SAILab

Lisa Graziani (University of Florence) Dec 2, 2020 – 11:00 – 11:45 AM Conference Meeting Description Emotions have an important role in daily life, indeed influence decision-making, human interaction, perception, attention, self-regulation. In the early 1970s, the psychologist Paul Ekman defined six universal emotions, namely anger, disgust, fear, happiness, sadness and surprise. This categorization has […]

Veronica Lachi (University of Siena) Nov 25, 2020 – 11:00 – 12:30 AM Conference Meeting Description Ribosome profiling — which nowadays is the best tool to investigate the gene expression control — allows to determine the speed of translation of an RNA sequence, by analysing ribosome footprints. Among samples from the same RNA sequence, a […]

Caterina Graziani (University of Siena) Nov 25, 2020 – 11:00 – 12:30 AM Conference Meeting Description Ribosome profiling (Ribo-seq profiling) is a powerful tool for studying the translational control of gene expression. The translational profile of an RNA sequence is estimated by counting the occurrences of its subsequences in ribosome footprints. The translational speed of […]

Giuseppe Alessio D’Inverno (University of Siena) Nov 18, 2020 – 11:45 – 12:30 AM Conference Meeting Description Neural networks are nowadays one of the hottest topics in Applied Mathematics and, from Bioinformatics to Artificial Intelligence, their use spreads over several scientific disciplines. Beside the analytical approach, which is predominant in the literature, a new geometric […]

Federica Baccini (University of Florence) Nov 18, 2020 – 11:00 – 11:45 AM Conference Meeting Description In this talk, I will introduce the problem of processing heterogeneous graphs (HETGs), i.e. graphs where nodes represent different entities, and edges denote multiple relation types. Despite heterogeneous graphs are able to model a broad variety of real world […]

José Manuel Gomez-Perez Nov 11, 2020 – 11:00 – 11:45 AM Conference Meeting Description In recent years, misinformation on the Web has become increasingly rampant. The research community has responded by proposing systems and challenges, which are beginning to be useful for (various subtasks of) detecting misinformation. However, most proposed systems are based in deep […]

Alberto Rossi (University of Florence) Nov 11, 2020 – 11:00 – 11:45 AM Conference Meeting Description Nuclear magnetic resonance (NMR) is a powerful and non–invasive diagnostic tool. However, NMR scanned images are often noisy due to patient motions or breathing. Although modern Computer Aided Diagnosis (CAD) systems, mainly based on Deep Learning (DL), together with […]

Andrea Zugarini (University of Florence) Nov 4, 2020 – 11:00 – 11:45 AM Conference Meeting Description In the last decade most of the advances in NLP were achieved by learning textual representations with unsupervised Language Modeling-related tasks on large corpora. Recently, this principle was pushed even further with transformers, where the scales of datasets and […]

Gabriele Ciravegna (University of Florence) Oct 28, 2020 – 11:00 – 11:45 AM Conference Meeting Description One of the key limitations of modern deep learning approaches lies in the amount of data required to train them. Humans, by contrast, can learn to recognize novel categories from just a few examples. Instrumental to this rapid learning […]