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ORCID12th IWCIA 2021: Hiroshima, Japan
- 12th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2021, Hiroshima, Japan, November 6-7, 2021. IEEE 2021, ISBN 978-1-6654-4425-5
- Sho Enomoto, Yutaka Sasaki, Naoto Yorino
, Yoshifumi Zoka, Samuel Kihembo Mumbere:
Solar Power Prediction Using Iterative Network Pruning Technique for Renewable-based Microgrid. 1-6 - Ikumi Kodaka, Fumiaki Saitoh:
A Study on Application of Curriculum Learning in Deep Reinforcement Learning : Action Acquisition in Shooting Game AI as Example. 1-6 - Aya Kitasato, Gendo Kumoi, Masayuki Goto:
A Study on New Product Recommendation Using Multi-Label CVAE for Fresh Flowers. 1-7 - Tomoki Sanada, Aya Ishigaki, Hideki Yaginuma:
Modeling of Inventory Routing Problem Considering Road Closures. 1-6 - Keiichi Tamura, Hajime Ito:
Protection Method based on Multiple Sub-Detectors against Audio Adversarial Examples. 1-7 - Qi Liu, Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki:
Improvement of learning method of multi-agent system by sharing learning data. 1-5 - Ayahiko Niimi:
Nice data mining! 1 - Shinya Sekizaki, Ichiro Nishizaki, Tomohiro Hayashida:
A Multi-objective Evolutionary Algorithm for Decision Support using Infeasible Information. 1-6 - Thanawit Gerdprasert, Shingo Mabu:
Object Detection for Chest X-ray Image Diagnosis Using Deep Learning with Pseudo Labeling. 1-5 - Yuma Kawasaki, Tetsuhiro Miyahara, Tetsuji Kuboyama, Yusuke Suzuki, Tomoyuki Uchida:
Evolutionary Acquisition of Multiple TTSP Graph Patterns with Wildcards by Clustering TTSP Graphs. 1-8 - Qiuyue Li, Motonobu Hattori, Wei Zhang, Zhigang Gao:
Online Knowledge Distillation via Collaborative Learning with Enhanced Diversity and Gradual Ensemble. 1-6 - Daniel Moritz Marutschke, Jeremy White, Uwe Serdült:
WordPress and Kanban Use in Software Engineering Education Evaluated by Natural Language Processing and Neural Network. 1-6 - Shingo Umehara, Hisamitsu Nishioka, Aya Ishigaki, Kentaro Minagawa, Seiichi Yasui:
Effect of division of roles on learners in online manufacturing education. 1-6 - Fuyu Saito, Haruka Yamashita, Hokuto Sasaki, Masayuki Goto:
Machine Learning for Demand Prediction of Seasonal Second-hand Fashion Items Based on Prior and Fine-tuning Prediction Models. 1-6 - Takaki Nagao, Hiromasa Ijuin, Keisuke Nagasawa, Tetsuo Yamada:
Bi-objective Problem of Material-based GreenHouse Gas Emission and Costs by Global Supply Chain Network Disruption across TPP countries during COVID-19. 1-7 - Kentaro Sakurai, Yoshitaka Kameya:
Shared-Memory Parallelization of FP-growth with Dynamic Load Estimation and Balancing. 1-6 - Fumiyo Ito, Gendo Kumoi, Masayuki Goto:
Time Window Topic Model for Analyzing Customer Browsing Behavior. 1-8 - Yoshifumi Moriyama, Ichiro Iimura, Shigeru Nakayama:
Consideration on Isolation Strategy for Multi-Objective Quantum-Inspired Evolutionary Algorithm. 1-6 - Daisuke Hirotani, Tomohiro Hayashida, Ichiro Nishizaki, Shinya Sekizaki, Ibuki Maeda:
An Evolutionary Method of Computation for Dynamic Scheduling Problems with Periodic Demand. 1-5
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