Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: cod="ra"
Treffer 126 von 2979519
|
|
| Link zu diesem Datensatz | https://d-nb.info/137889328X |
| Titel | Hybrid Artificial Intelligent Systems : 20th International Conference, HAIS 2025, Salamanca, Spain, October 16–17, 2025, Proceedings, Part II / edited 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 |
| Person(en) |
Corchado, Emilio (Herausgeber) Quintián, Héctor (Herausgeber) Troncoso, Alicia (Herausgeber) Pérez García, Hilde (Herausgeber) Jove Pérez, Esteban (Herausgeber) Calvo Rolle, José Luis (Herausgeber) Martínez de Pisón, Francisco Javier (Herausgeber) García Bringas, Pablo (Herausgeber) Martínez Álvarez, Francisco (Herausgeber) Herrero, Álvaro (Herausgeber) Fosci, Paolo (Herausgeber) Sérgio Filipe, Ramos (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XVII, 369 p. 108 illus., 89 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-08461-3 Printed edition:: ISBN: 978-3-032-08463-7 |
| Inhalt | -- 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2510140408273.946823573977 DOI: 10.1007/978-3-032-08462-0 |
| URL | https://doi.org/10.1007/978-3-032-08462-0 |
| ISBN/Einband/Preis | 978-3-032-08462-0 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Artificial Intelligence ; 16203 |
| DDC-Notation | 006.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
Treffer 126 von 2979519
Administration
