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Refinado por: Nome da Publicação: Machine Learning remover
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1
Neural predictor-based automated graph classifier framework
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Neural predictor-based automated graph classifier framework

Oloulade, Babatounde Moctard ; Gao, Jianliang ; Chen, Jiamin ; Al-Sabri, Raeed ; Lyu, Tengfei

Machine learning, 2023-04, Vol.112 (4), p.1315-1335 [Periódico revisado por pares]

New York: Springer US

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2
A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation
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A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation

Bordes, Antoine ; Glorot, Xavier ; Weston, Jason ; Bengio, Yoshua

Machine learning, 2014-02, Vol.94 (2), p.233-259 [Periódico revisado por pares]

New York: Springer US

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3
A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions
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A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions

Fernández, Javier ; Bornn, Luke ; Cervone, Daniel

Machine learning, 2021-06, Vol.110 (6), p.1389-1427 [Periódico revisado por pares]

New York: Springer US

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4
Manas: multi-agent neural architecture search
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Manas: multi-agent neural architecture search

Lopes, Vasco ; Carlucci, Fabio Maria ; Esperança, Pedro M. ; Singh, Marco ; Yang, Antoine ; Gabillon, Victor ; Xu, Hang ; Chen, Zewei ; Wang, Jun

Machine learning, 2024, Vol.113 (1), p.73-96 [Periódico revisado por pares]

New York: Springer US

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5
Beyond confusion matrix: learning from multiple annotators with awareness of instance features
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Beyond confusion matrix: learning from multiple annotators with awareness of instance features

Li, Jingzheng ; Sun, Hailong ; Li, Jiyi

Machine learning, 2023-03, Vol.112 (3), p.1053-1075 [Periódico revisado por pares]

New York: Springer US

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6
Exposing and explaining fake news on-the-fly
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Exposing and explaining fake news on-the-fly

de Arriba-Pérez, Francisco ; García-Méndez, Silvia ; Leal, Fátima ; Malheiro, Benedita ; Burguillo, Juan Carlos

Machine learning, 2024-07, Vol.113 (7), p.4615-4637 [Periódico revisado por pares]

New York: Springer US

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7
Polynomial-based graph convolutional neural networks for graph classification
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Polynomial-based graph convolutional neural networks for graph classification

Pasa, Luca ; Navarin, Nicolò ; Sperduti, Alessandro

Machine learning, 2022-04, Vol.111 (4), p.1205-1237 [Periódico revisado por pares]

New York: Springer US

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8
Multi-target prediction for dummies using two-branch neural networks
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Multi-target prediction for dummies using two-branch neural networks

Iliadis, Dimitrios ; De Baets, Bernard ; Waegeman, Willem

Machine learning, 2022-02, Vol.111 (2), p.651-684 [Periódico revisado por pares]

New York: Springer US

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9
Symbolic DNN-Tuner
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Symbolic DNN-Tuner

Fraccaroli, Michele ; Lamma, Evelina ; Riguzzi, Fabrizio

Machine learning, 2022-02, Vol.111 (2), p.625-650 [Periódico revisado por pares]

New York: Springer US

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10
ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model
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ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model

Zhao, Xing ; Papagelis, Manos ; An, Aijun ; Chen, Bao Xin ; Liu, Junfeng ; Hu, Yonggang

Machine learning, 2021-10, Vol.110 (10), p.2867-2903 [Periódico revisado por pares]

New York: Springer US

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