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Intelligent Computing Methodologies: 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part III

1st Edition 2020, 2020

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Intelligent Computing Methodologies: 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part III

1, 2019

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Intelligent Computing Methodologies: 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III

1, 2018

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Recurrent Neural Network for Predicting Transcription Factor Binding Sites

Scientific reports, 2018-10, Vol.8 (1), p.15270-10, Article 15270

2018

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Intelligent Computing Methodologies: 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III

1, 2016

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Intelligent Computing Methodologies: 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III

1, 2017

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A survey on deep learning in DNA/RNA motif mining

Briefings in bioinformatics, 2021-07, Vol.22 (4)

2021

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High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites

IEEE/ACM transactions on computational biology and bioinformatics, 2019-07, Vol.16 (4), p.1184-1192

2019

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Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding

IEEE/ACM transactions on computational biology and bioinformatics, 2020-03, Vol.17 (2), p.679-689

2020

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Graph representation learning in bioinformatics: trends, methods and applications

Briefings in bioinformatics, 2022-01, Vol.23 (1)

2022

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Completed Local Binary Count for Rotation Invariant Texture Classification

IEEE transactions on image processing, 2012-10, Vol.21 (10), p.4492-4497

2012

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Modeling in-vivo protein-DNA binding by combining multiple-instance learning with a hybrid deep neural network

Scientific reports, 2019-06, Vol.9 (1), p.8484-8484, Article 8484

2019

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Novel human microbe-disease association prediction using network consistency projection

BMC bioinformatics, 2017-12, Vol.18 (Suppl 16), p.543-543, Article 543

2017

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Robust and Efficient Subspace Segmentation via Least Squares Regression

Computer Vision – ECCV 2012, 2012, p.347-360

2012

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An efficient local Chan–Vese model for image segmentation

Pattern recognition, 2010-03, Vol.43 (3), p.603-618

2010

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Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks

IEEE/ACM transactions on computational biology and bioinformatics, 2016-01, Vol.13 (1), p.27-35

2016

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Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection

IEEE journal of biomedical and health informatics, 2009-07, Vol.13 (4), p.599-607

2009

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Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes

IEEE/ACM transactions on computational biology and bioinformatics, 2020-09, Vol.17 (5), p.1605-1612

2020

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Image Co-Segmentation via Locally Biased Discriminative Clustering

IEEE transactions on knowledge and data engineering, 2019-11, Vol.31 (11), p.2228-2233

2019

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Intelligent Computing Methodologies: 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part III

1, 2022

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Palmprint verification based on robust line orientation code

Pattern recognition, 2008-05, Vol.41 (5), p.1504-1513

2008

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MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association

IEEE transactions on cybernetics, 2023-01, Vol.53 (1), p.67-75

2023

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GMean—a semi-supervised GRU and K-mean model for predicting the TF binding site

Scientific reports, 2024-01, Vol.14 (1), p.2539-10, Article 2539

2024

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scmFormer Integrates Large‐Scale Single‐Cell Proteomics and Transcriptomics Data by Multi‐Task Transformer

Advanced science, 2024-05, Vol.11 (19), p.e2307835-n/a

2024

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Deep learning-based methods for person re-identification: A comprehensive review

Neurocomputing (Amsterdam), 2019-04, Vol.337, p.354-371

2019

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Intelligent Computing Methodologies: 16th International Conference, ICIC 2020, Bari, Italy, October 2-5, 2020, Proceedings, Part III

Intelligent Computing Methodologies: 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part III

Intelligent Computing Methodologies: 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part III

Recurrent Neural Network for Predicting Transcription Factor Binding Sites

Intelligent Computing Methodologies: 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part III

Intelligent Computing Methodologies: 13th International Conference, ICIC 2017, Liverpool, UK, August 7-10, 2017, Proceedings, Part III

A survey on deep learning in DNA/RNA motif mining

High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites

Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding

Graph representation learning in bioinformatics: trends, methods and applications

Completed Local Binary Count for Rotation Invariant Texture Classification

Modeling in-vivo protein-DNA binding by combining multiple-instance learning with a hybrid deep neural network

Novel human microbe-disease association prediction using network consistency projection

Robust and Efficient Subspace Segmentation via Least Squares Regression

An efficient local Chan–Vese model for image segmentation

Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks

Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection

Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes

Image Co-Segmentation via Locally Biased Discriminative Clustering

Intelligent Computing Methodologies: 18th International Conference, ICIC 2022, Xi'an, China, August 7-11, 2022, Proceedings, Part III

Palmprint verification based on robust line orientation code

MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association

GMean—a semi-supervised GRU and K-mean model for predicting the TF binding site

scmFormer Integrates Large‐Scale Single‐Cell Proteomics and Transcriptomics Data by Multi‐Task Transformer

Deep learning-based methods for person re-identification: A comprehensive review

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