set of feature points, Four month stage for the development of a multi-user web interface to manage an automatic document classifier, 2004 Computer Skills Operating Systems: Windows (all versions), Linux (various distros, mainly Ubuntu and OpenSuse), Mac OS X. Languages: Java (very high skills), C, C++, Php, Pascal, Delphi, SQL, HTML, CSS, JavaScript, XML, Matlab (very good experience and knowledge), Action- Script 3 (basic experience). Databases: MySQL, DB2, Firebird. 6

7 Development Environment: NetBeans, Microsoft Visual Studio, JBuilder, Borland Developer Studio, ZWorld Dynamic C, KDevelop, Eclipse, DevC++. Applications: Microsoft Office, OpenOffice, Adobe Photoshop, Dreamweaver, L A TEX, Axis, Apache Web Server. Misc: High experience and knowledge of PC components, peripherals and networking. Other Software Developement I am the developer of: - LapSVMp (http://www.dii.unisi.it/~melacci/lapsvmp), an efficient Matlab implementation of the primal training of Laplacian Support Vector Machines. - The V.EN.US. System (http://venus.dii.unisi.it), a visual tool for the automatic enhancement of face pictures. It is based on artificial intelligence algorithms and on image warping, and it has been used (and evaluated) in public events. - The Active Appearance Model Java Library (http://www.dii.unisi.it/~melac ci), a powerful Java implementation of the Active Appearance Model algorithm by means of a 3D software renderer. - ART.I.ST, ARTificial Intelligence caricaturist (http://www.dii.unisi.it/~artist), an automatic caricaturing software. Events I took part in the organization of the public event Festival of Creativity, held in Florence, ITALY (http://www.festivaldellacreativita.it), in December 2006 and October I was presenting the research activity of the Artificial Intelligence Research Group (University of Siena), and publicly testing the V.EN.US. System. Misc I am the creator and the maintainer of the FEPS dataset (http://www.dii.unisi.it /~artist/feps). It is a collection of more than 800 frontal view face picture from famous face databases, with the addiction of manually labeled feature points for benchmarking feature localization algorithms. Languages Italian (mother tongue) English (very good reading/writing skills, good oral skills) Cambridge PET certification obtained (final score: Pass with Merit) 14th August

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