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What network motifs tell us about resilience and reliability of complex networks
What network motifs tell us about resilience and reliability of complex networks
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What network motifs tell us about resilience and reliability of complex networks

Dey, Asim K. ; Gel, Yulia R. ; Poor, H. Vincent

Proceedings of the National Academy of Sciences - PNAS, 2019-09, Vol.116 (39), p.19368-19373 [Periódico revisado por pares]

United States: National Academy of Sciences

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Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
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Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

Kang, Min-Joo ; Kang, Je-Won Tang, Tieqiao

PloS one, 2016-06, Vol.11 (6), p.e0155781-e0155781 [Periódico revisado por pares]

United States: Public Library of Science

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3
Large-scale transportation network congestion evolution prediction using deep learning theory
Large-scale transportation network congestion evolution prediction using deep learning theory
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Large-scale transportation network congestion evolution prediction using deep learning theory

Ma, Xiaolei ; Yu, Haiyang ; Wang, Yunpeng ; Wang, Yinhai Gomez-Gardenes, Jesus

PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Periódico revisado por pares]

United States: Public Library of Science

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4
Advances in de Novo Drug Design: From Conventional to Machine Learning Methods
Advances in de Novo Drug Design: From Conventional to Machine Learning Methods
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Advances in de Novo Drug Design: From Conventional to Machine Learning Methods

Mouchlis, Varnavas D ; Afantitis, Antreas ; Serra, Angela ; Fratello, Michele ; Papadiamantis, Anastasios G ; Aidinis, Vassilis ; Lynch, Iseult ; Greco, Dario ; Melagraki, Georgia

International journal of molecular sciences, 2021-02, Vol.22 (4), p.1676 [Periódico revisado por pares]

Switzerland: MDPI AG

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5
Consistency and differences between centrality measures across distinct classes of networks
Consistency and differences between centrality measures across distinct classes of networks
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Consistency and differences between centrality measures across distinct classes of networks

Oldham, Stuart ; Fulcher, Ben ; Parkes, Linden ; Arnatkevic Iūtė, Aurina ; Suo, Chao ; Fornito, Alex Hayasaka, Satoru

PloS one, 2019-07, Vol.14 (7), p.e0220061-e0220061 [Periódico revisado por pares]

United States: Public Library of Science

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6
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks
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Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

Pan, Xiaoyong ; Rijnbeek, Peter ; Yan, Junchi ; Shen, Hong-Bin

BMC genomics, 2018-07, Vol.19 (1), p.511-511, Article 511 [Periódico revisado por pares]

England: BioMed Central Ltd

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7
wTO: an R package for computing weighted topological overlap and a consensus network with integrated visualization tool
wTO: an R package for computing weighted topological overlap and a consensus network with integrated visualization tool
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wTO: an R package for computing weighted topological overlap and a consensus network with integrated visualization tool

Gysi, Deisy Morselli ; Voigt, Andre ; Fragoso, Tiago de Miranda ; Almaas, Eivind ; Nowick, Katja

BMC bioinformatics, 2018-10, Vol.19 (1), p.392-392, Article 392 [Periódico revisado por pares]

England: BioMed Central Ltd

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8
Correction: Microbial Gene Ontology informed deep neural network for microbe functionality discovery in human diseases
Correction: Microbial Gene Ontology informed deep neural network for microbe functionality discovery in human diseases
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Correction: Microbial Gene Ontology informed deep neural network for microbe functionality discovery in human diseases

Liu, Yunjie ; Zhang, Yao-Zhong ; Imoto, Seiya

PloS one, 2023-12, Vol.18 (12), p.e0296316-e0296316 [Periódico revisado por pares]

United States: Public Library of Science

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9
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
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Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification

Rueckauer, Bodo ; Lungu, Iulia-Alexandra ; Hu, Yuhuang ; Pfeiffer, Michael ; Liu, Shih-Chii

Frontiers in neuroscience, 2017-12, Vol.11, p.682-682 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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10
CACONET: Ant Colony Optimization (ACO) Based Clustering Algorithm for VANET
CACONET: Ant Colony Optimization (ACO) Based Clustering Algorithm for VANET
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CACONET: Ant Colony Optimization (ACO) Based Clustering Algorithm for VANET

Aadil, Farhan ; Bajwa, Khalid Bashir ; Khan, Salabat ; Chaudary, Nadeem Majeed ; Akram, Adeel Du, Wen-Bo

PloS one, 2016-05, Vol.11 (5), p.e0154080-e0154080 [Periódico revisado por pares]

United States: Public Library of Science

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