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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
| Advances in Artificial Intelligence : 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, a Coruña, Spain, June 19-21, 2024, Proceedings |
| Autore | Alonso-Betanzos Amparo |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (293 pages) |
| Altri autori (Persone) |
Guijarro-BerdiñasBertha
Bolón-CanedoVerónica Hernández-PereiraElena Fontenla-RomeroOscar CamachoDavid RabuñalJuan Ramón Ojeda-AciegoManuel MedinaJesús RiquelmeJosé C |
| Collana | Lecture Notes in Computer Science Series |
| ISBN |
9783031627996
9783031627989 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Computational Methods -- 3 Results and Discussion -- 4 Conclusions and Further Work -- References -- Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains -- 1 Introduction -- 2 Related Work -- 3 Comprehensive Exploration of SNNs -- 3.1 Encoding Techniques -- 3.2 Neuron Models: SNNs Architectures for Energy Efficiency -- 3.3 Training Paradigms and Learning Methods in SNNs -- 4 Discussion in SNN Research for Energy Efficiency -- 5 Conclusion and Future Directions in SNNs Research -- References -- Deep Variational Auto-Encoder for Model-Based Water Quality Patrolling with Intelligent Surface Vehicles -- 1 Introduction -- 2 Previous Works -- 3 Statement of the Problem -- 4 Methodology -- 4.1 VAE-UNet Architecture -- 4.2 Multiagent Path Planning -- 5 Results -- 5.1 UNet-VAE Training Results -- 5.2 Patrolling Results -- 6 Conclusions and Future Work -- References -- An Architecture Towards Building a Reliable Suicide Information Chatbot -- 1 Introduction -- 2 Architecture of the Chatbot -- 2.1 Text Classification Filter for Not Suicidal Content -- 2.2 Text Classification Filter for Not Safe Information About Suicide -- 2.3 Retrieval Augmented Generation Module -- 3 Evaluation -- 4 Conclusions and Further Work -- References -- Age Estimation Using Soft Labelling Ordinal Classification Approaches -- 1 Introduction -- 2 Soft Labelling Methodology -- 3 Age Estimation Problems -- 4 Experimental Settings -- 4.1 Model Selection -- 4.2 Compared Methodologies -- 5 Results -- 6 Conclusions -- References.
O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification -- 1 Introduction -- 2 Methodology -- 2.1 Preliminary Definitions -- 2.2 Dictionary-Based Methods -- 2.3 Convolution-Based Methods -- 2.4 O-Hydra Approach -- 3 Experimental Setup -- 4 Results -- 5 Conclusions -- References -- Predicting Parkinson's Disease Progression: Analyzing Prodromal Stages Through Machine Learning -- 1 Introduction -- 2 Data -- 2.1 Database Description -- 2.2 Demographic and Clinical Data -- 2.3 Structural MRI Data -- 2.4 Pre-processing -- 3 Methodology -- 3.1 Feature Selection -- 3.2 Classification Algorithms -- 3.3 Classification Performance Evaluation -- 3.4 Explanation -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Ground-Level Ozone Forecasting Using Explainable Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Machine Learning -- 3.2 Hyperparameter Optimization -- 3.3 XAI -- 4 Results -- 4.1 Input Data -- 4.2 Evaluation Metrics -- 4.3 ML Optimization -- 4.4 XAI -- 5 Conclusions and Future Works -- References -- Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting -- 1 Introduction -- 2 Related Works -- 3 Description of the Proposed MOLS Algorithm -- 4 Methodology and Experimentation -- 4.1 Model -- 4.2 Main Phases -- 5 Results and Discussion -- 5.1 Datasets -- 5.2 Result and Analysis -- 6 Conclusions and Future Works -- References -- FuSDG: A Proposal for a Fuzzy Assessment of Sustainable Development Goals Achievement -- 1 Introduction -- 2 Definition of a Fuzzy SDG Index (FuSDG) -- 3 Case Study -- 4 On the Impact of Prioritization of the SDG -- 5 Discussion and Conclusions -- References -- A Surrogate Assisted Approach for Fitness Computation in Robust Optimization over Time -- 1 Introduction -- 2 Proposed Approach. 3 Computational Experiments -- 3.1 Computational Complexity -- 3.2 Experiment Results -- 4 Conclusion and Future Works -- References -- A Path Relinking-Based Approach for the Bi-Objective Double Floor Corridor Allocation Problem -- 1 Introduction -- 2 Problem Description -- 3 Optimization Proposal -- 3.1 Bi-Objective PR -- 3.2 Path Relinking -- 3.3 Algorithmic Description -- 4 Results -- 5 Conclusions and Future Work -- References -- An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines -- 1 Introduction -- 2 Related Works -- 3 Fundamentals -- 3.1 Quantum Fundamentals -- 3.2 Support Vector Machines -- 4 Methodology -- 5 Results -- 5.1 Quality Parameters -- 5.2 Dataset Description -- 5.3 Discussion -- 6 Conclusions -- References -- Preserving the Essential Features in CNNs: Pruning and Analysis -- 1 Introduction -- 2 Filter Pruning Strategy -- 2.1 Layer Essential Features -- 2.2 Pruning Method -- 3 Experiments and Results -- 3.1 Experimental Setting -- 3.2 Pruning Setting -- 3.3 Comparing Different Filter Selection Criteria -- 3.4 Results -- 4 Discussion on the Importance of Retaining the Essential Features -- 5 Conclusion -- References -- Iterated Local Search for the Facility Location Problem with Limited Choice Rule -- 1 Introduction -- 2 Formal Description of the Problem -- 3 Iterated Local Search -- 4 Computational Experiments -- 5 Conclusions and Future Work -- References -- Driven PCTBagging: Seeking Greater Discriminating Capacity for the Same Level of Interpretability -- 1 Introduction -- 2 Related Work on PCTBagging -- 3 Driven PCTBagging -- 4 Experimental Methodology -- 5 Experimental Results -- 6 Conclusions and Further Work -- References -- Semi-supervised Learning Methods for Semantic Segmentation of Polyps -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset. 2.2 Base Training Procedure -- 2.3 Distillation Methods -- 3 Results -- 4 Conclusions and Further Work -- References -- Community-Based Topic Modeling with Contextual Outlier Handling -- 1 Introduction -- 2 Related Work -- 3 Our Proposal -- 4 Experimental Study -- 4.1 The Datasets -- 4.2 Experimental Setup -- 5 Results -- 5.1 NCM4 and NCM8 Datasets -- 5.2 News and Tweets Datasets -- 6 Conclusions -- References -- Toward Explaining Competitive Success in League of Legends: A Machine Learning Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Models -- 3.3 Experimental Settings -- 3.4 Evaluation Metrics -- 3.5 Hyperparameter Optimization -- 4 Results -- 4.1 Best Models -- 4.2 Global Analysis -- 4.3 Role Analysis -- 4.4 Local Analysis -- 5 Conclusions and Future Works -- References -- Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models -- 1 Introduction -- 2 Background -- 2.1 Anomaly Detection in Time Series -- 2.2 Failure Detection in Wind Turbines -- 3 Methodology -- 4 Experimental Setup and Results -- 4.1 Dataset -- 4.2 Experimental Evaluation -- 4.3 Results and Discussion -- 5 Conclusions and Future Work -- References -- Multi-class and Multi-label Classification of an Assembly Task in Manufacturing -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusions and Further Work -- References -- Image Processing and Deep Learning Methods for the Semantic Segmentation of Blastocyst Structures -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Source -- 3.2 Proposal Description -- 3.3 Experimentation Setup -- 4 Results and Discussion -- 5 Conclusions and Further Work -- References -- Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction -- 1 Introduction -- 2 Methodology -- 2.1 Data. 2.2 The Multivariate Analogue Method -- 2.3 The MvAE-AM Approach -- 3 Experiments and Results -- 4 Conclusions -- References -- HEX-GNN: Hierarchical EXpanders for Node Classification -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 4 Method -- 5 Experimental Settings -- 5.1 Datasets -- 5.2 Settings -- 6 Results and Analysis -- 7 Conclusion and Future Work -- References -- The Notion of Bond in the Multi-adjoint Concept Lattice Framework -- 1 Introduction -- 2 Preliminaries -- 3 Bonds on a Multi-adjoint Framework -- 4 Conclusions and Future Work -- References -- Exploring the Use of LLMs for Teaching AI and Robotics Concepts at a Master's Degree -- 1 Introduction -- 1.1 Contribution -- 2 State of the Art -- 3 Materials and Methods -- 3.1 Courses -- 3.2 LLMs Impact -- 4 Practical Case -- 4.1 Project Description -- 4.2 llama.cpp -- 4.3 llama_ros -- 4.4 Mini Pupper -- 4.5 ChatBot Application -- 5 Discussion and Conclusions -- References -- Exploring the Capabilities and Limitations of Neural Methods in the Maximum Cut -- 1 Introduction -- 2 Background and Limitations -- 3 Case Study: NCO for the Maximum Cut -- 3.1 Maximum Cut Problem -- 3.2 NCO Model -- 4 Experiments -- 4.1 RQ1-A. Generalization to Different Graph Connectivity Levels -- 4.2 RQ1-B. Generalization to Different Graph Sizes -- 4.3 RQ2. Confidence Level of NCO Models -- 4.4 RQ3. Strategies to Minimize Training Costs -- 4.5 RQ4. NC Vs NI -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910865239103321 |
Alonso-Betanzos Amparo
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Agent-Based Modeling of Sustainable Behaviors [[electronic resource] /] / 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 [[electronic resource] /] / 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 Economic sociology 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 | ||
| ||