SAILab

Niccolò Pancino (University of Siena) When: May 18th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations Drug combination therapy has become an increasingly promising method in the treatment of cancer. However, the number of possible drug combinations is so […]

Federica Baccini (University of Siena) When: May 11th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description An introduction to higher order networks and simplicial complexes Network science aims to capture the complexity of a system by studying the interactions among its constituents. For overcoming the shortfall of standard network models, research is […]

Filippo Costanti (University of Siena) When: May 4th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description NMRNet: a deep learning approach to automated peak picking of protein NMR spectra Motivation: Automated selection of signals in protein NMR spectra, known as peak picking, has been studied for over 20 years, nevertheless existing peak […]

Barbara Toniella Corradini (University of Siena) When: Apr 13th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description How good is my GAN? Generative adversarial networks (GANs) are one of the most popular methods for generating images today. While impressive results have been validated by visual inspection, a number of quantitative criteria have […]

Michele Casoni(University of Siena) When: Apr 13th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Mixture models A well known problem in the unsupervised learning framework is how to approximate an empirical distribution by a probability density function. A way for approaching it is provided by Mixture Models. In these probabilistic models, […]

Elia Giuseppe Ceroni (University of Siena) When: Apr 6th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Swim: a computational tool to unveiling crucial nodes in complex biological networks. SWItchMiner (SWIM) is a wizard-like software implementation of a procedure[1] capable to extract information contained in complex networks, developed by Paci et al.[2].Specifically, […]

Alessandra Romeo e Niccolò Fiorini (University of Siena) When: Mar 27th, 2022 – 3:00 – 4:00 PM Where: Google meet link

Pietro Bongini (University of Siena) When: Mar 9th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Modular multi-source prediction of drug side-effects with DruGNN Drug Side-Effects (DSEs) have a high impact on public health, care system costs, and drug discovery processes. Predicting the probability of side-effects, before their occurrence, is fundamental to […]

Gabriele Ciravegna (University of Siena) When: Mar 2nd, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Knowledge-driven Active Learning In the last few years, Deep Learning models have become increasingly popular. However, their deployment is still precluded in those contexts where the amount of supervised data is limited and manual labelling expensive. […]