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Journal of Machine Learning for Modeling and Computing
Free Online Access

ISSN Imprimir: 2689-3967
ISSN On-line: 2689-3975

Archive Files

Volume 3, 2022 / Edição 2

SPECIAL ISSUE:MACHINE LEARNING TECHNIQUES FOR APPLICATIONS IN SUSTAINABILITY RESEARCH
GUEST EDITORS: VALENTINA CIRIELLO& DANIEL M. TARTAKOVSKY


DOI: 10.1615/JMachLearnModelComput.v3.i2

Table of Contents:

MACHINE LEARNING TECHNIQUES FOR APPLICATIONS IN SUSTAINABILITY RESEARCH
v-vi páginas
DOI: 10.1615/JMachLearnModelComput.2022045267
IMPUTATION OF CONTIGUOUS GAPS AND EXTREMES OF SUBHOURLY GROUNDWATER TIME SERIES USING RANDOM FORESTS
1-22 páginas
DOI: 10.1615/JMachLearnModelComput.2021038774
MULTISTEP AND CONTINUOUS PHYSICS-INFORMED NEURAL NETWORK METHODS FOR LEARNING GOVERNING EQUATIONS AND CONSTITUTIVE RELATIONS
23-46 páginas
DOI: 10.1615/JMachLearnModelComput.2022041787
INVERSE ANALYSIS WITH VARIATIONAL AUTOENCODERS: A COMPARISON OF SHALLOW AND DEEP NETWORKS
47-70 páginas
DOI: 10.1615/JMachLearnModelComput.2022042093
GAUSSIAN PROCESS REGRESSION AND CONDITIONAL KARHUNEN-LOÈVE EXPANSION FOR FORWARD UNCERTAINTY QUANTIFICATION AND INVERSE MODELING IN THE PRESENCE OF MEASUREMENT NOISE
71-86 páginas
DOI: 10.1615/JMachLearnModelComput.2022041893
ELECTRIC LOAD AND POWER FORECASTING USING ENSEMBLE GAUSSIAN PROCESS REGRESSION
87-110 páginas
DOI: 10.1615/JMachLearnModelComput.2022041871
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