Program

MLDM 2019 Program

DAY 1, 19 November 2019

14.00 - 14.20 Welcome (Sala stampa)

Session 1 - Sala stampa

14.20 - 14.40 Learning from the web

(Fabrizio Riguzzi, Elena Bellodi, Giuseppe Cota, Evelina Lamma, and Riccardo Zese)


14.40 - 15.00 Generative Adversarial Networks for Temporally-Marked Event Sequences

(Francesco Folino, Giuseppe Manco, Luigi Pontieri, and Ettore Ritacco)

15.00 - 15.20 Artificial Intelligence in the electrical network

(Michelangelo Ceci, Gianvito Pio, Roberto Corizzo, and Donato Malerba)


15.20 - 15.40 Deep Reservoirs

(Claudio Gallicchio and Alessio Micheli)


Session 2 - Sala stampa

16.15 - 16.35 Process Model Modularization by Subprocess Discovery

(Sergio Angelastro and Stefano Ferilli)


16.35 - 16.55 Machine Learning approaches to model Diffusion Networks

(Giuseppe Manco, Francesco Bonchi, and Corrado Monti)


16.55 - 17.15 Discovering relevant patterns inside multilayer Perceptrons

(Giuliano Armano, Alessandro Giuliani)


17.15 - 17.35 Some provable features and limitations of AlphaZero UCT formula

(Francesco Morandin)


17.35 - 17.55 SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go

(Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, and Maurizio Parton)


DAY 2, 20 November 2019

Session 3 -Sala stampa

15.00 - 15.20 Social choice theory for machine learning: a binary rank aggregation classifier

(Alina Sirbu and Corrado Priami)

15.20 - 15.40 Training Graph Convolutional Neural Networks with Weisfeiler-Lehman Kernel

(Nicolo' Navarin, Dinh V. Tran, and Alessandro Sperduti)


Session 4 - Sala stampa

16.15 - 16.35 Learning Fair and Transferable Representations

(Luca Oneto, Michele Donini, Andreas Maurer, and Massimiliano Pontil)


16.35 - 16.55 On the improvement of default forecasts through textual analysis

(Cerchiello Paola and Scaramozzino Roberta)


16.55 - 17.15 Quantum machine learning with linear models

(Antonio Macaluso, Stefano Lodi, and Claudio Sartori)


17.15 - 17.35 Robust Machine Learning by Credal Sentential Decision Diagrams

(Lilith Mattei, Alessandro Antonucci, and Alessandro Facchini)


17.35 - 17.55 Enabling Deep Learning for Large Scale Question Answering in Italian

(Danilo Croce and Roberto Basili)


18.00 - 18.30 Concluding Remarks: MLDM working group (Sala stampa)