Accepted Papers

Full Papers

Title Authors
Bayesian Adaptive Sparse Copula Artem Prokhorov and Martin Burda
Visual Question Answering for Medical Data Using a Visio-Linguistic Model Van Hieu Bui
Pharmaceuticals Supply Chain Integrity: Ensuring the authenticity of drugs and preventing counterfeit medicine by utilizing Smart Contracts, NFT, IPFS, and Distributed Ledgers Bang Le, Khanh Vo Hong, Minh Triet Nguyen, and Tuan Phat Tran Truong
Query-Decision Regression for Misinformation Prevention in Social Networks Siqi Wang, Jiahao Xie, Yifan Wang, and Guangmo Tong
Enhancing Poultry Disease Classification with Data Augmentation and Ensemble Learning Van-Thuan Tran
Graph-based Approaches for Image Space Exploration and Representative Set Selection Alexander Veremyev, Alexander Semenov, Eduardo Pasiliao, and Vladimir Boginski
Close Domain Vietnamese Speech Recognition with Transfer Learning Approach Hao Do
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems Youssef Mourchid, Alice Othmani, and Eya Mhedhbi
TIP: Predicting Tipping for User-Centered Misinformation Prevention Youval Kashuv, Raed Alharbi, and My T. Thai
Classifying Lexical Variations in Thai Social Media: A Machine Learning and LLMs Approach Pimmada Chirawat, Akkharawoot Takhom, Prachya Boonkwan, Dhanon Leenoi, and Tharathon Utasri
Enhance Air Quality Index Prediction with Inception Time - BiLSTM Model and Huber Loss Hao Do
Agen-Based Modelling Approach to Support Strategic Planning for EV Charging Stations in A University Campus Doanh Nguyen-Ngoc, Luca Ambrosino, Linh Do-Bui-Khanh, Khai Nguyen-Manh, Giuseppe Calafiore, and Laurent El Ghaoui
Facility Location under Nonlinear Customer Demand: A Fully Polynomial-Time Approximate Scheme Ba Luat Le, Thuy Anh Ta, Ngoc Anh Vu Thi, and Minh Hoang Ha
Calibrating Probabilistic Embeddings for Cross-Modal Retrieval Fengchun Qiao and Xi Peng
BCCNetAttention: Enhancing Breast Cancer Report through Image Captioning with Convolutional Neural Network and Transformer Architecture Huong Hoang Luong, Thai-Nghe Nguyen, and Nguyen Hai
TVGN: Mastering Predictions of Information Transmissibility in Time-Varying Networks Xinrui Shi and Yupeng Li
Energy Distance-Based EBM for Skin Lesion Classification: A Novel Approach Quyen Van Vo and Hiep Xuan Huynh
Navigating Trustworthiness in LLMs: An Examination of Privacy, Security, and Robustness Van Kieu Dang and Phung Lai
A One-dimensional Generative Diffusion Model for Network Traffic Dataset Generation Hung Le Viet, Khoa Tran Dinh Minh, and Pham Nhut
Trustworthiness in Vision-Language Models Kiana Vu and Phung Lai

Short Papers

Title Authors
Advanced Heuristic Solution for the Hospital-Resident Matching with Ties problem Uyen Nguyen and Sang Tran
Blockchain-Driven Pediatric Vaccine Management: Utilizing RSA-Encrypted NFTs, and IPFS for Secure Solutions Bang Le, Khanh Vo Hong, Minh Triet Nguyen, and Tuan Phat Tran Truong
Alzheimer's Disease Diagnosis with Enhanced Densely Connected Convolutional Networks Nguyen Hai, Hung le Quoc, Nam Dai Linh Tran, and Huong Hoang Luong
NFTs in Knowledge Management: Utilizing Blockchain Applications for Data Sharing Ngan Nguyen, Trung Phan, and Tuan Phat Tran Truong
Optimized Deep Learning Based Phishing Email Detection using BERT and Hill Climbing Algorithm Akshat Gaurav, Brij B. Gupta, Arcangelo Castiglione, Shavi Bansal, and Kwok Tai Chui
The Multifaceted Role of Trust and Reputation in the Digital Age: A Comprehensive Review Thi Kim Anh Vo
Intestate Inheritance Allocation Algorithm According to Thai Law using Bottom-up Pruning Approach Sorawit Chokphantavee, Sirawit Chokphantavee, and Somrudee Deepaisarn
Agent-Based Modeling Approach in Single Fish Population Management Doanh Nguyen-Ngoc, Thi Quynh Anh Tran, and Tri Nguyen-Huu
Classify bone fractures in X-ray images Tu Hoa, An Ho, Vi Ly, Son Huynh, and Binh Nguyen
Thai Legal Fact Classification of Property-Related Offences Using Finetuned BERT Modelling Sirawit Chokphantavee, Sorawit Chokphantavee, and Somrudee Deepaisarn
Gradient Upsampling for Enhanced Image Resolution and Classification Alexander Semenov, Chaity Banerjee Mukherjee, Vladimir Boginski, Eduardo Pasiliao, and Tathagata Mukherjee
Classifying Historical Cuisines Using Word Embeddings and Machine Learning Models: A Comparative Study Yusa Ece Demiral and Ali Alsahag
Energy-Based Learning for Robust Fake News Detection: A Graph Neural Network Approach with Trainable Cost Function Mao Nguyen Xuan, Dang Le Nguyen hai, Tan Huynh Ngoc, Minh Phan Le Nhat, Thien Pham Cong, and Tho Quan Thanh
Visual-based Navigation of Education Mobile Robot using Transfer Learning with Teachable Machine Nutchanon Yongsatianchot, Pradya Prempraneerach, Pakorn Uttayopas, Yutana Chongjarearn, Akkharawoot Takhom, Pattiya Thongkruer, and Kanchana Silawarawet
Tracing Farmers' Protests Online in Europe 2024 Andrzej Jarynowski, Alexander Semenov, Daniel Platek, and Vitaly Belik
Numerical Modelling of River Flood: A Case Study in the Nhat Le River Basin, Vietnam Doanh Nguyen-Ngoc, Luc Nguyen-Van, Quang Dinh-Nhat, Viet Nguyen-Trung, and Nghi Huynh-Quang
Energy-Driven Riemannian Block Matching Dung Ngoc Le Ha and Hiep Xuan Huynh

Extended Abstracts

Title Authors
Multivariate Distribution Modeling via Multidimenionsal Conditional Cross-Entropy Loss Functions in Neural Networks Alexander Semenov, Vladimir Boginski, and Eduardo Pasiliao
Influence Maximization Considering Stochastic Network Topology Zhecheng Qiang, Eduardo L. Pasiliao, and Qipeng Phil Zheng
Approximate core allocations for vertex cover games Haitao Wang, Han Xiao, and Qizhi Fang
Distributed Facility Location Games with Candidate Locations Feiyue Sun