Foundations of Intelligent Systems

.- Invited talks.
.- Data Streams: Learning and Forgetting.
.- From Dialogue to Decision: Orchestrating Agents for Conversational Data Exploration and Multi-Objective Optimization.
.- Knowledge Representation and Formal Reasoning.
.- A sub-symbolic model for the Geometric Intruder Task.
.- T-HiGra: Temporal Reasoning over Hierarchical Knowledge Graphs for Time-Constrained Open-Domain QA.
.- An Attack/Support-aware Weight Composition Strategy for Bipolar Weighted Argumentation Frameworks.
.- Timeline Generation from Event Logs under Evolving Properties.
.- Generative and Representation Learning.
.- ReMemDiff: Multi-Label Lifelong Machine Learning Using Deep Generative Replay.
.- Guided Conditional Diffusion for Correction of Weather Radar Beam Blockage Artefacts.
.- Boosting SSVEP Multi-Subject Classification through Mixture of ResNet-Based Experts.
.- Accelerating Gradual Pattern Discovery through Dimensionality Reduction.
.- Reliability, Safety and Explainable AI.
.- MalARN: an Adversarial Reconstruction Network for Improving Detection of Evolving Malware.
.- Diagnosing Hallucinations in RAG-Based Educational Recommendation Systems: A Controlled Comparative Study.
.- A Local Reliability Index for Trust-Aware Prediction Explanations under Missing Data
.- Counterfactuals to Manage Ongoing Business Process Deviances.
.- Industry Session.
.- How to use Language Models for Vehicle Service Complaint Classification under Industrial Constraints?.
.- Knowledge Extraction from Aviation Incident Reports via LLM Aspect-Based Summarization and Topic Modeling.
.- A Practical Evaluation Methodology for Generative AI in Maintenance Applications: Accuracy and Carbon Footprint.
.- Towards Personalized Oncology Rehabilitation: A Hybrid LLM Knowledge Graph Recommendation Approach.
.- From Zero-Shot to Domain Precision: Synthetic Data Fine-Tuning for Robust NER in Low-Resource Domain-Specific Texts.
.- Time Series and Stream Data.
.- Similarity-Guided Forecasting of Multiple Sequences from Mechanical Testing Data of Additively Manufactured Components.
.- Leveraging Foundational Time-Series Models for Zero-shot Appliance-level Load Forecasting.
.- Predictive Process Monitoring through the Lens of Deep Online Learning.
.- Predicting Quality of Life Deterioration in Cancer Immunotherapy using Multi-Timepoint Data Aggregation.
.- AI for Urban and Environmental Systems.
.- Improving Indoor Cellular Coverage Mapping using a Mobile Robot.
.- Cognitive Digital Twins for Smart Cities: Adaptive Agent-Based Urban Simulation with Online Learning.
.- A Hybrid CNN-BiLSTM Approach for Whale Monitoring Using Distributed Acoustic Sensing System.