Search Results

Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear.

• Authors : Leonelli, Manuele; Varando, Gherardo

Subjects: MACHINE learning; BAYESIAN analysis; COVID-19 pandemicITALY

• Source: Applied Intelligence; Jan2024, Vol. 54 Issue 2, p1734-1750, 17p

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Populism and emotions: a comparative study using Machine Learning.

• Authors : Caiani, Manuela; Di Cocco, Jessica

Subjects: SUPERVISED learning; MACHINE learning; POLITICAL communicationITALY

• Source: Rivista Italiana di Scienza Politica; Nov2023, Vol. 53 Issue 3, p351-366, 16p

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Machine Learning Techniques for Pile-Up Rejection in Cryogenic Calorimeters.

• Authors : Fantini, G.; Armatol, A.; Armengaud, E.

Subjects: NEUTRINOLESS double beta decay; DOUBLE beta decay; NEUTRINO massITALY

• Source: Journal of Low Temperature Physics; Dec2022, Vol. 209 Issue 5/6, p1024-1031, 8p

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Psychological well-being during the COVID-19 pandemic in Italy assessed in a four-waves survey.

• Authors : de Girolamo, Giovanni; Ferrari, Clarissa; Candini, Valentina

Subjects: COVID-19 pandemic; PSYCHOLOGICAL well-being; LOGISTIC regression analysisITALY

• Source: Scientific Reports; 10/26/2022, Vol. 12 Issue 1, p1-12, 12p

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Direct evidence that late Neanderthal occupation precedes a technological shift in southwestern Italy.

• Authors : Oxilia, Gregorio; Bortolini, Eugenio; Marciani, Giulia

Subjects: NEANDERTHALS; SUPERVISED learning; MOLARSITALY

• Source: American Journal of Biological Anthropology; Sep2022, Vol. 179 Issue 1, p18-30, 13p

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Local mortality estimates during the COVID-19 pandemic in Italy.

• Authors : Cerqua, Augusto; Di Stefano, Roberta; Letta, Marco

Subjects: COVID-19 pandemic; SUPERVISED learning; DEATH rateITALY

• Source: Journal of Population Economics; Oct2021, Vol. 34 Issue 4, p1189-1217, 29p, 5 Charts, 4 Maps

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A radiomic machine learning model to predict prostate cancer response to CyberKnife treatment.

• Authors : Zanetti, Isa Bossi; Interlenghi, Matteo; Salvatore, Christian

Subjects: PROSTATE cancer; SUPERVISED learning; MACHINE learningMILAN (Italy); ITALY

• Source: Journal of Radiosurgery & SBRT; 2022 Supplement, Vol. 8, p58-58, 1/2p

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Evaluation of Supervised Learning Models in Predicting Greenhouse Energy Demand and Production for Intelligent and Sustainable Operations.

• Authors : Ouazzani Chahidi, Laila; Fossa, Marco; Priarone, Antonella

Subjects: GREENHOUSES; INTELLIGENT buildings; SUPERVISED learningITALY

• Source: Energies (19961073); Oct2021, Vol. 14 Issue 19, p6297-6297, 1p

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Earth Observation and Biodiversity Big Data for Forest Habitat Types Classification and Mapping.

• Authors : Agrillo, Emiliano; Filipponi, Federico; Pezzarossa, Alice

Subjects: AIRBORNE lasers; SUPERVISED learning; BIG dataITALY

• Source: Remote Sensing; Apr2021, Vol. 13 Issue 7, p1231, 1p

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Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS".

• Authors : Mancini, Alessio; Vito, Leonardo; Marcelli, Elisa

Subjects: SUPERVISED learning; MACHINE learning; URINARY tract infectionsITALY

• Source: BMC Bioinformatics; 8/21/2020 Supplement 10, Vol. 21 Issue 10, pN.PAG-N.PAG, 1p, 3 Charts, 1 Graph

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Towards Predictive Modeling of Sorghum Biomass Yields Using Fraction of Absorbed Photosynthetically Active Radiation Derived from Sentinel-2 Satellite Imagery and Supervised Machine Learning Techniques.

• Authors : Habyarimana, Ephrem; Piccard, Isabelle; Catellani, Marcello

Subjects: SUPERVISED learning; REMOTE-sensing images; SORGHUMITALY

• Source: Agronomy; Apr2019, Vol. 9 Issue 4, p203-203, 1p

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Simbad 2011.

Subjects: PATTERN recognition systems; ARTIFICIAL intelligence; SUPERVISED learningVENICE (Italy); ITALY

• Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; 05/01/2011, Vol. 33 Issue 5, p1072-1072, 0p

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