Recent Advances in Artificial Intelligence Research and Development

Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Terres de l′Ebre, Spain, October 25-27, 2017

I. Aguiló, R. Alquézar, C. Angulo, René Alquézar, Cecilio Angulo, Alberto Ortiz, Joan Torrens

• Publisher: SAGE Publications Ltd
• Year: 2017
• Print ISBN: 9781614998051
• eBook ISBN: 9781614998068
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

Artificial intelligence in all its forms is increasingly interwoven into all our lives, and remains one of the most lively areas of discussion and interest in technology today. This book presents the proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence (CCIA'2017): 'Recent Advances in Artificial Intelligence Research and Development', held in Deltebre, Terres de l?Ebre, Spain, in October 2017. Despite its title, this annual conference is not only for researchers from the Catalan Countries, but is an international event which attracts participants from countries all around the world. In total, 41 original contributions were submitted to CCIA'2017. Of these, 21 were accepted as long papers for oral presentation and 13 were accepted as short papers to be presented as posters. These 34 submissions appear in this book organized around a number of different topics including: agents and multi-agent systems; artificial vision and image processing; machine learning; artificial neural networks; cognitive modeling; fuzzy logic and reasoning; robotics; and AI applications. The book also includes abstracts of the 3 presentations by invited speakers. The book offers a representative sample of the current state of the art in the artificial intelligence community, and will be of interest to all those working with AI worldwide.

Table of contents

• Title Page
• Preface
• Conference Organization
• Contents
• Pre-Aggregations, Ordered Directionally Monotone Functions, and Their Application to Image Processing
• Robots for Care: A Social Scientist's View
• Marketing Intelligence: How to Optimize the Marketing Strategy Through Big Data
• Integration of Different Fuzzy Rule-Induction Methods to Improve the Classification of Patients with Diabetic Retinopathy
• Improving the Performance of Diabetic Retinopathy Computer-Aided Diagnosis Systems Using an Ensemble of Texture Analysis Methods
• Using Community Detection Techniques to Discover Non-Explicit Relationships in Neurorehabilitation Treatments
• Author-Centered Argumentation Analysis for Twitter Discussions
• On Dynamical Systems for Sensorimotor Contingencies. A First Approach from Control Engineering
• Iterative AWC for Distributed SAT
• Recurrent Neural Conditional Random Fields for Target Identification of Tweets
• Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network
• On a Graded Modal Logic Approach to Reason with Fuzzy Preferences
• Classifier Selection with Permutation Tests
• Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms
• Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-Termini
• Geo-Temporal Recurrent Model for Location Prediction
• Comparing Qualitative Descriptors with Different Granularities and Reference Systems
• Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity
• FoodPlaces: Learning Deep Features for Food Related Scene Understanding
• Generating Complete Menus from Nutritional Prescriptions by Using Advanced CBR and Real Food Databases
• A Saliency-Boosted Corrosion Detector for the Visual Inspection of Vessels
• Solving MaxSAT with Natural Deduction
• Multivariate Regression with Incremental Learning of Gaussian Mixture Models
• MFCC vs. MPEG-7 Frame Description for Anuran Sound Classification
• Persuadee Modelling in Computational Argumentation in Marketing
• Convolutional Neural Networks for Classification of Malware Assembly Code
• Prediction of Glucose Level Conditions from Sequential Data
• Planning Clearing Actions in Cluttered Scenes by Phasing in Geometrical Constraints
• Using Contextual Information in Music Playlist Recommendations
• Target Detection and Tracking for Grasping Sea Floor Objects During Underwater Intervention Operations
• Social Sensorimotor Contingencies: Towards Theory of Mind in Synthetic Agents
• Logo Recognition by Consensus for Enabling Blockchain Implementations
• METO: A Motivated and Emotional Task-Oriented 3D Agent
• A Genetic Algorithm for Surgery Scheduling Optimization in a Mexican Public Hospital
• Using KMoS-RE(c) in ad hoc Collaborative Network. Flutec: Improvement of the HVAC Project Process Through an Integral AI-Solution
• iND: A Significant Improvement of the Nearness Diagram Method for Reactive Mobile Robot Navigation
• A Transformational Creativity Tool to Support Musical Composition
• Subject Index
• Author Index