Zobrazeno 1 - 10
of 3 564
pro vyhledávání: '"P Galassi"'
Autor:
Zhang, Zheyuan, Li, Yiyang, Le, Nhi Ha Lan, Wang, Zehong, Ma, Tianyi, Galassi, Vincent, Murugesan, Keerthiram, Moniz, Nuno, Geyer, Werner, Chawla, Nitesh V, Zhang, Chuxu, Ye, Yanfang
Diet plays a critical role in human health, yet tailoring dietary reasoning to individual health conditions remains a major challenge. Nutrition Question Answering (QA) has emerged as a popular method for addressing this problem. However, current res
Externí odkaz:
http://arxiv.org/abs/2412.15547
Autor:
Fazzinga, Bettina, Palmieri, Elena, Vestoso, Margherita, Bolognini, Luca, Galassi, Andrea, Furfaro, Filippo, Torroni, Paolo
We present ACME: A Chatbot for asylum-seeking Migrants in Europe. ACME relies on computational argumentation and aims to help migrants identify the highest level of protection they can apply for. This would contribute to a more sustainable migration
Externí odkaz:
http://arxiv.org/abs/2407.09197
Autor:
Mancini, Eleonora, Tanevska, Ana, Galassi, Andrea, Galatolo, Alessio, Ruggeri, Federico, Torroni, Paolo
Current research in machine learning and artificial intelligence is largely centered on modeling and performance evaluation, less so on data collection. However, recent research demonstrated that limitations and biases in data may negatively impact t
Externí odkaz:
http://arxiv.org/abs/2406.04116
Autor:
Zhang, Zheyuan, Wang, Zehong, Hou, Shifu, Hall, Evan, Bachman, Landon, Galassi, Vincent, White, Jasmine, Chawla, Nitesh V., Zhang, Chuxu, Ye, Yanfang
The opioid crisis has been one of the most critical society concerns in the United States. Although the medication assisted treatment (MAT) is recognized as the most effective treatment for opioid misuse and addiction, the various side effects can tr
Externí odkaz:
http://arxiv.org/abs/2403.08820
Autor:
Levitas, Daniel, Hayashi, Soichi, Vinci-Booher, Sophia, Heinsfeld, Anibal, Bhatia, Dheeraj, Lee, Nicholas, Galassi, Anthony, Niso, Guiomar, Pestilli, Franco
Data standardization has become one of the leading methods neuroimaging researchers rely on for data sharing and reproducibility. Data standardization promotes a common framework through which researchers can utilize others' data. Yet, as of today, f
Externí odkaz:
http://arxiv.org/abs/2311.04912
Autor:
Wang, Y., Colandrea, C., Oliveira, D. S., Theiler, C., Reimerdes, H., Body, T., Galassi, D., Martinelli, L., Lee, K., team, TCV
This paper presents a quantitative validation of SOLPS-ITER simulations against the TCV-X21 reference case and provides insights into the neutral dynamics and ionization source distribution in this scenario. TCV-X21 is a well-diagnosed diverted L-mod
Externí odkaz:
http://arxiv.org/abs/2310.17390
Autor:
Joanna Mietlińska-Sauter, Elena Varotto, Elżbieta Żądzińska, Wiesław Lorkiewicz, Francesco Maria Galassi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The anomaly known as a bifid rib is difficult to quantify in bioarchaeological collections not only because of its rarity in the population itself (less than 1.5%), but also because of vulnerability to postmortem damage of this part of the s
Externí odkaz:
https://doaj.org/article/6286898f7cd646ca803d32f169a99e8a
Autor:
Poldrack, Russell A., Markiewicz, Christopher J., Appelhoff, Stefan, Ashar, Yoni K., Auer, Tibor, Baillet, Sylvain, Bansal, Shashank, Beltrachini, Leandro, Benar, Christian G., Bertazzoli, Giacomo, Bhogawar, Suyash, Blair, Ross W., Bortoletto, Marta, Boudreau, Mathieu, Brooks, Teon L., Calhoun, Vince D., Castelli, Filippo Maria, Clement, Patricia, Cohen, Alexander L, Cohen-Adad, Julien, D'Ambrosio, Sasha, de Hollander, Gilles, de la iglesia-Vayá, María, de la Vega, Alejandro, Delorme, Arnaud, Devinsky, Orrin, Draschkow, Dejan, Duff, Eugene Paul, DuPre, Elizabeth, Earl, Eric, Esteban, Oscar, Feingold, Franklin W., Flandin, Guillaume, galassi, anthony, Gallitto, Giuseppe, Ganz, Melanie, Gau, Rémi, Gholam, James, Ghosh, Satrajit S., Giacomel, Alessio, Gillman, Ashley G, Gleeson, Padraig, Gramfort, Alexandre, Guay, Samuel, Guidali, Giacomo, Halchenko, Yaroslav O., Handwerker, Daniel A., Hardcastle, Nell, Herholz, Peer, Hermes, Dora, Honey, Christopher J., Innis, Robert B., Ioanas, Horea-Ioan, Jahn, Andrew, Karakuzu, Agah, Keator, David B., Kiar, Gregory, Kincses, Balint, Laird, Angela R., Lau, Jonathan C., Lazari, Alberto, Legarreta, Jon Haitz, Li, Adam, Li, Xiangrui, Love, Bradley C., Lu, Hanzhang, Maumet, Camille, Mazzamuto, Giacomo, Meisler, Steven L., Mikkelsen, Mark, Mutsaerts, Henk, Nichols, Thomas E., Nikolaidis, Aki, Nilsonne, Gustav, Niso, Guiomar, Norgaard, Martin, Okell, Thomas W, Oostenveld, Robert, Ort, Eduard, Park, Patrick J., Pawlik, Mateusz, Pernet, Cyril R., Pestilli, Franco, Petr, Jan, Phillips, Christophe, Poline, Jean-Baptiste, Pollonini, Luca, Raamana, Pradeep Reddy, Ritter, Petra, Rizzo, Gaia, Robbins, Kay A., Rockhill, Alexander P., Rogers, Christine, Rokem, Ariel, Rorden, Chris, Routier, Alexandre, Saborit-Torres, Jose Manuel, Salo, Taylor, Schirner, Michael, Smith, Robert E., Spisak, Tamas, Sprenger, Julia, Swann, Nicole C., Szinte, Martin, Takerkart, Sylvain, Thirion, Bertrand, Thomas, Adam G., Torabian, Sajjad, Varoquaux, Gael, Voytek, Bradley, Welzel, Julius, Wilson, Martin, Yarkoni, Tal, Gorgolewski, Krzysztof J.
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is meant as a history of how the standard has developed and grown over time.
Externí odkaz:
http://arxiv.org/abs/2309.05768
Autor:
Carpita, M., Février, O., Reimerdes, H., Theiler, C., Duval, B. P., Colandrea, C., Durr-Legoupil-Nicoud, G., Galassi, D., Gorno, S., Huett, E., Loizu, J., Martinelli, L., Perek, A., Simons, L., Sun, G., Tonello, E., Wüthrich, C., team, the TCV
Publikováno v:
Nucl. Fusion 64 046019 (2024)
The Super-X Divertor (SXD) is an alternative divertor configuration leveraging total flux expansion at the Outer Strike Point (OSP). While the extended 2-Point Model (2PM) predicts facilitated detachment access and control in the SXD configuration, t
Externí odkaz:
http://arxiv.org/abs/2306.17692
Autor:
Antici, Francesco, Galassi, Andrea, Ruggeri, Federico, Korre, Katerina, Muti, Arianna, Bardi, Alessandra, Fedotova, Alice, Barrón-Cedeño, Alberto
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues. We use our guidelines to collect NewsSD-ENG, a corpus of 638 objective and 411 subjective sentences extracted from Engl
Externí odkaz:
http://arxiv.org/abs/2305.18034