DSAI 2023: 1st International Conference on Data Science & Artificial Intelligence
CONFERENCE PROGRAM
(last updated: 23 November 2023)
Monday 27 November (Kensington room, BerkEley Hotel 5th floor)
8:30 -8:45
Registration
8:45 – 9:00
Opening
9:00-10:00
Keynote presentation (chair: Dr. Chutiporn Anutariya)
Explainable Artificial Intelligence, Explained Peter Flach (University of Bristol, UK)
10:00-10:30
Coffee/Tea break
10:30-12:00
Session 1: Image Analysis and Object Recognition I (chair: Prof. José Machado)
Exploring Deep Learning Techniques for Vision-Based Vehicle Re-Identification:A Traffic Intersection Case Study Biplav Regmi, M. Dailey and M. Ekpanyapong
Segmentation of NKX2.5 Signal in Human pluripotent Stem Cell-derived Cardiomyocytes S. Jongsma, V. Schwach, S. A. Ten Den, R. Passier, Fons J. Verbeek and L. Cao
Deep Learning Implementation for Pineapple Maturity and SweetnessClassification Sayed Muchallil, S. Roza, Y. Candra, M. H. Al-Assad, M. Fitria, and Rahmad Dawood
12:00 – 13:15
Lunch break
13:15 – 15:05
Session 2: Foundations of Data Science and AI (Chair: Dr. Teeradaj Racharak)
SecureQNN: Introducing a Privacy-Preserving Framework for QNNs at the Deep Edge M. Costa, T. Gomes, J. Cabral, João Monteiro, A. Tavares and S. Pinto
Chaotic Mountain Gazelle Optimizer (CMGO): A Robust Optimization Algorithm for K-Means Clustering of Diverse Data Types Tanatip Watthaisong, K. Sunat and N. Muangkote
A Modified Hybrid RBF-BP Network Classifier for Nonlinear Estimation/Classification and Its Applications J. Wong and Po Chai Wong
Hybridization of Modified Grey Wolf Optimizer and Dragonfly for Feature Selection (short paper) Said Afghani and K. Sunat
15:05-15:30
Coffee/Tea break
15:30-16:20
Session 3: AI and Creativity (Chair: Dr. Erna Budhiarti)
A Computer Scientist’s View on Machine Learning and Creativity Maarten H. Lamers
Generative Design Optimization for Tourism-Oriented Souvenir Development: Blending Art and Science into Tourism Industry (short talk) Somlak Kielarova and Prapasson Pradujphongphet
17:30-19:30
Poster Session & Reception (The Lounge room, Berkley Hotel, 10th floor) (chairs: Dr. Vatcharaporn Esichaikul, Dr. Chantri Polprasert, and Dr. Chaklam Silpasuwanchai)
Adaptive Learning Models for Detecting Traffic Anomalies Manish Taneja, Matthew N. Dailey
Revealing the Hidden Potential Peatlands of the Samar Island, Philippines: An Application of Earth Data Science for Sustainable Environment Marichu Itang, Roderica Goles
Cross-Attention based Late-Fusion for Medical Visual Question Answering Aiman Lameesa, Chaklam Silpasuwanchai, Md. Sakib Bin Alam
Supporting Instructors’ Intervention in Computer Programming Courses: A Learning Analytics Approach Piriya Utamachant, Chutiporn Anutariya
Enhancing Sleep Apnea Diagnosis: Evaluating Wellue O2 Ring for Wearable Device-Based Detection Kristina Thapa, Chutiporn Anutariya
Integrating User-centred Design into Healthcare Data Analytics and Visualisation for Fall Detection Parkpoom Wisedsri, Chutiporn Anutariya
A Comprehensive Review of Local-Level Structural Damage Evaluation in Reinforced Concrete Structures Using Nonlinear Finite Element Analysis Sajedur Rahman
ENAN: Enhancement of Data Management Through Academic Credential – Capability Maturity Model in Higher Education Pricilla Faye T. Simon, Chutiporn Anutariya
A Comparative Analysis of Proactive Auto-Scaling Strategies Somesh Rao Coka, Chantri Polprasert
Enhancing Upper Limb Prosthetic Functionality Via Tinyml Powered Design, Emg, And 3d Printed Components Srijan Ghimire, Attaphongse Taparugssanagorn
Exploring the Role of Artificial Intelligence in Marketing and Sales: A Study on Natural Language Processing and Natural Language Generation Issaret Prachitmutita, Chutiporn Anutariya
Tuesday 28 November (KENSINGTON Room A, BerkEley Hotel, 5th floor)
9:00-10:00
Keynote presentation (Chair: Prof. Marcello Bonsangue)
Machine Speech Chain: A Deep Learning Approach for Modeling Human Speech Perception and Production with Auditory Feedback Mechanism for Low-Resource Languages Sakriani Sakti (Japan Advanced Institute of Science and Technology, JP)
10:00-10:30
Coffee/tea break
10:30-12:00
Session 4: Image Analysis and Object Recognition II (Chair: Dr. Khamron Sunat)
Improving Low Light Object Detection using Image Enhancement Models Muhammad Omer Farooq Bhatti and M. Dailey
Unsupervised Segmentation of High-throughput Zebrafish Images using Deep Neural Networks and Transformers Shima Javanmardi, X. Tang, M. Jahanbanifard and F. Verbeek
Using the New YoLo Models in Detecting Small-sized Objects in the Case of Rice Grains on Branche Khang Nguyen Quoc, A. Nguyen Quynh, H. Tran Ngoc and L.-D. Quach
12:00 – 13:15
Lunch break
13:15 – 14:35
Session 5: Data Science and AI in and for Healthcare (Chair: Prof. Fons Verbeek)
Enhancing Data Science Interoperability: An Innovative System for Managing OpenEHR Structures M. Dias, R. Sousa, J. Duarte, H. Peixoto, A. Abelha, and José Machado
Optimizing Heart Disease Classification: Exploring the Impact of Feature Selection and the Performance of Machine Learning Algorithms (short paper) A. Maulana, F. Faisyal, F. Tarmizi, Taufik Abidin and H. Riza
A Machine Learning Approach to Evaluating the Relationship between Dental Extraction and Craniofacial Growth in Adolescents G. Hernandez, A. Gonzalez-Briones, J. Machado, P. Chamoso and Paulo Novais
14:35-15:00
Coffee/Tea break
15:00-15:50
Session 6: Data Science and AI in Education (Chair: Dr. Patcharin Panjaburee)
A Case Study to Predict Failure on Secondary School (short paper) Sofia Jordão, Dalila Duraes and Paulo Novais
Navigating the Implications of AI in Indonesian Education: Tutors, Governance,and Ethical Perspectives Daphne Wong-A-Foe
15:50-17:10
Workshop
The teaching algorithm – How to design educational units like a Master of Education Alexandra Blank (Leiden University, NL)
Wednesday 29 November (Kensington room, BerkEley Hotel 5th floor)
9:00-9:50
Invited presentation (chair: Dr. Marteen Lamers)
Pedagogy-infused AI for Precision Education Patcharin Panjaburee (Khon Kaen University, TH)
9:50-10:20
Coffee/Tea break
10:20-11:50
Session 7: Data Mining and Machine Learning Deep Learning (chair: Dr. Chantri Polprasert)
Comparison of Machine Learning Models to Classify Documents on Digital Development Uvini Ranaweera, B. Mawitagama, S. Liyanage, S. Keshan, T. De Silva, and S. Hewawalpita
Exploration of the feasibility and applicability of domain adaptation in machine learning-based code smell detection P. Sukkasem and Chitsutha Soomlek
Web Usage Mining for Determining a Website’s Usage Pattern: A Case Study of Government Website Panunsiya Rawiraand V. Esichaikul
11:50 – 13:00
Lunch break
13:00 – 14:50
Session 8: Deep Learning (Chair: Prof. João Monteiro)
Deep-Learning-Based LSTM Model for Predicting a Tidal River’s Water Levels: A Case Study of the Kapuas Kecil River, Indonesia (short paper) K. Kurniawan, Joko Sampurno, R. Adriat, R. Ardianto and A. A. Kushadiwijayanto
Thai Conversational Chatbot Classification using BiLSTM and Data Augmentation Nunthawat Lhasiw, Tanatorn Tanantong and Nuttapong Sanglerdsinlapachai
DeepFakes Detection using Deep Learning Mariam Rehman, M. Rasool, and S. Safdar
Data Augmentation for EEG Motor Imagery Classification using Diffusion Model Nutapol Soingern, Akraradet Sinsamersuk, Itthi Chatnuntawech and Chaklam Silpasuwanchai
14:50-15:20
Coffee/Tea break
15:20-16:20
Session 9: Large Language Models (chair: Dr. Chitsutha Soomlek)
ChatGPT Knows Your Attacks: Synthesizing Attack Trees Using LLMs O. Gadyatskaya and Dalia Papuc
BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition Shin Thant, T. Racharak and F. Andres