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161

An Enhanced Neural Word Embedding Model for Transfer Learning
Md. Kowsher ; Md. Shohanur Islam Sobuj ; Md. Fahim Shahriar ; et al.
Applied Sciences, Vol 12, Iss 6, p 2848 (2022)

Bangla NLP BanglaLM text classification toolkit web crawler word embedding …
Fachzeitschrift
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162

A TDD Framework for Automated Monitoring in Internet of Things with Machine Learning
Victor Takashi Hayashi ; Wilson Vicente Ruggiero ; Júlio Cezar Estrella ; et al.
Sensors, Vol 22, Iss 23, p 9498 (2022)

IoT machine learning software engineering TDD testbed Chemical technology …
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163

Characterization and Classification of Electrophysiological Signals Represented as Visibility Graphs Using the Maxclique Graph
Erika Elizabeth Rodriguez-Torres ; Ulises Paredes-Hernandez ; Enrique Vazquez-Mendoza ; et al.
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)

visibility graphs graph theory maxcliques electrophysiological sig... deep learning pre-Bötzinger complex …
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164

AFND: Arabic fake news dataset for the detection and classification of articles credibility
Ashwaq Khalil ; Moath Jarrah ; Monther Aldwairi ; et al.
Data in Brief, Vol 42, Iss , Pp 108141- (2022)

Arabic news dataset Arabic fake news Article credibility Weak labeling Detection Classification …
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165

Genetic stratification based on biological networks in autism spectrum disorders
Stratification génétique des troubles du spectre autistique basée sur des réseaux biologiques
Kim, Yang-Min ; Dept Phys. ; EMAT ; et al.
Genetics. Université Paris Cité, 2020. English. ⟨NNT : 2020UNIP5064⟩

Biological networks Genotype-phenotype assoc... Clustering Network Based Stratifica... Genetic stratification Clinical stratification …
Dissertation
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166

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

TLS SSL značky značkování otisk otisky …
Dissertation
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167

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

E-Ressource
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168

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

E-Ressource
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171

BiCoN: network-constrained biclustering of patients and omics data.
Lazareva, Olga ; Canzar, Stefan ; Yuan, Kevin ; et al.
Bioinformatics. 8/15/2021, Vol. 37 Issue 16, p2398-2404. 7p.

BREAST cancer ROBUST optimization GENE regulatory networks GENE expression MOLECULAR interactions LUNG cancer
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172

Machine learning for libraries with Python libraries: practical case in the Library of Congress of Chile.
Lorca González, Marcelo
South African Journal of Libraries & Information Science. 2024, Vol. 90 Issue 2, p1-7. 7p.

ARTIFICIAL intelligence MACHINE learning K-means clustering DATA libraries LIBRARY technical servic...
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174

R/PY-SUMMA: An R/Python Package for Unsupervised Ensemble Learning for Binary Classification Problems in Bioinformatics.
Ahsen, Mehmet Eren ; Vogel, Robert ; Stolovitzky, Gustavo A.
Journal of Computational Biology. Sep2020, Vol. 27 Issue 9, p1337-1340. 4p.

PYTHON programming langu... FORECASTING ALGORITHMS GENE regulatory networks SOMATIC mutation BIOINFORMATICS
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175

Approximate em learning on large computer clusters
Zhenwen Dai ; The Pennsylvania State University CiteSeerX Archives
http://fias.uni-frankfurt.de/%7Edai/pdfs/BornsheinEtAl2010.pdf.

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176

Inference of Local Climate Zones from GIS Data, and Comparison to WUDAPT Classification and Custom-Fit Clusters
Fadel Muhammad ; Changkun Xie ; Julian Vogel ; et al.
Land, Vol 11, Iss 5, p 747 (2022)

urban heat island (UHI) local climate zones (LCZ... WUDAPT LCZ generator k-means clustering Agriculture
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178

Ensemble deep learning of embeddings for clustering multimodal single-cell omics data.
Yu, Lijia ; Liu, Chunlei ; Yang, Jean Yee Hwa ; et al.
Bioinformatics. Jun2023, Vol. 39 Issue 6, p1-9. 9p.

DEEP learning PYTHON programming langu... GENE expression
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180

Machine Learning for Unsupervised Fraud Detection
Domingues, Rémi ; Domingues, Rémi

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