4th Italian Workshop on Machine Learning and Data Mining (MLDM.it 2015)

Following the success of the first three editions of the Italian Workshop on Machine Learning and Data Mining at the AI*IA Symposiums and AI*IA Conferences 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. Following the tradition of MLDM.it, presentations are upon invitation. Attendance to MLDM is open to all the AI*IA Conference participants.

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.

Workshop Day: September 22nd, 2015


MLDM.it will be held in Main Room - First Floor, Palazzo Trotti Mosti (Trotti Mosti Palace): Corso Ercole I d'Este, 37 - Building Plan

The program is downloadable here.

 22 September 2015 
Section IComplex Data Analysis
9.10-9.30Mining Time-Adaptive Interpolative Clusters: Linking Interpolation to Summarization in Geophysical Data StreamsAnnalisa Appice, Donato Malerba
9.30-9.50Visual Detection of small groups and leaders in crowd through structured learningSimone Calderara
9.50-10.10Real-Time Topic Detection in TwitterSalvatore Gaglio, Giuseppe Lo Re, Marco Morana
10.10-10.30Choice of Training-Validation partitions impacts predictive performanceAlessandro Zandonà, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
Coffee break
Section II Deep Learning
11.00-11.20Two approaches for Recurrent Neural Networks Pre-trainingLuca Pasa, Alessandro Sperduti, Alberto Testolin
11.20-11.40On the Complexity of Neural Network Classifiers: A Comparison between Shallow and Deep ArchitecturesMonica Bianchini, Franco Scarselli
11.40-12.00Deep Reservoir ComputingClaudio Gallicchio, Alessio Micheli
12.00-12.20Tweaking Sum-Product Network Structure LearningAntonio Vergari, Nicola Di Mauro, Floriana Esposito
Lunch break
Section IIILearning Models and Analysis (I)
14.30-14.50Distributed Probabilistic Logic LearningElena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese
14.50-15.10Truly scalable latent locally linear SVMsIlja Kuzborskij, Barbara Caputo
15.10-15.30A model of online learning as a Linear Quadratic Gaussian (LQG) optimal control problem with random matricesGiorgio Gnecco, Alberto Bemporad, Marco Gori, Rita Morisi, and Marcello Sanguineti
15.30-15.50Grammatical Inference for Structural Knowledge ExtractionPietro Cottone, Salvatore Gaglio, Giuseppe Lo Re, and Marco Ortolani
Coffee break
Section IVLearning Models and Analysis (II)
16.30-16.50RNAsynth: a graph kernel approach to learn constraints for RNA inverse foldingFabrizio Costa
16.50-17.10Transducing Sentences to Syntactic Feature Vectors: an Alternative Way to “Parse”?Fabio Massimo Zanzotto, Lorenzo Dell’Arciprete, Lorenzo Ferrone
17.10-17.30Conceptual change as a cognitive phase transitionLorenza Saitta
17.30-17.45Model complexities of shallow neural networks for the approximation of input-output mappings with large variationsMarcello Sanguineti, Vera Kurkova
17.45-18.00Discussion and Conclusions: The future of MLDM

Organising Committee

Alessio Micheli
University of Pisa

Giorgio Valentini
University of Milano

Advisory board

Nicolò Cesa-Bianchi
Paolo Frasconi
Alessio Micheli
Marcello Pelillo
Giorgio Valentini
Alessandro Verri