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17th IBERAMIA 2022: Cartagena de Indias, Colombia
- Ana Cristina Bicharra Garcia, Mariza Ferro, Julio César Rodríguez Ribón:
Advances in Artificial Intelligence - IBERAMIA 2022 - 17th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 23-25, 2022, Proceedings. Lecture Notes in Computer Science 13788, Springer 2022, ISBN 978-3-031-22418-8
Applications of AI
- Juan A. Olmos, Juan C. Galvis, Fabio Martínez:
Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson's Disease Diagnosis. 3-14 - Lucas Ferreira Paiva, Elizabeth Regina Alfaro-Espinoza, Pablo de Souza Vieira Santana, Vinicius Martins Almeida, Amanda Bomfim Moitinho, Leonardo Bonato Felix, Rodolpho V. A. Neves:
Forroset: A Multipurpose Dataset of Brazilian Forró Music. 15-26 - Hermes Andrés Ayala-Cucas, Edison Alexander Mora-Piscal, Dagoberto Mayorca-Torres, Diego Hernán Peluffo-Ordóñez, Alejandro J. León-Salas:
Impact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques. 27-40 - David Kubon, Frantisek Mráz, Ivan Rychtera:
Learning Automata Using Dimensional Reduction. 41-52 - Ariadna C. Moreno Román, Mailyn Moreno-Espino, Cynthia Porras, Juan Pavón:
Modelling Urban Traffic Configuration with the Influence of Human Factors. 53-64 - Pedro Filipe Oliveira, M. Salomé Duarte, Paulo Novais:
Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent. 65-76 - Taco de Wolff, Hugo Carrillo Lincopi, Luis Martí, Nayat Sánchez-Pi:
Optimal Architecture Discovery for Physics-Informed Neural Networks. 77-88 - Alberto Reyes, Ramiro Hernández, Alberto Hernández, Leonardo Rejón, Karla Gutiérrez, Ricardo Montes, Alejandro Valverde:
An AI-Based Approach for Failure Prediction in Transmission Lines Components. 89-100
Ethics and Smart City
- Rui Miranda, Vasco Ramos, Eduarda Ribeiro, Carla Rodrigues, António Silva, Dalila Durães, César Analide, António Abelha, José Machado:
Crowdsensing on Smart Cities: A Systematic Review. 103-106 - Fernando Cardoso Durier da Silva, Ana Cristina Bicharra Garcia, Sean Wolfgand Matsui Siqueira:
Sentiment Gradient, An Enhancement to the Truth, Lies and Sarcasm Detection. 107-118
Green and Sustainable AI
- Fernando Martínez Tabares, Mauricio Orozco-Alzate:
Selection of Acoustic Features for the Discrimination Between Highly and Moderately Transformed Colombian Soundscapes. 121-132 - André M. Yokoyama, Mariza Ferro, Bruno Schulze:
A Multi-objective Hyperparameter Optimization for Machine Learning Using Genetic Algorithms: A Green AI Centric Approach. 133-144
Machine Learning
- Karen Braga Enes, Matheus Nunes, Fabricio Murai, Gisele L. Pappa:
Evolving Node Embeddings for Dynamic Exploration of Network Topologies. 147-159 - Joseph Alejandro Gallego, Juan F. Osorio, Fabio A. González:
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features. 160-172 - Juan Camilo Mejía Hernández, Federico Gutiérrez Madrid, Héctor Fabio Quintero Riaza, Carlos Alberto Romero Piedrahita, Juan David Ramírez Alzate:
A Novel Methodology for Engine Diagnosis Based on Multiscale Permutation Entropy and Machine Learning Using Non-intrusive Data. 173-184 - María Isabel Cano, Claudia Isaza, Angela Sucerquia, Natalia Trujillo, José David López:
Markers of Exposure to the Colombian Armed Conflict: A Machine Learning Approach. 185-195 - Jesús García-Ramírez, Eduardo F. Morales, Hugo Jair Escalante:
Model Compression for Deep Reinforcement Learning Through Mutual Information. 196-207 - Maria J. Guerrero, Jonathan Restrepo, Daniel Alexis Nieto-Mora, Juan M. Daza, Claudia Isaza:
Insights from Deep Learning in Feature Extraction for Non-supervised Multi-species Identification in Soundscapes. 218-230 - Larissa Montenegro, Hugo Peixoto, José Manuel F. Machado:
Evaluation of Transfer Learning to Improve Arrhythmia Classification for a Small ECG Database. 231-242 - Hernán Ceferino Vázquez:
A General Recipe for Automated Machine Learning in Practice. 243-254 - Jonathan Serrano-Pérez, Luis Enrique Sucar:
Semi-supervised Hierarchical Classification Based on Local Information. 255-266 - William da Rosa Fröhlich, Sandro José Rigo, Marta Rosecler Bez, Daiane Rocha de Oliveira, Maurizio Zibetti:
The Impact of Allostatic Load on Machine Learning Models. 267-278
Natural Language Processing
- Juan Camacho, Juan Cámera, Mathías Etcheverry:
Antonymy-Synonymy Discrimination in Spanish with a Parasiamese Network. 281-292 - Pedro Dal Bianco, Gastón Ríos, Franco Ronchetti, Facundo Manuel Quiroga, Oscar Stanchi, Waldo Hasperué, Alejandro Rosete:
LSA-T: The First Continuous Argentinian Sign Language Dataset for Sign Language Translation. 293-304 - Péricles B. C. de Miranda, Vitor Casadei, Emely Pujólli da Silva, Jayne Silva, Manoel Alves, Marianna Severo, João Paulo Freitas:
TSPNet-HF: A Hand/Face TSPNet Method for Sign Language Translation. 305-316 - Zdenek Hanzlícek, Jindrich Matousek:
Phonetic Speech Segmentation of Audiobooks by Using Adapted LSTM-Based Acoustic Models. 317-327
Robotics and Computer Vision
- José G. Nava Zavala, José Martínez-Carranza:
Depth Estimation from a Single Image Using Line Segments only. 331-341 - Rafael Mejia-Zuluaga, Juan Carlos Aguirre-Arango, Diego Collazos-Huertas, Jessica Daza-Castillo, Néstor Valencia-Marulanda, Mauricio Calderón-Marulanda, Oscar David Aguirre-Ospina, Andrés Álvarez-Meza, Germán Castellanos-Domínguez:
Deep Learning Semantic Segmentation of Feet Using Infrared Thermal Images. 342-352 - Leticia Oyuki Rojas-Perez, José Martínez-Carranza:
Where Are the Gates: Discovering Effective Waypoints for Autonomous Drone Racing. 353-365 - Héctor Avilés, Marco Negrete, Ruben Machucho-Cadena, Karelly Rivera, David Trejo, Héctor Vargas:
Probabilistic Logic Markov Decision Processes for Modeling Driving Behaviors in Self-driving Cars. 366-377
Simulation and Forecasting
- Salvador Eugenio Ayala-Raggi, Luís Efraín López-García, Jesús Manuel Roa-Escalante, Lourdes Gabriela Soid-Raggi, Aldrin Barreto-Flores, José Francisco Portillo-Robledo:
Design of E. coli Growth Simulator Using Multi-agent System. 381-392 - Jonathan Vinicius Kaizer, Rodrigo Clemente Thom de Souza, Linnyer Beatrys Ruiz Aylon:
Quantitative Models for Forecasting Demand for Perishable Products: A Systematic Review. 393-404
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