Zobrazeno 1 - 10
of 2 997
pro vyhledávání: '"Senni A"'
Autor:
Leippold, Markus, Vaghefi, Saeid Ashraf, Stammbach, Dominik, Muccione, Veruska, Bingler, Julia, Ni, Jingwei, Colesanti-Senni, Chiara, Wekhof, Tobias, Schimanski, Tobias, Gostlow, Glen, Yu, Tingyu, Luterbacher, Juerg, Huggel, Christian
This paper presents Climinator, a novel AI-based tool designed to automate the fact-checking of climate change claims. Utilizing an array of Large Language Models (LLMs) informed by authoritative sources like the IPCC reports and peer-reviewed scient
Externí odkaz:
http://arxiv.org/abs/2401.12566
Autor:
Schimanski, Tobias, Senni, Chiara Colesanti, Gostlow, Glen, Ni, Jingwei, Yu, Tingyu, Leippold, Markus
Nature is an amorphous concept. Yet, it is essential for the planet's well-being to understand how the economy interacts with it. To address the growing demand for information on corporate nature disclosure, we provide datasets and classifiers to det
Externí odkaz:
http://arxiv.org/abs/2312.17337
Autor:
Luca Fazzini, Arianna Ghirardi, Raul Limonta, Alice Calabrese, Emilia D'Elia, Paolo Canova, Alessandra Fontana, Aurelia Grosu, Attilio Iacovoni, Paola Ferrari, Renata De Maria, Antonello Gavazzi, Roberta Montisci, Michele Senni, Mauro Gori
Publikováno v:
ESC Heart Failure, Vol 11, Iss 5, Pp 3350-3359 (2024)
Abstract Aims The identification of subjects at higher risk for incident heart failure (HF) with preserved ejection fraction (EF) suitable for more intensive preventive programmes remains challenging. We applied phenomapping to the DAVID‐Berg popul
Externí odkaz:
https://doaj.org/article/d0f75b28c55f4a42bf7c0ee6e3847ae0
Autor:
Ni, Jingwei, Bingler, Julia, Colesanti-Senni, Chiara, Kraus, Mathias, Gostlow, Glen, Schimanski, Tobias, Stammbach, Dominik, Vaghefi, Saeid Ashraf, Wang, Qian, Webersinke, Nicolas, Wekhof, Tobias, Yu, Tingyu, Leippold, Markus
In the face of climate change, are companies really taking substantial steps toward more sustainable operations? A comprehensive answer lies in the dense, information-rich landscape of corporate sustainability reports. However, the sheer volume and c
Externí odkaz:
http://arxiv.org/abs/2307.15770
Autor:
Ni, Jingwei, Bingler, Julia, Colesanti-Senni, Chiara, Kraus, Mathias, Gostlow, Glen, Schimanski, Tobias, Stammbach, Dominik, Vaghefi, Saeid Ashraf, Wang, Qian, Webersinke, Nicolas, Wekhof, Tobias, Yu, Tingyu, Leippold, Markus
This paper introduces a novel approach to enhance Large Language Models (LLMs) with expert knowledge to automate the analysis of corporate sustainability reports by benchmarking them against the Task Force for Climate-Related Financial Disclosures (T
Externí odkaz:
http://arxiv.org/abs/2306.15518
Autor:
Vaghefi, Saeid Ashraf, Wang, Qian, Muccione, Veruska, Ni, Jingwei, Kraus, Mathias, Bingler, Julia, Schimanski, Tobias, Colesanti-Senni, Chiara, Webersinke, Nicolas, Huggel, Christrian, Leippold, Markus
Large Language Models (LLMs) have made significant progress in recent years, achieving remarkable results in question-answering tasks (QA). However, they still face two major challenges: hallucination and outdated information after the training phase
Externí odkaz:
http://arxiv.org/abs/2304.05510
Autor:
Kraus, Mathias, Bingler, Julia Anna, Leippold, Markus, Schimanski, Tobias, Senni, Chiara Colesanti, Stammbach, Dominik, Vaghefi, Saeid Ashraf, Webersinke, Nicolas
Large language models (LLMs) have significantly transformed the landscape of artificial intelligence by demonstrating their ability in generating human-like text across diverse topics. However, despite their impressive capabilities, LLMs lack recent
Externí odkaz:
http://arxiv.org/abs/2304.00116
Publikováno v:
Cost Effectiveness and Resource Allocation, Vol 22, Iss 1, Pp 1-11 (2024)
Abstract Background Hyperkalemia (HK) is frequently present in chronic kidney disease (CKD). Risk factors for HK among CKD patients include comorbidities and renin–angiotensin–aldosterone system inhibitor (RAASi) treatment. Current standard of ca
Externí odkaz:
https://doaj.org/article/8d4d1d3f8b934fc3adf2b91b191b2778
Autor:
Senni, Chiara Colesanti1 (AUTHOR) chiara.colesantisenni@df.uzh.ch, Goel, Skand2 (AUTHOR) skand.goel@spglobal.com
Publikováno v:
Journal of Impact & ESG Investing. Winter2024, Vol. 5 Issue 2, p60-92. 33p.
Autor:
Giulia Grilli, Elisabetta Salvioni, Federica Moscucci, Alice Bonomi, Gianfranco Sinagra, Michele Schaeffer, Jeness Campodonico, Massimo Mapelli, Maddalena Rossi, Cosimo Carriere, Michele Emdin, Massimo Piepoli, Stefania Paolillo, Michele Senni, Claudio Passino, Anna Apostolo, Federica Re, Caterina Santolamazza, Damiano Magrì, Carlo M. Lombardi, Ugo Corrà, Rosa Raimondo, Antonio Cittadini, Annamaria Iorio, Andrea Salzano, Rocco Lagioia, Carlo Vignati, Roberto Badagliacca, Andrea Passantino, Pasquale Perrone Filardi, Michele Correale, Enrico Perna, Davide Girola, Marco Metra, Gaia Cattadori, Marco Guazzi, Giuseppe Limongelli, Gianfranco Parati, Fabiana De Martino, Maria Vittoria Matassini, Francesco Bandera, Maurizio Bussotti, Angela Beatrice Scardovi, Susanna Sciomer, Piergiuseppe Agostoni, MECKI Score Research Group, Armando Ferraretti, Cristina Gussago, Domenico Scrutinio, Donatella Bertipaglia, Elisa Battaia, Michele Moretti, Francesca Pietrucci, Geza Halasz, Bruno Capelli, Giovanna Gallo, Emiliano Fiori, Giovanni Marchese, Giuseppe Pacileo, Fabio Valente, Rossella Vastarella, Rita Gravino, Matilda Shkoza, Nikita Baracchini, Teresa Capovilla, Andrea Di Lenarda, Alberto Maria Marra, Roberta D’Assante, Giulia Crisci, Roberto Ricci, Luca Arcari, Sergio Caravita, Elena Viganò, Stefania Farina, Beatrice Pezzuto, Pietro Palermo, Mauro Contini, Paola Gugliandolo, Irene Mattavelli, Michele Della Rocca
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
BackgroundA sex-based evaluation of prognosis in heart failure (HF) is lacking.Methods and resultsWe analyzed the Metabolic Exercise test data combined with Cardiac and Kidney Indexes (MECKI) score registry, which includes HF with reduced ejection fr
Externí odkaz:
https://doaj.org/article/dd800531adc14f9b826b5f5b2a843ce7