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14th MIWAI 2021: Virtual Event
- Phatthanaphong Chomphuwiset, Junmo Kim, Pornntiwa Pawara:
Multi-disciplinary Trends in Artificial Intelligence - 14th International Conference, MIWAI 2021, Virtual Event, July 2-3, 2021, Proceedings. Lecture Notes in Computer Science 12832, Springer 2021, ISBN 978-3-030-80252-3 - Beomyoung Kim, Sangeun Han, Eojindl Yi, Junmo Kim:
3D Point Cloud Upsampling and Colorization Using GAN. 1-13 - Daan Apeldoorn, Lars Hadidi, Torsten Panholzer:
Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes. 14-26 - Sangho Lee, Junbeom Park, Ho Suk, Taewoo Kim, Pamul Yadav, Shiho Kim:
An Open-World Novelty Generator for Authoring Reinforcement Learning Environment of Standardized Toolkits. 27-33 - Chatklaw Jareanpon, Khanabhorn Kawattikul:
Book Cover and Content Similarity Retrieval Using Computer Vision and NLP Techniques. 34-44 - Stefanie Krause, Oliver Otto, Frieder Stolzenburg:
Fast Classification Learning with Neural Networks and Conceptors for Speech Recognition and Car Driving Maneuvers. 45-57 - Jih Soong Tan, Ian K. T. Tan:
Feature Group Importance for Automated Essay Scoring. 58-70 - Thananchai Khamket, Olarik Surinta:
Feature Extraction Efficient for Face Verification Based on Residual Network Architecture. 71-80 - Aristotle Tan, Hui-Ngo Goh, Lai-Kuan Wong:
Acquiring Input Features from Stock Market Summaries: A NLG Perspective. 81-93 - Chalermrat Nontapa, Chainarong Kesamoon, Nicha Kaewhawong, Peerasak Intrapaiboon:
A Comparative of a New Hybrid Based on Neural Networks and SARIMA Models for Time Series Forecasting. 94-105 - Peter David Shannon, Chrystopher L. Nehaniv, Somnuk Phon-Amnuaisuk:
Cartpole Problem with PDL and GP Using Multi-objective Fitness Functions Differing in a Priori Knowledge. 106-117 - Somnuk Phon-Amnuaisuk, Peter David Shannon, Saiful Omar:
Learning Robot Arm Controls Using Augmented Random Search in Simulated Environments. 118-128 - Md. Al Imran, Kazi Jahidur Rahaman, Mohammad Rasel, Shamim Hasnat Ripon:
An Analytical Evaluation of a Deep Learning Model to Detect Network Intrusion. 129-140 - Jaree Thomgkam, Vatinee Sukmak, Papidchaya Klangnok:
Application of Machine Learning Techniques to Predict Breast Cancer Survival. 141-151 - Rapeeporn Chamchong, Umaporn Saisangchan, Pornntiwa Pawara:
Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning. 152-163 - Jantima Polpinij, Bancha Luaphol:
Comparing of Multi-class Text Classification Methods for Automatic Ratings of Consumer Reviews. 164-175 - Chattrakul Sombattheera:
Improving Safety and Efficiency for Navigation in Multiagent Systems. 176-187
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