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scopus(4)
Financial Time Series Forecasting Applying Deep Learning Algorithms
Conference ObjectAbstract: Deep learning methods can identify and analyze complex patterns and interactions within the data toPalabras claves:deep learning, Financial time series, forecasting, State-of-the-ArtAutores:Erick Cuenca, Erik Solís, Sherald NoboaFuentes:scopusEcuador Agricultural Product Price Forecast: A Comparative Study of Deep Learning Models
Conference ObjectAbstract: The application of forecasting techniques in the agriculture industry started with a commodity pbkp_Palabras claves:Commodity, deep learning, forecasting, Hyperparameter tuningAutores:Erick Cuenca, Erik Solís, Sherald NoboaFuentes:scopusIdentifying the Political Tendency of Social Bots in Twitter Using Sentiment Analysis: A Use Case of the 2021 Ecuadorian General Elections
Conference ObjectAbstract: Sentiment analysis of social network data increasingly represents the real political scenario of manPalabras claves:Political tendency, sentiment analysis, Social media, Twitter botsAutores:Andrade A., Andrés Quelal, Erick Cuenca, Jean Camacho, Juan Fernando Borja Brito, Mateo Sebastián LomasFuentes:scopusU-Net vs. TransUNet: Performance Comparison in Medical Image Segmentation
Conference ObjectAbstract: Image segmentation is a fundamental task in computer-aided diagnosis systems. Correct image segmentaPalabras claves:Artificial Intelligence, deep learning, image segmentation, Supervised learningAutores:Anthony Crespo, Erick Cuenca, Leo Ramos, Mike Bermeo, Roberto Castro Izurieta, Stadyn Román NiemesFuentes:scopus