Liebe Besucherinnen und Besucher,
aufgrund unseres Sommerfestes sind wir am 03. September 2026 bis 14 Uhr erreichbar. Am 04. September 2026 sind wir wieder wie gewohnt für Sie da. Vielen Dank für Ihr Verständnis.
Ihr Team von Sack Fachmedien
Buch, Englisch, 296 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 482 g
28th International Symposium, ISMIS 2026, Lyon, France, July 22-24, 2026, Proceedings
Buch, Englisch, 296 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 482 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-032-32642-3
Verlag: Springer
This book constitutes the proceedings of the 28th International Symposium on Methodologies for Intelligent Systems, ISMIS 2026, held in Lyon, France, during July 22–24, 2026.
The 19 full papers and 5 industrial papers presented in this volume were carefully reviewed and selected from 44 submissions The papers are organized in the following topical sections: Invited talks; Knowledge Representation and Formal Reasoning;Generative and Representation Learning; Reliability, Safety and Explainable AI; Industry Session; and Time Series and Stream Data.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
Weitere Infos & Material
.- 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.




