SAILab

Marco Ernandes Sep 23, 2020 – 11:45 – 12:30 AM Conference Meeting Description The text-mining field is currently in the eye of a technological storm: dozens of novel (and effective!) algorithms and architectures have been recently released, mainly by global AI players, such as Google, OpenAI, Microsoft. From a methodological point of view we observe […]

Niccolò Pancino (University of Florence) Sep 23, 2020 – 11:00 – 11:45 AM Conference Meeting Description Spectral clustering (SC) is a popular clustering technique to find strongly connected communities on a graph. It can be used in Graph Neural Networks to implement pooling operations that aggregate nodes belonging to the same cluster. However, SC is […]

Enrico Meloni (University of Florence) Sep 16, 2020 – 11:00 AM Conference Meeting Description Recently, researchers in Machine Learning algorithms, Computer Vision scientists, engineers, and others, showed a growing interest in 3D simulators as a mean to artificially create experimental settings that are remarkably close to those in the real world. However, most of the […]

Pietro Bongini (University of Florence) Sep 2, 2020 – 11:00 AM Conference Meeting Description The generation of graph–structured data is an emerging problem in the field of deep learning. Various solutions have been proposed in the last few years, yet the exploration of this branch is still in an early phase. Graph data being ubiquitous […]

Federica Baccini (University of Florence) Jul 22, 2020 – 11:00 AM Conference Meeting Description Similarity network fusion is a tool that aggregates the information coming from a multiplex network into a unique layer through a cross diffusion process. However, the process itself does not allow to infer which layer has the major impact in the […]

Gabriele Ciravegna (University of Florence) Jul 15, 2020 – 11:00 AM Conference Meeting Description Adversarial attacks on machine learning-based classifiers, along with defence mechanisms, have been widely studied in the context of single-label classification problems. In this paper, we shift the attention to multi-label classification, where the availability of domain knowledge on the relationships among […]

Luca Pasqualini (University of Siena) Jul 8, 2020 – 11:00 AM Conference Meeting Description Writers, poets, singers usually do not create their compositions in just one breath. Text is revisited, adjusted, modified, rephrased, even multiple times, in order to better convey meanings, emotions and feelings that the author wants to express. Amongst the noble written […]

Lisa Graziani (University of Florence) Jul 1, 2020 – 11:00 AM Conference Meeting Description In general sketches are generated using generative adversarial models. We propose a new approach which represents the sketches as sequences of segments. This means that segments are ordered with respect to time, so we organize them considering a predefined criterion. We […]

Anna Visibelli (University of Siena) Jun 24, 2020 – 11:00 AM Conference Meeting Description Significant efforts have been invested into understanding and predicting the molecular consequences of mutations in protein coding regions, however nearly all approaches have been developed using globular, soluble proteins. These methods have been shown to poorly translate to studying the effects […]