Advances in computational intelligence

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Körperschaft: MICAI (VerfasserIn)
Weitere Verfasser: Batyršin, Ildar (HerausgeberIn), Gelbukh, Alexander (HerausgeberIn), Sidorov, Grigori (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham, Switzerland Springer 2021
Schriftenreihe:Lecture notes in computer science 13067. Lecture notes in artificial intelligence
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Titel Jahr Verfasser
A Comparative Study on Approaches to Acoustic Scene Classification Using CNNs 2021 Ananya, Ishrat Jahan
Seasonality Atlas of Solar Radiation in Mexico 2021 Borunda, Mónica
Deep Leaming Architectures Applied to Mosquito Count Regressions in US Datasets 2021 Suarez-Ramirez, Cuauhtemoc Daniel
Supervised Learning Approach for Section Title Detection in PDF Scientific Articles 2021 Guedes, Gustavo Bartz
Measuring the Effect of Categorical Encoders in Machine Learning Tasks Using Synthetic Data 2021 Valdez-Valenzuela, Eric
Long-Term Exploration in Persistent MDPs 2021 Ugadiarov, Leonid
Source Task Selection in Time Series via Performance Prediction. 2021 Garcia-Ramírez, Jesús
Performance Evaluation of Artificıal Neural Networks Applied in the Classification of Emotions 2021 Läzaro-Lä´ázaro, Juan-Jos-Ignacio
Machine Learning Algorithms Based on the Classification of Motor Imagination Signals Acquired with an Electroencephalogram 2021 Rodriguez, Paula
Real Time Distraction Detection by Facial Attributes Recognition 2021 Esquivel, Andres Alberto López
COVID-19 on the Time, Countries Deaths Monitoring and Comparison Dealing with the Pandemic 2021 Martínez, Juan J.
Linear Structures Identification in Images Using Scale Space Radon Transform and Multiscale Image Hessian 2021 Goumeidane, Aicha Baya
Artificia Organic Networks Approach Applied to the Index Tracking Problem 2021 González-N., Enrique
Real-Time Mexican Sign Language Interpretation Using CNN and HMM 2021 Sánchez, Jairo Enrique Ramírez
RiskIPN: Pavement Risk Database for Segmentation with Deep Leaming 2021 Escalona, Uriel
Finding Significant Features for Few-Shot Leaming Using Dimensionality Reduction 2021 Mendez-Ruiz, Mauricio
A Machine Learning Approach for Modeling Safety Stock Optimization Equation in the Cosmetics and Beauty Industry 2021 Diaz, David
DBSCAN Parameter Selection Based on K-NN 2021 Delgado, Leonardo
Comparing Machine Learning Based Segmentation Models on Jet Fire Radiation Zones 2021 Pérez-Guerrero, Carmina
Deep Neural Networks for Biomedical Image Segmentation: Trends and Best Practices 2021 Loeza-Mejía, Cecilia-Irene
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