LEADER 05724nam 22005775 450 001 9911047716903321 005 20251013130510.0 010 $a3-032-08462-8 024 7 $a10.1007/978-3-032-08462-0 035 $a(MiAaPQ)EBC32345846 035 $a(Au-PeEL)EBL32345846 035 $a(CKB)41640976900041 035 $a(DE-He213)978-3-032-08462-0 035 $a(EXLCZ)9941640976900041 100 $a20251013d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHybrid Artificial Intelligent Systems $e20th International Conference, HAIS 2025, Salamanca, Spain, October 16?17, 2025, Proceedings, Part II /$fedited by Emilio Corchado, Héctor Quintián, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove Pérez, José Luis Calvo Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez Álvarez, Álvaro Herrero, Paolo Fosci, Ramos Sérgio Filipe 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (568 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v16203 311 08$a3-032-08461-X 327 $a -- Deep Learning and Representation Learning. -- Knowledge Distillation of Class Activation Maps from Two Teachers for Continual Learning. -- RAPID: Robust Adaptive Probabilistic Inference with DINO Features. -- MapFM: Foundation Model-Driven HD Mapping with Multi-Task Contextual Learning. -- Revisiting Automatic Essay Assessment: A Relative Approach. -- Evaluating the Usefulness of Large Language Models for Human Activity Recognition Data Augmentation via Few-shot Samples. -- Determination of galaxy photometric redshifts using Conditional Generative Adversarial Networks (CGANs). -- Hybrid Vision System for Minor Pre-Assembly Identification in a Robotic Welding Cell. -- An energy efficient model based on the feature pseudo-embedding. -- HAIS Energy Applications. -- Forecasting Thermal Demand in Citizen Energy Communities Using Machine Learning: Application to the Urberoa Case Study. -- A Hybrid Modelling Approach for Forecasting the Acquired Electrical Power from Photovoltaic Panels. -- KARMA: KAN meets ARIMA. -- IIoT-Driven Time Series Imputation for Sustainable Metalworking Fluid Monitoring. -- Evolutionary Computation and Optimization. -- An Adaptive Memetic Algorithm for Solving the Multiple Knapsack Assignment Problem. -- Advanced Decomposition-based Bioinspired Algorithms for Multiobjective Phylogenetics. -- An Ant Colony Optimization Approach for Safest Path Pair Computation under Correlated Failures. -- DRL-Driven Batch-Oriented SDN Migration with Weighted Traffic Matrix Clustering for Dynamic Networks. -- Reinforcement Learning and AI Planning. -- Emotional Value-aware Agents: a Viewpoint paper. -- Neuro-Symbolic Reasoning with Multiple Large Language Models Combined by First-Order Logic. -- SimplyQRL: A Modular Benchmarking Library for Hybrid Quantum Reinforcement Learning. -- Enhancing World Models with Specialized Prediction Networks for Reinforcement Learning. -- Smart Mobility and Transportation Optimization. -- Clustering-Based Route Optimization for Mixed Ride-Sharing under Time Constraints. -- Origin-Destination Frequency Tensors and Their Application in Machine Learning Modelling. -- Fast-TRACLUS: An Optimized Trajectory Clustering Algorithm for Large-Scale Datasets. -- Action Space Size Effects in Reinforcement Learning for the Vehicle Routing Problem. -- Time Series and Forecasting Methods. -- Perplexity, Uncertainty, and the Limits of Active Learning. -- Channel selection and creation algorithms for Electroencephalography classification with HIVE-COTE. -- Multivariate Regime Identification and Prediction in Financial Markets via Gaussian Mixture and Gradient Boosting Methods. -- On-Edge Task Planning with Large Language Models for Service Robotics. 330 $aThis book constitutes the proceedings of the 20th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2025, held in Salamanca, Spain, during October 16?17, 2025. The 53 full papers included in this book were carefully reviewed and selected from 120 submissions. They focus on the following topical sections: Part I: Agricultural and Environmental Monitoring; Biomedical Applications; Cybersecurity and Network Protection; Data Mining and Decision Support Systems. Part II: Deep Learning and Representation Learning; HAIS Energy Applications; Evolutionary Computation and Optimization; Reinforcement Learning and AI Planning; Smart Mobility and Transportation Optimization; Time Series and Forecasting Methods. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v16203 606 $aArtificial intelligence 606 $aArtificial Intelligence 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a006.3 700 $aCorchado$b Emilio$01423613 701 $aQuintián$b Héctor$01423612 701 $aTroncoso Lora$b Alicia$01423610 701 $aPérez García$b Hilde$01423608 701 $aJove Pérez$b Esteban$01790195 701 $aCalvo Rolle$b José Luis$01378563 701 $aMartínez de Pisón$b Francisco Javier$01257839 701 $aGarcía Bringas$b Pablo$01423607 701 $aMartínez Álvarez$b Francisco$01423609 701 $aHerrero$b Álvaro$01423611 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911047716903321 996 $aHybrid Artificial Intelligent Systems$94466432 997 $aUNINA