Artificial Intelligence Research and Development : Proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence.

Format:

Book

Author/Creator:

Villaret, Mateu.

Contributor:

Alsinet, Teresa.

Fernández, C.

Series:

Frontiers in Artificial Intelligence and Applications

Frontiers in Artificial Intelligence and Applications ; v.339

Language:

English

Subjects (All):

Artificial intelligence.

Physical Description:

1 online resource (486 pages)

Edition:

1st ed.

Other Title:

Artificial Intelligence Research and Development

Place of Publication:

: IOS Press, Incorporated, 2021.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-64368-211-3

OCLC:

1280530144