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From artificial neural networks to deep learning for music generation: history, concepts and trends
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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2
An expectile computation cookbook
An expectile computation cookbook
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An expectile computation cookbook

Statistics and computing, 2024, Vol.34 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0960-3174 ;EISSN: 1573-1375 ;DOI: 10.1007/s11222-024-10403-x

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3
Predicting the state of synchronization of financial time series using cross recurrence plots
Predicting the state of synchronization of financial time series using cross recurrence plots
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Predicting the state of synchronization of financial time series using cross recurrence plots

Neural computing & applications, 2023-09, Vol.35 (25), p.18519-18531 [Peer Reviewed Journal]

The Author(s) 2023 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-023-08674-y

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4
Coupling algebraic topology theory, formal methods and safety requirements toward a new coverage metric for artificial intelligence models
Coupling algebraic topology theory, formal methods and safety requirements toward a new coverage metric for artificial intelligence models
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Coupling algebraic topology theory, formal methods and safety requirements toward a new coverage metric for artificial intelligence models

Neural computing & applications, 2022-10, Vol.34 (19), p.17129-17144 [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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-022-07363-6

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5
Assessing variable importance in clustering: a new method based on unsupervised binary decision trees
Assessing variable importance in clustering: a new method based on unsupervised binary decision trees
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Assessing variable importance in clustering: a new method based on unsupervised binary decision trees

Computational statistics, 2019-03, Vol.34 (1), p.301-321 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2019 ;Computational Statistics is a copyright of Springer, (2019). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0943-4062 ;EISSN: 1613-9658 ;DOI: 10.1007/s00180-018-0857-0

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