> Details

Quintián, Héctor [Editor]; Corchado, Emilio [Editor]; Troncoso Lora, Alicia [Editor]; Pérez García, Hilde [Editor]; Jove Pérez, Esteban [Editor]; Calvo Rolle, José Luis [Editor]; Martínez de Pisón, Francisco Javier [Editor]; García Bringas, Pablo [Editor]; Martínez Álvarez, Francisco [Editor]; Herrero, Álvaro [Editor]; Fosci, Paolo [Editor]

Hybrid Artificial Intelligent Systems - [1st ed. 2025.]

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: E-Book
  • Title: Hybrid Artificial Intelligent Systems : 19th International Conference, HAIS 2024, Salamanca, Spain, October 9–11, 2024, Proceedings, Part II
  • Contributor: Quintián, Héctor [Editor]; Corchado, Emilio [Editor]; Troncoso Lora, Alicia [Editor]; Pérez García, Hilde [Editor]; Jove Pérez, Esteban [Editor]; Calvo Rolle, José Luis [Editor]; Martínez de Pisón, Francisco Javier [Editor]; García Bringas, Pablo [Editor]; Martínez Álvarez, Francisco [Editor]; Herrero, Álvaro [Editor]; Fosci, Paolo [Editor]
  • Published: Cham: Springer Nature Switzerland, 2025.
    Cham: Imprint: Springer, 2025.
  • Published in: Lecture Notes in Artificial Intelligence ; 14858
  • Issue: 1st ed. 2025.
  • Extent: 1 Online-Ressource(XVIII, 307 p. 93 illus., 88 illus. in color.)
  • Language: English
  • DOI: 10.1007/978-3-031-74186-9
  • ISBN: 9783031741869
  • Identifier:
  • Keywords: Artificial intelligence.
  • Origination:
  • Footnote:
  • Description: HAIS Applications -- Identification and behaviour pattern recognition of cows in intensive and extensive farms using intelligent collars and dimensional reduction techniques -- A supervised clustering approach for subrole discovery in a multiplayer online battle arena game -- Evaluating the Privacy and Security Implications of AI Based Medical Chatbots on Android Platforms -- A Graph Data Model Creation Methodology for Accident Hotspot Prediction in Urban Areas -- HAIS Energy Applications -- A New Ensemble with Partition Size Variation Applied to Wind Speed Time Series -- BatNoiseDL Discrimination of bat signals through an ensemble of deep learning models -- Missing meteorological data imputation for mini eolic electrical power prediction -- Characterization of water consumers in urban areas based on data visualization techniques -- Image and Text Processing -- GenAI Powered Analysis of GIS App Privacy Policies for GDPR Compliance -- An in depth analysis of jailbreaking through domain characterization of LLM training sets -- Reframing Detector specific Prompt Tuning for Enhancing Open Vocabulary Object Detection -- Leveraging Retrieval Augmented Generation for reliable medical question answering using Large Language Models -- Satellite Guided Herding Optimizing Pasture Selection for Efficient Livestock Management -- Establishing the Foundation for Out of Distribution Detection in Monument Classification Through Nested Dichotomies -- A Preliminary Study on Preprocessing the Semantic Space in Zero Shot Learning -- Lexicon Annotation with LLM a proof of concept with ChatGPT -- Enhancing RAG Retrieval to Improve LLMs Robustness and Resilience to Hallucinations -- VIPER Vision based system to detect potential predators for herding with robots -- Common Sense Plan Verification with Large Language Models -- Reinforced Learning -- Reinforcement Learning for Dynamic Trajectory Adjustment in Human Robot Interaction within Virtual Simulations -- Artificial Intelligence in Portfolio Selection Problem A Review and Future Perspectives -- Networked Independent Reinforcement Learners Playing an Evolutionary Game -- Unity Based Autonomous Driving Environment A Platform for Validating Reinforcement Learning Agents -- Using Federated Learning Techniques to generalize Reinforcement Learning approaches.

    This two-part proceedings volume constitutes the refereed proceedings of the 19th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2024), held in Salamanca, Spain, during October 9–11, 2024. The 52 full papers were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows: Part I: Biomedical Applications, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization. Part II: HAIS Applications, HAIS Energy Applications, Image and Text Processing, Reinforced Learning.