Hybrid Artificial Intelligent Systems
20th International Conference, HAIS 2025, Salamanca, Spain, October 16-17, 2025, Proceedings, Part II
Herausgegeben:Corchado, Emilio; Quintián, Héctor; Troncoso Lora, Alicia; Pérez García, Hilde; Jove Pérez, Esteban; Calvo Rolle, José Luis; Martínez de Pisón, Francisco Javier; García Bringas, Pablo; Mart
Hybrid Artificial Intelligent Systems
20th International Conference, HAIS 2025, Salamanca, Spain, October 16-17, 2025, Proceedings, Part II
Herausgegeben:Corchado, Emilio; Quintián, Héctor; Troncoso Lora, Alicia; Pérez García, Hilde; Jove Pérez, Esteban; Calvo Rolle, José Luis; Martínez de Pisón, Francisco Javier; García Bringas, Pablo; Mart
- Broschiertes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This 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…mehr
Andere Kunden interessierten sich auch für
Hybrid Artificial Intelligent Systems98,99 €
Hybrid Artificial Intelligent Systems91,99 €
Hybrid Artificial Intelligent Systems83,99 €
Zili Zhang / Chengqi Zhang (eds.)Agent-Based Hybrid Intelligent Systems58,99 €
Hybrid Artificial Intelligent Systems91,99 €
Hybrid Artificial Intelligent Systems76,99 €
Hybrid Artificial Intelligence Systems77,99 €-
-
-
This 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.
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.
Produktdetails
- Produktdetails
- Lecture Notes in Computer Science 16203
- Verlag: Springer, Berlin; Springer Nature Switzerland; Spring
- Artikelnr. des Verlages: 89556375
- Seitenzahl: 388
- Erscheinungstermin: 14. Oktober 2025
- Englisch
- Abmessung: 235mm x 155mm x 21mm
- Gewicht: 587g
- ISBN-13: 9783032084613
- ISBN-10: 303208461X
- Artikelnr.: 75386509
- Herstellerkennzeichnung
- Springer-Verlag KG
- Sachsenplatz 4-6
- 1201 Wien, AT
- ProductSafety@springernature.com
- Lecture Notes in Computer Science 16203
- Verlag: Springer, Berlin; Springer Nature Switzerland; Spring
- Artikelnr. des Verlages: 89556375
- Seitenzahl: 388
- Erscheinungstermin: 14. Oktober 2025
- Englisch
- Abmessung: 235mm x 155mm x 21mm
- Gewicht: 587g
- ISBN-13: 9783032084613
- ISBN-10: 303208461X
- Artikelnr.: 75386509
- Herstellerkennzeichnung
- Springer-Verlag KG
- Sachsenplatz 4-6
- 1201 Wien, AT
- ProductSafety@springernature.com
.- 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.
.- 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.
.- 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.
.- 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.







