Artificial Intelligence Research and Development
Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence
1st Edition
Published on 15. November 2023
404 pages
978-1-64368-449-9 (ISBN)
Description
Artificial intelligence is no longer solely the preserve of computer scientists and researchers; it is now a part of all our lives, and hardly a day goes by without discussion and debate about the implications of its many applications in the mainstream media.
This book presents the proceedings of CCIA 2023, the 25th International Conference of the Catalan Association for Artificial Intelligence, held from 25 - 27 October 2023 in Barcelona, Spain. CCIA serves as an annual forum welcoming participants from around the globe. The theme of the 2023 conference was Supportive AI, the main goals of which are to strengthen collaboration between research and industry by sharing the latest advances in artificial intelligence, and opening discussion about how AI can better support the current needs of industry. A total of 54 submissions were received for the conference, of which the 26 full papers, 18 short papers and 6 abstracts included here were selected after peer review. The papers cover a wide range of topics in Artificial Intelligence, including machine learning, deep learning, social media evaluation, consensus-building, data science, recommender systems, and decision support systems, together with crucial applications of AI in fields such as health, education, disaster response, and the ethical impact of AI on society. The book also includes abstracts of the keynotes delivered by Professor Aida Kamisalic and Dr. Lluis Formiga.
Providing a useful overview of some of the latest developments in artificial intelligence, the book will be of interest to all those working in the field.
This book presents the proceedings of CCIA 2023, the 25th International Conference of the Catalan Association for Artificial Intelligence, held from 25 - 27 October 2023 in Barcelona, Spain. CCIA serves as an annual forum welcoming participants from around the globe. The theme of the 2023 conference was Supportive AI, the main goals of which are to strengthen collaboration between research and industry by sharing the latest advances in artificial intelligence, and opening discussion about how AI can better support the current needs of industry. A total of 54 submissions were received for the conference, of which the 26 full papers, 18 short papers and 6 abstracts included here were selected after peer review. The papers cover a wide range of topics in Artificial Intelligence, including machine learning, deep learning, social media evaluation, consensus-building, data science, recommender systems, and decision support systems, together with crucial applications of AI in fields such as health, education, disaster response, and the ethical impact of AI on society. The book also includes abstracts of the keynotes delivered by Professor Aida Kamisalic and Dr. Lluis Formiga.
Providing a useful overview of some of the latest developments in artificial intelligence, the book will be of interest to all those working in the field.
More details
Series
Language
English
Place of publication
London
Netherlands
Publishing group
IOS Press
Target group
Professional and scholarly
File size
21,61 MB
ISBN-13
978-1-64368-449-9 (9781643684499)
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
Ismael Sanz | Raquel Ros | Jordi Nin
Artificial Intelligence Research and Development
Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence
Book
11/2023
1st Edition
IOS Press,US
€193.13
Shipment within 10-20 days
Content
- Intro
- Title Page
- Preface
- About the Conference
- Contents
- Part 1. Invited Talks
- Unlocking the Power of LLMs: Navigating Challenges for Industry in the AI Renaissance
- Formalization of Drug Dose Titration Procedures
- Part 2. Machine Learning: Theory and Applications
- Inter-Satellite Link Prediction with Supervised Learning Based on Kepler and SGP4 Orbits
- Hydranet: A Neural Network for the Estimation of Multi-Valued Treatment Effects
- Applying Generative Models and Transfer Learning to Physiological Data Classification
- Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation
- Internal Representation and Shepard's Law in an Artificial Haptic System
- Expert Finding for Citizen Science
- Clustering of Qualitative Time Series for 3D Printing Quality Management
- Cognitive Similarity Through Bibliometric Analysis
- Full-Range Yaw Prediction: A Multi-View Approach for 3D Head Model Pose Estimation Using Convolutional Neural Networks
- A Deep Learning-Based Pipeline for Computing Brain Biomarkers from MRI
- Identifying Patterns Between Acoustic Environment and Visual Landscape Through Semantic Segmentation Based on Deep Learning
- OPNet: A One-Shot Image Similarity Algorithm for Production Systems
- Analyzing Car Configurator Impact Through Genetic Algorithm from a Regional Perspective
- Navigating Black Swan Events in Algorithmic Trading: A Reinforcement Learning Perspective
- Machine Learning in Particle Physics Experiments: The Case of LHCb
- Petri-Nets-Based Controllers Generation Using Genetic Programming
- Addressing Scale and Density Challenges in LiDAR Point Classification
- A Bayesian Network Framework to Study Class Noise: Exploring the Filtering of Completely Random Noise
- EduSign: Real-Time Application for Spanish Sign Language Recognition
- Automated Cleanliness Scoring and Digestive Content Segmentation for Capsule Endoscopy
- Development of an Automated CBCT Nerve and Teeth Segmentation Tool Based on Deep Learning
- Zero-Shot Prediction for Emotion Recognition Using Deep Spectrum Features
- Part 3. AI for Health: Theory and Applications
- Bayesian Optimization with Additive Kernels for the Calibration of Simulation Models to Perform Cost-Effectiveness Analysis
- Exploring the Role of Explainability in AI-Assisted Embryo Selection
- Longitudinal Segmentation of Multiple Sclerosis Lesions Using nnU-Net Architecture
- Resource Allocation in Home Care Services Using Reinforcement Learning
- Assessing VTE Risk in Cancer Patients Using Deep Learning Synthetic Data Generation and Domain Adaptation Techniques
- Hipertension Demand Forecasting Using Cross-Correlation and Lagged Multiple Linear Regression Models for Anticipating Health Resources Needs
- Challenges in the Exploitation of Historical Clinical Data for the Classification of Diabetic Retinopathy Patients
- Part 4. AI for Good, Ethics, Society, Serious Games
- A General Model for the Metainformation of Complex Questionnaires for Automatic Preprocessing and Reporting Under INSESS Methodology
- Respect for Autonomy in the Machine Learning Pipeline
- Sequence Pattern Mining for Citizens Behaviour Learning in Fair-Purpose Social Games. Some Preliminary Results
- Reversal Error in Mathematics: Training Against It Using e coach
- Recommenders for Improved Lesson Planning in Formal Education
- Capturing Young People's Interest in Food Waste Reduction: An Approach Using Qualitative Reasoning
- Explainable Machine Learning Models for Predicting COVID-19 Cases in Catalonia Based on Wastewater Monitoring Data
- Exploring Learning Techniques for Developing Socially-Aware Service Robots: Best Practices for Social Comfort
- Adding Edge Local Differential Privacy to the Dynamic Stochastic Block Model
- Reconstruction of the LHCb Calorimeter Using Machine Learning: Lessons Learned
- A Real-World Dataset for Benchmarking False Alarm Rate in Keyword Spotting
- Predicting the Perceptual Rating of a Soundscape Using Artificial Intelligence
- Part 5. Consensus, Social Media Evaluation
- An Application to Measure Consensus on Customers' Ratings Using Hesitant Fuzzy Linguistic Term Sets
- Mathematical and Computational Models for Crowdsourced Geolocation
- Sentiment Analysis of Gastronomic Posts from Colour Palettes and Narrative Content
- Improving Disaster Response by Combining Automated Text Information Extraction from Images and Text on Social Media
- Text Characterisation for the Fight Against Political Misinformation
- Part 6. Boolean Satisfiability Problems
- SAT-IT: The Interactive SAT Tracer
- General Boolean Formula Minimization with QBF Solvers
- A Complete Tableau Calculus for the Regular MaxSAT Problem
- On the Density of States of Boolean Formulas
- Subject Index
- Author Index
