• Suche: Applied Supervised Learning with Python

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201

Intelligent Classification of Surrounding Rock of Tunnel Based on 10 Machine Learning Algorithms
Siguang Zhao ; Mingnian Wang ; Wenhao Yi ; et al.
Applied Sciences, Vol 12, Iss 5, p 2656 (2022)

drill and blast tunnel machine learning measure-while-drilling drilling parameters intelligent surrounding... Technology …
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202

A Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile
Qadir Bux alias Imran Latif ; Zubair Ahmed Memon ; Zafar Mahmood ; et al.
Applied Sciences, Vol 12, Iss 4, p 2040 (2022)

penetration machine learning concrete rigid projectile symbolic regression Technology …
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203

Supervised Classification: The Naive Beyesian Returns to the Old Bailey
Vilja Hulden
The Programming Historian (2014)

bayesian statistics naive bayesian corpus linguistics data mining History (General) D1-2009 …
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204

Regional-scale burned area mapping in Mediterranean regions based on the multitemporal composite integration of Sentinel-1 and Sentinel-2 data
Giandomenico De Luca ; João M. N. Silva ; Giuseppe Modica
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 1678-1705 (2022)

wildland fires geographic object-based... orfeo toolbox (otb) random forest (rf) class... multitemporal composite... sentinel-1 and sentinel-... …
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205

Vytvoření a analýza datové sady TLS komunikace
Ryšavý, Ondřej ; Pluskal, Jan ; Dvořák, Tomáš ; et al.

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206

Vytvoření a analýza datové sady TLS komunikace
Ryšavý, Ondřej ; Pluskal, Jan ; Dvořák, Tomáš ; et al.

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207

A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC)
Furqan Farooq ; Muhammad Nasir Amin ; Kaffayatullah Khan ; et al.
Applied Sciences, Vol 10, Iss 20, p 7330 (2020)

strength concrete prediction genetic engineering prog... Technology Engineering (General). C... TA1-2040 …
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209

Comparative analysis of machine learning models in predicting loss to follow-up: The case of tuberculosis in Bogotá
Guerrero, Diana Azucena ; Rodríguez, Rubén Darío ; Guerrero, Diana Azucena ; et al.
Biomedica; Vol. 45 No. Sp (2025): Publicación anticipada, Medicina digital e inteligencia artificial en salud; Biomédica; Vol. 45 Núm. Sp (2025): Publicación anticipada, Medicina digital e inteligencia artificial en salud; 2590-7379; 0120-4157

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210

Assessing the robustness of automated scoring of divergent thinking tasks with adversarial examples.
Hilker, Yannick ; Forthmann, Boris ; Doebler, Philipp
Psychol Aesthet Creat Arts

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212

VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.
Brindle, Benjamin ; Hull, Thomas Derrick ; Malgaroli, Matteo ; et al.
Psychol Methods

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213

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214

Toward understanding autism heterogeneity: Identifying clinical subgroups and neuroanatomical deviations.
Meijer, Jente ; Hebling Vieira, Bruno ; Elleaume, Camille ; et al.
Journal of Abnormal Psychology; The Journal of Abnormal and Social Psychology; The Journal of Abnormal Psychology; The Journal of Abnormal Psychology and Social Psychology

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215

Tutorial: Artificial neural networks to analyze single-case experimental designs.
Lanovaz, Marc J. ; Bailey, Jordan D.
Psychol Methods

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217

An explainable artificial intelligence handbook for psychologists: Methods, opportunities, and challenges.
Lavelle-Hill, Rosa ; Smith, Gavin ; Deininger, Hannah ; et al.
Psychol Methods

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218

Analysis of Satellite Images Using Deep Learning Techniques and Remotely Piloted Aircraft for a Detailed Description of Tertiary Roads
Moreno Vergara, Maria-Camila ; Sarmiento Iscala, Brayan-Daniel ; Casares Pavia, Fabián-Enrique ; et al.
Facultad de Ingeniería, ISSN 0121-1129, Vol. 30, Nº. 58 (October-December (Continuous Publication)), 2021

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220

How to analyze visual data using zero-shot learning: An overview and tutorial.
Riordan, Benjamin ; Millward, Joshua ; He, Zhen ; et al.
Psychol Methods

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