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Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022)

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Cover of 'Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022)'

Table of Contents

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    Book Overview
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    Chapter 1 TooT-BERT-T: A BERT Approach on Discriminating Transport Proteins from Non-transport Proteins
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    Chapter 2 Machine Learning and Deep Learning Techniques for Epileptic Seizures Prediction: A Brief Review
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    Chapter 3 The Covid-19 Decision Support System (C19DSS) – A Mobile App
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    Chapter 4 Towards a Flexible and Portable Workflow for Analyzing miRNA-Seq Neuropsychiatric Data: An Initial Replicability Assessment
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    Chapter 5 The NAD Interactome, Identification of Putative New NAD-Binding Proteins
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    Chapter 6 Multiple Instance Learning Based on Mol2vec Molecular Substructure Embeddings for Discovery of NDM-1 Inhibitors
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    Chapter 7 Towards Improving Bio-Image Segmentation Quality Through Ensemble Post-processing of Deep Learning and Classical 3D Segmentation Pipelines
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    Chapter 8 Exploring Xylella fastidiosa ’s Metabolic Traits Using a GSM Model of the Phytopathogenic Bacterium
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    Chapter 9 Genomic Regions with Atypical Concentration of Inverted Repeats
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    Chapter 10 EvoPPI 2: A Web and Local Platform for the Comparison of Protein–Protein Interaction Data from Multiple Sources from the Same and Distinct Species
Attention for Chapter 2: Machine Learning and Deep Learning Techniques for Epileptic Seizures Prediction: A Brief Review
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Citations

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Chapter title
Machine Learning and Deep Learning Techniques for Epileptic Seizures Prediction: A Brief Review
Chapter number 2
Book title
Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022)
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-17024-9_2
Book ISBNs
978-3-03-117023-2, 978-3-03-117024-9
Authors

Hernández, Marco, Canal-Alonso, Ángel, de la Prieta, Fernando, Rodríguez, Sara, Prieto, Javier, Corchado, Juan Manuel

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%

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