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ORCIDMLMI 2021: Hangzhou, China
- MLMI 2021: The 4th International Conference on Machine Learning and Machine Intelligence, Hangzhou, China, September 17 - 19, 2021. ACM 2021, ISBN 978-1-4503-8424-7
- Qinglian Zhang, Kai Tang, Xiaolei Liu, Qianqian Wang, Kazushige Ouchi:
A Frown-Based Thermal Comfort Detection Method of Facial Emotion Recognition. 1-7 - Mingxing Liu, Haiguang Chen, Zifeng Qi, Susheng He:
Monitoring System of Safe Adult-child Ratio in Childcare Institutions Based on Image Recognition. 8-14 - Xu Chen, Changwei Luo:
Fast Traffic Light Recognition Using a Lightweight Attention-Enhanced Model. 15-20 - Chang Lu, Rui Wang, Beibei Huang, Yuan Li, Zunkai Huang, Yicong Zhou, Aiwen Luo:
ALResNet: Attention-Driven Lightweight Residual Network for Fast and Accurate Image Recognition. 21-29 - Shehab Eldeen Ayman Mounir, Walid Hussein, Omar H. Karam
:
Accident detection and road monitoring in real time using deep learning and lane detection algorithms. 30-37 - Xueshu Wang, Kai Tang, Xiaolei Liu, Kazushige Ouchi:
C3MNet: Customized Multi-Channel Muscle Motion Network for Yawn-Based Fatigue Emotion Detection. 38-43 - Sharmaine Justyne Ramos Maglapuz, Luisito Lolong Lacatan:
Text Categorization of Filipino Tweets Using Naïve Byes Algorithm. 44-49 - Qing Wu, Peng Sun, Xueshu Hong, Xueling Zhu, Bo Liu:
An Android Malware Detection and Malicious Code Location Method Based on Graph Neural Network. 50-56 - Luisito Lolong Lacatan, Gary Mendoza Penuliar:
Coompetency-Based Mapping Tool in Personnel Management System using Analytical Hierarchy Process. 57-64 - Charlyn Nayve Villavicencio, Jyh-Horng Jeng, Jer-Guang Hsieh:
Support Vector Machine Modelling for COVID-19 Prediction based on Symptoms using R Programming Language. 65-70 - Zhiming He, Jingping Zeng:
A Lightweight Visual Question Answering Model based on Semantic Similarity. 71-76 - Chao Huang, Hui Di, Lina Wang, Kazushige Ouchi:
ECO-DST: An Efficient Cross-lingual Dialogue State Tracking Framework. 77-82 - Yaseen A. Al-Mulla, Taif B. Al-Badi:
IoT and RS Techniques for Enhancing Water Use Efficiency and Achieving Water Security. 83-88 - Linlin Shi, Pengfei Yu, Shilie He, Zhenwei Zhou, Linghui Meng, Junbin Liu:
Degradation Characteristics Analysis and Fault Prediction of Switching Power Supply Based on Data Mining. 89-98 - Ruizhen Wu, Jingjing Chen, Ping Huang, Lin Wang:
All-Optical Neural Network Tanh Architecture with MZI. 99-103 - Yun Ning, Jijun Tong:
A Review on Vessel Segmentation of X-Ray Coronary Angiography Images Based on Deep Learning. 104-110 - Musabe Jean Bosco, Guoyin Wang:
Multilevel and Multi-granularity of Remote Sensing Imagery Application based on Deep Learning and Machine Learning Algorithm. 111-119 - Ruixian Zhang, Lingyun Zhu, Chengxi Du:
Multi-angle Facial Expression Image Generation Method Based on Mask Vector Guided Generation Adversarial Network. 120-126 - Long Chen, Hui Yan:
Dual Graph Convolution for Attributed Graph Clustering. 127-133 - Jinzhi Lai, Jing Jiang, Yanjun Jiang, Xuesong Zhang:
Nonparametric Bayesian Tensor Dictionary Learning for Hyperspectral Image Denoising. 134-139 - Regina Garcia Almonte, Luisito Lolong Lacatan:
Sentiment Analysis of Facebook Posts Towards Good Governance Using SVM Algorithm: A Framework Proposal. 140-144 - Tossapon Nuanchuay, Sukree Sinthupinyo:
Additional time series features for preciseness improvement of LSTM-based COVID-19 spread forecasting model. 145-150 - Mulyana Saripuddin, Azizah Suliman, Sera Syarmila Sameon, Bo Nørregaard Jørgensen:
Random Undersampling on Imbalance Time Series Data for Anomaly Detection. 151-156 - Nguyen Ngoc Phien, Duong Tuan Anh, Jan Platos:
A Comparison between Deep Belief Network and LSTM in Chaotic Time Series Forecasting. 157-163 - Zehai Liu, Gengchen Tian, Jiarui Zhu, Weikang Chen, Wanying Dou, Chun-Te Lee, Chee-Kai Chan, Omar Dib:
Machine Learning Approaches to Investigate the Relationship between Genetic Factors and Autism Spectrum Disorder. 164-171 - Xiaohan Zhou:
Personalized book recommendation of university library coupled with collaborative filtering and FP-Growth algorithm. 172-176 - Shengyuan Liu, Haobo Wang, Tianlei Hu, Ke Chen:
Dual Enhancement for Multi-Label Learning with Missing Labels. 177-183 - Miao He, Xiaoming Zhan, Dayong Shen, Yuanyuan Zhu, Hua Zhao, Renjie He:
What About Your Next Job? Predicting Professional Career Trajectory Using Neural Networks. 184-189
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