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ORCID5th ICMLSC 2023: Chongqing, China
- Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, ICMLSC 2023, Chongqing, China, January 5-7, 2023. ACM 2023, ISBN 978-1-4503-9863-3
Session 1 - Computer Model Construction and Algorithm Design
- Jinjin Ge
, Ming-Shun Song, Jia Huang, Minhao Huang:
Research on Location Problem Based on Fuzzy Multi-criteria Decision Method. 1-9 - Jiao Liu, Guoyou Shi, Kaige Zhu, Jiahui Shi, Yuchuang Wang:
Decision Model of Ship Intelligent Collision Avoidance Based on Automatic Information System Data and Generic Adversary Imitation Learning-Deep Deterministic Policy Gradient. 10-17 - Jun Tan, Qun Hou, Xin Liu, Yunke Xiong:
Research on energy consumption prediction based on fast attribute reduction of weighted neighborhood rough set with moving horizon. 18-25 - Kaige Zhu, Guoyou Shi, Jiao Liu, Jiahui Shi, Yuchuang Wang, Xing Jiang:
Fast NURBS Skinning Algorithm and Ship Hull Section Refinement Model. 26-33 - Fan Li, Kai Zhang, Chaonan Shen, Zhiwei Xu:
Solving Multimodal Multi-Objective Problems with Local Pareto Front using a Population Clustering Mechanism. 34-39 - Hengyu Duan, Kai Zhang, Xinbo Zhang:
A DNA Coding Design based on Multi-objective Evolutionary Algorithm with Constraint. 40-45
Session 2 - Neural Network Theory and Analysis
- Yuhua Guo, Yiran Li, Amin Farjudian:
Validated Computation of Lipschitz Constant of Recurrent Neural Networks. 46-52 - Yunke Xiong, Qun Hou, Xin Liu:
Neural Network Optimization Objective Vector Representation based on Genetic Algorithm and Its Multi-objective Optimization Method. 53-60 - Mercy K. Michira, Richard M. Rimiru, Waweru R. Mwangi:
Improved Multilayer Perceptron Neural Networks Weights and Biases Based on The Grasshopper optimization Algorithm to Predict Student Performance on Ambient Learning. 61-68 - Xingyu Zhang, Biao Jie, Jianhui Wang:
Convolutional Recurrent Neural Network with Multi-Scale Kernels on Dynamic Connectivity Network for AD Classification. 69-74 - Bingbing Chen, Yong Liao:
Spatio-Temporal Deep Fusion Graph Convolutional Networks for Crime Prediction. 75-81 - Venkata Duvvuri, Gahyoung Lee, Yuwei Hsu, Asha Makwana, Chris Morgan:
Post Processing Selection of Automatic Item Generation in Testing to Ensure Human-Like Quality with Machine Learning. 82-88
Session 3 - Machine Learning and Algorithm
- Fayas Asharindavida, Omar Nibouche, James Uhomoibhi, Jun Liu, Hui Wang:
Machine Learning on Spectral Data from Miniature Devices for Food Quality Analysis - A Case Study. 89-95 - Xueyu Wei, Wei Xue, Wei Zhao, Yuanxia Shen, Gaohang Yu:
Joint Action Representation and Prioritized Experience Replay for Reinforcement Learning in Large Discrete Action Spaces. 96-101 - Firas Gerges, Michel C. Boufadel, Elie Bou-Zeid, Hani Nassif, Jason T. L. Wang:
Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data. 102-109 - Tingwei Li, Zhi Wang:
LDRC: Long-tail Distantly Supervised Relation Extraction via Contrastive Learning. 110-117
Session 4 - Features and Pattern Recognition
- Yinqing Tang, Benguo Yu, Fengning Liu, Anran Wang:
Research on License Plate Recognition Based on Deep Learning in Complex Scenarios. 118-124 - Rui Tian, Ziqi Zhu:
Printer Source Identification Based on Graph Model. 125-131 - Shaotong Liu, Zhewei Xu, Dongsheng Ye:
Quantitative Structure-Activity Relationships of Estrogen Receptor Alpha Based on Molecular Descriptors Selection and Extreme Gradient Boosting. 132-138 - Benguo Yu, Yinqing Tang, Yang Yang:
Research on Cursive Font Recognition Based on Improved Hash Algorithm. 139-143
Session 5 - Machine Learning in Image Analysis
- Junhong Liu, Bo Peng, Zezhao Yin:
A Hybrid Machine Learning Method for Diabetes Detection based on Unsupervised Clustering. 144-149 - Yinqing Tang, Benguo Yu, Anran Wang, Fengning Liu:
A Traffic Sign Recognition Method Based on YOLOv5 Deep Learning Algorithm. 150-156 - Ha Duong Ngo, Y. Nhu Tran:
Proposal to Improve The Classification of School Violence. 157-160 - Jianhui Wang, Biao Jie, Xingyu Zhang, Wen Li, Zhaoxiang Wu, Yang Yang:
Sparse-learning-based High-order Dynamic Functional Connectivity Networks for Brain Disease Classification. 161-167 - Yang Chen, Yang Tan:
Self-supervised Depth Completion with Adaptive Online Adaptation. 168-174
Session 6 - Digital Image Processing and Method
- Alex Liu, Zhifeng Xiao:
Nighttime Semantic Segmentation with Instance-level Data Augmentation: a Case Study of the Dark Zurich Benchmark. 175-180 - Deepak Kumar Jain, Akshit Khanna, Bhavya Gera, Dhiraj Sangwan:
Federated Learning based Object Detection using Dampened Harmonic Optimization. 181-187 - Shingo Hanahira, Xin Kang:
Resolving Context Contradictions in the Neural Dialogue System based on Sentiment Information. 188-191 - Bo Zeng, Donghai Zhai, Bo Peng, Yuan Yao:
CascadeTransformer: Multi-label Classification with Transformer in Chronic Disease Prediction. 192-197 - Qingqing Huang, Wei Pan, Xing Fan:
A Mask Detection Algorithm Based on RetinaFace. 198-204 - Changhao Wang, Xi Jin, Changqing Xia, Chi Xu, Yong Duan:
Indoor Fingerprint Positioning Method Based on Real 5G Signals. 205-210
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