Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Evelina Lamma"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Integration between constrained optimization and deep networks has garnered significant interest from both research and industrial laboratories. Optimization techniques can be employed to optimize the choice of network structure based not only on los
Externí odkaz:
https://doaj.org/article/e5da235e23364b16b5d40b2104991d52
Publikováno v:
SoftwareX, Vol 17, Iss , Pp 100957- (2022)
The application of deep learning models to increasingly complex contexts has led to a rise in the complexity of the models themselves. Due to this, there is an increase in the number of hyper-parameters (HPs) to be set and Hyper-Parameter Optimizatio
Externí odkaz:
https://doaj.org/article/bf6dce53e56849e5ad5fa0072f65035e
Economic and organizational impact of a clinical decision support system on laboratory test ordering
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-9 (2017)
Abstract Background We studied the impact of a clinical decision support system (CDSS) implemented in a few wards of two Italian health care organizations on the ordering of redundant laboratory tests under different perspectives: (1) analysis of the
Externí odkaz:
https://doaj.org/article/f1764aa108504f4192d81dcbfaf8e058
Publikováno v:
Information, Vol 10, Iss 11, p 335 (2019)
In Bitcoin, if a miner is able to solve a computationally hard problem called proof of work, it will receive an amount of bitcoin as a reward which is the sum of the fees for the transactions included in a block plus an amount inversely proportional
Externí odkaz:
https://doaj.org/article/bc4111f7dbf2416dad22e1350524481d
Autor:
Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, Evelina Lamma
Publikováno v:
Medical & Biological Engineering & Computing. 60:3461-3474
Recently, Artificial Intelligence (AI) and Machine Learning (ML) have been successfully applied to many domains of interest including medical diagnosis. Due to the availability of a large quantity of data, it is possible to build reliable AI systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c23e11b0696530c65f133da184e8cd5b
https://doi.org/10.1007/s11517-022-02674-1
https://doi.org/10.1007/s11517-022-02674-1
Publikováno v:
Electronic Proceedings in Theoretical Computer Science. 364:143-146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a002f0e79294af1c3c476ebfb007afa
https://doi.org/10.4204/eptcs.364.17
https://doi.org/10.4204/eptcs.364.17
Publikováno v:
Theory and Practice of Logic Programming. 21:557-574
Uncertain information is being taken into account in an increasing number of application fields. In the meantime, abduction has been proved a powerful tool for handling hypothetical reasoning and incomplete knowledge. Probabilistic logical models are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68834fe5710f596f91cc45e84ecc48b0
https://doi.org/10.1017/s1471068421000417
https://doi.org/10.1017/s1471068421000417
Hybrid Knowledge Bases based on Lifschitz's logic of Minimal Knowledge with Negation as Failure are a successful approach to combine the expressivity of Description Logics and Logic Programming in a single language. Their syntax, defined by Motik and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e07c7ec9ccd383ff64a27e6b51be1bd
http://arxiv.org/abs/2208.03092
http://arxiv.org/abs/2208.03092
Publikováno v:
Fundamenta Informaticae. 176:321-348
Abductive Logic Programming (ALP) has been proven very effective for formalizing societies of agents, commitments and norms, in particular by mapping the most common deontic operators (obligation, prohibition, permission) to abductive expectations. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b3790786f4230248bd0e397f9a8fd7
https://doi.org/10.3233/fi-2020-1976
https://doi.org/10.3233/fi-2020-1976
Publikováno v:
Machine Learning and Non-volatile Memories ISBN: 9783031038402
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d51570408ab1ffac56ee0a606859e177
https://doi.org/10.1007/978-3-031-03841-9_1
https://doi.org/10.1007/978-3-031-03841-9_1