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ORCIDICIC 2018: Wuhan, China
- De-Shuang Huang, Kang-Hyun Jo, Xiaolong Zhang:
Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Wuhan, China, August 15-18, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10955, Springer 2018, ISBN 978-3-319-95932-0 - Jun Zhang, Hui Lu, Yi Xia, Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao, Cheng-Xiao Liu, Jian-Ping Zhou, Peng Chen
, Bing Wang:
Deep Convolutional Neural Network for Fog Detection. 1-10 - Qingxin Xiao, Weilu Li, Peng Chen, Bing Wang:
Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network. 11-16 - Tan Van Nguyen, Cheolkeun Ha:
Fault Diagnosis and Control of a KYB MMP4 Electro-Hydraulic Actuator for LDVT Sensor Fault. 17-25 - Jun Liu, Pengfei Li:
A Mask R-CNN Model with Improved Region Proposal Network for Medical Ultrasound Image. 26-33 - Qiuwei Li, Fei Han, Qinghua Ling:
An Improved Double Hidden-Layer Variable Length Incremental Extreme Learning Machine Based on Particle Swarm Optimization. 34-43 - Yi Liu, Xiaolong Zhang:
Breast Cancer Medical Image Analysis Based on Transfer Learning Model. 44-53 - Le Zou, Liang-Tu Song, Xiao-Feng Wang, Yan-Ping Chen, Qiong Zhou, Chen Zhang, Xue-Fei Li:
A Fast Algorithm for Image Segmentation Based on Local Chan Vese Model. 54-60 - Shanwen Zhang, Zhen Wang, Yun Shi:
Multi-modal Plant Leaf Recognition Based on Centroid-Contour Distance and Local Discriminant Canonical Correlation Analysis. 61-66 - Xiu-Hong Yang, Ji-Xiang Du, Hongbo Zhang, Wentao Fan:
Fine-Grained Recognition of Vegetable Images Based on Multi-scale Convolution Neural Network. 67-76 - Zhijie Xiao, Tao Li, Yuqiao Wang:
Feature Analysis and Risk Assessment of Android Group Based on Clustering. 77-84 - Chuanyi Liu, Rui Zhao:
Find the 'Lost' Cursor: A Comparative Experiment of Visually Enhanced Cursor Techniques. 85-92 - Min Pan, Yue Zhang, Tingting He, Xingpeng Jiang:
An Enhanced HAL-Based Pseudo Relevance Feedback Model in Clinical Decision Support Retrieval. 93-99 - Xue-Fei Zhang, Ai-Ping Zeng, Shan Huang, Ming Qing, Yi Zhou:
An RGBD Tracker Based on KCF Adaptively Handling Long-Term Occlusion. 100-107 - Yu-Qiu Chen, Zhan-Li Sun, Nan Wang, Xin-Yuan Bao:
Background Subtraction with Superpixel and k-means. 108-112 - Li Huang, Hui Huang:
Application of Embedded Database SQLite in Engine Fault Diagnosis System. 113-119 - Lina Jia, Bin Yang, Wei Zhang:
Research on Stock Forecasting Based on GPU and Complex-Valued Neural Network. 120-128 - Yang-Weon Lee:
Development of Remote Monitoring System of Communication Base Station Using IoT and Particle Filter Technology. 129-135 - Xing-Liang Shi, Jian Zhou, Xiao-Feng Wang, Le Zou:
Prediction of Dissolved Oxygen Concentration in Sewage Using Support Vector Regression Based on Fuzzy C-means Clustering. 136-142 - Yong Fang, Jianfeng Gu:
A Deep Reinforcement Learning Method for Self-driving. 143-152 - Li Feng, Xiaofeng Wang, Dongfang Chen:
Image Classification Based on Improved Spatial Pyramid Matching Model. 153-164 - Kaijie Feng, KunHong Liu, Beizhan Wang:
A Novel ECOC Algorithm with Centroid Distance Based Soft Coding Scheme. 165-173 - Bao-Lin Zhang, Jun Lv, Jia-Rui Li:
A Compound Algorithm for Parameter Estimation of Frequency Hopping Signal Based on STFT and Morlet Wavelet Transform. 174-181 - Jie Zhang, Liping Zheng, Lijuan Zheng, Junyan Ge:
Recognition of Comparative Sentences from Online Reviews Based on Multi-feature Item Combinations. 182-193 - Weiri Liang, Meng Yang:
Hierarchical Hybrid Code Networks for Task-Oriented Dialogue. 194-204 - Min Zhu, Xiaolai Li, Shujie Wang, Wei Guo, Xueling Li:
Characterization of Radiotherapy Sensitivity Genes by Comparative Gene Set Enrichment Analysis. 205-216 - Meng Cao, Dancheng Li, Zhitao Lin, Cheng Niu, Chen Ding:
MiRNN: An Improved Prediction Model of MicroRNA Precursors Using Gated Recurrent Units. 217-222 - Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines. 223-226 - Hao Liang, Feiyang Gu, Chaohua Sheng, Qiong Duan, Bo Tian, Jun Wu, Bo Xu, Zengyou He:
PCM: A Pairwise Correlation Mining Package for Biological Network Inference. 227-231 - Zhan-Heng Chen, Zhu-Hong You, Liping Li, Yan-Bin Wang, Xiao Li:
RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter. 232-240 - Jialu Hu, Junhao He, Yiqun Gao, Yan Zheng, Xuequn Shang:
NetCoffee2: A Novel Global Alignment Algorithm for Multiple PPI Networks Based on Graph Feature Vectors. 241-246 - Deshun Sun, Siyuan Chen, Fei Liu, Jizhuang Fan:
Dynamics of a Stochastic Virus Infection Model with Delayed Immune Response. 247-258 - Beiji Zou, Qilin Chen, Rongchang Zhao, Ping-Bo Ouyang, Chengzhang Zhu, Xuanchu Duan:
An Approach for Glaucoma Detection Based on the Features Representation in Radon Domain. 259-264 - Yun Zhao, Xu-Qing Tang:
Screening of Pathological Gene in Breast Cancer Based on Logistic Regression. 265-271 - Mengfei Guo, Yanan Yu, Tiancai Wen, Xiaoping Zhang, Baoyan Liu, Jin Zhang, Runshun Zhang, Yanning Zhang, Xuezhong Zhou:
Analysis of Disease Comorbidity Patterns in a Large-Scale China Population. 272-278 - Yusuke Matsuyama, Takashi Ishida:
Stacking Multiple Molecular Fingerprints for Improving Ligand-Based Virtual Screening. 279-288 - Jiawei Lei, Shu-Lin Wang, Jianwen Fang:
Combining mRNA, microRNA, Protein Expression Data and Driver Genes Information for Identifying Cancer-Related MicroRNAs. 289-300 - Yongqing Zhang, Shaojie Qiao, Shengjie Ji, Jiliu Zhou:
ENSEMBLE-CNN: Predicting DNA Binding Sites in Protein Sequences by an Ensemble Deep Learning Method. 301-306 - Edmundo Bonilla Huerta, Roberto Morales-Caporal, M. Antonio Arjona-López:
Exploration and Exploitation of High Dimensional Biological Datasets Using a Wrapper Approach Based on Strawberry Plant Algorithm. 307-317 - Jun Meng, Dingling Jiang, Zheng Chang, Yushi Luan:
Prediction of LncRNA by Using Muitiple Feature Information Fusion and Feature Selection Technique. 318-329 - Yanglan Gan, Zhiyuan Dong, Xia Zhang, Guobing Zou:
Tri-Clustering Analysis for Dissecting Epigenetic Patterns Across Multiple Cancer Types. 330-336 - Zhaohui Zhan, Zhu-Hong You, Yong Zhou, Li-Ping Li, Zheng-Wei Li:
Efficient Framework for Predicting ncRNA-Protein Interactions Based on Sequence Information by Deep Learning. 337-344 - Marzio Pennisi, Gabriele Forzano, Giulia Russo, Barbara Tomasello, Marco Favetta, Marcella Renis, Francesco Pappalardo:
BIOESOnet: A Tool for the Generation of Personalized Human Metabolic Pathways from 23andMe Exome Data. 345-352 - Haomin Gan, Jing Hu, Xiaolong Zhang, Qianqian Huang, Jiafu Zhao:
Accurate Prediction of Hot Spots with Greedy Gradient Boosting Decision Tree. 353-364 - Kai Zhang, Yulin Lv:
A Novel Efficient Simulated Annealing Algorithm for the RNA Secondary Structure Predicting with Pseudoknots. 365-370 - Yu Geng, Zhongmeng Zhao, Mingzhe Xu, Xuanping Zhang, Xiao Xiao, Jiayin Wang:
TNSim: A Tumor Sequencing Data Simulator for Incorporating Clonality Information. 371-382 - Ru Yang, Hongjie Wu, Qiming Fu, Tao Ding, Cheng Chen:
Optimizing HP Model Using Reinforcement Learning. 383-388 - Sisi Chen, Dan Liu, Jia Zheng, Pingtao Chen, Xiaohua Hu, Xingpeng Jiang:
Predicting Microbe-Disease Association by Kernelized Bayesian Matrix Factorization. 389-394 - Yan-Zhe Di, Peng Chen, Chun-Hou Zheng:
Similarity-Based Integrated Method for Predicting Drug-Disease Interactions. 395-400 - Yannan Bin, Xiaojuan Wang, Qizhi Zhu, Pengbo Wen, Junfeng Xia:
Nucleotide-Based Significance of Somatic Synonymous Mutations for Pan-Cancer. 401-406 - Mi-Xiao Hou, Jin-Xing Liu, Junliang Shang, Ying-Lian Gao, Xiang-Zhen Kong, Ling-Yun Dai:
Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. 407-418 - Shasha Wu, Mi-Xiao Hou, Jin-Xing Liu, Juan Wang, Shasha Yuan:
Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data. 419-431 - ShanShan Hu, DeNan Xia, Peng Chen, Bing Wang:
Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions. 432-437 - Haiyang Sun, Zhenyu Yue, Le Zhao, Junfeng Xia, Yannan Bin, Di Zhang:
Computational Prediction of Driver Missense Mutations in Melanoma. 438-447 - Yannan Bin, Ling Shu, Qizhi Zhu, Huanhuan Zhu, Junfeng Xia:
Further Evidence for Role of Promoter Polymorphisms in TNF Gene in Alzheimer's Disease. 448-459 - Nian Zhou, Lingshan Zhou, Lili Peng, Bing Wang, Peng Chen, Jun Zhang:
Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model. 460-469 - Chang Liu, Junliang Shang, Xuhui Zhu, Yan Sun, Jin-Xing Liu, Chun-Hou Zheng, Junying Zhang:
acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search. 470-482 - Hanyong Zhang, Qingfang Meng, Bo Meng, Mingmin Liu, Yang Li:
Epileptic Seizure Detection Based on Time Domain Features and Weighted Complex Network. 483-492 - Rongbin Xu, Sijie Niu, Kun Gao, Yuehui Chen:
Multi-path 3D Convolution Neural Network for Automated Geographic Atrophy Segmentation in SD-OCT Images. 493-503 - Likai Dong, Qinlin Li, Tao Xu, Xuesong Sun, Dong Wang, Qingqing Yin:
Multi-information Fusion Based Mobile Attendance Scheme with Face Recognition. 504-514 - Jing Xu, Peng Wu, Yuehui Chen, Hussain Dawood, Dong Wang:
The Wide and Deep Flexible Neural Tree and Its Ensemble in Predicting Long Non-coding RNA Subcellular Localization. 515-525 - Yuling Fan, Likai Dong, Xuesong Sun, Dong Wang, Wang Qin, Aizeng Cao:
Research on Auto-Generating Test-Paper Model Based on Spatial-Temporal Clustering Analysis. 526-535 - Xin Fu, Dong Wang, Sijie Niu, Hengcai Zhang:
A Semantic Context Model for Automatic Image Annotation. 536-542 - Xin Fu, Dong Wang, Hengcai Zhang:
Identifying Transportation Modes Using Gradient Boosting Decision Tree. 543-549 - Jiahao Wu, Zhiping Peng, Delong Cui, Qirui Li, Jieguang He:
A Multi-object Optimization Cloud Workflow Scheduling Algorithm Based on Reinforcement Learning. 550-559 - Zhenghong Yu, Dan Li:
A AprioriAll Sequence Mining Algorithm Based on Learner Behavior. 560-569 - Xiaowei Zhang, Yue Wang, Shengjie Zhao, Jinyong Liu, Jing Pan, Jian Shen, Tingzhen Ding:
Emotion Recognition Based on Electroencephalogram Using a Multiple Instance Learning Framework. 570-578 - Jun Ma, Ruisheng Zhang, Yongna Yuan, Zhili Zhao:
Using Hybrid Similarity-Based Collaborative Filtering Method for Compound Activity Prediction. 579-588 - Zhijuan Wang, Yonggang Lu:
Improving Initial Model Construction in Single Particle Cryo-EM by Filtering Out Low Quality Projection Images. 589-600 - Belal Ali Al-Maytami, Pingzhi Fan, Abir Hussain:
I-MMST: A New Task Scheduling Algorithm in Cloud Computing. 601-612 - Ilaria Bortone, Marco Giuseppe Quercia, Nicola Ieva, Giacomo Donato Cascarano, Gianpaolo Francesco Trotta, Sabina Ilaria Tatò, Vitoantonio Bevilacqua:
Recognition and Severity Rating of Parkinson's Disease from Postural and Kinematic Features During Gait Analysis with Microsoft Kinect. 613-618 - Giovanni Dimauro, Francesco Girardi, Matteo Gelardi, Vitoantonio Bevilacqua, Danilo Caivano:
Rhino-Cyt: A System for Supporting the Rhinologist in the Analysis of Nasal Cytology. 619-630 - Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale, Alessandra Scotto di Freca:
Recovering Segmentation Errors in Handwriting Recognition Systems. 631-642 - Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, Flavio Palmieri, Andrea Guerriero, Marco Moschetta:
A Deep Learning Approach for the Automatic Detection and Segmentation in Autosomal Dominant Polycystic Kidney Disease Based on Magnetic Resonance Images. 643-649 - Vitoantonio Bevilacqua, Claudio Loconsole, Antonio Brunetti, Giacomo Donato Cascarano, Antonio Lattarulo, Giacomo Losavio, Eugenio Di Sciascio:
A Model-Free Computer-Assisted Handwriting Analysis Exploiting Optimal Topology ANNs on Biometric Signals in Parkinson's Disease Research. 650-655 - Yihui Liang, Han Huang, Zhaoquan Cai, Liang Lv:
Particle Swarm Optimization with Convergence Speed Controller for Sampling-Based Image Matting. 656-668 - Fangyuan Ding, Min Huang, Yongsheng Deng, Han Huang:
iCorr-GAA Algorithm for Solving Complex Optimization Problem. 669-680 - Qunfeng Liu, Wei Chen, Yingying Cao, Yun Li, Ling Wang:
Two Possible Paradoxes in Numerical Comparisons of Optimization Algorithms. 681-692 - Yunxin Zhu, Xiang Feng, Huiqun Yu:
Mosquito Host-Seeking Algorithm Based on Random Walk and Game of Life. 693-704 - Xiang Feng, Hanyu Xu:
A Novel Energetic Ant Optimization Algorithm for Routing Network Analysis. 705-716 - Hao Hao, Jinyuan Zhang, Aimin Zhou:
A Comparison Study of Surrogate Model Based Preselection in Evolutionary Optimization. 717-728 - Feng Zhang, Bin Li, Kun Qian:
A Grouping Genetic Algorithm Based on the GES Local Search for Pickup and Delivery Problem with Time Windows and LIFO Loading. 729-741 - Qianyu Zhang, Bin Li, Yi Wu:
Evolutionary Structure Optimization of Convolutional Neural Networks for Deployment on Resource Limited Systems. 742-753 - Kun Jiang, Junqing Li, Ben Niu, Yongqin Jiang, Xiaoping Lin, Pei-Yong Duan:
Research on Vehicle Routing Problem and Its Optimization Algorithm Based on Assembled Building. 754-762 - Yun-Qi Han, Jun-Qing Li, Yongqin Jiang, Xing-Rui Chen, Kun Jiang, Xiao-Ping Lin, Pei-Yong Duan:
Research on Vehicle Routing Problem with Time Windows Restrictions. 763-770 - Xingrui Chen, Jun-Qing Li, Yongqin Jiang, Yunqi Han, Kun Jiang, Xiaoping Lin, Pei-Yong Duan:
Research on Swarm Intelligence Algorithm Based on Prefabricated Construction Vehicle Routing Problem. 771-779 - Bo Geng, Lina Ge, Qiuyue Wang, Lijuan Wang:
Improved Digital Password Authentication Method for Android System. 780-791 - Gengyu Ge, Jiaxian Song, Juan Wang, Aijia Ouyang:
Steepest Descent Bat Algorithm for Solving Systems of Non-linear Equations. 792-801 - Ameesha Mittal, Geetika Arora, Kamlesh Tiwari, Vandana Dixit Kaushik, Phalguni Gupta:
User Engagement Prediction Using Tweets. 802-808 - Rahul Nikam, K. Yugandhar, M. Michael Gromiha:
Discrimination and Prediction of Protein-Protein Binding Affinity Using Deep Learning Approach. 809-815 - Y-h. Taguchi:
Principal Component Analysis-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis. 816-826 - Jinho Im, Byungkyu Park, Kyungsook Han:
Finding Protein-Binding Nucleic Acid Sequences Using a Long Short-Term Memory Neural Network. 827-830 - Byungkyu Park, Jinho Im, Kyungsook Han:
Constructing Gene Co-expression Networks for Prognosis of Lung Adenocarcinoma. 831-839 - Jiawei Luo, Ying Yin:
RMCL-ESA: A Novel Method to Detect Co-regulatory Functional Modules in Cancer. 840-846
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last updated on 2026-01-13 23:36 CET by the dblp team
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