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18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) [[electronic resource] ] : Salamanca, Spain, September 5–7, 2023, Proceedings, Volume 2 / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
| 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) [[electronic resource] ] : Salamanca, Spain, September 5–7, 2023, Proceedings, Volume 2 / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado |
| Autore | García Bringas Pablo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (376 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Pérez GarcíaHilde
Martínez de PisónFrancisco Javier Martínez ÁlvarezFrancisco Troncoso LoraAlicia HerreroÁlvaro Calvo RolleJosé Luis QuintiánHéctor CorchadoEmilio |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Industrial engineering Production engineering Computational Intelligence Industrial and Production Engineering |
| ISBN | 3-031-42536-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Special Session 2: Technological Foundations and Advanced Applications of Drone Systems -- Level 3 Data Fusion -- 1 Ontological Foundations -- 2 Level 3 Data Fusion -- 3 DNN Implementation -- 3.1 CoA Recognition -- 3.2 Event Prediction -- 3.3 Forensic Assessment -- 4 Modeling Courses of Action -- 4.1 Probability of Action -- 4.2 CoA Utility Modeling -- 4.3 Evaluating Response Effectiveness -- References -- Image Classification Using Contrastive Language-Image Pre-training: Application to Aerial Views of Power Line Infrastructures -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Selection and Processing -- 3.2 Data Labeling and Caption Generation -- 3.3 CLIP Classifier Selection Methodology -- 4 Results and Discussion -- 4.1 Zero-Shot vs. Few-Shot Classifier -- 4.2 CLIP Fine-Tuning -- 4.3 Final model -- 5 Conclusions -- References -- A Realistic UAS Traffic Generation Tool to Evaluate and Optimize U-Space Airspace Capacity -- 1 Introduction -- 2 Realistic UAS Traffic Generation and Specification -- 2.1 Identification of Common UAS Patterns -- 2.2 Traffic Generation Module -- 2.3 Traffic Specification Module -- 3 Validation of the Traffic Generation and Specification Modules -- 4 Next Steps: Towards a Separation Optimization and Evaluation Framework -- 5 Conclusions -- References -- UAV Airframe Classification Using Acceleration Spectrograms -- 1 Introduction -- 2 State of the Art -- 3 Proposed System -- 3.1 UAV Dataset and Spectrogram Generation -- 3.2 Classification Algorithm -- 4 Experiments and Results -- 5 Conclusions -- References -- Tuning Process Noise in INS/GNSS Fusion for Drone Navigation Based on Evolutionary Algorithms -- 1 Introduction -- 2 INS/GNSS -- 3 Tuning Process -- 4 Case Study -- 4.1 Mission Problem and Simulation Configuration -- 4.2 Filter Parameters.
4.3 Optimization Algorithms -- 5 Results -- 5.1 Results Comparison -- 6 Conclusions -- References -- Special Session 3: Soft Computing Methods in Manufacturing and Management Systems -- Digital Twins of Production Systems Based on Discrete Simulation and Machine Learning Algorithms -- 1 Introduction -- 2 Reinforcement Learning -- 3 A Digital Twin Based on Discrete-Event Simulation as a Reinforcement Learning Agent Environment -- 4 Summary -- References -- Edge Architecture for the Integration of Soft Models Based Industrial AI Control into Industry 4.0 Cyber-Physical Systems -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 4 Validation -- 5 Conclusions -- References -- The Use of Line Simplification and Vibration Suppression Algorithms to Improve the Quality of Determining the Indoor Location in RTLSs -- 1 Introduction -- 1.1 Methods and Technologies for Determining Indoor Location -- 2 Decawave as an Example of RTLS Based on UWB Technology -- 3 Algorithms for Improving RTLS Data -- 3.1 Polyline Simplification Algorithms -- 3.2 Location Instability Suppression Algorithm (LISA) -- 4 Research on the Effectiveness of Algorithms -- 4.1 Discussion of Results -- 5 Summary -- References -- Possibilities of Decision Support in Organizing Production Processes -- 1 Introduction -- 2 Industry 4.0 -- 2.1 Technologies of the Industry 4.0 -- 3 Methodology -- 4 Conclusion -- References -- Special Session 4: Efficiency and Explainability in Machine Learning and Soft Computing -- Efficient Short-Term Time Series Forecasting with Regression Trees -- 1 Introduction -- 2 Materials and Method -- 2.1 Dataset -- 2.2 Experimental Setup -- 2.3 Evaluation Procedure -- 3 Results -- 4 Conclusions -- References -- Generating Synthetic Fetal Cardiotocography Data with Conditional Generative Adversarial Networks -- 1 Introduction -- 2 Methodology. 2.1 Conditional Generative Adversarial Networks -- 2.2 Classifiers -- 3 Experiments -- 3.1 Dataset -- 3.2 CGAN Parameter Tuning -- 3.3 Classifiers Hyperparameter and Parameter Tuning -- 4 Results and Discussion -- 5 Conclusions -- References -- Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 ADL -- 3.2 Benchmark Algorithms -- 3.3 Explainability -- 4 Experimentation and Results -- 4.1 Input Data -- 4.2 Results and Discussion -- 4.3 Explainability -- 5 Conclusions and Future Work -- References -- Explaining Learned Patterns in Deep Learning by Association Rules Mining -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Rules Mining -- 3.3 Calculate Metrics -- 3.4 Classify -- 4 Results and Discussion -- 4.1 Experimental Setting -- 4.2 Metrics -- 4.3 Results -- 5 Conclusions -- References -- Special Session 5: Machine Learning and Computer Vision in Industry 4.0 -- A Deep Learning Ensemble for Ultrasonic Weld Quality Control -- 1 Introduction -- 2 Technology -- 2.1 Manufacturing Process -- 2.2 Deep Learning Models -- 3 Deep Learning Ensemble -- 4 Experimental Results -- 5 Conclusion -- References -- Indoor Scenes Video Captioning -- 1 Introduction -- 2 Related Works -- 2.1 Video Captioning -- 2.2 Indoor Scene Captioning -- 3 Methodology -- 4 Experiments -- 4.1 Charades Dataset -- 4.2 Postprocessing -- 4.3 Setup -- 4.4 Results -- 5 Conclusion -- References -- A Multimodal Dataset to Create Manufacturing Digital Twins -- 1 Introduction -- 2 Related Work -- 2.1 Pose Estimation for Action Recognition -- 3 Experimental Setup and Data Acquisition -- 4 Dataset Discussion -- 4.1 Dataset Top View -- 4.2 Dataset Side View -- 4.3 Dataset Front View -- 5 Datarecords -- 6 Conclusions and Future Work -- References. A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets -- 1 Introduction -- 2 Dataset -- 3 Proposed Method -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Results -- 5 Conclusions -- References -- Parallel Processing Applied to Object Detection with a Jetson TX2 Embedded System -- 1 Introduction -- 2 Methodology -- 3 System Architecture -- 3.1 Software Architecture -- 3.2 Hardware Architecture -- 4 Experimental Results -- 5 Conclusion -- References -- Deep Learning-Based Emotion Detection in Aphasia Patients -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Approach -- 5 Evaluation -- 6 Conclusion -- References -- Defect Detection in Batavia Woven Fabrics by Means of Convolutional Neural Networks -- 1 Introduction and Previous Work -- 2 Related Work -- 3 Case Study -- 4 Methods and Experimentation -- 4.1 Methods -- 4.2 Experimentation -- 5 Results -- 6 Conclusions -- References -- An Image Mosaicing-Based Method for Bird Identification on Edge Computing Devices -- 1 Introduction -- 2 Image Mosaicing-Based Method -- 3 Experiments and Results -- 3.1 Results -- 3.2 Analysis of the Results -- 4 Conclusion -- References -- HoloDemtect: A Mixed Reality Framework for Cognitive Stimulation Through Interaction with Objects -- 1 Introduction -- 2 Related Works -- 3 HoloLens 2 Application -- 3.1 HoloLens 2 API -- 3.2 Implementation Details -- 3.3 Data Collection -- 4 Evaluation of the Proposal -- 4.1 Qualitative Analysis -- 4.2 Quantitative Analysis -- 5 Conclusions -- References -- Accurate Estimation of Parametric Models of the Human Body from 3D Point Clouds -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Obtaining and Preprocessing of the 3D Model. -- 3.2 Estimation of an Intermediate Template Using BPS Neural Network -- 3.3 First Minimization: BPS to SMPL. 3.4 Second Minimization: 3D Scan to SMPL -- 4 Experiments -- 4.1 Datasets and Evaluation Metrics -- 4.2 Results -- 5 Conclusions -- References -- Lightweight Cosmetic Contact Lens Detection System for Iris Recognition at a Distance -- 1 Introduction -- 2 Related Work -- 3 Overview of the IAAD Framework -- 4 The Approach for Cosmetic Contact Lens Detection -- 4.1 BSIF Encoding of an Iris Pattern -- 4.2 Building the Ensemble of Classifiers -- 5 Results -- 5.1 Cross-Dataset Testing -- 6 Conclusions and Future Work -- References -- Vehicle Warning System Based on Road Curvature Effect Using CNN and LSTM Neural Networks -- 1 Introduction -- 2 Road Curvature-Based Dynamics of the Vehicle -- 3 Risky Maneuvers Identification by CNN and LSTM Models -- 3.1 Model's Selection of Variables -- 3.2 Deep Convolutional Neural Network Model -- 4 Results and Discussion -- 5 Conclusions and Future Works -- References -- Special Session 6: Genetic and Evolutionary Computation in Real World and Industry -- Enhancing Time Series Anomaly Detection Using Discretization and Word Embeddings -- 1 Introduction -- 2 Experimental Study -- 2.1 Problem Formulation -- 2.2 Data Preprocessing -- 2.3 Model Architecture -- 2.4 Datasets -- 3 Results -- 4 Conclusions and Future Work -- References -- Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments -- 1 Introduction -- 2 Non-Dominated Genetic Algorithm Approach -- 2.1 Route Generation -- 2.2 Initial Population -- 2.3 Crossover -- 2.4 Mutation -- 3 Experimentation Setup -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- On the Prediction of Anomalous Contaminant Diffusion -- 1 Introduction -- 2 Bevilacqua-Galeão (BG) Model and Numerical Solution -- 2.1 BG Model -- 2.2 Numerical Solution -- 2.3 Differential Evolution (DE) Method -- 3 Inverse Problem Formulation -- 4 Results. 4.1 Direct Problem and Case of Study. |
| Record Nr. | UNINA-9910743693003321 |
García Bringas Pablo
|
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Artificial Intelligence [[electronic resource] ] : 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings / / edited by Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado
| Advances in Artificial Intelligence [[electronic resource] ] : 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings / / edited by Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIX, 510 p. 134 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computers Information storage and retrieval Algorithms Computer communication systems Artificial Intelligence Information Systems Applications (incl. Internet) Computation by Abstract Devices Information Storage and Retrieval Algorithm Analysis and Problem Complexity Computer Communication Networks |
| ISBN | 3-319-44636-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image and video -- Classification -- Clustering -- Multiagent Systems -- Machine Learning -- Applications -- Evolutionary and Genetic Algorithms -- Metaheuristics -- Optimization -- Fuzzy Logic: Foundations and applications. |
| Record Nr. | UNISA-996465652803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Artificial Intelligence : 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings / / edited by Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado
| Advances in Artificial Intelligence : 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain, September 14-16, 2016. Proceedings / / edited by Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIX, 510 p. 134 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Computers Information storage and retrieval Algorithms Computer communication systems Artificial Intelligence Information Systems Applications (incl. Internet) Computation by Abstract Devices Information Storage and Retrieval Algorithm Analysis and Problem Complexity Computer Communication Networks |
| ISBN | 3-319-44636-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image and video -- Classification -- Clustering -- Multiagent Systems -- Machine Learning -- Applications -- Evolutionary and Genetic Algorithms -- Metaheuristics -- Optimization -- Fuzzy Logic: Foundations and applications. |
| Record Nr. | UNINA-9910483940303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hybrid Artificial Intelligence Systems [[electronic resource] ] : 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings / / edited by Marios Polycarpou, André C.P.L.F. de Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligence Systems [[electronic resource] ] : 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings / / edited by Marios Polycarpou, André C.P.L.F. de Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVIII, 710 p. 253 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Computers Pattern recognition Optical data processing Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-319-07617-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | HAIS Applications -- Data Mining and Knowledge Discovery -- Video and Image Analysis -- Bio-inspired Models and Evolutionary Computation -- Learning Algorithms -- Hybrid Intelligent Systems for Data Mining and Applications -- Classification and Cluster Analysis. |
| Record Nr. | UNISA-996217779303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Hybrid Artificial Intelligence Systems : 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings / / edited by Marios Polycarpou, André C.P.L.F. de Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligence Systems : 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014, Proceedings / / edited by Marios Polycarpou, André C.P.L.F. de Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVIII, 710 p. 253 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Computers Pattern recognition Optical data processing Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Computation by Abstract Devices Pattern Recognition Image Processing and Computer Vision |
| ISBN | 3-319-07617-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | HAIS Applications -- Data Mining and Knowledge Discovery -- Video and Image Analysis -- Bio-inspired Models and Evolutionary Computation -- Learning Algorithms -- Hybrid Intelligent Systems for Data Mining and Applications -- Classification and Cluster Analysis. |
| Record Nr. | UNINA-9910484252703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hybrid Artificial Intelligent Systems [[electronic resource] ] : 18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligent Systems [[electronic resource] ] : 18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado |
| Autore | García Bringas Pablo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (789 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Pérez GarcíaHilde
Martínez de PisónFrancisco Javier Martínez ÁlvarezFrancisco Troncoso LoraAlicia HerreroÁlvaro Calvo RolleJosé Luis QuintiánHéctor CorchadoEmilio |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-031-40725-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Anomaly and Fault Detection -- One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP -- Application of anomaly detection models to malware detection in the presence of concept drift -- Identification of anomalies in urban sound data with Autoencoders -- Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses -- Data Mining and Decision Support Systems -- Model performance prediction: a Meta-Learning approach for concept drift detection -- Reinforcing Assessment Processes Using Proactive Case-Based Reasoning Mechanisms -- Meta-Learning for hyperparameters tuning in CNNs for Chest Images -- A Fuzzy Logic Ensemble Approach to Concept Drift Detection -- Multi-Task Gradient Boosting -- Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification -- Exploring delay reduction on Edge Computing architectures from a Heuristic approach -- Probability Density Function for Clustering Validation -- Comprehensive analysis of different techniques for data augmentation and proposal of new variants of BOSME & GAN -- Multidimensional Models Supported by Document-Oriented Databases -- Financial Distress Prediction in an Imbalanced Data Stream Environment -- Improving the Quality of Quantum Services Generation Process: Controlling Errors and Noise -- Comparison of deep reinforcement learning path-following system based on road geometry and an adaptive cruise control for autonomous vehicles -- Deep Learning -- A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia -- Companion Classification Losses for Regression Problems -- Analysis of transformer model applications -- Real-time Workflow Scheduling in Cloud with Recursive Neural Network and List Scheduling -- Robust Losses in Deep Regression -- Structure Learning in Deep Multi-Task Models -- Validating by Deep Learning an Efficient Method for Genomic Sequence Analysis: Genomic Spectrograms -- Sentiment Analysis for Vietnamese – Based Hybrid Deep Learning Models -- Optimizing LIME explanations using REVEL Metrics -- Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis -- Varroa mite detection using deep learning techniques -- Evolutionary Computation and Optimization -- Enhancing Evolutionary Optimization Performance under Byzantine Fault Conditions -- A hybrid based genetic algorithm for solving the clustered generalized traveling salesman problem -- Feature Ranking for Feature Sorting and Feature Selection with Optimisation -- Efficient Simulation of Pollutant Dispersion using Machine Learning -- Hybrid Intelligent Parsimony Search in Small High-dimensional Datasets -- An integer linear programming model for team formation in the classroom with constraints -- Improved Evolutionary Approach for Tuning Topic Models with Additive Regularization -- Time of Arrival error characterization for precise indoor localization of Autonomous Ground Vehicles -- Feature Selection based on a Decision Tree Genetic Algorithm -- Exact and Heuristic Lexicographic Methods for the Fuzzy Traveling Salesman Problem -- A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering -- The Analysis of Hybrid Brain Storm Optimisation Approaches in Feature Selection -- HAIS Applications -- Supporting Emotion Recognition in Human-Robot Interactions: An Experimental Italian Textual Dataset -- Hybrid Intelligent Control for Maximum Power Point Tracking of a Floating Wind Turbine -- Statistical Dialog Tracking and Management for Task-oriented Conversational Systems -- A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand -- Using Large Language Models for Interpreting Autonomous Robots Behaviors -- Comparative analysis of intelligent techniques for categorization of the operational status of LiFePo4 batteries -- To Enhance Full-Text Biomedical Document Classification through Semantic Enrichment -- Predicting innovative cities using spatio-temporal activity patterns -- Daily accumulative photovoltaic energy prediction using hybrid intelligent model -- Comparison of geospatial trajectory clustering and feature trajectory clustering for public transportation trip data -- Image and Speech Signal Processing -- Adapting YOLOv8 as a vision-based animal detection system to facilitate herding -- Image classification understanding with Model Inspector tool -- Study on Synthetic Video Generation of Embryo Development -- Image reconstruction using Cellular Automata and Neural Networks -- Agents and Multiagents -- Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results -- The Problem of Concept Learning and Goals of Reasoning in Large Language Models -- Multi-Agent System for Multimodal Machine Learning Object Detection -- Biomedical Applications -- Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images -- Risk factors and survival after premature hospital readmission in frail subjects with delirium -- Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection -- Coherence of COVID-19 mortality of Spain versus western European countries -- A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma -- Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses -- Textural and shape features for lesion classification in mammogram analysis -- Intent Recognition using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach. |
| Record Nr. | UNINA-9910742491303321 |
|
García Bringas Pablo
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Hybrid Artificial Intelligent Systems [[electronic resource] ] : 18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligent Systems [[electronic resource] ] : 18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings / / edited by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado |
| Autore | García Bringas Pablo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (789 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
Pérez GarcíaHilde
Martínez de PisónFrancisco Javier Martínez ÁlvarezFrancisco Troncoso LoraAlicia HerreroÁlvaro Calvo RolleJosé Luis QuintiánHéctor CorchadoEmilio |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 3-031-40725-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Anomaly and Fault Detection -- One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP -- Application of anomaly detection models to malware detection in the presence of concept drift -- Identification of anomalies in urban sound data with Autoencoders -- Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses -- Data Mining and Decision Support Systems -- Model performance prediction: a Meta-Learning approach for concept drift detection -- Reinforcing Assessment Processes Using Proactive Case-Based Reasoning Mechanisms -- Meta-Learning for hyperparameters tuning in CNNs for Chest Images -- A Fuzzy Logic Ensemble Approach to Concept Drift Detection -- Multi-Task Gradient Boosting -- Exploratory Study of Data Sampling Methods for Imbalanced Legal Text Classification -- Exploring delay reduction on Edge Computing architectures from a Heuristic approach -- Probability Density Function for Clustering Validation -- Comprehensive analysis of different techniques for data augmentation and proposal of new variants of BOSME & GAN -- Multidimensional Models Supported by Document-Oriented Databases -- Financial Distress Prediction in an Imbalanced Data Stream Environment -- Improving the Quality of Quantum Services Generation Process: Controlling Errors and Noise -- Comparison of deep reinforcement learning path-following system based on road geometry and an adaptive cruise control for autonomous vehicles -- Deep Learning -- A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia -- Companion Classification Losses for Regression Problems -- Analysis of transformer model applications -- Real-time Workflow Scheduling in Cloud with Recursive Neural Network and List Scheduling -- Robust Losses in Deep Regression -- Structure Learning in Deep Multi-Task Models -- Validating by Deep Learning an Efficient Method for Genomic Sequence Analysis: Genomic Spectrograms -- Sentiment Analysis for Vietnamese – Based Hybrid Deep Learning Models -- Optimizing LIME explanations using REVEL Metrics -- Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis -- Varroa mite detection using deep learning techniques -- Evolutionary Computation and Optimization -- Enhancing Evolutionary Optimization Performance under Byzantine Fault Conditions -- A hybrid based genetic algorithm for solving the clustered generalized traveling salesman problem -- Feature Ranking for Feature Sorting and Feature Selection with Optimisation -- Efficient Simulation of Pollutant Dispersion using Machine Learning -- Hybrid Intelligent Parsimony Search in Small High-dimensional Datasets -- An integer linear programming model for team formation in the classroom with constraints -- Improved Evolutionary Approach for Tuning Topic Models with Additive Regularization -- Time of Arrival error characterization for precise indoor localization of Autonomous Ground Vehicles -- Feature Selection based on a Decision Tree Genetic Algorithm -- Exact and Heuristic Lexicographic Methods for the Fuzzy Traveling Salesman Problem -- A Novel Genetic Algorithm with Specialized Genetic Operators for Clustering -- The Analysis of Hybrid Brain Storm Optimisation Approaches in Feature Selection -- HAIS Applications -- Supporting Emotion Recognition in Human-Robot Interactions: An Experimental Italian Textual Dataset -- Hybrid Intelligent Control for Maximum Power Point Tracking of a Floating Wind Turbine -- Statistical Dialog Tracking and Management for Task-oriented Conversational Systems -- A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand -- Using Large Language Models for Interpreting Autonomous Robots Behaviors -- Comparative analysis of intelligent techniques for categorization of the operational status of LiFePo4 batteries -- To Enhance Full-Text Biomedical Document Classification through Semantic Enrichment -- Predicting innovative cities using spatio-temporal activity patterns -- Daily accumulative photovoltaic energy prediction using hybrid intelligent model -- Comparison of geospatial trajectory clustering and feature trajectory clustering for public transportation trip data -- Image and Speech Signal Processing -- Adapting YOLOv8 as a vision-based animal detection system to facilitate herding -- Image classification understanding with Model Inspector tool -- Study on Synthetic Video Generation of Embryo Development -- Image reconstruction using Cellular Automata and Neural Networks -- Agents and Multiagents -- Monte-Carlo Tree Search for Multi-Agent Pathfinding: Preliminary Results -- The Problem of Concept Learning and Goals of Reasoning in Large Language Models -- Multi-Agent System for Multimodal Machine Learning Object Detection -- Biomedical Applications -- Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images -- Risk factors and survival after premature hospital readmission in frail subjects with delirium -- Generalizing an Improved GrowCut Algorithm for Mammography Lesion Detection -- Coherence of COVID-19 mortality of Spain versus western European countries -- A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma -- Analysis of Frequency Bands in Electroencephalograms for Automatic Detection of Photoparoxysmal Responses -- Textural and shape features for lesion classification in mammogram analysis -- Intent Recognition using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach. |
| Record Nr. | UNISA-996546849803316 |
|
García Bringas Pablo
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Hybrid Artificial Intelligent Systems [[electronic resource] ] : 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings / / edited by Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José António Sáez, Emilio Corchado
| Hybrid Artificial Intelligent Systems [[electronic resource] ] : 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings / / edited by Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José António Sáez, Emilio Corchado |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIX, 755 p. 276 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer communication systems Special purpose computers Data mining Algorithms Optical data processing Artificial Intelligence Computer Communication Networks Special Purpose and Application-Based Systems Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity Image Processing and Computer Vision |
| ISBN | 3-319-92639-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Fusion of soft computing and hard computing -- Hybrid Intelligence Techniques -- Multiagent Systems -- Evolutionary Algorithms -- Neurocomputing -- Fuzzy Systems -- Rough Sets. . |
| Record Nr. | UNISA-996465797703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Hybrid Artificial Intelligent Systems : 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings / / edited by Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José António Sáez, Emilio Corchado
| Hybrid Artificial Intelligent Systems : 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings / / edited by Francisco Javier de Cos Juez, José Ramón Villar, Enrique A. de la Cal, Álvaro Herrero, Héctor Quintián, José António Sáez, Emilio Corchado |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIX, 755 p. 276 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer communication systems Special purpose computers Data mining Algorithms Optical data processing Artificial Intelligence Computer Communication Networks Special Purpose and Application-Based Systems Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity Image Processing and Computer Vision |
| ISBN | 3-319-92639-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Fusion of soft computing and hard computing -- Hybrid Intelligence Techniques -- Multiagent Systems -- Evolutionary Algorithms -- Neurocomputing -- Fuzzy Systems -- Rough Sets. . |
| Record Nr. | UNINA-9910349435903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hybrid Artificial Intelligent Systems [[electronic resource] ] : 12th International Conference, HAIS 2017, La Rioja, Spain, June 21-23, 2017, Proceedings / / edited by Francisco Javier Martínez de Pisón, Rubén Urraca, Héctor Quintián, Emilio Corchado
| Hybrid Artificial Intelligent Systems [[electronic resource] ] : 12th International Conference, HAIS 2017, La Rioja, Spain, June 21-23, 2017, Proceedings / / edited by Francisco Javier Martínez de Pisón, Rubén Urraca, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVIII, 725 p. 248 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Programming languages (Electronic computers) Computer programming Application software Artificial Intelligence Algorithm Analysis and Problem Complexity Programming Languages, Compilers, Interpreters Programming Techniques Information Systems Applications (incl. Internet) |
| ISBN | 3-319-59650-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Data Mining, Knowledge Discovery and Big Data -- Word Embedding Based Event Detection on Social Media -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Word Embedding -- 3.4 Clustering Algorithm -- 4 Experiments and Results -- 5 Conclusion -- References -- Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? -- 1 Introduction -- 2 Sentiment Analysis -- 2.1 The Sentiment Analysis Problem -- 2.2 Sentiment Analysis Methods (SAMs) -- 3 Methodology -- 3.1 TripAdvisor -- 3.2 Web Scraping -- 3.3 Experimental Setup -- 4 Experiment Results -- 4.1 The Data Sets -- 4.2 Analysis of Results -- 5 Conclusions and Future Work -- References -- Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization -- 1 Introduction -- 2 Proposed Classification System -- 2.1 General Overview -- 2.2 Feature Space Reduction with Multiple Correspondence Analysis -- 2.3 Balancing the Skewed Distributions -- 2.4 Weighted Classifier Combination -- 3 Feature Extraction -- 4 Experimental Study -- 4.1 Dataset -- 4.2 Set-Up -- 4.3 Results and Discussion -- 5 Conclusions and Future Works -- References -- An Ontology for Generalized Disease Incidence Detection on Twitter -- Abstract -- 1 Introduction -- 1.1 Related Work -- 2 Materials and Methods -- 2.1 An Ontology for Disease Incidence Detection on Twitter -- 2.2 Feature Extraction -- 3 The Twitter Disease Incidence Detection Pipeline -- 3.1 Corpus Generation -- 3.2 Model Training -- 3.3 Doc2Vec Tuning -- 4 Evaluation -- 4.1 Results and Discussion -- 5 Conclusion and Future Work -- References -- Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for Searching Parsimony Models by Combining Hyperparameter Optimization and Feature Selection -- 1 Introduction.
2 Materials and Methods -- 2.1 Extreme Gradient Boosting Machines -- 2.2 Bayesian Optimization -- 2.3 GA-PARSIMONY Methodology -- 2.4 Hybrid Method Based on Bayesian Optimization and GA-PARSIMONY -- 3 Experiments -- 3.1 Datasets and Validation Process -- 3.2 GA-PARSIMONY Settings -- 3.3 Bayesian Optimization Settings -- 3.4 Hybrid Method Settings -- 4 Results and Discussion -- 5 Conclusions -- References -- Concept Discovery in Graph Databases -- 1 Introduction -- 2 Background -- 2.1 Concept Discovery -- 2.2 Graph Databases -- 3 The Proposed Method -- 4 Experiments -- 4.1 Datasets and Experimental Setting -- 4.2 Experimental Results -- 5 Conclusion -- References -- Leveraging Distributed Representations of Elements in Triples for Predicate Linking -- 1 Introduction -- 2 Problem Definition -- 3 Related Work -- 4 Approach -- 4.1 Statistical Pattern-Based Candidate Generation -- 4.2 Similarity-Based Candidate Generation -- 4.3 Candidate Selection -- 5 Experiment -- 5.1 Dataset -- 5.2 Setting -- 5.3 Result -- 6 Conclusion -- References -- A Review of Distributed Data Models for Learning -- Abstract -- 1 Introduction -- 2 Taxonomies of Data Distribution Models -- 2.1 The Impact of Data Partitioning -- 2.2 Taxonomy Based on Data Partition -- 2.3 Taxonomy Based on Data Flow Processing -- 2.4 Taxonomy Based on the Data Cooperation Strategies -- 3 MapReduce: A Data Distribution Oriented Paradigm -- 4 New Trends in Distributed Data -- 4.1 Making the Most of In-memory Capability -- 4.2 Allowing Interprocess Communication -- 4.3 Dealing with the Drawback of Data Partitioning -- 4.4 Dealing with Data Pre-processing -- 5 Conclusions -- Acknowledgements -- References -- Bio-inspired Models and Evolutionary Computation -- Incorporating More Scaled Differences to Differential Evolution -- 1 Introduction -- 2 Methodology -- 2.1 Differential Evolution and Its Variants. 2.2 Matrix Notation for DE -- 2.3 New Variants for Differential Evolution -- 2.4 Benchmark Functions -- 3 Results and Discussion -- 4 Conclusions -- References -- Topological Evolution of Financial Network: A Genetic Algorithmic Approach -- 1 Introduction -- 2 Discrete Time Warping Genetic Algorithm (dTWGA) -- 2.1 Solution Representation -- 2.2 Mutation -- 2.3 Fitness -- 2.4 Selection -- 2.5 Iteration -- 3 Financial Network Construction -- 3.1 Minimum Spanning Tree -- 3.2 Maximum Degree Ratio -- 3.3 Spectrum -- 4 Experiment -- 5 Results and Discussion -- 6 Conclusion -- References -- Optimization of Joint Sales Potential Using Genetic Algorithm -- Abstract -- 1 Introduction -- 2 Algorithm Design -- 2.1 Initialization -- 2.2 Evaluation -- 2.3 Reproduction -- 2.4 Evolution -- 3 Testing -- 3.1 Sources of Sample Networks -- 3.2 Effects of Exploration: Guided Versus Random -- 3.3 Joint Sales Potential Optimization -- 4 Results -- 5 Discussion -- 5.1 Sparsely-Connected Networks -- 5.2 Guided or Random Exploration? -- 5.3 Number of Generations -- 5.4 Directed Networks -- 6 Conclusion -- Acknowledgement -- References -- Evolutionary Multi-objective Scheduling for Anti-Spam Filtering Throughput Optimization -- Abstract -- 1 Introduction -- 2 State of the Art -- 2.1 Throughput Optimization -- 2.2 Filter Accuracy Optimization -- 3 Problem Formulation and Proposal -- 4 Experimental Study -- 5 Results Discussion -- 6 Conclusions and Future Work -- Acknowledgements -- References -- A Hybrid Diploid Genetic Based Algorithm for Solving the Generalized Traveling Salesman Problem -- 1 Introduction -- 2 Definition of the GTSP -- 3 The Hybrid Diploid Genetic Algorithm -- 3.1 The Upper-Level (Global) Subproblem -- 3.2 The Lower-Level (Local) Subproblem -- 3.3 The Diploid Genetic Algorithm -- 4 Computational Results -- 5 Conclusions -- References. A Novel Hybrid Nature-Inspired Scheme for Solving a Financial Optimization Problem -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Portfolio Optimization Problem -- 4 Combination of Two NII Algorithms for Portfolio Optimization -- 4.1 Differences Between Firefly and Gravitational Search Algorithm -- 5 Experimental Study -- 6 Financial Implications -- 7 Conclusions -- References -- Hypersphere Universe Boundary Method Comparison on HCLPSO and PSO -- Abstract -- 1 Introduction -- 2 Particle Swarm Optimization -- 3 Heterogeneous Comprehensive Learning Particle Swarm Optimization -- 4 Hypersphere Universe Boundary Method -- 5 Experimental Setup -- 6 Results -- 7 Results Discussion -- 8 Conclusion -- Acknowledgements -- References -- PSO with Partial Population Restart Based on Complex Network Analysis -- Abstract -- 1 Introduction -- 2 Particle Swarm Optimization (PSO) -- 3 Proposed Method -- 4 Experiment Setup -- 5 Conclusion -- Acknowledgements -- References -- Learning Algorithms -- Kernel Density-Based Pattern Classification in Blind Fasteners Installation -- 1 Introduction -- 2 Blind Fasteners Installation -- 3 Kernel Density-Based Pattern Classification Approach -- 3.1 Kernel Density Estimation for Behavioral Patterns Identification -- 3.2 Behavioral Patterns Computation -- 3.3 Distance-Based Classification -- 4 Test Scenario -- 4.1 Description of the Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusions and Future Work -- References -- Training Set Fuzzification Towards Prediction Improvement -- Abstract -- 1 Introduction -- 1.1 Theoretical Background - Continuous Distributions -- 1.2 Fuzzification of Variables Using a Histogram -- 2 Sales Prediction Using Neural Networks -- 2.1 Training Set -- 2.2 Setting the Parameters of the Neural Network for Experimental Part -- 2.3 Experimental Results of a Sale Prediction. 3 Conclusion -- Acknowledgments -- References -- On the Impact of Imbalanced Data in Convolutional Neural Networks Performance -- 1 Introduction -- 2 The Imbalance Problem in Classification -- 3 Deep Learning -- 3.1 Convolutional Neural Network -- 4 Impact of Imbalanced Data on Convolutional Neural Networks -- 5 Experimentation -- 5.1 Experimental Framework -- 5.2 CNN Architecture -- 5.3 Results Analysis -- 6 Conclusions -- References -- Effectiveness of Basic and Advanced Sampling Strategies on the Classification of Imbalanced Data. A ... -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Basic and Advanced Resampling Strategies -- 3.1 Basic Resampling Strategies -- 3.2 Advanced Resampling Strategies -- 4 Performance Measures -- 5 Experimental Study -- 6 Experimental Results -- 6.1 Datasets -- 6.2 Applying Resampling Strategies and Machine Learning Algorithms -- 6.3 Statistical Comparison of Classifiers Over Multiple Datasets -- 6.4 Statistical Comparison of Resampling Methods Over Multiple Datasets -- 7 Conclusions -- References -- A Perceptron Classifier, Its Correctness Proof and a Probabilistic Interpretation -- 1 Introduction -- 2 The Perceptron -- 3 Kernel Learning -- 3.1 Positive Definite Kernels -- 3.2 The Optimal Separating Hyperplane -- 3.3 The Representer Theorem, See [18] -- 4 Correctness Proof of the Modified Pocket Algorithm -- 5 Probabilistic Interpretation of the Decision Procedure -- 6 Conclusion and Outlook -- References -- Parallel Implementation of a Simplified Semi-physical Wildland Fire Spread Model Using OpenMP -- 1 Introduction -- 2 The Model -- 3 Parallel Model Implementation -- 4 Experiments and Results -- 4.1 Real Case Study -- 4.2 Performance Analysis/Evaluation -- 5 Conclusions and Further Research -- References -- A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost -- 1 Introduction. 2 Class Noise. Preprocessing vs. Robust Methods. |
| Record Nr. | UNISA-996466273803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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