
Artificial Intelligence Research and Development
Description
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This book presents contributions from CCIA 2018, the 21st International Conference of the Catalan Association for Artificial Intelligence which took place in Alt Emporda, Catalonia, Spain, on 8-10th October 2018. The book aims to provide a picture of what is being achieved and what is under development in AI today. As such, its contents represent the diversity of approaches and applications currently being researched, but it also presents invited contributions which deal with some of the challenges that will have to be faced in the decade to come. The contributions included in this book are organized under the following headings: logic, satisfiability and fuzzy sets; classifiers, networks and machine learning; data science, recommender systems and case-based reasoning; natural language and sound processing; cognitive systems and agents; and computer vision and robotics. The book also covers a number of current AI challenges and new trends like big data, spatial problem solving, ethics and AI, and how blockchain impacts AI.
Providing an up-to-the-minute overview of current AI technology and research, this book will be of value to all those with an interest in the subject.
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Content
- Intro
- Title Page
- Preface
- CCIA'18 Conference Organization
- Contents
- Invited Talks
- Challenges of {BIG, Small, Right} Data
- Mild Abstraction in Spatial Problem Solving
- Blockchain and Artificial Intelligence: Challenges and Opportunities
- What Needs to Be Done to Ensure the Ethical Use of AI?
- Logic, Satisfiability, Fuzzy Sets
- Clause Branching in MaxSAT and MinSAT
- DECIMAXSUM: Using Decimation to Improve Max-Sum on Cyclic DCOPs
- Style Painting Classifier Based on Horn Clauses and Explanations (SHE)
- A Lattice Structure for the Set of Interval-Valued Fuzzy-Qualitative Labels
- Classifiers, Networks and Machine Learning
- Towards Detecting Structures in Computational Astrophysics Plasma Simulations: Using Machine Learning for Shock Front Classification
- The Effect of Space-Time Representation Learning in Predicting People's Next Location
- Complex Network Multiresolution for Optimal Sensor Placement in Big Urban Infrastructures
- Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting
- Sorting Hams Using Bagged Decision Trees in a Commercial Pig Slaughterhouse
- Quaternion Phase CNN
- A Fuzzy Learning Method to Segment Visitors of a Tourist Attraction
- Measuring Distances Between Medical Entities. Step 1: DrugBank
- Unsupervised Systems-Level Learning Mechanism Based on Bayesian-Inference
- Towards a Universal Neural Network Encoder for Time Series
- Determining Classic Versus Modern Style in Fashion
- Data Science, Recommender Systems and Case-Based Reasoning
- Big Data Analytics for Obesity Prediction
- A Method to Integrate Semantic Criteria into a Recommender System Based on ELECTRE Outranking Relations
- A Study on Contextual Influences on Automatic Playlist Continuation
- Web Pattern Navigation Profiling for Online Marketing Campaigns Design Support Under a Data Science Approach
- eXiT*CBR: A Tool Supporting RRI
- Feature-Tree Labeling for Case Base Maintenance
- Including Hard Restrictions into Diet4You Menu Planner
- On the Analysis of Utility and Risk for Masked Data in Big Data: A Small Data Analysis
- Natural Language and Sound Processing
- Do Positive Twitter Messages Have Impact on Stock Liquidity?
- An Argumentation Approach for Agreement Analysis in Reddit Debates
- Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction
- N-Channel Convolutional Neural Networks for Irony Detection in Twitter
- A New Algorithm for Speech Enhancement Based on Multivariate Empirical Mode Decomposition
- Classifying and Generalizing Successful Parameter Combinations for Sound Design
- A Visual Distance for WordNet
- Enhancing Text Spotting with a Language Model and Visual Context Information
- Cognitive Systems and Agents
- What Is the Physics of Intelligence?
- Using Wearable Sensors to Detect Workload on Driving Simulated Scenarios
- Limits of Multi-Agent Predictive Models in the Formation of Social Conventions
- Cognitive Architecture: The Key to AI-Based Digital Transformation in Organizations
- Loss Aversion Fosters Coordination in Independent Reinforcement Learners
- Sentient Embodied Conversational Agents: Architecture and Evaluation
- Computer Vision and Robotics
- Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images
- An Approach to Gait Analysis from Human-Rollator Interaction: The i-Walker
- Hybr-iT Project: Initial Steps Towards Contextual Robotic Manipulation for Human-Robot Teams in Industrial Environments
- Considering the Anchoring Problem in Robotic Intelligent Bin Picking
- Vehicle Pose Estimation Using G-Net: Multi-Class Localization and Depth Estimation
- CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network
- Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network
- Foreground Detection in a Multi-Target Fish Tracking from Video-Recordings Using U-Net Based Architecture
- On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks
- Subject Index
- Author Index
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