Third Italian Workshop on

Machine Learning and Data Mining

MLDM.it 2014

http://aiia2014.di.unipi.it/mldm/
10 and 11 December 2014
Pisa, Italy

Workshop of the XIII AI*IA Symposium on Artificial Intelligence

http://aiia2014.di.unipi.it

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.


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Workshop Program

MLDM Workshop - 10 December 2014 Sala Gerace, Building C

Kernel methods

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

11:00-11:30 Coffee break

11:30-12:10 (long) How Mature Is the Field of Machine Learning?
Marcello Pelillo, Teresa Scantamburlo

Model and feature selection

13:00-14:00 Lunch break

Bioinformatics

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

Applications and implementations

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

16:00-16:30 Coffee break

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

MLDM Workshop - 11 December 2014 Aula PS4, Building E

10:30-11:10 (long) An Overview of Credal Classification
Giorgio Corani, Marco Zaffalon

Algorithms

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

Important Dates

Early Registration: 31 October 2014
Late Registration: 28 November 2014
Workshop Dates: 10 and 11 December 2014


Advisory Board

  • Nicol√≤ Cesa-Bianchi
  • Nicola Di Mauro
  • Paolo Frasconi
  • Alessio Micheli
  • Marcello Pelillo
  • Alessandro Verri


Workshop Organizers

Paolo Frasconi (University of Florence, Italy)
Nicola Di Mauro (University of Bari, Italy)
Alessio Micheli (University of Pisa, Italy)