Buch, Englisch, 384 Seiten, Format (B × H): 155 mm x 235 mm
23rd International Conference, MDAI 2026, Vic, Spain, September 7–9, 2026, Proceedings
Buch, Englisch, 384 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-37975-7
Verlag: Springer
This book constitutes the refereed proceedings of the 23rd International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2026, held in Vic, Spain, during September 7–9, 2026.
The 31 full papers included in this volume were carefully reviewed and selected from 80 submissions. The papers cover the following topical sections: Aggregation Operators, Fuzzy Measures and Integrals; Uncertainty and reasoning; Privacy and security; and Data science.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
Weitere Infos & Material
.- Aggregation Operators, Fuzzy Measures and Integrals
.- Multi-Sugeno-inspired Aggregation Functions.
.- A Riesz Type Theorem for the Sugeno Integral on a Locally Compact Space.
.- Uniform Structure and Group Properties of the Sugeno-Type Function Space L1(Su)L^1(Su)L1(Su).
.- Learning Interpretable Graded Logic Aggregators via Adaptive Anchor Composition.
.- Uncertainty and Reasoning
.- Two f-Divergence Entropy Families in Quantum Information: Structure and Coarse-Graining.
.- Building 3D Objects from Partial Views Using Voxels and Depth Uncertainty (VuQ3D).
.- Improving the Usefulness of Group Interval Priority Weights Under Individual Pairwise Comparison Matrices.
.- Cross-Domain Single Lesion Localization in Medical Images via Deep Reinforcement Learning.
.- Privacy and Security
.- Bistochastically Private Release of Longitudinal Data.
.- Detecting LLM Hallucinations via Anomaly Detection on Latent Representations.
.- On Privacy Metrics for Multi-hop Payments in the Lightning Network.
.- Direct Information Gain Estimation for Decision Tree Learning Under Local Differential Privacy.
.- Break the Glass in OBDA.
.- Data Science
.- Beyond Keywords: Automated Prerequisite Extraction and Evaluation with MAPLE.
.- Online Additive Hyperplanes: Conflict-Driven Constructive Classification.
.- Distributive Effects of AI Support: A Framework for Analyzing Performance Shifts Within Groups.
.- On Lehmer K-means and q-Boltzmann Factor K-means Clustering.
.- A Recommender System to Find the Best Class Balancing Technique for Your Tabular Dataset in Binary Classification Problems.
.- Exploiting Low-Rank Structure in SCADA Data for Wind Turbine Condition Monitoring.
.- Dual-Calibrated Venn Predictors for Detecting Localized Bias.
.- Extending Goal-Oriented Specification for Reinforcement Learning to High Dimensions.
.- Structural Compression of Ensemble Models via Evolutionary Algorithms.
.- PersiSTabNet: Persistence Statistics Tabular Network for Point Cloud Classification.
.- Text Re-identification Evaluation with Retrieval-Augmented Generation.
.- Plausibility Through Coherence: Evaluating Counterfactual Explanations in SHAP-Space.
.- Fair2Zero: Fairness-Aware Aggregation in Federated Learning.
.- Robust Bayes Acts Under Prior Perturbations: Contamination, Stability, and Selection Paths.
.- Understanding Specific Cows’ Behavior Through Cows’ Activity.
.- Classification Models Based on CPL Criterion Functions Applied to Clinical Kidney Data.
.- UnReL: Efficient Exact LLM Unlearning via Targeted Relearning.
.- Feature Selection for Uplift Modeling Under a Budget Constraint Assumption.
