BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Osservatorio Astrofisico di Catania - ECPv6.3.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Osservatorio Astrofisico di Catania X-ORIGINAL-URL:https://www.oact.inaf.it X-WR-CALDESC:Eventi per Osservatorio Astrofisico di Catania REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:+0000 TZNAME:UTC DTSTART:20220101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=UTC:20220530T090000 DTEND;TZID=UTC:20220601T180000 DTSTAMP:20240329T023959 CREATED:20220114T213419Z LAST-MODIFIED:20220114T214220Z UID:8968-1653901200-1654106400@www.oact.inaf.it SUMMARY:Machine Learning for Astrophysics - ML4Astro DESCRIPTION:Bring together researchers actively involved in the fields of machine learning applications to astrophysics use cases is the aim of the International Conference on Machine Learning for Astrophysics – ML4Astro. \nIn the view of the forthcoming Big Data era for the astronomy community\, the conference focuses on challenges coming from the application of ML/DL methods to open problems in astrophysics: novel AI techniques will be presented and joint discussions on their use with observational data will be fostered. A special session on the Square Kilometre Array and its precursors/pathfinders is foreseen. \nParticipants are invited to submit an abstract for an Oral Presentation or a Poster Presentation on the topics of interest for the conference. \nDATE: 30 May (09:00) – 1 Jun (18:00) \nOrganizers & Sponsors: The ML4ASTRO Conference is organized by the National Institute for Astrophysics (INAF) in collaboration with the University of Catania\, the University of Milano Bicocca\, the Consorzio COMETA and the University of Malta. The event is sponsored by the H2020 NEANIAS project\, the INAF PRIN CIRASA project and the MOSAICO project. \nScientific Organizing Committee (SOC): Filomena Bufano (INAF)\, co-chair; Simone Riggi (INAF)\, co-chair; Eva Sciacca (INAF)\, co-chair; Ugo Becciani (INAF); Andrea De Marco (University of Malta); Giuseppe Vizzari (Universita’ Milano Bicocca) \nLocal Organizing Committee (LOC): Cristobal Bordiu (INAF); Giulia Miceli (INAF); Teresa Pulvirenti (INAF); Fabio Vitello (INAF) \nTOPICS: Supervised/Unsupervised/Semi-supervised Learning – Deep learning – Active Learning – Image segmentation\, object detection and classification – Anomaly discovery – Data preparation\, generation and augmentation – Time series analysis\, transients –  Classification and regression – Data mining – Software tools and services for machine learning – Computing infrastructures and devices for Artificial Intelligence \nSCIENTIFIC DOMAINS: Radioastronomy – Observational Astrophysics – Time Domain Astronomy – High-Energy Astrophysics – Astroparticle Physics – Galactic and Extragalactic Science – Cosmology and numerical simulations \n \n \n \n \n \n \n \n \n \n \n \n \n \n Registration\n \n \n \n \n \n \n \n Call for Abstracts URL:https://www.oact.inaf.it/event/machine-learning-for-astrophysics-ml4astro/ LOCATION:Il Principe Hotel\, Via Alessi\, 24\, Catania\, 95124\, Italia CATEGORIES:Eventi & Seminari ATTACH;FMTTYPE=image/png:https://www.oact.inaf.it/wp-content/uploads/2022/01/Schermata-2022-01-14-alle-11.53.33.png END:VEVENT END:VCALENDAR