Zobrazeno 1 - 10
of 16 262
pro vyhledávání: '"A Gentili"'
Autor:
Hagopian, Raffi, Strebel, Timothy, Bernatz, Simon, Myers, Gregory A, Offerman, Erik, Zuniga, Eric, Kim, Cy Y, Ng, Angie T, Iwaz, James A, Singh, Sunny P, Carey, Evan P, Kim, Michael J, Schaefer, R Spencer, Yu, Jeannie, Gentili, Amilcare, Aerts, Hugo JWL
Coronary artery calcium (CAC) is highly predictive of cardiovascular events. While millions of chest CT scans are performed annually in the United States, CAC is not routinely quantified from scans done for non-cardiac purposes. A deep learning algor
Externí odkaz:
http://arxiv.org/abs/2409.09968
Autor:
Gentili, Giovanni, Vezzoni, Luigi
We consider a general class of elliptic equations on hypercomplex manifolds which includes the quaternionic Monge-Amp\`ere equation, the quaternionic Hessian equation and the Monge-Amp\`ere equation for quaternionic $(n-1)$-plurisubharmonic functions
Externí odkaz:
http://arxiv.org/abs/2409.00420
Short-term earthquake clustering is one of the most important features of seismicity. Clusters are identified using various techniques, generally deterministic and based on spatio-temporal windowing. Conversely, the leading rail in short-term earthqu
Externí odkaz:
http://arxiv.org/abs/2408.16491
Autor:
Gentili, Stefania, Chiappetta, Giuseppe Davide, Petrillo, Giuseppe, Brondi, Piero, Zhuang, Jiancang
The advanced machine learning algorithm NESTORE (Next STrOng Related Earthquake) was developed to forecast strong aftershocks in earthquake sequences and has been successfully tested in Italy, western Slovenia, Greece, and California. NESTORE calcula
Externí odkaz:
http://arxiv.org/abs/2408.12956
Parameter learning is a crucial task in the field of Statistical Relational Artificial Intelligence: given a probabilistic logic program and a set of observations in the form of interpretations, the goal is to learn the probabilities of the facts in
Externí odkaz:
http://arxiv.org/abs/2408.08732
Autor:
Gentili, Emanuele, Falessi, Davide
Context: Software specifications are usually written in natural language and may suffer from imprecision, ambiguity, and other quality issues, called thereafter, requirement smells. Requirement smells can hinder the development of a project in many a
Externí odkaz:
http://arxiv.org/abs/2404.11106
Autor:
Fusi, Elia, Gentili, Giovanni
We provide a detailed treatment of special hyperhermitian metrics on hypercomplex manifolds. The quaternionic Gauduchon and quaternionic balanced conditions are investigated at length: we describe their properties and characterize their existence. We
Externí odkaz:
http://arxiv.org/abs/2401.13056
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
Autor:
He, Zexue, Wang, Yu, Yan, An, Liu, Yao, Chang, Eric Y., Gentili, Amilcare, McAuley, Julian, Hsu, Chun-Nan
Curated datasets for healthcare are often limited due to the need of human annotations from experts. In this paper, we present MedEval, a multi-level, multi-task, and multi-domain medical benchmark to facilitate the development of language models for
Externí odkaz:
http://arxiv.org/abs/2310.14088
Autor:
Yan, An, Wang, Yu, Zhong, Yiwu, He, Zexue, Karypis, Petros, Wang, Zihan, Dong, Chengyu, Gentili, Amilcare, Hsu, Chun-Nan, Shang, Jingbo, McAuley, Julian
Medical image classification is a critical problem for healthcare, with the potential to alleviate the workload of doctors and facilitate diagnoses of patients. However, two challenges arise when deploying deep learning models to real-world healthcar
Externí odkaz:
http://arxiv.org/abs/2310.03182
Autor:
Edoardo Ipponi, Elena Bechini, Martina Cordoni, Fabrizia Gentili, Francesco Rosario Campo, Fabio Cosseddu, Antonio D’Arienzo, Paolo Domenico Parchi, Lorenzo Andreani
Publikováno v:
Folia Medica, Vol 66, Iss 5, Pp 618-628 (2024)
Inroduction: Schwannomas are the most common tumors of the peripheral nervous system. Surgical eradication with excision or enucleation is the treatment for symptomatic and large schwannomas. Aim: Few studies have investigated the clinical outcomes r
Externí odkaz:
https://doaj.org/article/d6e43805f2414f678e031c3c5f620d37
