From Bioinspired Systems and Biomedical Applications to Machine Learning

1. Front Matter

   Pages i-xxiii

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2. Models

   1. Front Matter

      Pages 1-1

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   2. Towards a General Method for Logical Rule Extraction from Time Series

      • Guido Sciavicco, Ionel Eduard Stan, Alessandro Vaccari

      Pages 3-12

   3. A Principled Two-Step Method for Example-Dependent Cost Binary Classification

      • Javier Mediavilla-Relaño, Aitor Gutiérrez-López, Marcelino Lázaro, Aníbal R. Figueiras-Vidal

      Pages 13-22

   4. Symbiotic Autonomous Systems with Consciousness Using Digital Twins

      • Felipe Fernández, Ángel Sánchez, José F. Vélez, A. Belén Moreno

      Pages 23-32

   5. Deep Support Vector Classification and Regression

      • David Díaz-Vico, Jesús Prada, Adil Omari, José R. Dorronsoro

      Pages 33-43

   6. An Experimental Study on the Relationships Among Neural Codes and the Computational Properties of Neural Networks

      • Sergio Miguel-Tomé

      Pages 44-57

   7. Uninformed Methods to Build Optimal Choice-Based Ensembles

      • Ameed Almomani, Eduardo Sánchez

      Pages 58-65

3. Robotics

   1. Front Matter

      Pages 67-67

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   2. Design and Implementation of a Robotics Learning Environment to Teach Physics in Secondary Schools

      • Samantha Orlando, Félix de la Paz López, Elena Gaudioso

      Pages 69-76

   3. Multi-robot User Interface for Cooperative Transportation Tasks

      • Majd Kassawat, Enric Cervera, Angel P. del Pobil

      Pages 77-81

   4. Precise Positioning and Heading for Autonomous Scouting Robots in a Harsh Environment

      • David Obregón, Raúl Arnau, María Campo-Cossio, Juan G. Arroyo-Parras, Michael Pattinson, Smita Tiwari et al.

      Pages 82-96

4. Applications

   1. Front Matter

      Pages 97-97

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   2. Gesture Control Wearables for Human-Machine Interaction in Industry 4.0

      • Luis Roda-Sanchez, Teresa Olivares, Celia Garrido-Hidalgo, Antonio Fernández-Caballero

      Pages 99-108

   3. Computing the Missing Lexicon in Students Using Bayesian Networks

      • Pedro Salcedo L., M. Angélica Pinninghoff J., Ricardo Contreras A.

      Pages 109-116

   4. Control of Transitory Take-Off Regime in the Transportation of a Pendulum by a Quadrotor

      • Julián Estévez, Jose Manuel Loṕez-Guede

      Pages 117-126

   5. Improving Scheduling Performance of a Real-Time System by Incorporation of an Artificial Intelligence Planner

      • Jesus Fernandez-Conde, Pedro Cuenca-Jimenez, Rafael Toledo-Moreo

      Pages 127-136

   6. Convolutional Neural Networks for Olive Oil Classification

      • Belén Vega-Márquez, Andrea Carminati, Natividad Jurado-Campos, Andrés Martín-Gómez, Lourdes Arce-Jiménez, Cristina Rubio-Escudero et al.

      Pages 137-145

   7. An Indoor Illuminance Prediction Model Based on Neural Networks for Visual Comfort and Energy Efficiency Optimization Purposes

      • M. Martell, M. Castilla, F. Rodríguez, M. Berenguel

      Pages 146-156

   8. Using Probabilistic Context Awareness in a Deliberative Planner System

      • Jonatan Gines Clavero, Francisco J. Rodriguez, Francisco Martín Rico, Angel Manuel Guerrero, Vicente Matellán

      Pages 157-166

The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on understanding the brain function and emotions, addressing topics such as new tools for analyzing neural data, or detection emotional states, or interfacing with physical systems. The second volume deals with bioinspired systems and biomedical applications to machine learning and contains papers related bioinspired programming strategies and all the contributions oriented to the computational solutions  to engineering problems in different applications domains, as biomedical systems, or big data solutions.

• artificial intelligence
• artificial neural network
• cognitive systems
• computer networks
• Human-Computer Interaction (HCI)
• image processing
• image segmentation
• man machine systems
• mobile computing
• mobile devices
• neural networks
• object recognition
• probability
• robotics
• robots
• semantics
• sensors
• Support Vector Machines (SVM)
• user interfaces
• wireless sensor networks

• Universidad Politécnica de Cartagena, Cartagena, Spain

  José Manuel Ferrández Vicente, Javier Toledo Moreo

• Universidad Nacional de Educación a Distancia, Madrid, Spain

  José Ramón Álvarez-Sánchez, Félix de la Paz López

• The Ohio State University, Columbus, USA

  Hojjat Adeli

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