Intelligent Computing Theories and Application: 16th International Conference, ICIC 2020, Bari, Italy, October 2–5, 2020, Proceedings, Part II (Information ... incl. Internet/Web, and HCI Book 12464)

This this is volume two of the two-volume set of LNCS 12463 and LNCS 12464 that constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology Front Matter ....Pages i-xxii Front Matter ....Pages 1-1 A Novel Clustering-Framework of Gene Expression Data Based on the Combination Between Deep Learning and Self-organizing Map (Yan Cui, Huacheng Gao, Rui Zhang, Yuanyuan Lu, Yuan Xue, Chun-Hou Zheng)....Pages 3-13 Tumor Gene Selection and Prediction via Supervised Correlation Analysis Based F-Score Method (Jia-Jun Cheng, Bo Li)....Pages 14-20 A Machine Learning Based Method to Identify Differentially Expressed Genes (Bolin Chen, Li Gao, Xuequn Shang)....Pages 21-31 Multi-omics Classification on Kidney Samples Exploiting Uncertainty-Aware Models (Marta Lovino, Gianpaolo Bontempo, Giansalvo Cirrincione, Elisa Ficarra)....Pages 32-42 Front Matter ....Pages 43-43 Inference Method for Reconstructing Regulatory Networks Using Statistical Path-Consistency Algorithm and Mutual Information (Yan Yan, Xinan Zhang, Tianhai Tian)....Pages 45-56 Exploring lncRNA-MRNA Regulatory Modules Based on lncRNA Similarity in Breast Cancer (Lei Tian, Shu-Lin Wang, Xing Zhong)....Pages 57-66 Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification (Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan, Xiao Qin et al.)....Pages 67-78 A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites (Siguo Wang, Zhen Shen, Ying He, Qinhu Zhang, Changan Yuan, Xiao Qin et al.)....Pages 79-89 Predicting in-Vitro Transcription Factor Binding Sites with Deep Embedding Convolution Network (Yindong Zhang, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao)....Pages 90-100 Front Matter ....Pages 101-101 Prediction of Membrane Protein Interaction Based on Deep Residual Learning (Tengsheng Jiang, Hongjie Wu, Yuhui Chen, Haiou Li, Jin Qiu, Weizhong Lu et al.)....Pages 103-108 GCNSP: A Novel Prediction Method of Self-Interacting Proteins Based on Graph Convolutional Networks (Lei Wang, Zhu-Hong You, Xin Yan, Kai Zheng, Zheng-Wei Li)....Pages 109-120 Predicting Protein-Protein Interactions from Protein Sequence Using Locality Preserving Projections and Rotation Forest (Xinke Zhan, Zhuhong You, Changqing Yu, Jie Pan, Ruiyang Li)....Pages 121-131 Predicting Protein-Protein Interactions from Protein Sequence Information Using Dual-Tree Complex Wavelet Transform (Jie Pan, Zhu-Hong You, Chang-Qing Yu, Li-Ping Li, Xin-ke Zhan)....Pages 132-142 Front Matter ....Pages 143-143 Biomarkers Selection of Abnormal Functional Connections in Schizophrenia with \( {\mathbf{\ell }}_{{{\mathbf{2,1 - 2}}}} \)-Norm Based Sparse Regularization Feature Selection Method (Na Gao, Chen Qiao, Shun Qi, Kai Ren, Jian Chen, Hanfeng Fang)....Pages 145-158 Front Matter ....Pages 159-159 Identification and Analysis of Genes Involved in Stages of Colon Cancer (Bolin Chen, Teng Wang, Xuequn Shang)....Pages 161-172 Front Matter ....Pages 173-173 Take It or Leave It: (Nimat Ullah, Sander L. Koole, Jan Treur)....Pages 175-187 A Network-Driven Approach for LncRNA-Disease Association Mapping (Lin Yuan, Tao Sun, Jing Zhao, Song Liu, Ai-Min Li, Qin Lu et al.)....Pages 188-197 Front Matter ....Pages 199-199 A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction (Wei Wang, Jiawei Luo, Cong Shen, Nguye Hoang Tu)....Pages 201-215 An Efficient Computational Method to Predict Drug-Target Interactions Utilizing Structural Perturbation Method (Xinguo Lu, Fang Liu, Li Ding, Xinyu Wang, Jinxin Li, Yue Yuan)....Pages 216-226 Predicting Human Disease-Associated piRNAs Based on Multi-source Information and Random Forest (Kai Zheng, Zhu-Hong You, Lei Wang, Hao-Yuan Li, Bo-Ya Ji)....Pages 227-238 Inferring Disease-Associated Piwi-Interacting RNAs via Graph Attention Networks (Kai Zheng, Zhu-Hong You, Lei Wang, Leon Wong, Zhan-Heng Chen)....Pages 239-250 A Novel Improved Algorithm for Protein Classification Through a Graph Similarity Approach (Hsin-Hung Chou, Ching-Tien Hsu, Hao-Ching Wang, Sun-Yuan Hsieh)....Pages 251-261 LncRNA-Disease Association Prediction Based on Graph Neural Networks and Inductive Matrix Completion (Lin Yuan, Jing Zhao, Tao Sun, Xue-Song Jiang, Zhen-Yu Yang, Xin-Gang Wang et al.)....Pages 262-269 Prediction of lncRNA-miRNA Interactions via an Embedding Learning Graph Factorize Over Heterogeneous Information Network (Ji-Ren Zhou, Zhu-Hong You, Li Cheng, Xi Zhou, Hao-Yuan Li)....Pages 270-278 Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information (Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Zhan-Heng Chen, Hai-Cheng Yi, Yan-Bin Wang)....Pages 279-289 Identification of Rice Drought-Resistant Gene Based on Gene Expression Profiles and Network Analysis Algorithm (Yujia Gao, Yiqiong Chen, Zhiyu Ma, Tao Zeng, Iftikhar Ahmad, Youhua Zhang et al.)....Pages 290-301 Identification of Human LncRNA-Disease Association by Fast Kernel Learning-Based Kronecker Regularized Least Squares (Wen Li, Shu-Lin Wang, Junlin Xu, Jialiang Yang)....Pages 302-315 A Gaussian Kernel Similarity-Based Linear Optimization Model for Predicting miRNA-lncRNA Interactions (Leon Wong, Zhu-Hong You, Yu-An Huang, Xi Zhou, Mei-Yuan Cao)....Pages 316-325 Identification of Autistic Risk Genes Using Developmental Brain Gene Expression Data (Zhi-An Huang, Yu-An Huang, Zhu-Hong You, Shanwen Zhang, Chang-Qing Yu, Wenzhun Huang)....Pages 326-338 A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model (Hai-Cheng Yi, Zhu-Hong You, Xiao-Rui Su, De-Shuang Huang, Zhen-Hao Guo)....Pages 339-347 Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network (Zhan-Heng Chen, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi, Gong-Xu Luo, Yan-Bin Wang)....Pages 348-358 Front Matter ....Pages 359-359 Prediction of Drug-Target Interactions with CNNs and Random Forest (Xiaoli Lin, Minqi Xu, Haiping Yu)....Pages 361-370 DTIFS: A Novel Computational Approach for Predicting Drug-Target Interactions from Drug Structure and Protein Sequence (Xin Yan, Zhu-Hong You, Lei Wang, Li-Ping Li, Kai Zheng, Mei-Neng Wang)....Pages 371-383 HGAlinker: Drug-Disease Association Prediction Based on Attention Mechanism of Heterogeneous Graph (Xiaozhu Jing, Wei Jiang, Zhongqing Zhang, Yadong Wang, Junyi Li)....Pages 384-396 Front Matter ....Pages 397-397 A Probabilistic Matrix Decomposition Method for Identifying miRNA-Disease Associations (Keren He, Ronghui Wu, Zhenghao Zhu, Jinxin Li, Xinguo Lu)....Pages 399-410 Front Matter ....Pages 411-411 CT Scan Synthesis for Promoting Computer-Aided Diagnosis Capacity of COVID-19 (Heng Li, Yan Hu, Sanqian Li, Wenjun Lin, Peng Liu, Risa Higashita et al.)....Pages 413-422 Traffic Data Prediction Based on Complex-Valued S-System Model (Bin Yang, Wei Zhang)....Pages 423-431 Classification of Protein Modification Sites with Machine Learning (Jin Sun, Wenzheng Bao, Yi Cao, Yuehui Chen)....Pages 432-445 RFQ-ANN: Artificial Neural Network Model for Predicting Protein-Protein Interaction Based on Sparse Matrix (Wenzheng Ma, Wenzheng Bao, Yi Cao, Yuehui Chen)....Pages 446-454 Front Matter ....Pages 455-455 A Novel Hybrid Algorithm Based on Bacterial Foraging Optimization and Grey Wolf Optimizer (Xiaobing Gan, Baoyu Xiao)....Pages 457-468 An Analysis of K-Means, Particle Swarm Optimization and Genetic Algorithm with Data Clustering Technique (Maja Gulan, Kaishan Huang)....Pages 469-480 A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning (Xiao-Rui Su, Zhu-Hong You, Ji-Ren Zhou, Hai-Cheng Yi, Xiao Li)....Pages 481-492 Predicting LncRNA-miRNA Interactions via Network Embedding with Integrated Structure and Attribute Information (Bo-Wei Zhao, Ping Zhang, Zhu-Hong You, Ji-Ren Zhou, Xiao Li)....Pages 493-501 Front Matter ....Pages 503-503 A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model (Ping Zhang, Bo-Wei Zhao, Leon Wong, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi)....Pages 505-513 Expression and Gene Regulation Network of ELF3 in Breast Invasive Carcinoma Based on Data Mining (Chenxia Ren, Pengyong Han, Chandrasekhar Gopalakrishnan, Caixia Xu, Rajasekaran Ramalingam, Zhengwei Li)....Pages 514-523 Embracing Disease Progression with a Learning System for Real World Evidence Discovery (Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng et al.)....Pages 524-534 Front Matter ....Pages 535-535 Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification (Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng)....Pages 537-545 Front Matter ....Pages 547-547 A Short Survey of Multi-objective Immune Algorithm Based on Clonal Selection (Lingjie Li, Qiuzhen Lin, Zhong Ming)....Pages 549-559 Adaptive Artificial Immune System for Biological Network Alignment (Shiqiang Wang, Lijia Ma, Xiao Zhang)....Pages 560-570 A Novel Decomposition-Based Multimodal Multi-objective Evolutionary Algorithm (Wu Lin, Yuan Li, Naili Luo)....Pages 571-582 GTCN: Dynamic Network Embedding Based on Graph Temporal Convolution Neural Network (Zhichao Huang, Jingkuan Zhang, Lijia Ma, Fubing Mao)....Pages 583-593 Resource Scheduling Algorithm Based on Evolutionary Computation in Dynamic Cloud Environment (Qiyuan Yu, Shen Zhong, Naili Luo, Peizhi Huang)....Pages 594-606 An Ensemble Classification Technique for Intrusion Detection Based on Dual Evolution (Qiuzhen Lin, Chao Hu, Shuo Chen, Peizhi Huang)....Pages 607-618 Front Matter ....Pages 619-619 A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions (Xiaojuan Wang, Pengwei Hu, Lun Hu)....Pages 621-632 Back Matter ....Pages 633-638