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Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning.

• Authors : Grazioli, Silvia¹; Crippa, Alessandro¹; Rosi, Eleonora¹

• Source: European Child & Adolescent Psychiatry. Jan2024, Vol. 33 Issue 1, p139-149. 11p.

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Can we predict firms' innovativeness? The identification of innovation performers in an Italian region through a supervised learning approach.

• Authors : Gandin I; Research Unit, Area Science Park, Trieste, Italy.; Cozza C

Subjects: Commerce* ; Models, Theoretical* ; Supervised Machine Learning*

• Source: PloS one [PLoS One] 2019 Jun 11; Vol. 14 (6), pp. e0218175. Date of Electronic Publication: 2019 Jun 11 (Print Publication: 2019).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Application of Supervised Machine Learning Technique on LiDAR Data for Monitoring Coastal Land Evolution.

• Authors : Barbarella, Maurizio¹ (AUTHOR) ; Di Benedetto, Alessandro² (AUTHOR) ; Fiani, Margherita² (AUTHOR)

• Source: Remote Sensing. Dec2021, Vol. 13 Issue 23, p4782. 1p.

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Coral reef fish detection and recognition in underwater videos by supervised machine learning : Comparison between Deep Learning and HOG+SVM methods

• Authors : Villon, Sébastien; Chaumont, Marc; Subsol, Gérard ...

Subjects: [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]Lecce; ItalyLecce, Italy

• Source: ACIVS 2016 - 17th International Conference on Advanced Concepts for Intelligent Vision Systems ; https://hal.science/hal-01374123 ; ACIVS 2016 - 17th International Conference on Advanced Concepts for

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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, Ephrem¹ (AUTHOR) ; Piccard, Isabelle² (AUTHOR); Catellani, Marcello^1,3 (AUTHOR)

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

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Choosing the Decision Hyper-parameter for Some Cautious Classifiers

• Authors : Imoussaten, Abdelhak;

Subjects: Cautious classification; Imprecise classification; Belief functionsMilan; Italy

• Source: IPMU 2022 - Information Processing and Management of Uncertainty in Knowledge-Based Systems ; https://hal.science/hal-03712660 ; IPMU 2022 - Information Processing and Management of Uncertainty in

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

• Authors : de Girolamo, Giovanni¹ (AUTHOR) ; Ferrari, Clarissa² (AUTHOR); Candini, Valentina¹ (AUTHOR)

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

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The extra‐legal governance of corruption: Tracing the organization of corruption in public procurement.

• Authors : Fazekas, Mihály¹ (AUTHOR) ; Sberna, Salvatore² (AUTHOR); Vannucci, Alberto³ (AUTHOR)

• Source: Governance. Oct2022, Vol. 35 Issue 4, p1139-1161. 23p.

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

• Authors : Cerqua, Augusto¹ (AUTHOR); Di Stefano, Roberta² (AUTHOR); Letta, Marco¹ (AUTHOR)

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

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

• Authors : Agrillo, Emiliano¹ (AUTHOR) ; Filipponi, Federico¹ (AUTHOR) ; Pezzarossa, Alice¹ (AUTHOR)

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

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