Program

• 17:20 – 17:35
  Xiao Jin, Conner Parker and Rui Feng,
  “Structure-Informed Multi-Head Attention for Correlated Predictors”
• 17:35 – 17:50
  Evann Rabeau, Jérôme Iste, Ismael Freire and Mehdi Khamassi,
  “Model-free multi-agent reinforcement learning simulation of the influence of empathy on the sustainability of agents’ consumption in a common-pool resource dilemma”
• 17:50 – 18:05
  Tian Li, Huizhi Liang, Lucy Robinson and Varun Ojha,
  “Predicting Cognitive Behavioural Therapy Outcomes based on Clinical Assessments and Referral Letters”
• 18:05 – 18:20
  “Valerio Bellandi and Stefano Siccardi,
  “Predicting Energy Consumption in Buildings and Mobility with ML and Graphs”
• 18:20 – 18:35
  Ilinca Tiriblecea and Gabriel Turinici,
  “Inferring Missing Trajectory Data with Temporal Convolutional Networks”
• 18:35 – 18:50
  Qingliang Meng, Luogeng Xiong, Wei Liang, Huizhi Liang and Tian Li,
  “Unified Timbre-Style Representation Learning for Controllable Speech Synthesis”
• 18:50 – 19:05
  Simon Hakenes and Tobias Glasmachers,
  “Macro-Action Topological Navigation under Noisy Localization using Reinforcement Learning”
• 19:05 – 19:20
  Jianfei Xu, Huizhi Liang, Judith Harrison, John-Paul Taylor, Jaume Bacardit and Varun Ojha,
  “HypTI: Hyperbolic Geometry-Aware Multimodal Fusion Framework for Dementia Diagnosis Based on Tabular-Image Data”
• 19:20 – 19:35
  Tõnn Talpsepp, Kristjan Liivamägi and Tarvo Vaarmets,
  “What Does a Transformer Learn from an Investor’s Trade Sequence and Educational Profile?”
• 19:35 – 19:50
  Mark Callan and Meghana Kshirsagar,
  “Grounded Multi-Agent Reasoning for Financial Due Diligence: A Deterministic-First Architecture with Claim- Level Verification”

(remote presentations)

• 09:00 – 09:15
  Giuseppe Trimigno and Gianfranco Lombardo,
  “Prompt-Induced Schema Awareness for Question Answering over Knowledge Graphs”
• 09:15 – 09:30
  Gabriel Turinici,
  “Softmax gradient policy for variance minimization and risk-averse multi armed bandits”
• 09:30 – 09:45
  Muhammad Hashim, Roberto Rugani, and Marco Raugi,
  “Techno-Economic and Microscopic Simulation of DC Fast Charging for Electric Vehicles in Renewable Energy Communities”
• 09:45 – 10:00
  Nadejda Bocheva, Miroslava Stefanova and Milena Mihaylova,
  “Drift-Diffusion Modeling of Orientation Effects in Contour-Defined Triangle Detection under Time Pressure”
• 10:00 – 10:15
  Sarah Youssef, Hussein Assaf, Esam Abdel-Raheem and Ziad Kobti,
  “Clinical Prior-Guided Multimodal Learning Framework for Brain Tumor Segmentation”
• 10:15 – 10:30
  Jose Barrera-Garcia, Victor Macho, Broderick Crawford, Álvaro Olmedo, Felipe Cisternas-Caneo, Yoslandy Lazo,
  Ricardo Soto, José Maria Jurado Carmona, Giovanni Giachetti and José Manuel Gómez-Pulido,
  “When Features Leak: A Leakage Audit and Imbalance Benchmark for Manchester Triage”
• 10:30 – 10:45
  Nicola Floris, Gianmarco Cherchi, Gianni Fenu, Marco Manolo Manca, Roberto Saia, Riccardo Scateni and
  Alessandro Sebastian Podda,
  “A Data-Centric, Comparative Approach to Real-Time Pedestrian Orientation Estimation for Autonomous Driving”

(remote presentations)

• 11:20 – 11:35
  Asma Atamna, Tom Maus, Fabian Kievelitz and Tobias Glasmachers,
  “Cumulative Learning Rate Adaptation: Revisiting Path-Based Schedules for SGD and Adam”
• 11:35 – 11:50
  Marco Pilloni, Alessandro Giuliani, Alessandro Sebastian Podda, Alessia Pisu, Livio Pompianu and Salvatore Carta,
  “Semantic Normalization of Coercive Knowledge Graph Triples with Large Language Models”
• 11:50 – 12:05
  Gauri Vaidya, Gauri Mehta, Yuanyuan Chen, Alison O’Connor and Meghana Kshirsagar,
  “A Static Digital Twin Framework with Predictive Analytics for Healthcare Operational Intelligence”
• 12:05 – 12:20
  Minhquang Nguyen, Vanha Tran, Thiloan Bui, Truongminh Ngo and Thanhtu Nguyen,
  “Domain-Adapted Embedding Fine-tuning based ESG Question-Answering System Using GraphRAG and Large Language Models: A Case Study for the Vietnamese Banking Sector”
• 12:20 – 12:35
  Melchiorre Cosseddu, Salvatore Carta, Alessandro Sebastian Podda, Livio Pompianu, Marco Manolo Manca and Alessandro Giuliani,
  “Mapping Business Ecosystems with LLMs: An Automated Pipeline for Knowledge Graph Construction from Corporate Websites”
• 12:35 – 12:50
  José Luis Carrillo-Medina, Ivone Arias-Almeida, Pablo Morales-Paredes and Kevin Chuquitarco-Velasco,
  “A Two-Stage Framework for Facial Identification and Torso-Centered Person Re-Identification Using Body Silhouette and Clothing Color in Non-Overlapping Cameras”
• 12:50 – 13:05
  Cheng Arn David Goh,
  “Signed Decomposition of the Regression Structure via Linear JEPA Training: An Algorithm, Empirical Validation, and a Machine-Checked Proof”

(remote presentations)

• 15:00 – 15:15
  Shasha Yu, Fiona Carroll and Barry L. Bentley,
  “Execution-Refusal Profiling of Tool-Augmented LLM Agents: Behavioural Characterization Across Autonomy Scaffolds”
• 15:15 – 15:30
  Elena Bellodi and Francesco Resca,
  “Smart City Analytics for Sustainable Tourism: an AI-Driven Framework for Flow Forecasting in a Historic Borough”
• 15:30 – 15:45
  Elena Bellodi and Francesco Resca,
  “Forecasting and Interpreting Urban Air Pollution Under Weather, Traffic and Airport Influence”
• 15:45 – 16:00
  Emmanuel Osei-Brefo, Huizhy Liang, Carlos Amador, Gustavo Leon Cazares, Matthew Davis and Varun Ojha,
  “GenAnalysis: A Contract-Driven Multi-Agent Framework for Auditable Data Analysis and Interpretation”
• 16:00 – 16:15
  Maryam Mosleh and Ellis Solaiman,
  “Faithful Role-Aware Explanations for Adaptive Learning: Translating Structured XAI Evidence with LLMs”
• 16:15 – 16:30
  Shu Li, Huizhi Liang, Wanqing Zhao, Mohamad Kassem, Ankush Prashar and Varun Ojha,
  “HypCR: Hyperbolic Convolution Recurrent Model with Mixture-of-Experts for Multivariate Time-Series Forecasting”

• 19:00 – 19:15
  Andrea de Ruvo, Pierluigi Castelli, Nicolas Radomski and Adriano Di Pasquale,
  “PhenoCal: Natural-Control Label Calibration for Cross-Cohort Machine Learning”
• 19:15 – 19:30
  Stacey Truex and Margaret Malan,
  “Miles: A System for Parameter Analysis in Practical, Private Federated Learning”
• 19:30 – 19:45
  Yannick Kees, Elena Hoemann, Frank Köster and Sven Hallerbach,
  “Holistic Risk Assessment for AI Systems”
• 19:45 – 20:00
  Francesco Morano and Giovanni Denaro,
  “Phishing4training: an approach to train users on highly personalised phishing”

• 15:00 – 15:15
  Ioannis Demetriou and Eva Perivolari,
  “Explainable and Monotonic Machine Learning for Hotel Booking Cancellation Prediction”
• 15:15 – 15:30
  Derrick Chan and Dustin van der Haar,
  “Deep Learning Approaches to Restore Rainy Images in Adverse Weather Conditions”
• 15:30 – 15:45
  Ioannis Sfyrakis, Adam Booth, Rajiv Ranjan and Ellis Solaiman,
  “EdgeCross: A Distributed AI-Assisted Framework for DeFi Smart Contract Auditing”
• 15:45 – 16:00
  Absalom Ezugwu,
  “A Unified World Model for Predictive Representation Learning and Latent-Space Decision-Making”
• 16:00 – 16:15
  Michal Skalican, Patrik Kozlik, Filip Zatroch, Maximilian Strecansky, Stefan Dlugolinsky, Martin Bobak, Ladislav Hluchy and Igor Skrlec,
  “Explainable AI-Driven Pipeline Composition for Cloud-Edge Data Platforms”
• 16:15 – 16:30
  Tahitoa Leygue, Astrid Sabourin, Christian Bolzmacher, Sylvain Bouchigny, Margarita Anastassova and Quoc-Cuong Pham,
  “CADENCE: Congruence-Aware Word-Level Fusion for Speech Emotion Recognition”
• 16:30 – 16:45
  Agate Jarmakovica and Arnis Kirshners,
  “Transformer-Based Semantic Variable Layer for AI-Assisted Quality Assessment of Tabular Healthcare Data”
• 16:45 – 16:55
  Benny Stein and Abhinav Pareek,
  “A Trace-Based Monitoring Approach for Trustworthy Agentic AI”
  (Oral Presentation)

(remote presentations)

• 16:55 – 17:10
  Nikolay Georgiev,
  “Systemic Divergence in LLM-Based Personality Trait Estimation from Text Poses Risks for Psychological Applications”
  (Oral Presentation)
• 17:10 – 17:25
  Kexin Zheng and T. K. Satish Kumar,
  “A FastMap-Based Framework for Black-Box Optimization”
  (Oral Presentation)
• 17:25 – 17:40
  Vernon Kok, Absalom Ezugwu and Michael Olusanya,
  “Adaptive Object-Aware Mapless Mobile Robot Navigation Using YOLOE and Soft Actor-Critic”
  (Oral Presentation)
• 17:40 – 17:55
  Jorge Jabón Domínguez,
  “MGGAN: Learning a Multiscale Graph-based GAN for non-parametric 3D single-shape deformation and variation”
  (Oral Presentation)
• 17:55 – 18:05
  Rommel Regis,
  “Prompt Engineering for Learning Mathematical Optimization with ChatGPT”
  (Education Track)
• 18:05 – 18:15
  Vera Kalinichenko, “Vibe Coded Applications in the Industry Settings”
  (Oral Presentation)
• 18:15 – 18:25
  Mireia Louzan Calo, Sergio Consoli, Alessandro Zani, Mario Ceresa and Vicenç Gómez,
  “Federated Learning for Multimodal Wearable Human Activity Recognition: Preliminary Experiments”
  (Short Paper)
• 18:25 – 18:40
  Hasibul Karim Shanto and R. M. Shahbab,
  “Towards Robust and Stable Single Decision Trees under Distributional Shift”
  (Late Breaking Papers)
• 18:40 – 18:55
  Alejandro Aybar Flores, Rocío Maehara and Luis Benites,
  “Explaining and Segmenting Inequality Perceptions in Peru: Regression Evidence and Clustering from ENADES 2024” (Late Breaking Papers)
• 18:55 – 19:05
  Mohamed El Moutaouadia El Idrissi, Mohamed Sraitih, Parisa Ghodous, Guillaume Besch, Romain Bronnert and Amir Hajjam El Hassani,
  “Safe Active Learning for Patient-Specific Pharmacodynamic Identification in Propofol Sedation”
  (Short Paper)
• 19:05 – 19:15
  Pankaj Kumar Chauhan, Sachchida Nand Chaurasia and Shyam Sundar,
  “A Reinforcement Learning based Evolutionary Hyperheuristic for the Coloured Balanced TSP”
  (Oral Presentation)