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Results 1 - 20 of 278  for All Library Resources

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1
(CDRGI)-Cancer detection through relevant genes identification
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Article
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(CDRGI)-Cancer detection through relevant genes identification

Neural computing & applications, 2022-06, Vol.34 (11), p.8447-8454 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature 2021. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-05739-8

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2
A novel binary gaining–sharing knowledge-based optimization algorithm for feature selection
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A novel binary gaining–sharing knowledge-based optimization algorithm for feature selection

Neural computing & applications, 2021-06, Vol.33 (11), p.5989-6008 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05375-8

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3
An optimal pruning algorithm of classifier ensembles: dynamic programming approach
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An optimal pruning algorithm of classifier ensembles: dynamic programming approach

Neural computing & applications, 2020-10, Vol.32 (20), p.16091-16107 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-04761-6

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4
FER-net: facial expression recognition using deep neural net
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FER-net: facial expression recognition using deep neural net

Neural computing & applications, 2021-08, Vol.33 (15), p.9125-9136 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature 2021. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05676-y

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5
Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks
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Article
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Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks

Neural computing & applications, 2022, Vol.34 (2), p.1433-1453 [Peer Reviewed Journal]

The Author(s) 2021 ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-06469-7

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6
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning
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Article
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Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning

Neural computing & applications, 2022-03, Vol.34 (5), p.3603-3632 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-06631-1

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7
Improved prediction of software defects using ensemble machine learning techniques
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Improved prediction of software defects using ensemble machine learning techniques

Neural computing & applications, 2021-08, Vol.33 (16), p.10551-10562 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature 2021. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-05811-3

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8
Improving sparsity of coefficients for robust sparse and collaborative representation-based image classification
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Article
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Improving sparsity of coefficients for robust sparse and collaborative representation-based image classification

Neural computing & applications, 2018-11, Vol.30 (10), p.2965-2978 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2017 ;Copyright Springer Science & Business Media 2018 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-017-2900-4

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9
Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals
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Article
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Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals

Neural computing & applications, 2017-10, Vol.28 (10), p.3073-3094 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2016 ;Copyright Springer Science & Business Media 2017 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-016-2612-1

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10
A dual deep neural network with phrase structure and attention mechanism for sentiment analysis: An ablation experiment on Chinese short financial texts
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A dual deep neural network with phrase structure and attention mechanism for sentiment analysis: An ablation experiment on Chinese short financial texts

Neural computing & applications, 2021-09, Vol.33 (17), p.11297-11308 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature 2021 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05652-6

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11
Classification of gene expression patterns using a novel type-2 fuzzy multigranulation-based SVM model for the recognition of cancer mediating biomarkers
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Classification of gene expression patterns using a novel type-2 fuzzy multigranulation-based SVM model for the recognition of cancer mediating biomarkers

Neural computing & applications, 2021-05, Vol.33 (9), p.4263-4281 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;COPYRIGHT 2021 Springer ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05241-7

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12
Crop growth stage estimation prior to canopy closure using deep learning algorithms
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Crop growth stage estimation prior to canopy closure using deep learning algorithms

Neural computing & applications, 2021-03, Vol.33 (5), p.1733-1743 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05064-6

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13
Towards an end-to-end isolated and continuous deep gesture recognition process
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Article
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Towards an end-to-end isolated and continuous deep gesture recognition process

Neural computing & applications, 2022-08, Vol.34 (16), p.13713-13732 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-022-07165-w

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14
Transfer learning and feature fusion for kinship verification
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Article
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Transfer learning and feature fusion for kinship verification

Neural computing & applications, 2020-06, Vol.32 (11), p.7139-7151 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04201-0

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15
Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams
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Article
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Constructing accuracy and diversity ensemble using Pareto-based multi-objective learning for evolving data streams

Neural computing & applications, 2021-06, Vol.33 (11), p.6119-6132 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05386-5

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16
CBR-PSO: cost-based rough particle swarm optimization approach for high-dimensional imbalanced problems
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Article
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CBR-PSO: cost-based rough particle swarm optimization approach for high-dimensional imbalanced problems

Neural computing & applications, 2019-10, Vol.31 (10), p.6345-6363 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;Neural Computing and Applications is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3469-2

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17
A novel recommender system based on FFT with machine learning for predicting and identifying heart diseases
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Article
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A novel recommender system based on FFT with machine learning for predicting and identifying heart diseases

Neural computing & applications, 2019-01, Vol.31 (Suppl 1), p.93-102 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;Copyright Springer Nature B.V. 2019 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3662-3

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18
A new formation of supervised dimensionality reduction method for moving vehicle classification
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Article
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A new formation of supervised dimensionality reduction method for moving vehicle classification

Neural computing & applications, 2021-07, Vol.33 (13), p.7839-7850 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2021 ;Springer-Verlag London Ltd., part of Springer Nature 2021. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05524-z

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19
An adaptive artificial-fish-swarm-inspired fuzzy C-means algorithm
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Article
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An adaptive artificial-fish-swarm-inspired fuzzy C-means algorithm

Neural computing & applications, 2020-11, Vol.32 (22), p.16891-16899 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-03977-x

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20
Research on key technology of pavement object recognition based on machine learning
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Article
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Research on key technology of pavement object recognition based on machine learning

Neural computing & applications, 2020-05, Vol.32 (10), p.5483-5493 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04643-6

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Results 1 - 20 of 278  for All Library Resources

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