Zobrazeno 1 - 10
of 1 017
pro vyhledávání: '"P. Faggioli"'
Autor:
Fenucci, Marco, Faggioli, Laura, Gianotto, Francesco, Cioci, Davide Bracali, Cano, Juan Luis, Conversi, Luca, Devogèle, Maxime, Di Girolamo, Gianpiero, Drury, Charlie, Föhring, Dora, Gisolfi, Luigi, Kresken, Reiner, Micheli, Marco, Moissl, Richard, Ocaña, Francisco, Oliviero, Dario, Porru, Andrea, Ramirez-Moreta, Pablo, Rudawska, Regina, Bernardi, Fabrizio, Bertolucci, Alessia, Dimare, Linda, Guerra, Francesca, Baldisserotto, Valerio, Ceccaroni, Marta, Cennamo, Ramona, Chessa, Andrea, Del Vigna, Alessio, Koschny, Detlef, Teodorescu, Ana Maria, Perozzi, Ettore
The NEO Coordination Centre (NEOCC) of the European Space Agency is an operational centre that, among other activities, computes the orbits of near-Earth objects and their probabilities of impact with the Earth. The NEOCC started providing informatio
Externí odkaz:
http://arxiv.org/abs/2411.03763
Autor:
Rahmani, Hossein A., Yilmaz, Emine, Craswell, Nick, Mitra, Bhaskar, Thomas, Paul, Clarke, Charles L. A., Aliannejadi, Mohammad, Siro, Clemencia, Faggioli, Guglielmo
The LLMJudge challenge is organized as part of the LLM4Eval workshop at SIGIR 2024. Test collections are essential for evaluating information retrieval (IR) systems. The evaluation and tuning of a search system is largely based on relevance labels, w
Externí odkaz:
http://arxiv.org/abs/2408.08896
Autor:
Rahmani, Hossein A., Siro, Clemencia, Aliannejadi, Mohammad, Craswell, Nick, Clarke, Charles L. A., Faggioli, Guglielmo, Mitra, Bhaskar, Thomas, Paul, Yilmaz, Emine
The first edition of the workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) took place in July 2024, co-located with the ACM SIGIR Conference 2024 in the USA (SIGIR 2024). The aim was to bring information retriev
Externí odkaz:
http://arxiv.org/abs/2408.05388
Autor:
Islam, Tousif, Faggioli, Guglielmo, Khanna, Gaurav, Field, Scott E., van de Meent, Maarten, Buonanno, Alessandra
We investigate the late-time tail behavior in gravitational waves from merging eccentric binary black holes (BBH) using black hole perturbation theory. For simplicity, we focus only on the dominant quadrupolar mode of the radiation. We demonstrate th
Externí odkaz:
http://arxiv.org/abs/2407.04682
Autor:
Faggioli, Guglielmo, van de Meent, Maarten, Buonanno, Alessandra, Gamboa, Aldo, Khalil, Mohammed, Khanna, Gaurav
In this work, we test an effective-one-body radiation-reaction force for eccentric planar orbits of a test mass in a Kerr background, which contains third-order post-Newtonian (PN) non-spinning and second-order PN spin contributions. We compare the a
Externí odkaz:
http://arxiv.org/abs/2405.19006
Ensuring the effectiveness of search queries while protecting user privacy remains an open issue. When an Information Retrieval System (IRS) does not protect the privacy of its users, sensitive information may be disclosed through the queries sent to
Externí odkaz:
http://arxiv.org/abs/2405.09306
Autor:
Fenucci, Marco, Micheli, Marco, Gianotto, Francesco, Faggioli, Laura, Oliviero, Dario, Porru, Andrea, Rudawska, Regina, Cano, Juan Luis, Conversi, Luca, Moissl, Richard
Context: The measurement of the Yarkovsky effect on near-Earth asteroids (NEAs) is common practice in orbit determination today, and the number of detections will increase with the developments of new and more accurate telescopic surveys. However, th
Externí odkaz:
http://arxiv.org/abs/2311.10175
Autor:
Gianmarco Ingrosso, Veronica Nisticò, Francesco Lombardi, Benedetta Morlacchi, Anna Chiara Cigognini, Margherita Oresti, Raffaella Faggioli, Anna Mottaran, Carolina Alberta Redaelli, Martina Tramontano, Laura Ranzini, Simona Anselmetti, Sara Bertelli, Orsola Gambini, Benedetta Demartini
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study examined the presence of autistic traits in a sample of adult women diagnosed with different Eating Disorders (ED), and explored the concurrent role of autistic traits and sensory sensitivity in influencing both their eating disor
Externí odkaz:
https://doaj.org/article/85360e841fc04a6dabe42d069c0fac0c
Autor:
Faggioli, Guglielmo, Dietz, Laura, Clarke, Charles, Demartini, Gianluca, Hagen, Matthias, Hauff, Claudia, Kando, Noriko, Kanoulas, Evangelos, Potthast, Martin, Stein, Benno, Wachsmuth, Henning
When asked, large language models (LLMs) like ChatGPT claim that they can assist with relevance judgments but it is not clear whether automated judgments can reliably be used in evaluations of retrieval systems. In this perspectives paper, we discuss
Externí odkaz:
http://arxiv.org/abs/2304.09161
Autor:
Guglielmo Faggioli, Laura Menotti, Stefano Marchesin, Adriano Chió, Arianna Dagliati, Mamede de Carvalho, Marta Gromicho, Umberto Manera, Eleonora Tavazzi, Giorgio Maria Di Nunzio, Gianmaria Silvello, Nicola Ferro
Publikováno v:
Journal of Biomedical Semantics, Vol 15, Iss 1, Pp 1-28 (2024)
Abstract Automatic disease progression prediction models require large amounts of training data, which are seldom available, especially when it comes to rare diseases. A possible solution is to integrate data from different medical centres. Neverthel
Externí odkaz:
https://doaj.org/article/011335de1b1f4ba89b746177d99a618b