Artificial Intelligence Research and Development
Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence
1st Edition
Published on 15. November 2021
484 pages
978-1-64368-211-2 (ISBN)
Description
Artificial intelligence has become an indispensible part of our lives in recent years, affecting all aspects from business and leisure to transport and health care.
This book presents the proceedings of the 23rd edition of the International Conference of the Catalan Association for Artificial Intelligence (CCIA), an annual event that serves as a meeting point for researchers in Artificial Intelligence in the area of the Catalan speaking territories and from around the world. The 2021 edition was held online as a virtual conference from 20 - 22 October 2021 due to the COVID-19 pandemic. The book contains 42 long papers and 9 short papers, carefully reviewed and selected. The papers cover all aspects of artificial intelligence and are divided under six section headings: combinatorial problem solving and logics for artificial intelligence; sentiment analysis and tekst analysis; data science and decision support systems; machine learning; computer vision; and explainability and argumentation. Abstracts of the 2 invited talks delivered at the conference by Prof. Patty Kostkova and Prof. Joao Marques-Silva are also included.
Offering a state of the art overview of the subject from a regional perspective, the book will be of interest to all those working in the field of artificial intelligence.
This book presents the proceedings of the 23rd edition of the International Conference of the Catalan Association for Artificial Intelligence (CCIA), an annual event that serves as a meeting point for researchers in Artificial Intelligence in the area of the Catalan speaking territories and from around the world. The 2021 edition was held online as a virtual conference from 20 - 22 October 2021 due to the COVID-19 pandemic. The book contains 42 long papers and 9 short papers, carefully reviewed and selected. The papers cover all aspects of artificial intelligence and are divided under six section headings: combinatorial problem solving and logics for artificial intelligence; sentiment analysis and tekst analysis; data science and decision support systems; machine learning; computer vision; and explainability and argumentation. Abstracts of the 2 invited talks delivered at the conference by Prof. Patty Kostkova and Prof. Joao Marques-Silva are also included.
Offering a state of the art overview of the subject from a regional perspective, the book will be of interest to all those working in the field of artificial intelligence.
More details
Series
Language
English
Place of publication
London
Netherlands
Publishing group
IOS Press
Target group
Professional and scholarly
File size
21,82 MB
ISBN-13
978-1-64368-211-2 (9781643682112)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Teresa Alsinet | Cesar Fernandez | Aida Valls
Artificial Intelligence Research and Development
Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence
Book
11/2021
1st Edition
IOS Press,US
€173.81
Shipment within 10-20 days
Content
- Intro
- Title Page
- Preface
- Conference Organization
- Contents
- Invited Talks
- Digital Public Health Technologies and Social Media in Global Emergencies
- Automated Reasoning in Explainable AI
- Combinatorial Problem Solving and Logics for Artificial Intelligence
- On Probabilistic Logical Argumentation
- Application of CMSA to the Minimum Positive Influence Dominating Set Problem
- From Non-Clausal to Clausal MinSAT
- Perceptual Maps to Aggregate Information from Decision Makers
- On the Temperature of SAT Formulas
- Choosing the Root of the Tree Decomposition When Solving WCSPs: Preliminary Results
- Exploring Lifted Planning Encodings in Essence Prime
- A Cognitively-Inspired Model for Making Sense of Hasse Diagrams
- Some Advances on the Solution of the Generalized Law of Importation for Fuzzy Implication Functions
- Enabling Game-Theoretical Analysis of Social Rules
- Sentiment Analysis and Text Analysis
- Countering Negative Effects of Hate Speech in a Multi-Agent Society
- Discovering Dominant Users' Opinions in Reddit
- Argumentation Reasoning with Graph Neural Networks for Reddit Conversation Analysis
- Learning Cognitive-Affective Digital Twins from Social Networks
- A Common Formal Framework for Factorial and Probabilistic Topic Modelling Techniques
- Data Science and Decision Support Systems
- The Emotional Impact of Hotel Room Colour in Spanish and Equatorian Tourists
- A Customer Churn Detection Model for the Pay-TV Sector
- On the Convergence of Financial Distress Propagation on Generic Networks
- Supporting Enrollment in Higher Education Through a Visual Recommendation System
- Data-Driven Analysis of Friction Stir Welding for Aerospace Applications
- We Are Not the Same Either Playing: A Proposal for Adaptive Gamification
- Machine Learning
- Combining Simulations and Machine Learning for Efficient Prediction of Process Parameters Evolution in Injection Moulding
- Iterative Update of a Random Forest Classifier for Diabetic Retinopathy
- Anomaly Detection for Diagnosing Failures in a Centrifugal Compressor Train
- Pulse Identification Using SVM
- Validation on Real Data of an Extended Embryo-Uterine Probabilistic Graphical Model for Embryo Selection
- Towards Expert-Inspired Automatic Criterion to Cut a Dendrogram for Real-Industrial Applications
- Limits of Conventional Machine Learning Methods to Predict Pregnancy and Multiple Pregnancy After Embryo Transfer
- Collection, Processing and Analysis of Heterogeneous Data Coming from Spanish Hospitals in the Context of COVID-19
- Cutting Tool Wearing Identification Through Predictive Maintenance and Its Impact on Surface Quality
- Mental Workload Detection Based on EEG Analysis
- Alternation Measures for the Evaluation of Selfish Agents' Turn-Taking
- Computer Vision
- On Determining Suitable Embedded Devices for Deep Learning Models
- Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective
- Segmenting the Optic Disc Using a Deep Learning Ensemble Model Based on OWA Operators
- Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques
- Absolute Distance Prediction Based on Deep Learning Object Detection and Monocular Depth Estimation Models
- Benchmarking Deep Learning Models on Point Cloud Segmentation
- Designing Chest X-ray Datasets for Improving Lung Nodules Detection Through Convolutional Neural Networks
- WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation
- Affective State-Based Framework for e-Learning Systems
- No-Reference Digital Image Quality Assessment Based on Structure Similarity
- Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches
- Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet
- Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network
- Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network
- Explainability and Argumentation
- Deep Causal Graphs for Causal Inference, Black-Box Explainability and Fairness
- Improving On-Line Debates by Aggregating Citizen Support
- Contextualized LORE for Fuzzy Attributes
- On the Rationality of Explanations in Classification Algorithms
- Applying and Verifying an Explainability Method Based on Policy Graphs in the Context of Reinforcement Learning
- Subject Index
- Author Index
