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Home > New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence: The DITTET 2022 Collection > Population-Based Methods to Reduce the Colors of an Image
New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence: The DITTET 2022 Collection |
Daniel H. de la Iglesia; Juan F. de Paz Santana; Alfonso J. López Rivero
Springer International Publishing
New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence: The DITTET 2022 Collection
Population-Based Methods to Reduce the Colors of an Image
Authors

María-Luisa Pérez-Delgado; Jesús-Angel Román-Gallego

ARI Id

1665404231049_6284586

Access

Not Available Free

Pages

254-264

DOI

10.1007/978-3-031-14859-0_23

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-031-14859-0_23

Table of Contents of Book
Showing 1 to 20 of 40 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xviii
Front Matter
1-1
Deep Learning Based Approaches for Vehicle Make and Model Recognition
Shridhar B. Devamane; Trupthi Rao
3-17
Comparing Machine Learning vs. Humans for Dietary Assessment
Maryam Abbasi; Cristina Wanzeller; Filipe Cardoso; Pedro Martins
18-29
Drawing Music: Using Neural Networks to Compose Descriptive Music from Illustrations
Lucía Martín-Gómez; Javier Pérez-Marcos; Alfonso José López Rivero; Giovanny Mauricio Tarazona Bermúdez
30-42
A Method to Identify Graphs Containing a Specific Sub-graph
Tomoya Hikita; Masaomi Kimura
43-54
An Advertising Real-Time Intelligent and Scalable Framework for Profiling Customers’ Emotions
Leandro Alves; Pedro Oliveira; João Henriques; Marco V. Bernardo; Cristina Wanzeller; Filipe Caldeira
55-68
An Intelligent and Scalable IoT Monitoring Framework for Safety in Civil Construction Workspaces
Carolina Ferreira; Luciano Correia; Manuel Lopes; João Henriques; Pedro Martins; Cristina Wanzeller et al.
69-78
Exploring Feature Extraction to Vulnerability Prediction Problem
Vitor Antonio Apolinário; Guilherme Dal Bianco; Denio Duarte; Valderi Reis Quietinho Leithardt
79-90
A Spanish Political Tweets Fine-Tuned Sentiment Analysis Model
Diego M. Jiménez-Bravo; Álvaro Lozano Murciego; Javier Bajo; Daniel H. De La Iglesia; Cristian Pinzón
91-102
European Union Fosters Ethical AI in the Public Administration
António da Costa Alexandre; Luís Moniz Pereira
103-113
Auto-Tagger of Contextual Activity Tags for Music Tracks
Alvaro Lozano Murciego; Diego M. Jiménez-Bravo; André Sales Mendes; Vivian F. López Baptista; Maria N. Moreno-García
114-121
Object Detection Through Computer Vision
Denis Pato Martínez; Vivian F. López-Batista; Juan Francisco de Paz Santana; María N. Moreno-García; Francisco García
122-130
Bias Analysis on Twitter
Jaime Alba-Cepero; Miguel Cabezas-Puerto; Vivian F. López-Batista; Ángeles M. Moreno-Montero
131-142
Towards the Detection of Hateful Sentiment in Social Networks
S. García González; Ana-Belén Gil-González; V. F. López-Batista
143-155
MusicFactory: Application of a Convolutional Neural Network for the Generation of Soundscapes from Images
Juan José Navarro-Cáceres; André Sales Mendes; Hector Sánchez San Blas; Gabriel Villarrubia González; María Navarro-Cáceres
156-164
Front Matter
165-165
Papal Teaching on the Ethical Challenges of Artificial Intelligence
Stuart Patrick Chalmers
167-177
The Role of the Right to Explanation and Its Safeguards in the Realization of Trustworthy AI
Orhan Gazi Yalcin
178-187
A Tool to Help Learning Programming
María-Luisa Pérez-Delgado; Jesús-Ángel Román-Gallego
188-197
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 40 entries
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