See below the sites and detailed programme of each technical session Programme-IBERAMIA’2022 (PDF)
Proceedings IBERAMIA’2022
Wednesday, 23th November |
Thursday, 24th November |
Friday, 25th November |
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8:00-11:00 Registration (Campus de La Merced) |
8:00-11:00 Registration (Campus de La Merced) |
8:00-11:00 Registration (Campus de La Merced) |
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9:00-11:00 Reserved Salón Erendia |
10:00-11:00 Workshop Explainable Deep Learning for COVID-19 data Salón 213 |
09:00-10:30 Session 3A Salón Erendida |
09:00-10:30 Session 3B Salón 213 |
09:00-11:00 Session 6A Salón Erendida |
09:00-11:00 Session 6B Salón 213 |
10:30 -11:00 |
11:00 -11:30 |
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11:00-12:00 Opening Ceremony Auditorio Aula Máxima de Derecho |
11:00-12:00 Plenary Talk
Artificial intelligence for (climate) good Auditorio Aula Máxima de Derecho |
11:30 Closing Ceremony (Campus San Agustín) |
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12:00 – 14:00 Lunch Break | |||||
14:00 -15:00 Plenary Talk AI as an extension of human intelligence Auditorio Aula Máxima de Derecho |
14:00-16:00 Session 4A
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14:00-16:00 Session 4B
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15:00 -16:00 Session 1A Salón Erendida |
15:00 -16:00 Session 1B Salón 213 |
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16:00-16:30 Coffee break (Campus de La Merced) |
16:00-16:30 Coffee break (Campus de La Merced) |
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16:30 -17:30 Session 2A Salón Erendida |
16:30 -17:30 Session 2B Salón 213 |
16:30-18:00
Session 5A Salón Erendida |
16:30-18:00 Session 5B Salón 213 |
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17:30 Cultural Reception Symphonic Concert School of Fine Arts. Calle 39 Plaza de San Diego |
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18:30 Cultural Event & Awards Best Papers | |||||
Gala Dinner Bus Chiva, don’t miss it |
Sites
- Technical Sessions and Workshops: Claustro de la Merced, Universidad de Cartagena (Google Maps).
- Open Ceremony and Plenary Talks: Campus de San Agustín. Universidad de Cartagena (Google Maps)
- Cultural Reception: School of Fine Arts, Calle 39 Plaza de San Diego. Cartagena de Indias. (Google Maps)
- Cultural Event & Gala Dinner: Casa del Marqués – Plaza de la Aduana (Google Maps)
- Iberamia meeting: 14:30, Thursday, 24th.
Detailed Programme. Technical Sessions
Session 1A, 23 Nov (Wednesday) 15:00 -16:00. Green AI (Session Chair: Nayat Sanchez-Pi)
- Selection of Acoustic Features for the Discrimination between Highly and Moderately Transformed Colombian Soundscapes
- Martínez Tabares, Orozco-Alzate
- Multi-objective Hyperparameter Optimization for Machine Learning using Genetic Algorithms: a Green AI Centric Approach
- Ferro, Yokoyama, Schulze
Session 1B, 23 Nov (Wednesday) 15:00 -16:00. Simulation and Forecasting (Session Chair: Ana Cristina Bicharra Garcia)
- Design of E. coli Growth Simulator Using Multi-Agent System
- López-García, Roa-Escalante, Soid-Raggi, Barreto-Flores, Portillo-Robledo, Ayala-Raggi
- Quantitative models for forecasting demand for perishable products: A systematic review
- Kaizer, Souza, Aylon
Session 2A, 23 Nov (Wednesday) 16:30 -17:30. Ethics and smart city (Session Chair: Juan Pavon)
- Sentiment Gradient, an enhancement to the Truth, Lies and Sarcasm Detection
- Cardoso Durier da Silva, Bicharra Garcia, Siqueira
- Crowdsensing on Smart Cities: a Systematic Review
- Miranda, Ramos, Ribeiro, Rodrigues, Silva, Duraes, Analide, Abelha, Machado
Session 2B, 23 Nov (Wednesday) 16:30 -17:30. Poster presentations.
- FeetGUI: A Python-based computer vision tool to support anesthesia assessment procedures using infrared thermography
- Tobon-Henao, Lotero-Londoño, Collazos-Huertas, Daza-Castillo, Valencia-Marulanda, Calderón-Marulanda, Aguirre-Ospina, Alvarez-Meza, Castellanos-Dominguez, Loaiza
- An Investigation of Performance Indicator Prediction for User Experience of Connectivity in Smart Vehicles
- Skiöld, Arora, Mihailescu, Balaghi
- Heart disease diagnoses: a study regarding assigning credibility to evidence
- RIBEIRO, Bicharra Garcia, Santos
- Proposal of a software translator with interlanguage translation resources, Brazilian Sign Language (Libras) – Portuguese
- Gava, Inacio, Kleine, Souza, Bidarra, Martins, Rocha, Leite Gomes
Session 3A, 24 Nov (Thursday) 9:00 -10:30. Applications of AI (Session Chair: Paulo Novais)
- Modelling urban traffic configuration with the influence of human factors
- Moreno Román, Moreno, Porras, Pavón
- An AI–based approach for failure prediction in transmission lines components
- Reyes Ballesteros, Hernández Corona, Hernández Valdez, Rejón, Gutiérrez, Montes, Valverde
- Applying Anomaly Detection Models in Wastewater Management: A case study of nitrates concentration in the effluent
- Oliveira, Duarte, Novais
Session 3B, 24 Nov (Thursday) 9:00 -10:30. Machine Learning (Session Chair: Nestor Darío Duque Mendes)
- A General Recipe for Automated Machine Learning in Practice
- Vazquez
- Insights from Deep Learning in Feature Extraction for Non-supervised Multi-species Identification in Soundscapes
- Guerrero, Restrepo, Nieto-Mora, Daza, Isaza
- Evaluation of Transfer Learning to improve Arrhythmia Classification for a small ECG Database
- Montenegro, Peixoto, Machado
Session 4A, 24 Nov (Thursday) 14:00 -16:00. Robotics (Session Chair: Jose Martinez-Carranza)
- Where are the Gates: Discovering Effective Waypoints for Autonomous Drone Racing
- Rojas Perez, Martinez Carranza
- Probabilistic logic Markov decision processes for modeling driving behaviors of self-driving cars
- Negrete, Machucho, Rivera, Trejo, Vargas, Avilés
- Deep Learning Semantic Segmentation of Feet using Infrared Thermal Images
- Aguirre-Arango, Collazos-Huertas, Daza-Castillo, Valencia-Marulanda, Calderón-Marulanda, Aguirre-Ospina, Álvarez-Meza, Castellanos-Domínguez, Mejía-Zuluaga
- Depth estimation from a single image using line segments only
- Nava Zavala, Martinez-Carranza
Session 4B, 24 Nov (Thursday) 14:00 -16:00. Machine Learning (Session Chair: Hugo Jair Escalante Balderas)
- Model Compression for Deep Reinforcement Learning Through Mutual Information
- García-Ramírez, Morales Manzanares, Escalante Balderas
- The Impact of Allostatic Load on Machine Models
- da Rosa Fröhlich, José Rigo, Rosecler Bez, Rocha de Oliveira, Ricardo Zibetti
- Evolving node embeddings for dynamic exploration of network topologies
- Enes, Nunes, Murai, Pappa
- Fast Kernel Density Estimation with Density Matrices and Random Fourier Features
- Gallego M., Gonzalez O, Osorio
Session 5A, 24 Nov (Thursday) 16:30 -18:00. Applications of AI (Session Chair: Mariza Ferro)
- Learning Automata Using Dimensional Reduction
- Kubon, Rychtera, Mraz
- Optimal Architecture Discovery for Physics-Informed Neural Networks
- de Wolff, Carrillo, Martí, Sanchez-Pi
- Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson’s Disease Diagnosis
- Olmos, Galvis, Martínez
Session 5B, 24 Nov (Thursday) 16:30 -17:30. Applications of AI (Session Chair: Ana Cristina Bicharra Garcia)
- Impact of ECG signal preprocessing and filtering on arrhythmia classification using machine learning techniques
- Miranda, Casadei, Silva, Mayorca-Torres, Peluffo-Ordoñez, Mora-Piscal, León-Salas, Ayala
- Forroset: A multipurpose dataset of Brazilian Forró music
- Ferreira-Paiva, Alfaro-Espinoza, de Souza Vieira Santana, Martins Almeida, Bomfim Moitinho, Bonato Felix, Vilela Alves Neves
Session 6A, 25 Nov (Friday) 9:00 -11:00. Natural Language Processing (Session Chair: Mariza Ferro)
- Antonymy-Synonymy Discrimination in Spanish with a Parasiamese Network
- Camacho, Camera, Etcheverry
- LSA-T: The first continuous Argentinian Sign Language dataset for Sign Language Translation
- Dal Bianco, Ríos, Ronchetti, Quiroga, Stanchi, Hasperué, Rosete
- TSPNet-HF: A Hand/Face TSPNet Method for Sign Language Translation
- Miranda, Casadei, Silva, Silva, Alves, Severo, Freitas
- Phonetic speech segmentation of audiobooks by using adapted LSTM-based acoustic models
- Hanzlíček, Matoušek
Session 6B, 25 Nov (Friday) 9:00 -11:00 Machine Learning (Session Chair: Luis Enrique Sucar)
- Semi-Supervised Hierarchical Classification Based on Local Information
- Serrano-Pérez, Sucar
- Markers of exposure to the Colombian armed conflict: A machine learning approach
- Cano, Isaza, Sucerquia, Trujillo, López
- Early Detection of Abandonment Signs in Interactive Novels with a Randomized Forest Classifier
- Navarro-Alamán, García-Magariño, Gómez Sanz, Lacuesta, Fuentes Fernández, Pavón
- A novel methodology for engine diagnosis based on multiscale permutation entropy and machine learning using non-intrusive data
- Mejía, Quintero Riaza, Gutiérrez Madrid, Ramírez Alzate, Romero Piedrahita