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International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 [electronic resource] : San Sebastián, Spain, October 19th-21st, 2016 Proceedings / edited by Manuel Graña, José Manuel López-Guede, Oier Etxaniz, Álvaro Herrero, Héctor Quintián, Emilio Corchado
International Joint Conference SOCO’16-CISIS’16-ICEUTE’16 [electronic resource] : San Sebastián, Spain, October 19th-21st, 2016 Proceedings / edited by Manuel Graña, José Manuel López-Guede, Oier Etxaniz, Álvaro Herrero, Héctor Quintián, Emilio Corchado
Estensione 1 online resource (XXIV, 805 p. 298 illus.) online resource.
Disciplina 006.3
Accesso persona Graña, Manuel
López-Guede, José Manuel
Etxaniz, Oier
Herrero, Alvaro
Quintián, Héctor
Corchado, Emilio
Accesso ente SpringerLink (Online service)
Genere/Forma Electronic books
ISBN 9783319473642
9783319473635
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. DUKE-007888374
Materiale a stampa
Lo trovi qui: Duke University
International Joint Conference SOCO'18-CISIS'18-ICEUTE'18 : San Sebastián, Spain, June 6-8, 2018 Proceedings
International Joint Conference SOCO'18-CISIS'18-ICEUTE'18 : San Sebastián, Spain, June 6-8, 2018 Proceedings
Creatore [Graña, Manuel]
Estensione 1 online resource (620 pages).
Accesso persona López-Guede, José Manuel
Etxaniz, Oier
Herrero, Álvaro
Sáez, José Antonio
Quintián, Héctor
Corchado, Emilio
Genere/Forma Electronic books
ISBN 9783319941202
3319941208
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro; Preface; SOCO 2018; Organization; General Chairs; International Advisory Committee; Program Committee Chairs; Program Committee; Special Sessions; Optimization, Modeling and Control by Soft Computing Techniques; Soft Computing Applications in the Field of Industrial and Environmental Enterprises; SOCO 2018 Organizing Committee; CISIS 2018; Organization; CISIS 2018 Organizing Committee; ICEUTE 2018; Organization; ICEUTE 2018 Organizing Committee; Logos; Contents; Agents and Multi-agents Systems; An Investment Recommender Multi-agent System in Financial Technology; Abstract.
1 Introduction2 Financial Technology; 2.1 Virtual Organization of Agents; 3 Investment Recommender System; 3.1 Hybrid A.I. Algorithm for Investment Recommendation System; 4 Conclusions and Future Work; Acknowledgments; References; Using Genetic Algorithms to Optimize the Location of Electric Vehicle Charging Stations; 1 Introduction; 2 Design of the Application; 2.1 Data Collecting and Processing; 2.2 Application's Data Flow; 2.3 The Emplacement Optimizer Agent; 3 Example: City of Valencia; 4 Conclusions; References; Case-Based Reasoning and Agent Based Job Offer Recommender System.
1 Introduction2 Hybrid Recommender System Proposal; 2.1 Case-Based Recommender System; 2.2 Argumentation Framework; 3 Case Study; 4 Results and Conclusions; References; Soft Computing Applications; Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder; 1 Introduction; 2 Methods; 2.1 Preprocessing; 2.2 Database; 2.3 Deep Convolutional Autoencoders; 2.4 Convolutional Neural Networks; 2.5 Segmentation Using Convolutional Autoencoders; 2.6 Data Augmentation; 3 Results; 4 Conclusions and Future Work; References.
Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study1 Introduction; 2 Methodology; 2.1 PPMI Dataset; 2.2 Principal Component Analysis; 2.3 Convolutional Autoencoder; 2.4 Evaluation; 3 Results and Discussion; 4 Conclusions and Future Work; References; Steel Tube Cross Section Geometry Measurement by 3D Scanning; 1 Introduction; 2 Methodology; 2.1 Acquisition; 2.2 Part Location and Slicing; 2.3 Section Measurements; 3 Results; 4 Conclusions; References; How Blockchain Could Improve Fraud Detection in Power Distribution Grid; 1 Introduction.
2 Related Work3 Methodology; 3.1 Cluster Algorithm and Simulations Test; 4 Discussion; References; Clustering and Classification; Enhancing Confusion Entropy as Measure for Evaluating Classifiers; 1 Introduction; 2 Preliminaries and Notations; 3 The Modified Confusion Entropy CEN""0365CEN; 3.1 Definition; 3.2 Some Basic Properties; 4 Comparing CEN""0365CEN with CEN and Other Measures; 4.1 The General Binary Case; 4.2 The ZA family; 4.3 The ``Dice Rolling Case''; 4.4 Empirical Experimentation; 5 Conclusion; References.
Record Nr. NYU-005605861
[Graña, Manuel]  
Materiale a stampa
Lo trovi qui: New York University