11:00-12:30 Session MLBD1 (IN PERSON)

                       Chair: Alfredo Cuzzocrea - Room: Meeting Room 25

11:00-11:20 Two Shots Are Enough: Reliable Constrained Generation with LLMs

                     Manuel Mondal, Ljiljana Dolamic, Philippe Cudré-Mauroux, and Julien Audiffren

11:20-11:40 DART: Device-native Adaptive Real-time Training for Lifelong Learning on IoT Boards

                     Shamil Al-Ameen, Bharath Sudharsan, Osamah Alzacko, Roua Al-Taie, Tejal Shah, and Rajiv Ranjan

11:40-12:00 Hybrid Reinforcement Learning to Optimize for Physics‑Constrained Spectral Analysis

                     Anqi Chu and Wilhelm Stork

12:00-12:20 Comparative Evaluation of Deep Learning Models for Large-Scale Deforestation Mapping

     Keyu Wan and Ranga Raju Vatsavai

12:30–13:30 Lunch Break

14:30-16:00 Session MLBD2 (IN PERSON) -- PARALLEL SESSION --

Chair: Ranga Vatsavai - Room: Meeting Room 25

14:30-14:50 Designing Reputation Systems for Manufacturing Data Trading Markets: A Multi-Agent Evaluation with Q-Learning and IRL-Estimated Utilities

     Kenta Yamamoto and Teruaki Hayashi

14:50-15:10 USTNet: A Knowledge-Guided Spatio-Temporal Deep Learning Framework for Ulva Prolifera Suitability Assessment

     Zhiwei Zhou, Chunxiao Wang, Chuantao Li, Jintao Li, Xiaoning Wang, Yanchao Xiao, Dingfeng Yu, and Jian Zhang

15:10-15:30 Machine Learning on Big Economic Data for Predictive Financial Analytics

     Abhinav Jain, Carson Leung, Jing Xiang Ong, and Alfredo Cuzzocrea

15:30-15:50 Machine Learning on Big Data for Crime Trend Analysis and Prediction

     Maame Akroma Ansah, Carson Leung, Omodesayo Owolabi, and Alfredo Cuzzocrea

14:00-15:30 Session MLBD3 (ONLINE) -- PARALLEL SESSION --

Chair: Obaidullah Zaland - Room: Online

14:00-14:20 Hallucination Detection and Reclassification using Graph Co-Training

     Ragini Kihlman and Maria Fasli

     Zoom Link: https://umu.zoom.us/j/66688427874

14:20-14:40 Physics-Informed Machine Learning for Vessel Shaft Power and Fuel Consumption Prediction: Interpretable KAN-Based Approach

     Hamza Haruna Mohammed, Dusica Marijan, and Arnbjørn Maressa

     Zoom Link: https://umu.zoom.us/j/66726489101

14:40-15:00 Classification EM-PCA for Clustering and Embedding

     Zineddine Tighidet, Lazhar Labiod, and Mohamed Nadif

     Zoom Link: https://umu.zoom.us/j/63746079072

15:00-15:20 A Parallel and Distributed Rust Library for Core Decomposition on Large Graphs

     Davide Rucci, Sebastian Parfeniuc, Matteo Mordacchini, Emanuele Carlini, Alfredo Cuzzocrea, and Patrizio Dazzi

     Zoom Link: https://umu.zoom.us/j/68879447867

16:00–16:30 Coffee Break

16:00-17:30 Session MLBD4 (ONLINE)

Chair: Abderraouf Hafsaoui – Room: Online

16:00-16:20 Memory Instance Gated Transformer Reinforcement Learning for Portfolio Management

     Fengchen Gu, Zhilu Zhang, Zhengyong Jiang, Ángel F. García-Fernández, Jionglong Su, and Huakang Li

     Zoom Link: https://us05web.zoom.us/j/83178750636

16:20-16:40 Conflict Event Actor Prediction using Spatial Graph Neural Networks

     Niamat Zawad, Latifur Khan, Patrick Brandt, Vito D’Orazio, and Javier Osorio

     Zoom Link: https://us05web.zoom.us/j/85838730644

16:40-17:00 A Self-Adaptation Framework for Supporting Distributed Computing Based on Industry-Scale Digital Twins

     Alfredo Cuzzocrea, Cristina Seceleanu, and Tiberiu Seceleanu

     Zoom Link: https://us05web.zoom.us/j/83850275114

17:00-17:20 Hybrid CNN–Transformer Architecture for Object Detection and Multimodal Captioning in Educational Contexts

     Leila Habibi, Madjid Maidi, and Larbi Boubchir

     Zoom Link: https://us05web.zoom.us/j/88487442665

10:30-12:30 Session MLBD5 (IN PERSON) -- PARALLEL SESSION --

                       Chair: Alfredo Cuzzocrea - Room: Meeting Room 25

10:30-10:50 A Stacking-Based Ensemble Deep Learning Approach to Forecast Offshore Wind Farm Power Output

                     Long Hoang and Umair Ul Hassan

10:50-11:20 Predicting Machine Learning Training Costs with MLPerf Benchmarks

                     Jimin Kim and Young Yoon

11:20-11:40 Multidimensional Big Healthcare Data Generation for Alzheimer Disease Early Prevention and Analytics: The HCRS Algorithm

     Alfredo Cuzzocrea

11:40-12:00 ALCMAEON: A Multidimensional Big Data AnaLytiCs PlatforM for Supporting Predictive Analysis and Mining over Clinical and MEdical (Big) Data ON Alzheimer’s 

                     Disease Patients

     Alfredo Cuzzocrea

11:00-12:30 Session MLBD6 (ONLINE) -- PARALLEL SESSION --

Chair: Soumia Benkrid - Room: Online

11:00-11:20 Empathy by Design: Aligning Large Language Models for Healthcare Dialogue

     Emre Umucu, Guillermina Solis, Leon Garza, Emilia Rivas, Beatrice Lee, Anantaa Kotal, and Aritran Piplai

     Zoom Link: https://us05web.zoom.us/j/86013101969

11:20-11:40 Generation, Analysis and Experimental Validation of an Emotion-Enlightened Synthetic Dialogue-Dataset via Advanced LLM-Based Methodologies

     Alfredo Cuzzocrea, Abderraouf Hafsaoui, and Ismail Benlaredj

     Zoom Link: https://us05web.zoom.us/j/84739589718

11:40-12:00 Segment-Aware Learning for Adaptive Customer Churn Prediction

     Soumia Benkrid and Alfredo Cuzzocrea

     Zoom Link: https://us05web.zoom.us/j/86939860283

12:00-12:20 Empirical Likelihood for Regression with Sparsely Permuted Data

     Abhisek Chakraborty

     Zoom Link: https://us05web.zoom.us/j/86108875432

12:30–13:30 Lunch Break

14:00-15:30 Session MLBD7 (ONLINE)

Chair: Omer Faruk Deniz - Room: Online

14:00-14:20 PPSEBM: An Energy-Based Model with Progressive Parameter Selection for Continual Learning

     Xiaodi Li, Dingcheng Li, Rujun Gao, Mahmoud Zamani, Feng Mi, and Latifur Khan

     Zoom Link: https://zoom.us/j/99918381601

14:20-14:40 iTransformer-LSTM-MoE: A Dual-Branch Mixture-of-Experts Framework for Disk Failure Prediction

     Junqing Duan, Xiaotao Wei, Xiang Wei, Bingke Fu, Dashuai Guan, and Ruiping Yu

     Zoom Link: https://zoom.us/j/96036276696

14:40-15:00 Algorithms for Optimization and Near-Optimization of Time Series of Recommendations Based on Computational Model of Delayed Feedback Series

     Ishani Chakraborty

     Zoom Link: https://zoom.us/j/93451410662

15:00-15:20 Optimization of Deep Learning Models for Dynamic Market Behavior Prediction

     Shenghan Zhao, Yuzhen Lin, Ximeng Yang, Qiaochu Lu, Haozhong Xue, and Gaozhe Jiang

     Zoom Link: https://zoom.us/j/92801839358

16:00–16:30 Coffee Break

16:00-17:40 Session MLBD8 (ONLINE)

Chair: Shu Wan - Room: Online

16:00-16:20 CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting

     Shu Wan, Reepal Shah, John Sabo, Huan Liu, and K. Selçuk Candan

     Zoom Link: https://asu.zoom.us/j/84162030164

16:20-16:40 Multi-View Kernel Geometric Mean Metric Learning

     Jianjun He, Feng Qiao, Ruirui Zheng, Yu Zhou, Xinshu Cui, and Peng Xu

     Zoom Link: https://asu.zoom.us/j/89801949862

16:40-17:00 SCL-CFSR: Context-Aware Session-Based Recommendation via Self-Contrastive Learning and Multi-Layer Self-Filtering Residual Attention

     Jing He, Han Zhang, Lin Chen, Cheng Luo, Wei Guo, and Zhen Zhang

     Zoom Link: https://asu.zoom.us/j/89930927473

17:00-17:20 Vision Token Reduction via Attention-Driven Self-Compression for Efficient Multimodal Large Language Models

     Omer Faruk Deniz, Ruiyu Mao, Ruochen Li, Yapeng Tian, and Latifur Khan

     Zoom Link: https://asu.zoom.us/j/88998166622

17:20-17:40 Hybrid Optimized Bayesian Policy for Training Set Sampling for Recommendation Systems from Variably Imbalanced Clusters of Raw Data

     Ishani Chakraborty

     Zoom Link: https://asu.zoom.us/j/83361642013