Special Session Schedule

SS02 - 11th Special Session on Intelligent Data Mining


11th Special Session on Intelligent Data Mining
Schedule - 9 December 2025 Tuesday

ONLINE PRESENTATIONS
Time Title Presenter/Author
7:50 am Opening Remarks Uraz Yavanoglu
08:00 am-08:15 am A Comparative Study of AI-Driven Ontology Enrichment for Environmental Sustainability Sonia Khetarpaul
08:15 am-08:30 am Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models Hanjia Lyu
08:30 am-08:45 am LLM-GMP: Large Language Model-Based Message Passing for Zero-Shot Learning on Graphs Md Athikul Islam
08:45 am-09:00 am Bringing Shape to Spatio-Temporal Graph Contrastive Learning Yulia Gel
09:00 am-09:15 am Physics-guided Neural Network-based Shaft Power Prediction for Vessels Dogan Altan
09:15 am-09:30 am Lightweight Approach for Multi-Modal Irony Detection by Image Caption Generation Pinar Karagoz
09:30 pm-09:45 pm Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection Fariz Ikhwantri
09:45 am-10:00 am Oversampling-Enhanced Classification Models for Handling Imbalanced Recurrent Tuberculosis Data from Uttarakhand Ankit Rai
10:00 am-10:15 am Density2R: Efficient Document Reranking via Embedding Density over Parametric Knowledge of Large Language Models Md Shahir Zaoad
10:15 am-10:30 am Irony in Emojis: A Comparative Study of Human and LLM Interpretation Hanjia Lyu
10:30 am-10:45 am Global Conflicts Prediction via Novel Temporal-Spatial Graph Neural Networks Wenbo Du
10:45 am-11:00 am LLM4IoT: GPT-driven Large Language Models for Prediction of Multivariate IoT Time-Series Mehmet Ulvi Simsek
11:00 am-11:15 am Detecting Ad Hominem Arguments in Turkish Online Texts: A Study Based on Reddit Political Discussions Eda Naz Korkmaz Buyukyildirim
11:15 am-11:30 am Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data Kaushiki Nag
11:30 am-11:45 am A Customized Deep Learning Approach for Noise Reduction and Resolution Enhancement in SAR Images Gautam Srivastava
11:45 am-12:00 pm Dynamic Workflow Scheduling in Cloud-Fog Environments Using Enhanced Grey Wolf Optimization with Real-Time Data Integration Gautam Srivastava
12:00 pm-12:15 pm A Comparative Analysis of AI-enabled Science Education Research in China and Abroad Gautam Srivastava
12:15 pm-12:30 pm A Market-aware Reinforcement Learning Framework Incorporating Censored Data for Real-time Bidding Strategy in Online Advertising Jiun-Long Huang
12:30 pm-12:45 pm Comparative Analysis of Community Detection Algorithms and Machine Learning Approaches for Network Analysis Oluwafolake Ayano
12:45 pm-01:00 pm Rethinking Graph Reasoning: Equip Large Language Models with Topology-Enhanced Prompt Yizhuo Ma
01:00 pm-01:15 pm Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education Chengshuai Zhao
01:15 pm-01:30 pm Dimensionality Reduction of Mathematical Problem - Solution Embeddings from Large Language Models Jared Pilcher
01:30 pm-01:45 pm Towards Hierarchical Multi-Agent Decision-Making for UncertaintyAware EV Charging Lo Pang-Yun Ting
01:45 pm-02:00 pm Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models Liangjie Huang
02:00 pm-02:15 pm Hyperspectral Image Clustering Based on Weighted Spatial Denoising and Anchor Graph Chaodie Liu
02:15 pm-02:30 pm DataWiz: A No-Code Platform for Automated Data Visualization and Model Recommendation Surbhi Saraswat
02:30 pm-02:45 pm Can LLMs Improve Multimodal FactChecking by Asking Relevant Questions? Alimohammad Beigi
02:45 pm-03:00 pm IMPUGAN: Learning Conditional Generative Models for Robust Data Imputation Zalish Mahmud
03:00 pm-03:15 pm Can Language Models Enable InContext Database? Yu Pan
03:15 pm-03:30 pm Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction Minh-Hao Van


11th Special Session on Intelligent Data Mining
Schedule-11 December 2025 Thursday
-Conference Center, Meeting Room 7-

IN-PERSON & ONLINE PRESENTATIONS
Time Title Presenter/Author
7:50 am Opening Remarks Uraz Yavanoglu
08:00 am-08:15 am Evolution-Driven Deep Meta-Learning Algorithm for Multi-Objective Combinatorial Optimization Ruiran Yu
08:15 am-08:30 am KG-EDAS: A Meta-Metric Framework for Evaluating Knowledge Graph Completion Models Ajaz Ahmad Bhat
08:30 am-08:45 am A Spatio-Temporal Approach for Identifying Microorganisms in Short Image Sequences Antonio Parmezan
08:45 am-09:00 am Content-Based Macroscopic Microbial Image Retrieval Antonio Parmezan
09:00 am-09:15 am An Exploratory Study on Kaggle Competition Trend: Topics, Submissions, and User Performance Haijing Tu
09:15 am-09:30 am SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data Ke Yu
09:30 pm-09:45 pm MMPEP: A Multi-modal Framework for Post-Earnings Stock Movement Prediction Dingming Xue
09:45 am-10:00 am Comprehensive Evaluation of Transformer Models for Multilingual PII detection Divya Singh
10:00 am-10:15 am The Openness Assistant: a Swiss Platform for In-Depth Monitoring of Open Access Resources Philippe Cudre-Mauroux
10:15 am-10:30 am Contextual Graph Embeddings: Accounting for Data Characteristics in Heterogeneous Data Integration Yuka Haruki
10:30 am-10:45 am DODO: Causal Structure Learning with Budgeted Interventions Matteo Gregorini
10:45 am-11:00 am Deep Learning-Based Temporal Assessment of Corneal Endothelial Morphology Following Descemet Membrane Endothelial Keratoplasty: A Comparative Analysis of Dual Architectural Approaches Kasim Oztoprak
11:00 am-11:15 am HCMCTrafficDataset: Enabling Smart Mobility Solutions for Motorcycle-Dense Cities with Limited Infrastructure Minh-Son Dao
11:15 am-11:30 am Data Stories From Insights for IT Operations Maitreya Natu
11:30 am-11:45 am Semantic-Aware Association Rule Mining at Scale: Ontology-Free Generalization with LLMs Cristina Maier
11:45 am-12:00 pm Revisiting Global Local Outlier Scores based on Hierarchies for Clarity and Parameter-free Use Ji Sun Shin
12:00 pm-12:15 pm DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving Eunjoo Jeon
12:15 pm-12:30 pm A Graph Transformer-Based Framework for Shipborne Wind Speed Correction and Prediction Yuhang Zhang
12:30 pm-02:00 pm Lunch @ Hall FG
02:00 pm-02:15 pm Evaluating Knowledge Graph Complexity via Semantic, Spectral, and Structural Metrics for Link Prediction Ajaz Ahmad Bhat
02:15 pm-02:30 pm Accelerating Fuzzy Frequent Pattern Mining on GPUs with GPU Direct Storage Arjun Chakravarthi POGAKU




SS04 - 8th Special Session on HealthCare Data


8th Special Session on HealthCare Data – 9 December 2025
Special Session Chairs: Sultan Turhan, Ozgun Pinarer
Time Title Presenter/Author
11:00 Welcome
11:00-11:15 SP02202 Understanding the Impact of Environmental Contexts on Lung Cancer with Simplicial Representation Learning and Remote Sensing Yulia Gel
11:15 - 11:30 SP02204 Accelerating Causal Network Discovery of Alzheimer’s Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation Xiaofan Zhou
11:30 – 11:45 SP02205 Exploring Barriers and Misconceptions toward Clinical Trials on Social Media Using Large Language Models Ching-Hua Chuan
11:45 – 12:00 SP02206 DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification Imran Razzak
12:00 – 12:15 SP02207 Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning Yuna Haseyama
12:15 – 12:30 SP02209 Efficient Neural Architectures for Real-Time ECG Interpretation on Limited Hardware Ashery Mbilinyi
12:30 – 13:30 Lunch Break
14:30 – 14:45 SP02210 A Knowledge-Driven Multi-Tier Architecture for Lossless Medical Image Storage and Sub-Second Retrieval in Large-Scale Neuroimaging Studies Oğuzhan Güngör
14:45 – 15:00 SP02211 Prediction of Long-COVID and Mortality among Patients with Substance Use Disorder Jiawei Wu
15:00 – 15:15 SP02212 CAEW: An Explainable Approach to Understanding EEG Patterns in Major Depressive Disorder Abdulaziz Alhamadani
15:15 – 15:30 SP02213 Visualizing Asthma-related Digital Health Data for Everyday Users Hamid Mansoor
15:30 – 15:45 SP02214 multiMentalRoBERTa: A Fine-tuned Multiclass Classifier for Mental Health Disorder K M Sajjadul Islam
15:45 – 16:00 SP02215 Error-Aware Text-to-SQL Generation for Clinical Trial Eligibility Criteria Querying in EHR Databases Yingcheng Sun
16:00-16:30 Coffee Break
16:30 – 16:45 SP02216 Systematic Literature Review on Knowledge Graph for Clinical Decision Support Systems Ghada Besbes
16:45 – 17:00 SP02217 Clustering-Based Balance Phenotyping in Older Adults from Treadmill Training Interventions Shafiq Alam
17:00-17:15 SP02218 Investigating the Zero-Shot Learning Capabilities of Large Language Models in Extracting Key Insights from Suicidal Narratives Salim Sazzed
17:15-17:30 BigD360 OmniSenseNet: A Position-Specific Strategy for Complex Cell Image Segmentation Yuhan Zhang
17:30 – 17:45 BigD973 A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation Prateek Verma
17:45 – 18:00 SP02208 Enhancing Federated Learning Performance Through Clustering in Big Data Healthcare Scenarios Ozgun Pinarer
0.75 Closing Remarks




SS05 & SS10 - Special Session on Dataspaces and DFFT (Data Free Flow with Trust) with Synergizing Mobility Data: for Human Life Evolution in Real Spaces


Special Session on Dataspaces and DFFT (Data Free Flow with Trust) with Synergizing Mobility Data:
for Human Life Evolution in Real Spaces


Noboru Koshizuka
Time Title Presenter/Author
8th Dec Day 1
09:00--09:10 Opening Remarks
Introduction: Noboru Koshizuka and Yukio Ohsawa (Co-chair)
09:10--09:30 SP07202 Should a Data Space be a ``Space''? From Boundary-First Designs to Thin Core Kazuma Hatano and Noboru Koshizuka
09:30--9:50 SP07204 XCKAN: Federated Catalog for Data Discovery in Dataspaces Hangli Ge, Hideaki Takeda, Takeshi Sagara, Naho Kitano, and Noboru Koshizuka
9:50--10:10 SP07206 Dataspaces for Collaborative Research Soo-Yon Kim, Liam Tirpitz, Max Wagels, Benedikt T. Arnold, Christian Rennert, István Koren, Janik Rapp, Mario Moser, Wil van der Aalst, Bernhard Rumpe, Robert H. Schmitt, Jan Pennekamp, and Sandra Geisler
10:10--10:30 SP07207 Data Users’ Tsugoes Fit Data Free Flow with Trust - Lessons by Large Language Model - Yukio Ohsawa
10:30-11:00 Coffee Break
11:00--11:20 SP07209 A Verifiable AI Framework Informed by DFFT: Integrating LLMs with Synthetic Data via MCP for Consumer Preference Estimation Kenji Sakiyama, Aya Takeichi, Karin Matsumoto, Yusuke Taira, and Setsuya Kurahashi
11:20--11:40 SP07211 Towards a Citizen-Participatory Platform for Accessibility Data Collection using a Multimodal Large Language Model Masahiro Bessho and Ken Sakamura
11:40--12:00 BigD653 A Proposal for High-Level Architectural Model Capable of Expressing Various Data Collaboration Platform and Data Space Concepts Masaru Dobashi, Kohei Toshimitsu, Hirotsugu Seike, Miki Kanno, Genki Horie, and Noboru Koshizuka
12:00--12:20 BigD930 Quantitative Analysis of Blockchain Consensus Effects on Dataspace Transaction Latency Hirotsugu Seike, Yasukazu Aoki, and Noboru Koshizuka
--14:00 Lunch
14:00--14:10 Mid-term Introduction Yukio Ohsawa and : Noboru Koshizuka
14:10--14:30 SP06216 , Mobility Data Asset Evaluation for Spatial Environment Design Zhenggui Xiang and Guanting Chen
14:30--14:50 SP06215 , Linking urban morphology and human activity patterns: An empirical study based on mobility survey data from the Paris region Jianyu Fu, Zhihua Zhong, Xukang Wang, Jue Ma, and Yoshihide Sekimoto
14:50--15:10 SP06214 , Analytical model of Factory Automated Guided Vehicles Systems by using Multi-agent system Daimotsu Kato and Setsuya Kurahashi
15:10--15:30 SP06213 , Bayesian Network-Driven Level Correction for Computer Adaptive Testing: A Data-Driven Approach to Optimizing Learning Sequence Isao Karube and Setsuya Kurahashi
15:30-16:00 Coffee Break
16:00-16:20 SP06206 , Leveraging Visitor Mobility and IoT Sensor Networks for Sustainable Waste Management Slamet Kristanto Tirto Utomo, Hangli Ge, and Noboru Koshizuka
16:20-16:40 SP06203 , Place with Intention: An Empirical Attendance Predictive Study of Expo 2025 Osaka, Kansai, Japan Xiaojie Yang, Dizhi Huang, Hangli Ge, Masahiro Sano, Takeaki Ohdake, Kazuma Hatano, and Noboru Koshizuka
16:40--17:00 SP06208 , A Multiscale Hexagonal Framework for Urban Walkability Analysis using Open Geospatial Data Anderson Tadeu de Oliveira Oliveira and Flávio Soares Correa da Silva
17:00--17:20 SP06201 , Latent Interestingness of Regions Externalized on Multiscale Trend-Reach Entropy Yukio Ohsawa and Sae Kondo
17:20--17:40 SP06205 , Modeling Autonomous Mobility between Islands: A Case Study of the Oki Islands with Cyberspace and Physical Constrains Jun Nakamura, Sanetake Nagayoshi, and Tomohiro Kuroda
9th Dec Day 2
11:00--11:20 Satellite-AIS Fusion for Container Terminal Analytics: Towards Digital Port Operations in Tokyo’s Ohi Terminals Wenru Zhang and Ryuichi Shibasaki,
11:20--11:40 SP06207 , "Schedule Recovery Strategies in Container Liner Shipping Networks Using Multi-Agent Simulations" Kenta Kowatari and Ryuichi Shibasaki
11:40-12:00 SP06210 Small Data for Walkability: Street-Furniture Experiments and Mobility Sensors in a Japanese Compact City Sae Kondo, Kazuma Suzuki, Yukio Ohsawa
12:00--12:20 SP06202 , Social Engineering Attacks: A Systemisation of Knowledge on People Against Humans Scott Thomson, Michael Bewong, Arash Mahboubi, and Tanveer Zia
12:20--12:30 Closing Remarks and Awards




SS 09 & 11: Special Session on Social Cognitive Computing in Digital Education and Learning & Towards an Understanding of Artificial Intelligence: Bridging Theory, Explainability, and Practical Applications


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Special Session #09 & #11
Special Session on Social Cognitive Computing in Digital Education and Learning
Towards an Understanding of Artificial Intelligence: Bridging Theory, Explainability, and Practical Applications
Time Title Presenter/Author
Session 1 (Chair: Jerry Chun-Wei Lin)
Zoom link: https://polsl-pl.zoom.us/j/99181861459?pwd=KJxPX9nvhLNduJDnDdEHmD16dqUaUq.1
Meeting ID: 991 8186 1459
Passcode: 423429
Topic: Social Cognitive Computing in Digital Education and Learning
9:00–9:15 (online) Understanding and Generating Student Questions with LLMs in Collaborative Learning Han Kyul Kim, Shriniwas Nayak, Aleyeh Roknaldin, and Stephen Lu
9:15–9:30 (online) Performance Gap-Aware Distributionally Robust Optimization for Fair Deep Knowledge Tracing Han Kyul Kim and Stephen Lu
9:30–9:45 (onsite) GenAI for Social Work Field Education: Client Simulation with Real-Time Feedback James Sungarda, Hongkai Liu, Zilong Zhou, Tien-Hsuan Wu, Johnson Chun-Sing Cheung, and Ben Kao
9:40–10:00 (online) A Skill Graph Enhanced Job Recommendation Method for University Graduates—A Decade-Long Validation on Real-World Data Meiling Wang, SkillGraph-Alig
Topic: Towards an Understanding of Artificial Intelligence: Bridging Theory, Explainability, and Practical Applications
10:00–10:15 (onsite) Explaining Relation Networks for Few-Shot Learning Andrea Fedele, Beatrice Ferrigno, Riccardo Guidotti
10:15–10:30 (onsite) Interpretable and Accurate Hybrid Decision Trees with Selective Case-Based Splits Cristiano Landi, Alessio Cascione, Riccardo Guidotti
11:00–11:15 ( - ) Evaluating Explainable AI Implementation and User Agency Across Major Social Media Platforms Shafiq Alam, Aditya Pawade, Muhammad Sohaib Ayub, Saeed Ur Rehman, Asma Ayub
11:15–11:30 (online) FABLE: Fairness Attack in Abusive Language Detection Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
11:30–11:45 (onsite) Counterfactual Explanations for Ranking in Algorithmic Hiring Antonio Mastropietro, Riccardo Guidotti, Andrea Iommi, Anna Monreale, Salvatore Ruggieri
11:45–12:00 (onsite) Explainable Retrieval and Graph Augmented Code Vulnerability Repair Recommendations Alfred Amoah, Yan Liu
12:00–12:15 (online) DemoShapley: Valuation of Demonstrations for In-Context Learning Shan Xie, Man Luo, Chadly Stern, Mengnan Du, Lu Cheng
12:15–12:30 (online) Benford-Constrained Multimodal Learning for Few-Shot Fake Image Detection Jackson Astraikis, Robby Martin, Andrew Van Es, Supriya Kottam, Yingcheng Sun
Session 2 (Chair: Rafal Cupek)
Zoom link: https://polsl-pl.zoom.us/j/99181861459?pwd=KJxPX9nvhLNduJDnDdEHmD16dqUaUq.1
Meeting ID: 991 8186 1459
Passcode: 423429
Topic: Towards an Understanding of Artificial Intelligence: Bridging Theory, Explainability, and Practical Applications
14:00–14:15 (online) Enhancing Interpretability in Self-Training with Tsetlin Machines for Mitigating Noisy Pseudo-Labels Jiechao Gao, Rohan Kumar Yadav, Xinyuan Huang, Jie Wang
14:15–14:30 ( - ) Federated Learning for Wireless Communication Prediction — Use Case of Internal Logistic System with AGV Ireneusz Smolka, Olena Pavliuk, Rafał Cupek, Jakub Musiał
14:30–14:45 ( - ) XAI-Enhanced Sensor Fusion for Reliable Predictive Analytics in Industry 4.0 Tomasz Zyzak, Piotr Gaj, Ireneusz Smolka
14:45–15:00 (onsite) Accelerating Model Development for Vulnerability Detection with Federated Learning Tomasz Skowron, Adam Mastalerz
15:00–15:15 (online) GPU-enabled Edge-based Federated Continual Learning with Resource Adaptation for Efficient Non-stationary Visual Anomaly Detection Alexandre Niyomugaba, Dariusz Mrozek
15:15–15:30 (onsite) Comparative Analysis of Generator Architectures in CycleGAN for Image Style Transfer Michal Lenort, Jakub Szygula, Dariusz Marek, Karol Marszalek, Adam Domanski
Session 3 (Chair: Dariusz Mrozek)
Zoom link: https://polsl-pl.zoom.us/j/99181861459?pwd=KJxPX9nvhLNduJDnDdEHmD16dqUaUq.1
Meeting ID: 991 8186 1459
Passcode: 423429
Topic: Towards an Understanding of Artificial Intelligence: Bridging Theory, Explainability, and Practical Applications
16:00–16:15 ( - ) A Multi-AI Agent Framework for OT Network Traffic Assessment in 5G- based AGV Communication Ireneusz Smolka, Piotr Gaj, Jacek Stój
16:15–16:30 (onsite) Iterative Weighted-Voting Approach for Adaptive Time-Series Anomaly Correction in Federated AGV Systems Olena Pavliuk, Myroslav Mishchuk
16:30–16:45 (onsite) KG-SEA: A Self-Evolving Framework for Iterative Knowledge Graph Construction in Graph-RAG Systems Pi-Wei Chen, Myroslav Mishchuk, Alexandre Niyomugaba, Jerry Lin, Rafał Cupek
16:45–17:00 ( - ) Physics-Guided Counterfactual Explanations for Large-Scale Multivariate Time Series: Application in SEP Event Prediction Pranjal Vijaysing Patil, Anli Ji, Berkay Aydin
17:00–17:15 ( - ) From Black Box to Insight: Explainable AI for Extreme Event Preparedness Kiana Vu, Ismet Ozer, Phung Lai, Zheng Wu, Thilanka Munasinghe, Jennifer Wei
17:15–17:30 ( - ) Steganographic Data Exfiltration for Model Stealing: A Case Study on Energy Critical Infrastructure IEC 61850 Datasets Gustavo Sánchez, Muhammad Qasim, Ghada Elbez, Veit Hagenmeyer




SS 12: The 11th Special Session on Information Granulation in Data Science and Scalable Computing


Specil Session#12: The 11th Special Session on Information Granulation in Data Science and Scalable Computing

Chairs: T.P. Hong, Dominik Ślęzak and Shusaku Tsumoto
Time Title Presenter/Author
1030-1050 SP10209: A Concept Drift-based Technique for Trading Strategy Portfolio Dynamic Adjustment in Streaming Data Environments Chun-Hao Chen, Chieh-Shu Jaun, Chao-Chun Chen, and Tzung-Pei Hong
1050-1105 SP10206: Turning Point Prediction under Multi-Objective Genetic Algorithm Chi-Fang CHAO, Mu-En WU, Hsin-Hung LI, and Ming-Hua HSIEH
1105-1125 SP10211: Perturbation-based Vertical Federated Frequent Itemset Mining Tzung-Pei Hong, You-Da Chuang, Yu-Chuan Tsai, Shu-Min Li, and Wen-Yang Lin
1125-1140 SP10203: An Effective Music Emotion Recognition Approach Fusing Multi-Temporal Convolution Neural Networks and Auditory Fragment Mining Techniques Ja-Hwung Su and Liang-Yu Chen
1140-1155 SP10204: Application of radial basis function and deep neural networks to identify factors underlying missed appointments at hospital outpatient clinics Chee-Hoe Lo, Yi-Chung Chen, Yang-Chou Juan, Chun-Yuan Wang, Wen-Huang Wang, Shao-Yuan Lin, and Jia-Ching Ying
1155-1215 SP10207: Enhancing Cross-domain Visual Localization via Self-supervised Contrastive Learning Ting-Hsuan Liu and Eric Hsueh-Chan Lu
1215-1230 SP10213: Consumer Interaction Benchmark for Time Series Databases Marta Jadwiga Burzańska, Piotr Wiśniewski, Iga Łukiewska, and Krzysztof Stencel
Lunch Break
1430-1450 SP10210: Rescan-amended Federated Utility Mining Tzung-Pei Hong, Jing-Chi Yang, Yu-Chuan Tsai, and Chun-Hao Chen
1450-1510 SP10205: Information Granulation for Hierarchical Feature Selection in Detection of Anomalies in IoT devices Łukasz Wawrowski, Konrad Chwełatiuk, Marcin Michalak, Iwona Kostorz, Dominik Ślęzak, Piotr Biczyk, Błażej Adamczyk, and Maksym Brzęczek
1510-1525 SP10201: From Genetic Reads to Information Granules: Scalable Big NGS Data Cleaning with Apache Pig Bożena Małysiak-Mrozek, Tomasz Sitek, Vaidy Sunderam, Bolesław Pochopień, Krzysztof Tokarz, Che-Lun Hung, and Dariusz Mrozek
1525-1540 SP10215: An Investigation of Data Granularity in RAG Pipelines for Personalized Medicine Paritosh Pandey, Linh Le, Shaoen Wu, and Shirley Tian
1540-1555 SP10218: Modality-Aware Multimodal Fusion for Sleep Event Classification Kevin Hayes and Yingcheng Sun
Coffee Break
Online Session
1630-1650 SP10208: Topological Robust Reinforcement Learning Jaidev Goel, Roshni Anna Jacob, Jie Zhang, and Yulia Gel
1650-1705 SP10217: EvoRL: Evolution of Agentic Workflows using Reinforcement Learning Dinesh Attota and Ying Xie
1705-1725 BigD357: TabGSL: Graph Structure Learning for Tabular Data Predictions Jay Chiehen Liao, Jun-Wei Chiu, and Cheng-Te Li
1720-1740 SP10216: Topological Data Analysis in Rule Mining Space Shusaku Tsumoto, Shoji Hirano, and Tomohiro Kimura
1740-1755 SP10219: Medical Incident Reports Analysis Tomohiro Kimura and Shusaku Tsumoto
Closing Remarks

Organizer