• Search: Applied Supervised Learning with Python

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2

Univariate machine learning models applied in photovoltaic power prediction using Python.
Bahanni, Caouthar ; Mabrouki, Mustapha
Energy Sources Part A: Recovery, Utilization & Environmental Effects. 2023, Vol. 45 Issue 1, p589-607. 19p.

Machine learning Supervised learning Python programming langu... Computer programming Random forest algorithms Statistical correlation
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3

Applied Supervised Learning with Python
Johnston, Benjamin ; Mathur, Ishita ; Johnston, Benjamin ; et al.

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4

Learning from Teachers: AI-Driven Feedback for a High School Python Serious Game
Branthôme, Matthieu ; Lallé, Sébastien ; Centre National de la Recherche Scientifique (CNRS) ; et al.
The 12th 2025 ACM Learning @ Scale Conference, Jul 2025, Palermo, Italy. ⟨10.1145/3698205.3729543⟩

Palermo, Italy Pyrates User study Personalized feedback Learning programming Serious game …
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5

Applied machine learning with Python
Andrea Giussani ; Andrea Giussani

MACHINE LEARNING, PYTHON... MACHINE LEARNING, SUPERV...
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6

GeoTS: A TSC framework for estimating geological formation to model carbon storage reservoirs
Salimath, Shwetha ; Bugiotti, Francesca ; Wlodarczyk, Sylvain ; et al.
SIGKDD. :4773-4783

Toronto, Canada Deep Learning Time serie... Machine Learning • Applied computing → En... Linear algebra algorithm... Feature selection …
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7

GLDADec: marker-gene guided LDA modeling for bulk gene expression deconvolution.
Azuma, Iori ; Mizuno, Tadahaya ; Kusuhara, Hiroyuki
Briefings in Bioinformatics. Jul2024, Vol. 25 Issue 4, p1-13. 13p.

GENE expression PYTHON programming langu... SUPERVISED learning CELL analysis SURVIVAL analysis (Biome...
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8

Hybrid Newton method for the acceleration of well event handling in the simulation of CO2 storage using supervised learning
Lechevallier, Antoine ; Desroziers, Sylvain ; Faney, Thibault ; et al.
Computers & Geosciences. 197:105872-105872

CO2 storage Reservoir simulation Newton method Non-linear preconditioni... Machine learning Fourier Neural Operator …
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9

Analysing semi-supervised learning for image classification using compact networks in the biomedical context.
Inés, Adrián ; Díaz-Pinto, Andrés ; Domínguez, César ; et al.
Soft Computing - A Fusion of Foundations, Methodologies & Applications. Aug2024, Vol. 28 Issue 15/16, p8931-8943. 13p.

SUPERVISED learning IMAGE recognition (Compu... MOBILE apps SMARTPHONES DEEP learning
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10

The rise of nonnegative matrix factorization: Algorithms and applications
Guo, Yi-Ting ; Li, Qin-Qin ; Liang, Chun-Sheng
In Information Systems July 2024 123

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11

Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia.
Zemariam, Alemu Birara ; Yimer, Ali ; Abebe, Gebremeskel Kibret ; et al.
Scientific Reports. 4/20/2024, Vol. 14 Issue 1, p1-17. 17p.

ETHIOPIA SUPERVISED learning CLASSIFICATION algorithm... ASSOCIATION rule mining YOUNG women ANEMIA …
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12

Simulating the rate of prediction error in rainfall big data forecasting.
Pargunaraj, Umaeswari ; Gengi, Geethamahalakshmi ; Narayanaswamy, Hariharan ; et al.
AIP Conference Proceedings. 2025, Vol. 3159 Issue 1, p1-6. 6p.

MACHINE learning SUPERVISED learning DATA mining BIG data DROUGHTS
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13

Orchid: a novel management, annotation and machine learning framework for analyzing cancer mutations
Cario, Clinton L ; Witte, John S
Bioinformatics. 34(6)

46 Information and Compu... 31 Biological Sciences (... 3102 Bioinformatics and... 4601 Applied Computing (... Networking and Informati... Cancer (rcdc) …
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14

Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python
Lemenkova, Polina ; Alma Mater Studiorum Università di Bologna = University of Bologna (UNIBO) ; Free University of Bozen-Bolzano
Examples and Counterexamples. 7:100180-100180

Machine Learning Geoinformation Cartography Informatics Remote sensing Satellite image …
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15

Regression trees for fast and adaptive prediction intervals
Cabezas, Luben M.C. ; Otto, Mateus P. ; Izbicki, Rafael ; et al.
In Information Sciences January 2025 686

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16

Hetnet connectivity search provides rapid insights into how biomedical entities are related.
Himmelstein, Daniel S ; Zietz, Michael ; Rubinetti, Vincent ; et al.
GigaScience. 2023, Vol. 12 Issue 1, p1-16. 16p.

PYTHON programming langu... SUPERVISED learning KNOWLEDGE graphs DRUG repositioning BREAST cancer
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17

Extending DEAP with Active Sampling for Evolutionary Supervised Learning
Ben Hamida, Sana ; Benjelloun, Ghita ; Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision (LAMSADE) ; et al.
Proceedings of the 16th International Conference on Software Technologies, ICSOFT 2021, Aug 2021, Online Streaming, France

Online Streaming, France Genetic Programming DEAP active learning random sampling weighted sampling …
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18

Chapter 5 - Supervised learning
In Machine Learning Guide for Oil and Gas Using Python 2021:169-295

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19

Human activity data discovery from triaxial accelerometer sensor: Non-supervised learning sensitivity to feature extraction parametrization
Machado, Inês P. ; Luísa Gomes, A. ; Gamboa, Hugo ; et al.
In Information Processing and Management March 2015 51(2):204-214

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20

ESSR-GAN: Enhanced super and semi supervised remora resolution based generative adversarial learning framework model for smartphone based road damage detection
Deepa, D ; Sivasangari, A
Multimedia Tools and Applications: An International Journal. 83(2):5099-5129

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