[Feb 9th 2022] LabMeeting: A Mixed Statistical and Machine Learning approach for the Analysis of Multimodal Trail Making Test Data

Veronica Lachi (University of Siena) When: Feb 9th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description A Mixed Statistical and Machine Learning approach for the Analysis of Multimodal Trail Making Test Data Eye-tracking can offer a novel clinical practice and a non-invasive tool to detect neuropathological syndromes. In this paper, we show […]

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[Feb 2nd 2022] LabMeeting: DyRep: Learning Representations over Dynamic Graphs

Caterina Graziani (University of Siena) When: Feb 2nd, 2022 – 11:45 – 12:30 AM Where: Google meet link Description Learning Representations over Dynamic Graphs Representation Learning over graph structured data has received significant attention recently due to its ubiquitous applicability. However, most advancements have been made in static graph settings while efforts for jointly learning […]

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[Feb 2nd 2022] LabMeeting: The expressive power of Graph Neural Networks – A unifying point of view

Giuseppe Alessio D’Inverno (University of Siena) When: Feb 2nd, 2022 – 11:00 – 11:45 AM Where: Google meet link Description The expressive power of Graph Neural Networks – A unifying point of view Graph Neural Networks (GNNs) are a wide class of connectionist models for graph processing. They perform an iterative message passing operation on […]

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[Jan 19th 2022] LabMeeting: Learning invariant features from video streams: an optimal control approach

Lapo Faggi (University of Siena) When: Jan 19th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Learning invariant features from video streams: an optimal control approach Symmetries, invariances and conservation equations have always been an invaluable guide in Science to model natural phenomena through simple yet effective relations. For instance, in computer […]

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[Jan 12th 2022] LabMeeting: Using Domain-Specific Fingerprints Generated Through Neural Networks to Enhance Ligand-Based Virtual Screening

Niccolò Pancino (University of Siena) When: Jan 12th, 2022 – 11:00 – 11:45 AM Where: Google meet link Description Using Domain-Specific Fingerprints Generated Through Neural Networks to Enhance Ligand-Based Virtual Screening by Janosch Menke and Oliver Koch Similarity-based virtual screening is a fundamental tool in the early drug discovery process and relies heavily on molecular […]

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[Dec 22nd 2021] LabMeeting: AGENT: A Benchmark for Core Psychological Reasoning

Enrico Meloni (University of Siena) When: Dec 22nd, 2021 – 11:00 – 11:45 AM Where: Google meet link Description AGENT: A Benchmark for Core Psychological Reasoning by Tianmin Shu et al For machine agents to successfully interact with humans in real-world settings, they will need to develop an understanding of human mental life. Intuitive psychology, […]

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[Dec 15th 2021] LabMeeting: Entropy-based Logic Explanations of Neural Networks

Marco Tanfoni (University of Siena) When: Dec 9th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description Explainable artificial intelligence has rapidly emerged since lawmakers have started requiring interpretable models for safety-critical domains. Concept-based neural networks have arisen as explainable-by-design methods as they leverage human-understandable symbols (i.e. concepts) to predict class memberships. However, […]

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[Dec 9th 2021] LabMeeting: An Example of Reinforcement Learning in Finance

Michele Casoni (University of Siena) When: Dec 9th, 2021 – 11:00 – 11:45 AM Where: Google meet link Description One of the most studied problems in the financial framework is how to find a combination of N assets, called Portfolio, which optimizes an investment objective. This problem is called “Portfolio Optimization Problem”. An optimal solution […]

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[Nov 24th 2021] LabMeeting: Siamese neural networks for the alignment of Coronavirus protein sequences

Filippo Costanti (University of Siena) When: Nov 24th, 2021 – 11:45 – 12:30 AM Where: Google meet link Description Recent research studies have highlighted that individuals not exposed to SARS coronavirus 2 (SARS-CoV2) have pre-existing immune system reactivity, due to contact with human coronaviruses that cause the common cold. Therefore, a more in-depth comparative study […]

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