Following the success of the first and the second Italian Workshop on Machine Learning and Data Mining at the 2012 AI*IA Symposium and 2013 AI*IA Conference on Artificial Intelligence, this workshop aims at bringing together researchers actively involved in the fields of machine learning, data mining, pattern recognition, and knowledge discovery.
During the workshop, researchers will have the opportunity to present their recent results and discuss problems and challenges relevant to the community. Presentations are upon invitation. Attendance to MLDM is open to all the AI*IA Symposium partecipants.
The meeting is organized by the AI*IA Working Group on Machine Learning and Data Mining whose general goal is to promote Italian scientific activities in the field of machine learning and data mining, and foster collaborations between research groups.
9:20-10:00 (long) Learning with mixed hard/soft constraints by support constraint machines Giorgio Stefano Gnecco, Marco Gori, Stefano Melacci, Marcello Sanguineti |
10:00-10:20 Learning Sets via Kernel Embeddings Lorenzo Rosasco, Alessandro Rudi |
10:20-10:40 Distributed Tree Kernels and Distributed Convolution Kernels on Countable Sets Fabio Massimo Zanzotto, Lorenzo Ferrone |
10:40-11:00 Learning collective activities from context Francesca Odone, Nicoletta Noceti |
11:30-12:10 (long) How Mature Is the Field of Machine Learning? Marcello Pelillo, Teresa Scantamburlo |
12:10-12:30 Applied Model Selection and Error Estimation: Some New Results and Open problems Luca Oneto, Alessandro Ghio,Davide Anguita |
12:30-12:50 Measuring Discriminant and Characteristic Capability for Classifier Building and Assessment Giuliano Armano |
14:00-14:40 (long) Analysis of bio-molecular networks through semi-supervised graph-based learning methods M. Re, M. Mesiti, M. Frasca, J. Lin, G. Valentini |
14:40-15:00 BlockClust: efficient clustering and classification of non-coding RNAs from short read profiles P. Videm, D. Rose, F. Costa, R. Backofen |
15:00-15:20 Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images Paolo Frasconi |
15:20-15:40 Learning in Intelligent Sensor Networks Claudio Gallicchio, Davide Bacciu, Alessio Micheli |
15:40-16:00 Financial Product Recommendation through Case-based Reasoning and Diversification Techniques Cataldo Musto, Marco Polignano, Giovanni Semeraro, Pasquale Lops, Marco De Gemmis, Georgios Lekkas |
16:30-16:50 Machine Learning is Naturally Intertwined with Home Automation A. Giordana, L. Saitta, D. Mendola |
16:50-17:10 Social things: Now, we can! Bruno Apolloni, Simone Bassis, Gian Luca Galliani, Luca Ferrari, Matteo Gioia |
17:10-17:30 Many-core Distance-based Outlier Detection Stefano Basta, Fabrizio Angiulli, Stefano Lodi, Claudio Sartori |
10:30-11:10 (long) An Overview of Credal Classification Giorgio Corani, Marco Zaffalon |
11:10-11:30 On Learning and Recognition of Secure Patterns Battista Biggio, Fabio Roli, Giorgio Fumera |
11:30-11:50 Link Prediction with Explanation Giuseppe Manco, Francesco Bonchi, Nicola Barbieri |
11:50-12:10 A Co-Clustering approch for Sum-Product Network Structure Learning Antonio Vergari, Nicola Di Mauro, Floriana Esposito |
12:10-12:30 Classification: from Expert to Ensemble to Crowd Lorenza Saitta |
12:30-12:50 Probabilistic Logic Learning Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese |
12:50-13:00 Closing remarks |
Early Registration: 31 October 2014
Late Registration: 28 November 2014
Workshop Dates: 10 and 11 December 2014
Paolo Frasconi (University of Florence, Italy)
Nicola Di Mauro (University of Bari, Italy)
Alessio Micheli (University of Pisa, Italy)