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Full Description
This book constitutes the refereed proceedings of the Third International Conference on Data Science and Artificial Intelligence, DSAI 2025, held in Peradeniya, Sri Lanka, during November 19-21,2025.
The 22 full papers and 4 invited talks were included in this book were carefully reviewed and selected from 92 submissions.They were organized in topical sections as follows: Large Language Models and Advanced NLP, Computer Vision and Deep Learning for Image/Video Analysis, Healthcare, Medicine, and Survival Analysis, Time Series Forecasting and Predictive Modeling, Explainable AI and Bias Detection, Optimization, Efficiency, and Edge Computing, Domain-Specific Applications and Case Studies.
Contents
.- Invited Talks.
.- Machine Learning in Bio-Medical Problems.
.- Towards Verifiable and Trustable AI from Multiple Perspectives.
.- When Data Meets Story: Human-Centered Pathways for AI and Machine Learning.
.- Beyond the hype: creating impact with AI.
.- Large Language Models and Advanced NLP.
.- Enhancing large language model collaboration using multi-agent framework with uncertainty quantification.
.- Introducing a Scale for AI's Artistic Autonomy.
.- Find a Contrary in Hotel Reviews Booking.com: A Corpus Creation for Contrary Mining Task of Assumption-based Argument Mining.
.- Steering LLMs Towards Safer Shores.
.- Computer Vision and Deep Learning for Image/Video Analysis.
.- Texture-Driven Siamese Networks with Vision Transformers for Offline Writer Verification.
.- Enhancing Sign Language Recognition with Video Swin Transformer and Keypoint-Based Frame Selection.
.- Advanced Data Preprocessing Pipeline for Pulmonary Embolism Detection: RSNA Challenge Dataset with Deep Learning-Based Lung Localization and Image Registration.
.- Healthcare, Medicine, and Survival Analysis.
.- A Comparative Study on the Use of the Machine Learning Models and Traditional Survival Models for the Analysis of Pediatric Acute Lymphocytic Leukemia Data.
.- Advanced Analysis On The Application Of Artificial Intelligence Via Machine Learning In Predicting Preterm Human Births.
.- Smart Diagnosis of Anemia Subtypes Using CBC and Deep Learning.
.- Predictive Modeling of ICU Mortality Using Supervised Machine Learning Algorithms.
.- Time Series Forecasting and Predictive Modeling.
.- Spatio-Temporal Patterns of Grave Crime in Sri Lanka: A Comprehensive Analysis.
.- Short-term Solar Irradiance Forecasting Using Machine Learning: A Comprehensive Study for Sri Lanka's Tropical Climate.
.- Deep Learning Models for Multimodal Demand Forecasting in Retail: A Comparative Case Study of Long Short-Term Memory and Temporal Fusion Transformers.
.- Explainable AI and Bias Detection.
.- Explainable AI for Chronic Kidney Disease Progression: Integrating Domain-Specific Cox Survival Analysis with Clinical Decision Thresholds.
.- Enhancing Isolation Forest with Rule Based Knowledge from Association Rule Mining.
.- Optimization, Efficiency, and Edge Computing.
.- Enhanced Adaptive Smell Agent Optimization: Leveraging Fusion Besiege Attack and Probabilistic Switching Mechanism for Constrained Optimization Tasks.
.- Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices.
.- Task-Specific Knowledge Distillation for Scalable Sentiment Classification in Low-Resource Settings.
.- Domain-Specific Applications and Case Studies.
.- Analyzing Online User Feedback on Digital Wallets & Buy-Now-Pay Later Services: Assessing Customer Sentiments of FinTech Solutions in Sri Lanka.
.- Cultural-Contextual Soulmate Prediction using a Multi Task Neural Network Approach for Sri Lankan Compatibility Modeling.
.- Extending a Geodatabase Framework for AI-Based Analysis of Digital Elevation Models to Support Earth Observation Applications.
