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Advances in Artificial Intelligence : 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19–21, 2024, Proceedings / / edited by Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso
Advances in Artificial Intelligence : 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, A Coruña, Spain, June 19–21, 2024, Proceedings / / edited by Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Verónica Bolón-Canedo, Elena Hernández-Pereira, Oscar Fontenla-Romero, David Camacho, Juan Ramón Rabuñal, Manuel Ojeda-Aciego, Jesús Medina, José C. Riquelme, Alicia Troncoso
Autore Alonso-Betanzos Amparo
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (293 pages)
Disciplina 006.3
Altri autori (Persone) Guijarro-BerdiñasBertha
Bolón-CanedoVerónica
Hernández-PereiraElena
Fontenla-RomeroOscar
CamachoDavid
RabuñalJuan Ramón
Ojeda-AciegoManuel
MedinaJesús
RiquelmeJosé C
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer networks
Social sciences - Data processing
Education - Data processing
Computer vision
Application software
Artificial Intelligence
Computer Communication Networks
Computer Application in Social and Behavioral Sciences
Computers and Education
Computer Vision
Computer and Information Systems Applications
ISBN 9783031627996
9783031627989
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards. -- Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains. -- Deep Variational Auto-Encoder for Model-based Water Quality Patrolling with Intelligent Surface Vehicles. -- An Architecture Towards Building a Reliable Suicide Information Chatbot. -- Age estimation using soft labelling ordinal classification approaches. -- O-Hydra: a hybrid convolutional and dictionary-based approach to Time Series Ordinal Classification. -- Predicting Parkinson’s Disease Progression: Analyzing Prodromal Stages through Machine Learning. -- Ground-Level Ozone Forecasting using Explainable Machine Learning. -- Multi-Objective Lagged Feature Selection based on Dependence Coefficient for Time-Series Forecasting. -- FuSDG: A proposal for a fuzzy assessment of Sustainable Development goals achievement. -- A surrogate assisted approach for fitness computation in robust optimization over time. -- A Path Relinking-based approach for the Bi-Objective Double Floor Corridor Allocation Problem. -- An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines. -- Preserving the Essential Features in CNNs: Pruning and Analysis. -- Iterated Local Search for the Facility Location problem with Limited Choice rule. -- Driven PCTBagging: Seeking greater discriminating capacity for the same level of interpretability. -- Semi-supervised learning methods for Semantic Segmentation of Polyps. -- Community-Based Topic Modeling with Contextual Outlier Handling. -- Toward Explaining Competitive Success in League of Legends: A Machine Learning Analysis. -- Reconstruction-based Anomaly Detection in Wind Turbine Operation Time Series using Generative Models. -- Multi-class and Multi-label Classification of an Assembly Task in Manufacturing. -- Image Processing and Deep Learning Methods for the Semantic Segmentation of Blastocyst Structures. -- Multivariate-Autoencoder flow-analogue method for heat waves reconstruction. -- HEX-GNN: Hierarchical EXpanders for Node Classification. -- The notion of bond in the multi-adjoint concept lattice framework. -- Exploring the use of LLMs for teaching AI and Robotics concepts at a Master's Degree. -- Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut.
Record Nr. UNINA-9910865239103321
Alonso-Betanzos Amparo  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Agent-Based Modeling of Sustainable Behaviors / / edited by Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Oscar Fontenla-Romero, J. Gary Polhill, Tony Craig, Javier Bajo, Juan Manuel Corchado
Agent-Based Modeling of Sustainable Behaviors / / edited by Amparo Alonso-Betanzos, Noelia Sánchez-Maroño, Oscar Fontenla-Romero, J. Gary Polhill, Tony Craig, Javier Bajo, Juan Manuel Corchado
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVII, 257 p. 86 illus., 67 illus. in color.)
Disciplina 006.30285436
Collana Understanding Complex Systems
Soggetto topico Social sciences—Data processing
Social sciences—Computer programs
Game theory
Economics - Sociological aspects
Artificial intelligence
Sustainable development
Computational Social Sciences
Game Theory, Economics, Social and Behav. Sciences
Organizational Studies, Economic Sociology
Artificial Intelligence
Sustainable Development
ISBN 3-319-46331-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Psychologically Plausible Models in Agent-Based Simulations of Sustainable Behavior -- Modelling Everyday Pro-Environmental Norm Transmission and Diffusion in Workplace Networks -- Empirically-Derived Behavioral Rules in Agent-Based Models Using Decision Trees Learned From Questionnaire Data -- The Implementation of the Theory of Planned Behavior in an Agent-Based Model for Waste Recycling: A Review and a Proposal -- Social Simulations Through an Agent-Based Platform, Location Data and 3D Models -- An Intersection-Centric Auction-Based Traffic Signal Control Framework -- Agentdrive: Agent-Based Simulator for Intelligent Cars and its Application for Development of a Lane-Changing Assistant -- City Parking Allocations as a Bundle of Society-Aware Deals -- Sustainable Farming Behaviours: an Agent Based Modelling and LCA Perspective -- Agent-Based Simulation of Electricity Markets: Risk Management and Contracts for Difference -- Energy Management in the Smart Grids via Intelligent Storage Systems.
Record Nr. UNINA-9910254602603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AI in Education and Educational Research : First International Workshop, AIEER 2024, Santiago de Compostela, Spain, October 19–20, 2024 Proceedings / / edited by Francisco Bellas, Oscar Fontenla-Romero
AI in Education and Educational Research : First International Workshop, AIEER 2024, Santiago de Compostela, Spain, October 19–20, 2024 Proceedings / / edited by Francisco Bellas, Oscar Fontenla-Romero
Autore Bellas Francisco
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (260 pages)
Disciplina 371.334
Altri autori (Persone) Fontenla-RomeroOscar
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Education - Data processing
Artificial Intelligence
Computers and Education
ISBN 3-031-93409-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Using Explainable AI for Robustness Checks in Requirement Level Classification for German Online Job Advertisements. -- Enhancing Critical Thinking in Education by means of a Socratic Chatbot. -- Sentiment Analysis for Academic Interest. -- The Interactive Career Atlas - an AI-based Web Application for Informed Career Decisions. -- Advancing Student Writing Through Automated Syntax Feedback. -- Phrase-Level Adversarial Data Generation for Bias Mitigation in Automatic Essay Scoring. -- Automated Essay Scoring with ChatGPT. -- More than a Technical Fix: An Interdisciplinary Approach to AI in Education. -- To Accept or Not to Accept? An IRT-TOE Framework to Understand Educators’ Resistance to Generative AI in Higher Education. -- Potential of GPT-4o in Learning Analytics: A Comparative Study with Moodle Logs Analytics. -- AI for Vocational Education and Training – Overview of Developments, Foci, and Gaps within 34 German Funding Projects. -- VET Teacher Training for AI in Specific Sectors in Spain. -- Personalized Learning of Programming Fundamentals through Robotic Simulations. -- Evaluating the Impact of Advanced LLM Techniques on AI Lecture Tutors for a Robotics Course. -- A Computerized Adaptive Competency-based Placement Test to Determine the Optimal Entry Point in Online Courses.
Record Nr. UNINA-9911018755603321
Bellas Francisco  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui