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1
Adversarial frontier stitching for remote neural network watermarking
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Adversarial frontier stitching for remote neural network watermarking

Neural computing & applications, 2020-07, Vol.32 (13), p.9233-9244 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019 ;Springer-Verlag London Ltd., part of Springer Nature 2019. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04434-z

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2
Big data analytics in healthcare: promise and potential
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Big data analytics in healthcare: promise and potential

Health information science and systems, 2014-02, Vol.2 (1), p.3-3, Article 3 [Peer Reviewed Journal]

Raghupathi and Raghupathi; licensee BioMed Central Ltd. 2014 ;COPYRIGHT 2014 BioMed Central Ltd. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2047-2501 ;EISSN: 2047-2501 ;DOI: 10.1186/2047-2501-2-3 ;PMID: 25825667

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3
BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification
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BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification

Journal of cheminformatics, 2019-01, Vol.11 (1), p.2-25, Article 2 [Peer Reviewed Journal]

The Author(s) 2019 ;COPYRIGHT 2019 BioMed Central Ltd. ;Journal of Cheminformatics is a copyright of Springer, (2019). All Rights Reserved. © 2019. 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. ;Attribution ;ISSN: 1758-2946 ;EISSN: 1758-2946 ;DOI: 10.1186/s13321-018-0324-5 ;PMID: 30612223

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4
Supercell program: a combinatorial structure-generation approach for the local-level modeling of atomic substitutions and partial occupancies in crystals
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Supercell program: a combinatorial structure-generation approach for the local-level modeling of atomic substitutions and partial occupancies in crystals

Journal of cheminformatics, 2016-03, Vol.8 (1), p.17-17, Article 17 [Peer Reviewed Journal]

Okhotnikov et al. 2016 ;COPYRIGHT 2016 BioMed Central Ltd. ;Journal of Cheminformatics is a copyright of Springer, 2016. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1758-2946 ;EISSN: 1758-2946 ;DOI: 10.1186/s13321-016-0129-3 ;PMID: 27042215

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5
Deep learning for music generation: challenges and directions
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Deep learning for music generation: challenges and directions

Neural computing & applications, 2020-02, Vol.32 (4), p.981-993 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;Neural Computing and Applications is a copyright of Springer, (2018). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3813-6

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6
A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems
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A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems

Cognitive computation, 2016-10, Vol.8, p.924-934 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1866-9956 ;EISSN: 1866-9964 ;DOI: 10.1007/s12559-016-9389-5

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7
From artificial neural networks to deep learning for music generation: history, concepts and trends
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From artificial neural networks to deep learning for music generation: history, concepts and trends

Neural computing & applications, 2021, Vol.33 (1), p.39-65 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2020 ;Springer-Verlag London Ltd., part of Springer Nature 2020. ;Copyright ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-020-05399-0

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8
AutoML: state of the art with a focus on anomaly detection, challenges, and research directions
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AutoML: state of the art with a focus on anomaly detection, challenges, and research directions

International Journal of Data Science and Analytics, 2022-08 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2364-415X ;DOI: 10.1007/s41060-022-00309-0

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9
Efficient palmprint biometric identification systems using deep learning and feature selection methods
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Efficient palmprint biometric identification systems using deep learning and feature selection methods

Neural computing & applications, 2022-07, Vol.34 (14), p.12119-12141 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. 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. ;Attribution ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-022-07098-4

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10
Critical Assessment of Small Molecule Identification 2016: automated methods
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Critical Assessment of Small Molecule Identification 2016: automated methods

Journal of cheminformatics, 2017-03, Vol.9 (1), p.22-21, Article 22 [Peer Reviewed Journal]

The Author(s) 2017 ;Journal of Cheminformatics is a copyright of Springer, 2017. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1758-2946 ;EISSN: 1758-2946 ;DOI: 10.1186/s13321-017-0207-1 ;PMID: 29086042

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11
Human migration: the big data perspective
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Human migration: the big data perspective

International Journal of Data Science and Analytics, 2021-05, Vol.11 (4), p.341-360 [Peer Reviewed Journal]

The Author(s) 2020 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2364-415X ;EISSN: 2364-4168 ;DOI: 10.1007/s41060-020-00213-5

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12
Motion2Language, Unsupervised Learning of Synchronized Semantic Motion Segmentation
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Motion2Language, Unsupervised Learning of Synchronized Semantic Motion Segmentation

Neural computing & applications, 2024-03, Vol.36 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-023-09227-z

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13
Sliding mode control-based fixed-time stabilization and synchronization of inertial neural networks with time-varying delays
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Sliding mode control-based fixed-time stabilization and synchronization of inertial neural networks with time-varying delays

Neural computing & applications, 2021-09, Vol.33 (18), p.11555-11572 [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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-05833-x

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14
The Non-stationary Stochastic Multi-armed Bandit Problem
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The Non-stationary Stochastic Multi-armed Bandit Problem

International Journal of Data Science and Analytics, 2017-06, Vol.3 (4) [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2364-415X ;DOI: 10.1007/s41060-017-0050-5

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15
Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI
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Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI

Neuroinformatics (Totowa, N.J.), 2021, Vol.19 (1), p.93-106 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1539-2791 ;EISSN: 1559-0089 ;DOI: 10.1007/s12021-020-09473-9 ;PMID: 32562187

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16
A new hybrid model of convolutional neural networks and hidden Markov chains for image classification
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A new hybrid model of convolutional neural networks and hidden Markov chains for image classification

Neural computing & applications, 2023-05, Vol.35 (24), p.17987-18002 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-023-08644-4

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17
3D visual saliency and convolutional neural network for blind mesh quality assessment
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3D visual saliency and convolutional neural network for blind mesh quality assessment

Neural computing & applications, 2020-11, Vol.32 (21), p.16589-16603 [Peer Reviewed Journal]

Springer-Verlag London Ltd., part of Springer Nature 2019 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04521-1

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18
A tree-BLSTM-based recognition system for online handwritten mathematical expressions
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A tree-BLSTM-based recognition system for online handwritten mathematical expressions

Neural computing & applications, 2020-05, Vol.32 (9), p.4689-4708 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2018 ;The Natural Computing Applications Forum 2018. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-3817-2

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19
Observation error covariance specification in dynamical systems for data assimilation using recurrent neural networks
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Article
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Observation error covariance specification in dynamical systems for data assimilation using recurrent neural networks

Neural computing & applications, 2022-08, Vol.34 (16), p.13149-13167 [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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-021-06739-4

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20
Spike time displacement-based error backpropagation in convolutional spiking neural networks
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Spike time displacement-based error backpropagation in convolutional spiking neural networks

Neural computing & applications, 2023-07 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-023-08567-0

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