Artificial Intelligence Research and Development
Proceedings of the 22nd International Conference of the Catalan Association for Artificial Intelligence
1st Edition
Published on 15. October 2019
444 pages
978-1-64368-015-6 (ISBN)
Description
Artificial intelligence has now become an indispensible tool at the centre of problem-solving in a huge range of digital technologies, and remains one of the most vibrant topics for discussion and research.
This book presents a compilation of the articles presented at the 22nd (2019) edition of the International Conference of the Catalan Association for Artificial Intelligence (CCIA), held in Mallorca, Spain, from 23 - 25 October 2019. This annual conference is an international event that serves as a meeting point for researchers into artificial intelligence based in the area of the Catalan speaking territories and for researchers from around the world. The book is divided into 8 sections. The first contains summaries of the 3 invited talks presented at the conference: 'New methods for fusing information and the computational brain', by Javier Fernandez; 'From correlation to imagination: Deep generative models for artificial intelligence' by Joan Serra; and 'Explainable AI' by Anna Monreale. The remaining 7 sections contain 47 papers covering ethics and E-governance; machine learning; constraints and SAT, optimization and fuzzy; data science, recommender systems and decision support systems; agent-based and multi-agent systems; computer vision; and sentiment analysis and text analysis.
The book provides an overview of the latest developments in the field, and as such will be of interest to all those whose work involves the study and application of artificial intelligence.
This book presents a compilation of the articles presented at the 22nd (2019) edition of the International Conference of the Catalan Association for Artificial Intelligence (CCIA), held in Mallorca, Spain, from 23 - 25 October 2019. This annual conference is an international event that serves as a meeting point for researchers into artificial intelligence based in the area of the Catalan speaking territories and for researchers from around the world. The book is divided into 8 sections. The first contains summaries of the 3 invited talks presented at the conference: 'New methods for fusing information and the computational brain', by Javier Fernandez; 'From correlation to imagination: Deep generative models for artificial intelligence' by Joan Serra; and 'Explainable AI' by Anna Monreale. The remaining 7 sections contain 47 papers covering ethics and E-governance; machine learning; constraints and SAT, optimization and fuzzy; data science, recommender systems and decision support systems; agent-based and multi-agent systems; computer vision; and sentiment analysis and text analysis.
The book provides an overview of the latest developments in the field, and as such will be of interest to all those whose work involves the study and application of artificial intelligence.
More details
Series
Language
English
Place of publication
London
Netherlands
Publishing group
IOS Press
Target group
Professional and scholarly
File size
13,53 MB
ISBN-13
978-1-64368-015-6 (9781643680156)
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Schweitzer Classification
Other editions
Additional editions
Vicenc Torra | Isabel Aguilo | Manuel Gonzalez-Hidalgo
Artificial Intelligence Research and Development
Proceedings of the 22nd International Conference of the Catalan Association for Artificial Intelligence
Book
10/2019
1st Edition
IOS Press,US
€155.99
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Content
- Intro
- Title Page
- Preface
- Conference Organization
- Contents
- Invited Talks
- New Methods for Fusing Information and the Computational Brain
- From Correlation to Imagination: Deep Generative Models for Artificial Intelligence
- Explainable AI
- Ethics and E-Governance
- Citizen Support Aggregation Methods for Participatory Platforms
- From Games to Moral Agents: Towards a Model for Moral Actions
- The Good, the Bad and the Robot: Projecting Attitudes into A.I.
- Machine Learning
- Random Forest as a Tumour Genetic Marker Extractor
- An Android Malware Detection Framework Using Graph Embeddings and Convolutional Neural Networks
- Convergent Stochastic Almost Natural Gradient Descent
- Feature Discriminativity Estimation in CNNs for Transfer Learning
- Automatic Interval Selection on LA-ICPMS Isotopic Profiles Using an Extreme Learning Machine (ELM) Network
- Speeding up Reinforcement Learning by Combining Attention and Agency Features
- Variational Importance Sampling: Initial Findings
- Convolutional Neural Network Training with Dynamic Epoch Ordering
- A Comparison of Autonomous Vehicle Navigation Simulators Under Regulatory and Reinforcement Learning Constraints
- From Batch to Online Learning Using Copies
- On the Use of Interpretable CNN for Personality Trait Recognition from Audio
- Food Places Classification in Egocentric Images Using Siamese Neural Networks
- Cloud Type Distinction Based on CNN: An Aid for Short-Term Weather Forecast
- Application of CBR for Intelligent Process Control of a WWTP
- Design of an AI Platform to Support Home-Based Self-Training Music Interventions for Chronic Stroke Patients
- Fish Size Estimation from Instance Segmentation Results Obtained with a Deep Convolutional Network
- Constraints and SAT, Optimization and Fuzzy
- A Study on Implied Constraints in a MaxSAT Approach to B2B Problems
- Optimising Participatory Budget Allocation: The Decidim Use Case
- Revisiting a Functional Inequality on Fuzzy Implication Functions Related to the Inclusion of Fuzzy Sets
- Phase Transition in Realistic Random SAT Models
- A Fuzzy Decision-Aiding Approach to Implement Sustainable Marine Itineraries
- Surface Reparametrization Based on Arithmetic Means and Fuzzy Techniques
- Data Science, Recommender Systems and Decision Support Systems
- Distance-Aware Event Recommendation in Event-Based Social Networks
- Effect of the Data Tensorization on the Recovery of Bursts of Missing Values. An Application in Water Networks
- Measuring Rating Exigency: Identifying Relevant Consumer Reviews
- Diet4You: A Personal Intelligent Recommender for Diets from a Holistic Perspective
- User Profile Analysis in Reddit Debates
- History and Opinion Collaborative Recommender: An Approach for Social Recommendations
- Preference Modeling Tools for the Decision Support Method ELECTRE-III-H
- Automated System for Breast Cancer Detection from Electronic Health Records
- New Superpixels for Chronic Ulcers Segmentation
- Towards a Healthcare Digital Twin
- Agent-Based and Multi-Agent Systems
- Micro-Foundations of Macroeconomic Dynamics: The Agent-Based BAM Model
- Towards a Goal-Oriented Agent-Based Simulation Framework for High-Performance Computing
- Individual Specialization in Multi-Task Environments with Multiagent Reinforcement Learners
- Computer Vision
- Extracting Feeling and Life-Style Semantics from Hotel Images Using Colour Harmony
- MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network
- Mass Detection in Mammograms Using a Robust Deep Learning Model
- Do Color Palettes Influence Image Aesthetics?
- Tissue Segmentation for Automatic Chronic Wound Assessment
- Sentiment Analysis and Text Analysis
- UniSent: Universal Sentiment Analysis System for Low-Resource Languages
- Spanish and Catalan Polarity Detection in Student Satisfaction Surveys
- Analyzing Distances in Word Embeddings and Their Relation with Seme Analysis
- Metadata Generation for Multi-Text Classification in Structured Data
- Subject Index
- Author Index
