| 2025 | Knowledge Management and Acquisition for Intelligent Systems - 20th Principle and Practice of Data and Knowledge Acquisition Workshop, PKAW 2024, Kyoto, Japan, November 18-19, 2024, Proceedings Shiqing Wu, Xing Su, Xiaolong Xu, Byeong Ho Kang |
| 2024 | A Cross-Chain Analysis of NFT-Based Personal Data Marketplaces: Evaluating EVM-Supported Platforms for Transparent of Data Trading. Triet Minh Nguyen, Bang Le Khanh, Hong Khanh Vo, Nhi Truc Le, Nghiem Pham Thanh, Khiem Huynh Gia, Nam Tran Ba, Ngan Nguyen |
| 2024 | A Novel Adaptive Multi-Channel Fusion Network Based on Deep Learning for Diabetes Diagnosis and Readmission Prediction. Peng Xia, Ni Li, Xinying Wang, Yucong Duan, Zeyu Yang, Qi Qi |
| 2024 | A Variational Approach to Personalized Federated Learning and Its Improvement. Huiwen Wu, Shuo Zhang |
| 2024 | Aspect-Adaptive Knowledge-based Opinion Summarization. Guan Wang, Weihua Li, Edmund M.-K. Lai, Quan Bai |
| 2024 | Category-Aware Keypoint Masking to Address Biases in Semi-supervised 2D Pose Estimation. Xiangrui Liu, Shushi Hong, Yucheng Fang, Ruirui Li |
| 2024 | Computable Relations Mapping with Horn Clauses for Inductive Program Synthesis. Taosheng Qiu, Ryutaro Ichise |
| 2024 | Distributed Dataset Framework for Large Language Models Pre-training. Nao Souma, Yui Obara, Yasuhiko Yokote, Yutaka Ishikawa, Kimio Kuramitsu |
| 2024 | EBcGAN: An Edge-Based Conditional Generative Adversarial Network for Image Fusion. Mengshu Li, Zheyuan Yang, Yuai Hua, Jinyong Cheng |
| 2024 | Efficient Redundancy Elimination to Discovering Concise Prevalent Co-location Patterns. Vanha Tran, Vanluan Nguyen |
| 2024 | Fast and Robust Differential Private Stochastic Gradient Descent with Preconditioner. Huiwen Wu |
| 2024 | Improving User Satisfaction Through Approaches that Balance Recommendation Accuracy and Serendipity Tailored to Individual Preferences. Haruto Domoto, Takahiro Uchiya, Ichi Takumi |
| 2024 | Intent-Spectrum BotTracker: Tackling LLM-Based Social Media Bots Through an Enhanced BotRGCN Model with Intention and Entropy Measurement. Jinglong Duan, Ziyu Li, Xiaodan Wang, Weihua Li, Quan Bai, Minh Nguyen |
| 2024 | Low Cost Active Learning Framework for Short Answer Scoring. Tatsuya Hori, Koichiro Yamauchi |
| 2024 | Mining Prevalent Co-location Patterns with Multiple Minimum Prevalence Thresholds. Vanha Tran, Thiloan Bui, Thaigiang Do, Hoangan Le |
| 2024 | Multi-target Contrastive Objective for Learning Property-Aware Vision-Language Representation. Dieu-Hien Nguyen, Nguyen-Khang Le, Minh Le Nguyen |
| 2024 | Natural Language Integration for Multimodal Few-Shot Class-Incremental Learning: Image Classification Problem. Pitchayagan Temniranrat, Natsuda Kaothanthong, Sanparith Marukatat |
| 2024 | Optimizing Resource Distribution Towards Energy Justice in Resilient Smart Grids. Libo Zhang, Yuly Wu, Weidong Li, Song Yang, Yang Chen, Kaiqi Zhao, Jiamou Liu |
| 2024 | Precision 3D Motion Capture Using Pose Estimation Techniques: Application in Sports Video Analysis. Shuzo Kitano, Akimasa Ebihara, Tomohide Sawada, Niken Prasasti Martono, Hayato Ohwada |
| 2024 | Revolutionizing Organic Product Supply Chains: Blockchain, RSA-Encrypted NFTs, and IPFS for Ethical and Transparent Supply Chains. Trung Phan Hoang Tuan, Khoa Tran Dang, Nghiem Thanh Pham, Nam Tran Ba, Ngan Nguyen Thi Kim, Hieu Doan Minh, Loc Van Cao Phu |
| 2024 | Seq2Seq RNNs for Bus Arrival Time Prediction. Nancy Bhutani, Soumen Pachal, Avinash Achar |
| 2024 | The Integration of Federated Learning Techniques in Predictive Aircraft Maintenance Using Cloud Services. Kim Tigchelaar, Seyed Sahand Mohammadi Ziabari, Jeroen Mulder |
| 2024 | Towards Responsible Decisions with Limited Training Data Using Human-in-the-Loop. Ashesh Mahidadia, Michael Bain, Hendra Suryanto, Byeong Kang, Charles Guan, Paul Compton |
| 2024 | Virtual Learning Machine for Tiny Devices. Nozomi Kitagawa, Koichiro Yamauchi |
| 2024 | kNN-Res: Residual Neural Network with kNN-Graph Coherence for Point Cloud Registration. Muhammad S. Battikh, Artem Lensky, Dillon Hammill, Matthew Cook |