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17th ICIC 2021: Shenzhen, China - Part III
- De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya V. Gribova, Prashan Premaratne:
Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12838, Springer 2021, ISBN 978-3-030-84531-5
Artificial Intelligence in Real World Applications
- Jiancheng Sun, Yunfan Hu, Zhinan Wu, Huimin Niu, Si Chen:
Task-Oriented Snapshot Network Construction of Stock Market. 3-11 - Qingyue Bai, Junrui Yue:
Analysis of Elimination Algorithm Based on Curve Self-intersection. 12-23 - Marek Pawlicki
, Rafal Kozik, Damian Puchalski, Michal Choras:
Towards AI-Based Reaction and Mitigation for e-Commerce - the ENSURESEC Engine. 24-31 - Dhafar Hamed Abd, Wasiq Khan
Arabic Light Stemmer Based on ISRI Stemmer. 32-45
Biomedical Informatics Theory and Methods
- Bo-Ya Ji, Zhu-Hong You, Lei Wang, Leon Wong, Xiao-Rui Su, Bo-Wei Zhao:
Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting. 49-56 - Xuqi Wang, Wenzhun Huang, Shanwen Zhang:
Social Media Adverse Drug Reaction Detection Based on Bi-LSTM with Multi-head Attention Mechanism. 57-65 - Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu:
HOMC: A Hierarchical Clustering Algorithm Based on Optimal Low Rank Matrix Completion for Single Cell Analysis. 66-76 - Runmin Yang, Jingjing Ma, Shu Zhang, Yu Zheng, Lusheng Wang, Daming Zhu:
mzMD: A New Storage and Retrieval System for Mass Spectrometry Data. 77-86 - Qing Ye, Xiaolong Zhang, Xiaoli Lin:
Drug-Target Interaction Prediction via Multiple Output Graph Convolutional Networks. 87-99 - Haihua Gu, Xiaojun Ding:
Inversion of k-Nearest Neighbours Algorithm for Extracting SNPs Discriminating Human Populations. 100-108 - Xiaojie Su, Chao Song, Chenchen Feng, Yu Gao, Ziyu Ning, Qiuyu Wang, Jiaxin Chen, Yuexin Zhang, Ling Wei, Xinyuan Zhou, Chunquan Li:
ComPAT: A Comprehensive Pathway Analysis Tools. 109-120 - Changping Ji
Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate. 121-131 - Matthew Harper, Fawaz Ghali, Abir Hussain, Dhiya Al-Jumeily:
Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19. 132-147 - Zhuo Gong, Naixin Zhang, Jieyue He:
KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions. 148-161 - Matthew Harper, Fawaz Ghali, Abir Hussain, Dhiya Al-Jumeily:
Challenges in Data Capturing and Collection for Physiological Detection of Dementia-Related Difficulties and Proposed Solutions. 162-173 - Jian-Xun Mi, Rong-Feng Li, Guo Chen:
Exploring Multi-scale Temporal and Spectral CSP Feature for Multi-class Motion Imagination Task Classification. 174-184 - Yan Yan:
Gingivitis Detection by Wavelet Energy Entropy and Linear Regression Classifier. 185-197 - Rui Yan, Jintao Li, S. Kevin Zhou, Zhilong Lv, Xueyuan Zhang, Xiaosong Rao, Chunhou Zheng, Fei Ren, Fa Zhang:
Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification. 198-207
Complex Diseases Informatics
- Yue Liu, Shu-Lin Wang:
A Novel Approach for Predicting Microbe-Disease Associations by Structural Perturbation Method. 211-221 - Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding
A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction. 222-230 - Chandrasekhar Gopalakrishnan, Caixia Xu, Pengyong Han, Rajasekaran Ramalingam, Zhengwei Li
Delineating QSAR Descriptors to Explore the Inherent Properties of Naturally Occurring Polyphenols, Responsible for Alpha-Synuclein Amyloid Disaggregation Scheming Towards Effective Therapeutics Against Parkinson's Disorder. 231-241 - Yuan Dong, Caixia Xu, Chenxia Ren, Pengyong Han, Fei Ren, Zhengwei Li
Study on the Mechanism of Cistanche in the Treatment of Colorectal Cancer Based on Network Pharmacology. 242-252 - Abbas Saad Alatrany
A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data. 253-266 - Wentian Yin, Yanwen Yao, Yujian Gu, Wenzheng Bao, Honglin Cheng:
Prediction of Heart Disease Probability Based on Various Body Function. 267-275 - Adrián Trueba-Espinosa, Jessica Sánchez-Arrazola
Classification of Pulmonary Diseases from X-ray Images Using a Convolutional Neural Network. 276-289 - Xinguo Lu, Yue Yuan, Guanyuan Chen, Jinxin Li, Kaibao Jiang:
Predicting LncRNA-Disease Associations Based on Tensor Decomposition Method. 290-300 - Haya Al-Askar, Rasul Almurshedi, Jamila Mustafina
AI in Skin Cancer Detection. 301-311 - Yi Liu, Jiawei Luo, Hao Wu:
miRNA-Disease Associations Prediction Based on Neural Tensor Decomposition. 312-323
Gene Regulation Modeling and Analysis
- Jian-ping Zhao, Hai-Yun Wang, Chun-Hou Zheng:
SHDC: A Method of Similarity Measurement Using Heat Kernel Based on Denoising for Clustering scRNA-seq Data. 327-335 - Weizhong Lu, Xiaoyi Chen, Yu Zhang, Hongjie Wu, Jiawei Shen, Nan Zhou, Yijie Ding
Research on RNA Secondary Structure Prediction Based on MLP. 336-344 - Guangyi Chen, Zhi-Ping Liu:
Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression. 345-355 - Zhen Shen, YanLing Shao, Lin Yuan:
Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR Region. 356-363 - Lin Yuan, Zhen Shen:
Joint Association Analysis Method to Predict Genes Related to Liver Cancer. 364-373 - Yue Zhang, Yuehui Chen, Wenzheng Bao, Yi Cao:
A Hybrid Deep Neural Network for the Prediction of In-Vivo Protein-DNA Binding by Combining Multiple-Instance Learning. 374-384 - Youhong Xu, Qinghu Zhang, Zhanheng Chen, Chang-an Yuan, Xiao Qin, Hongjie Wu:
Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw DNA Sequence, Evolutionary Information and Epigenomic Data. 385-395 - Qiang Zhang, Yizhang Jiang:
An Abnormal Gene Detection Method Based on Selene. 396-406 - Seokwoo Lee, Wook Lee, Shulei Ren, Kyungsook Han:
A Method for Constructing an Integrative Network of Competing Endogenous RNAs. 407-420
Intelligent Computing in Computational Biology
- Xiao-Rui Su, Zhu-Hong You, Hai-Cheng Yi
Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule Network. 423-432 - Wei Fan
SCEC: A Novel Single-Cell Classification Method Based on Cell-Pair Ensemble Learning. 433-444 - Rui-Kang Ni, Zhen Gao, Cunmei Ji
ICNNMDA: An Improved Convolutional Neural Network for Predicting MiRNA-Disease Associations. 445-457 - Yuhang Guo
DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein Binding. 458-466 - Mei-Neng Wang, Xue-Jun Xie, Zhuhong You, Leon Wong, Liping Li, Zhan-Heng Chen
Weighted Nonnegative Matrix Factorization Based on Multi-source Fusion Information for Predicting CircRNA-Disease Associations. 467-477 - Naile Shi, Yulin Wu, Linlin Du, Bo Liu, Yadong Wang, Junyi Li:
ScSSC: Semi-supervised Single Cell Clustering Based on 2D Embedding. 478-489 - Qi Guan, Jianping Zhao, Chunhou Zheng:
SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data. 490-498 - Wei Wang
Covid-19 Detection by Wavelet Entropy and Jaya. 499-508 - Zhenfeng Li, Pengwei Hu, Lun Hu:
An Ensemble Learning Algorithm for Predicting HIV-1 Protease Cleavage Sites. 509-521 - Ming-Wen Zhang, Yu-Tian Wang, Zhen Gao, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng:
RWRNCP: Random Walking with Restart Based Network Consistency Projection for Predicting miRNA-Disease Association. 522-535 - Zhen-Wei Zhang, Zhen Gao, Chun-Hou Zheng, Yu-Tian Wang, Sumin Qi:
MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-Disease Association. 536-548 - Zhongsi Zhang, Fei Xu, Han-Jing Jiang, Zhan-Heng Chen
Prognostic Prediction for Non-small-Cell Lung Cancer Based on Deep Neural Network and Multimodal Data. 549-560 - Aoxing Li, Xiaoli Lin, Minqi Xu, Haiping Yu:
Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network. 561-569 - Xin Yan, Zhu-Hong You, Lei Wang, Peng-Peng Chen:
CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures Information. 570-579 - Bo-Wei Zhao, Zhu-Hong You, Lun Hu, Leon Wong, Bo-Ya Ji, Ping Zhang
A Multi-graph Deep Learning Model for Predicting Drug-Disease Associations. 580-590 - Qiang Zhang, Zonglan Zuo, Rui Yan, Chunhou Zheng, Fa Zhang:
Predicting Drug-Disease Associations Based on Network Consistency Projection. 591-602 - Xinguo Lu, Fang Liu, Jinxin Li, Keren He, Kaibao Jiang, Changlong Gu:
An Efficient Computational Method to Predict Drug-Target Interactions Utilizing Matrix Completion and Linear Optimization Method. 603-614
Protein Structure and Function Prediction
- Xiao-Rui Su, Zhu-Hong You, Zhan-Heng Chen
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation. 617-626 - Shixuan Guan, Tengsheng Jiang, Weizhong Lu, Qiming Fu, Haiou Li, Hongjie Wu:
DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion. 627-633 - Weizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding
Membrane Protein Identification via Multiple Kernel Fuzzy SVM. 634-646 - Yanwen Yao, Yujian Gu, Wenzheng Bao, Lei Zhang, Yonghong Zhu:
Golgi Protein Prediction with Deep Forest. 647-653 - Wenzheng Ma, Wenzheng Bao, Yi Cao, Bin Yang, Yuehui Chen:
Prediction of Protein-Protein Interaction Based on Deep Learning Feature Representation and Random Forest. 654-662
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