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ORCID15th ICIC 2019: Nanchang, China
- De-Shuang Huang, Kang-Hyun Jo, Zhi-Kai Huang:
Intelligent Computing Theories and Application - 15th International Conference, ICIC 2019, Nanchang, China, August 3-6, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11644, Springer 2019, ISBN 978-3-030-26968-5 - Carla E. Garcia
, Mario R. Camana, Insoo Koo, Md. Arifur Rahman:
Particle Swarm Optimization-Based Power Allocation Scheme for Secrecy Sum Rate Maximization in NOMA with Cooperative Relaying. 1-12 - Yanlian Du, Jingxuan He, Changcun Du:
A Novel Binary Particle Swarm Optimization for Multiple Sequence Alignment. 13-25 - Jianfeng Qiu, Fan Cheng, Lei Zhang, Yi Xu:
A Diversity Based Competitive Multi-objective PSO for Feature Selection. 26-37 - Yihua Wang, Wanyi Chen:
A Decomposition-Based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolio Optimization. 38-50 - Lejun Gong, Xiaolin Liu, Xuemin Yang, Lipeng Zhang, Yao Jia, Ronggen Yang:
CBLNER: A Multi-models Biomedical Named Entity Recognition System Based on Machine Learning. 51-60 - Zhao Wei, Changhao Zhang, Kaiming Gu, Fei Wang:
Dice Loss in Siamese Network for Visual Object Tracking. 61-70 - Duy-Long Nguyen, Hong-Hee Lee:
Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid. 71-80 - Yu-zhong Peng, ChuYan Deng, HongYa Li, DaoQing Gong, Xiao Qin, Li Cai:
Precipitation Modeling and Prediction Based on Fuzzy-Control Multi-cellular Gene Expression Programming and Wavelet Transform. 81-92 - Xue Jiang, Weihao Pan, Miao Chen, Weidi Wang, Weichen Song, Guan Ning Lin:
Integrative Enrichment Analysis of Intra- and Inter- Tissues' Differentially Expressed Genes Based on Perceptron. 93-104 - Bolin Chen, Li Gao, Xuequn Shang:
Identifying Differentially Expressed Genes Based on Differentially Expressed Edges. 105-115 - Fangfang Zhu, Juan Liu, Wenwen Min:
Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. 116-126 - Wenhe Zhao, Jiawei Luo, Tu Hoang Nguyen:
A Novel Framework for Improving the Prediction of Disease-Associated MicroRNAs. 127-137 - Yu-An Huang, Zhi-An Huang, Zhu-Hong You, Pengwei Hu, Li-Ping Li, Zheng-Wei Li, Lei Wang:
Precise Prediction of Pathogenic Microorganisms Using 16S rRNA Gene Sequences. 138-150 - Pengwei Hu, Yu-An Huang, Zhuhong You, Shaochun Li, Keith C. C. Chan, Henry Leung, Lun Hu:
Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions. 151-161 - Zhongting Jiang, Dong Wang, Huijie Shang, Yuehui Chen:
Simulation of Complex Neural Firing Patterns Based on Improved Deterministic Chay Model. 162-169 - Huajing Ling, Hongjie Wu, Jiayan Han, Jiwen Ding, Weizhong Lu, Qiming Fu:
Knowledge Based Helix Angle and Residue Distance Restraint Free Energy Terms of GPCRs. 170-176 - Yuanyuan Li, Ping Luo, Yi Lu, Fang-Xiang Wu:
Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data. 177-189 - Jiang Xie, Ruiying Wu, Haitao Wang, Yanyan Kong, Haozhe Li, Wu Zhang:
A Novel Weight Learning Approach Based on Density for Accurate Prediction of Atherosclerosis. 190-200 - Shuhui Su, Xiaoxiao Zhang, Lei Zhang, Jian Liu:
An Effective Approach of Measuring Disease Similarities Based on the DNN Regression Model. 201-212 - Li-Ting Li, Hai-Yan Qiu, Mi-Mi Liu, Yongming Cai:
Herb Pair Danggui-Baishao: Pharmacological Mechanisms Underlying Primary Dysmenorrhea by Network Pharmacology Approach. 213-225 - Toshitaka Tanebe, Takashi Ishida:
End-to-End Learning Based Compound Activity Prediction Using Binding Pocket Information. 226-234 - Zhi Cao, Junfeng Zhang, Shu-Lin Wang, Yue Liu:
A Novel Approach for Predicting LncRNA-Disease Associations by Structural Perturbation Method. 235-246 - Xin Ding, Jun-Feng Xia, Yutian Wang, Jing Wang, Chun-Hou Zheng:
Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations. 247-255 - Yuan-Yuan Zhang, Chao Yang, Jing Wang, Chun-Hou Zheng:
A Link and Weight-Based Ensemble Clustering for Patient Stratification. 256-264 - Qing-Wen Wu, Yu-Tian Wang, Zhen Gao, Ming-Wen Zhang, Jian-Cheng Ni, Chun-Hou Zheng:
HGMDA: HyperGraph for Predicting MiRNA-Disease Association. 265-271 - Ying Hui, Pi-Jing Wei, Jun-Feng Xia, Hong-Bo Wang, Jing Wang, Chun-Hou Zheng:
Discovering Driver Mutation Profiles in Cancer with a Local Centrality Score. 272-282 - Zhengwei Li, Ru Nie, Zhuhong You, Yan Zhao, Xin Ge, Yang Wang:
LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction. 283-293 - Xiyu Zhang, Ruoqing Xu, Yannan Bin, Zhenyu Yue:
Distinguishing Driver Missense Mutations from Benign Polymorphisms in Breast Cancer. 294-302 - Xinguo Lu, Xinyu Wang, Ping Liu, Zhenghao Zhu, Li Ding:
A Novel Method to Predict Protein Regions Driving Cancer Through Integration of Multi-omics Data. 303-312 - Hai-Cheng Yi, Zhu-Hong You, Yan-Bin Wang, Zhan-Heng Chen, Zhen-Hao Guo, Hui-Juan Zhu:
In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information. 313-323 - Xiaoli Lin, Fengli Zhou:
Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest. 324-332 - Junyi Li, Huinian Li, Li Zhang, Qingzhe Xu, Yuan Ping, Xiaozhu Jing, Wei Jiang, Bo Liu, Yadong Wang:
Prediction of Human LncRNAs Based on Integrated Information Entropy Features. 333-343 - Tao Wang, Hai-Cheng Yi, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Lun Hu, Leon Wong:
A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel. 344-353 - Guo Mao, Shu-Lin Wang:
A Novel Approach to Predicting MiRNA-Disease Associations. 354-365 - Wenbo Yu, Chang-An Yuan, Xiao Qin, Zhi-Kai Huang, Li Shang:
Hierarchical Attention Network for Predicting DNA-Protein Binding Sites. 366-373 - Dailun Wang, Qinhu Zhang, Chang-An Yuan, Xiao Qin, Zhi-Kai Huang, Li Shang:
Motif Discovery via Convolutional Networks with K-mer Embedding. 374-382 - Lixu Jiang, Hao Xu, Zhixi Yun, Jiayi Yin, Juanjuan Kang, Bifang He, Jian Huang:
Whole-Genome Shotgun Sequence of Natronobacterium gregoryi SP2. 383-393 - Xinguo Lu, Qiumai Miao, Ping Liu, Li Ding, Zhenghao Zhu, Min Liu, Shulin Wang:
The Detection of Gene Modules with Overlapping Characteristic via Integrating Multi-omics Data in Six Cancers. 394-405 - Zhen-Hao Guo, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Zhan-Heng Chen:
Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations. 406-417 - Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang:
A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information. 418-429 - Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding:
Research on RNA Secondary Structure Prediction Based on Decision Tree. 430-439 - Jing Hu, Longwei Zhou, Xiaolong Zhang, Nansheng Chen:
Improving Hot Region Prediction by Combining Gaussian Naive Bayes and DBSCAN. 440-452 - Zhaohui Zhan, Zhu-Hong You, Yong Zhou, Kai Zheng, Zheng-Wei Li:
An Efficient LightGBM Model to Predict Protein Self-interacting Using Chebyshev Moments and Bi-gram. 453-459 - Yan-Bin Wang, Zhu-Hong You, Hai-Cheng Yi, Zhan-Heng Chen, Zhen-Hao Guo, Kai Zheng:
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins. 460-467 - Yijie Ding, Jijun Tang, Fei Guo:
Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information. 468-479 - Fengli Zhou, Xiaoli Lin:
Research on HP Model Optimization Method Based on Reinforcement Learning. 480-492 - Anqi Ma, Zuolang Zhu, Meiqin Ye, Fei Wang:
EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data. 493-504 - Mohsin Ali Nasir, Samia Nawaz, Farrukh Azeem, Sajjad Haider:
Regulatory Sequence Architecture of Stress Responsive Genes in Oryza Sativa. 505-516 - Zishuang Zhang, Zhi-Ping Liu:
Identifying Cancer Biomarkers from High-Throughput RNA Sequencing Data by Machine Learning. 517-528 - Xingyi Li, Ju Xiang, Jianxin Wang, Fang-Xiang Wu, Min Li:
Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies. 529-534 - Jiang Xie, Jiamin Sun, Jiaxin Li, Fuzhang Yang, Haozhe Li, Jiao Wang:
A Novel Differential Essential Genes Prediction Method Based on Random Forests Model. 535-546 - Zhen-Bo Tian, Xu-Qing Tang:
Identification of Candidate Biomarkers and Pathways Associated with Liver Cancer by Bioinformatics Analysis. 547-557 - Panpan Lu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, Bing Wang:
Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model. 558-568 - José Sergio Ruiz Castilla, Juan-José Rangel-Cortes, Farid García-Lamont, Adrián Trueba-Espinosa:
CNN and Metadata for Classification of Benign and Malignant Melanomas. 569-579 - Mohammed Khalaf, Abir Jaafar Hussain, Omar Alfandi, Dhiya Al-Jumeily, Mohamed Alloghani, Mahmood Alsaadi, Omar A. Dawood, Dhafar Hamed Abd:
An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets. 580-591 - Li-Hua Wen, Kang-Hyun Jo:
Fully Convolutional Neural Networks for 3D Vehicle Detection Based on Point Clouds. 592-601 - Aapan Mutsuddy, Kaushik Deb, Tahmina Khanam, Kang-Hyun Jo:
Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier. 602-614 - Khoa Dang Nguyen, Trong-Thang Nguyen, Cheolkeun Ha:
Graph-SLAM Based Hardware-in-the-Loop-Simulation for Unmanned Aerial Vehicles Using Gazebo and PX4 Open Source. 615-627 - Xiao Ding, Lei Xing, Tao Lin, Jiabao Wang, Yang Li, Zhuang Miao:
Evaluating CNNs for Military Target Recognition. 628-638 - Antonio Brunetti, Giacomo Donato Cascarano, Irio De Feudis, Marco Moschetta, Loreto Gesualdo, Vitoantonio Bevilacqua:
Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease. 639-650 - Mengmeng Yao, Jun Zhang, Xi Weng:
Research of Formal Analysis Based on Extended Strand Space Theories. 651-661 - Mingli Shang:
The Application of Artificial Intelligence in Music Education. 662-668 - Ai Yang, Bin Qian, Rong Hu, Ling Wang, Shang-Han Li:
Single-Machine Green Scheduling Problem of Multi-speed Machine. 669-677 - Hui-Min Gu, Rong Hu, Bin Qian, Huai-Ping Jin, Ling Wang:
Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan. 678-687 - Hong-Fang Yan, Ci-Yun Cai, De-Huai Liu, Min-Xia Zhang:
Water Wave Optimization for the Multidimensional Knapsack Problem. 688-699 - Chuandong Song:
A Complex-Valued Firefly Algorithm. 700-707 - Haifeng Wang, Sanrong Liu:
Gene Expression Prediction Based on Hybrid Evolutionary Algorithm. 708-716 - Qi Liu, Wenzheng Bao, Zhuo Wang:
MPdeep: Medical Procession with Deep Learning. 717-725 - Lida Zhu, Jun Yuan:
Predicting Potential Drug-Target Interactions with Multi-label Learning and Ensemble Learning. 726-735 - Yun-Xia Liu, An-Jie Zhang, Qingfang Meng, Ying-Jie Chen, Yang Yang, Yuehui Chen:
Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors. 736-746 - Li Sun, Ziwei Shang, Qing Cao, Kang Chen, Jiyun Li:
Electrocardiogram Diagnosis Based on SMOTE+ENN and Random Forest. 747-757 - Daniel Ayala Niño, José Sergio Ruiz Castilla, Ma. Dolores Arévalo Zenteno, Laura D. Jalili:
Complex Leaves Classification with Features Extractor. 758-769 - Lina Ge, Yugu Hu, Hong Wang, Zhonghua He, Huazhi Meng, Xiong Tang, Liyan Wu:
IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram Publishing Based on Density Clustering. 770-781
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last updated on 2026-01-24 01:51 CET by the dblp team
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