Program
For info on registration please visit the AI*IA 2017 webpage.
Tues. 14 November 2017 - DAY 1
14.00 Welcome
Session 1
14.00-14.20 Mining Arguments from Online Debating
A.Pazienza, S. Ferilli
14.20-14.40 A Web Application for Statistical Relational Learning
M. Alberti, E. Bellodi, G. Cota, E. Lamma, F. Riguzzi, R. Zese
14.40-15.00 Predicting Information Cascades via Deep Learning
G. Manco, G. Pirrò
15.00-15.20 Constructive Recommendation
P. Dragone, S. Teso, A. Passerini
15.20-15.40 Towards a Stateful FAQ-Chatbot with a Hybrid Deep Learning/Pattern-Matching Architecture
F. Battista, G. De Gasperis
15.40-16.00 Machine Learning Techniques for Personality-Based Multimedia Recommender Systems
M. Amadei, F. Gasparetti, A. Micarelli, H. Mohamed, G. Sansonetti
Coffee Break
Session 2
16.30-16.50 Leveraging the Power of Spectral and Relational Features in Hyperspectral Image Classification
A. Appice, P. Guccione, D. Malerba
16.50-17.10 Encoding and Decoding Representations with Sum-Product Networks
A. Vergari, R. Peharz, N. Di Mauro, F. Esposito
17.10-17.30 Hashing for Scalable Near Neighbor Classification
R. Ñanculef, S. Lodi, C. Sartori
17.30-17.50 Internet of Smart Things: where machine learning meets embedded systems
M. Roveri
17.50-18.00 Discussion: The future of MLDM.it
Wed. 15 November 2017 - DAY 2
Session 3
11.00-11.20 Dictionaries for approximation of binary classification tasks by sparse networks
V. Kůrková, M. Sanguineti
11.20-11.40 Deep Learning in Semantic Kernel Spaces
D. Croce, S. Filice, G. Castellucci, R. Basili
11.40-12.00 Kernel-based activation functions for neural networks
S. Scardapane, S. Van Vaerenbergh, A. Uncini
Lunch Break
Session 4
16.30-16.50 Learning of visual invariances in convolutional networks
A. Betti, M. Gori, D. Zanca
16.50-17.10 Logic Tensor Networks for Semantic Image Interpretation
I. Donadello, L. Serafini, A. d’Avila Garces
17.10-17.30 Differential Privacy and Generalization: Sharper Bounds, Theoretically Grounded Algorithms, and Thresholdout
L. Oneto, D. Anguita
17.30-17.50 A theoretical and Experimental Analysis of Majority and Plurality Voting in Classification
L. Saitta
17.50-18.00 Conclusion Remarks