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Found 5 papers, 0 papers with code
Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System
This work addresses the performance comparison between four clustering techniques with the objective of achieving strong hybrid models in supervised learning tasks.
Survival and grade of the glioma prediction using transfer learning
In conclusion, this study presents a promising method for predicting the survival and grade of glioblastoma.
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
This dataset is composed of 920 sounds of which 810 are of chronic diseases, 75 of non-chronic diseases and only 35 of healthy individuals.
Diabetes detection using deep learning techniques with oversampling and feature augmentation
Conclusions: Using a full deep learning pipeline for data preprocessing and classification has demonstrate to be very promising in the diabetes detection field outperforming the state-of-the-art proposals.
Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network
In this work, a sentiment analysis method that is capable of accepting audio of any length, without being fixed a priori, is proposed.
