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The third-year PhD students will rehearse their thesis according to the following schedule May 3 at 9.30 (Aula seminari) Committee: Paolo Napoletano, Marco Savi, Claudio ZandronMilanese Gian CarloTenti PaoloTundo AlessandroVaghi Matteo
All defenses take place in Sala Seminari. Building U14. February 19th 2024. 9:30 (Sala Seminari and via videoconference)STUDENTSBarbato MirkoErba IlariaMatamoros Aragon AnibalOrlov IvanCOMMITTEEprof. Rafael Penalozaprof. Mauro Castelliprof.ssa Elena Casiraghi February 20th, 2024. 14:00 (Sala Seminari and via videoconference)STUDENTSCastelnovo AlessandroGreco GretaGigli
The third-year PhD students will rehearse their thesis according to the following schedule January 10 at 9.30 (Aula seminari) Committee: Federico Cabitza, Alex Graudenzi, Simone Melzi Castelnovo Alessandro Gigli Marco Greco Greta Papetti Daniele Maria January 12 at 9.30 (Aula
When: Dec 1st, 2023 at 2pmWhere: Sala Seminari. We will talk about writing responses to reviews and rebuttals (participants are also invited to actively share their experience). All the interested students are invited to join this meeting. The target audience
14th November 2023 10:00 am Room “Sala Seminari” – Abacus Building (U14) CHIARA NATALI Preserving Human Agency in Hybrid Decision-Making via “Frictional” Decision Support Systems Abstract: Designing in the field of Artificial Intelligence (AI) goes beyond simple programming: it is
The PhD students’ presentations are scheduled as follows: Tue 19/9 h 10-12.30, Sala Riunioni (1037), floor 1. Google meet Evaluation committee: Fersini, Raibulet, Savi Fri 22/9 h 14-16.30, Sala Riunioni (1037), floor 1. Google meet Evaluation committee, Cabitza, Dennunzio, Leporati
Agenda PhD Day (July 6th, 2023) 10:00-10:45 T024 room (ground floor) Talk “Mental health and stress among phd students“prof. Massimo Migliorettislides 10:45-11:15 coffee break 11:15-12:45 Sala Seminari (first floor) Poster Session 1 12:45-14:30 Lunch break 14:30-15:30 T024 room (ground floor)
Monday February 1st, 2021 – 15:00 https://meet.google.com/fxa-xpxw-aew Paolo Tenti Abstract: Understanding unstructured text is a priority for many real life applications, that requires capturing the right features to maximize the desired inference. This talk will focus on exploiting background knowledge
Monday February 1st, 2021 – 14:30 Dagmawi Delelegn Tegegn https://meet.google.com/fxa-xpxw-aew Abstract: Advances in Near-infrared (NIR) spectroscopy technology led to an increase of interest in its applications in various industries due to its powerful non-destructive quantization tool. In this work, we
Monday February 3 rd , 2020 – 10:30 am Sala Seminari, DISCo Andrea Seveso Abstract: Objective of the work is the development of prognostic machine learning models that predict qualitative and quantitative measures of postnatal growth in very low birth