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ORCIDICMLT 2021: Jeju Island, Korea
- ICMLT 2021: 6th International Conference on Machine Learning Technologies, Jeju Island, Republic of Korea, April 23 - 25, 2021. ACM 2021, ISBN 978-1-4503-8940-2
- Geer Zhang:
Machine Learning for the Bias Correction of LDAPS Air Temperature Prediction Model. 1-6 - Yi-Chung Tseng, Wei-An Chen:
Hunting Malicious Windows Commands with Multi Machine Learning Technologies. 7-11 - Qihui Yin:
The Application of Machine Learning in Cervical Cancer Prediction. 12-19 - Kihoon Jang, Junwhan Kim, Byunggu Yu:
On Analyzing Churn Prediction in Mobile Games. 20-25 - Chenghan Xu:
Image-based Candlestick Pattern Classification with Machine Learning. 26-33 - Harsh Vardhan
, Janos Sztipanovits:
Rare event failure test case generation in Learning-Enabled-Controllers. 34-40 - Wenlong Feng, Wei Dong, Shouchao Zhai, Guohua Zhang, Xinya Sun, Yindong Ji:
A Deep Reinforcement Learning Method for Freight Train Driving Based on Domain Knowledge and Mass Estimation Network. 41-46 - Bhuwan Bhattarai, Yagya Raj Pandeya, Joonwhoan Lee:
Deep Learning-based Face Mask Detection Using Automated GUI for COVID-19. 47-57 - Yajie Zhang, Sijie Lu:
Multi-Model Fusion Method and its Application in Prediction of Stock Index Movements. 58-64 - Kuruge Darshana Abeyrathna, Ole-Christoffer Granmo, Morten Goodwin:
Convolutional Regression Tsetlin Machine: An Interpretable Approach to Convolutional Regression. 65-73 - Xiangyang Yin:
Pigmented Skin Lesions Image Classification Based on Residual Network. 74-81 - Eunhye Kim, Hoon Jung:
Feature Engineering-based Short-Term Prediction Model for Postal Parcel Logistics. 82-89 - Tanakorn Puraram, Pimwadee Chaovalit, Apatha Peethong, Pongsak Tiyanunti, Supiya Charoensiriwath, Warangkhana Kimpan:
Thai Food Recommendation System using Hybrid of Particle Swarm Optimization and K-Means Algorithm. 90-95 - Xueyu Zhou, Guangyan Gan, Yanghao Xiao, Xiaolin Zhou, Haoxuan Li:
Music Exploration Based on XGBoost Algorithm and Node2vec-BP Model. 96-101 - Roman Olegovich Malashin:
Sparsely Ensembled Convolutional Neural Network Classifiers via Reinforcement Learning. 102-110 - Yeshan Wang:
Predicting the Degradation of COVID-19 mRNA Vaccine with Graph Convolutional Networks. 111-116 - Srinivas Anumasa, P. K. Srijith:
Delay Differential Neural Networks. 117-121 - Liang Zong:
Deep Neural Network Based Application Capacity Analysis in Finance System. 122-126 - Chutiakrn Jitmit, Wiwat Vatanawood:
Simulating Artificial Neural Network Using Hierarchical Coloured Petri Nets. 127-131 - Yagya Raj Pandeya, Bhuwan Bhattarai, Joonwhoan Lee:
Music Emotion Classification with Deep Neural Nets. 132-137 - Chengtai Li:
Language use as a manifestation of personality in daily life. 138-143 - Filippo Neri:
How to Identify Investor's types in real financial markets by means of agent based simulation. 144-149 - Anumukonda Naga Seshu Kumar, Rajesh Kumar Yadav, N. S. Raghava:
A Painstaking Analysis of Attacks on Hypervisors in Cloud Environment. 150-157 - Xi Chen, Stefano Bromuri, Marko C. J. D. van Eekelen:
Neural Machine Translation for Harmonized System Codes prediction. 158-163 - Xiaoyu Mo, Doney Peters, Chengwei Lei:
Low Cost Autonomous UAV Swarm Application in Wildfire Surveillance and Suppression. 164-169 - Nuttapol Thitaweera, Sukree Sinthupinyo:
Correlation Network Analysis in the Stock Exchange of Thailand (SET). 170-176 - Nittha Praechanya, Ohm Sornil:
Improving Thai Named Entity Recognition Performance Using BERT Transformer on Deep Networks. 177-183
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