Algorithm for blind speech dereverberation based upon a convolutive non-negative matrix factorization model with mixed penalization.
Extreme learning machines for reverse engineering of gene regulatory networks from expression time series.
A novel and effective way of approaching high class-imbalance in pre-miRNA prediction. The unsupervised deep model overcome the problem of having very few positive class labels.
EvoMS is an evolutionary tool capable of finding novel metabolic pathways linking several compounds through feasible reactions.
Automatic classification of Furnariidae species from Litoral Paranaense region using speech-related features and machine learning.
Dimensional Affect Recognition
This web-demo illustrates an approach to dimensional affect recognition. Arousal and valence are estimated from features of heart rate variability.
miRNA: supervised vs unsupervised
Compares a supervised vs an unsupervised approach for pre-miRNA prediction in model genomes.
A novel method for inferring biological function for a set of genes with previously unknown function, given a set of genes with well-known semantic information.
A novel method to smoothly control the diversity of a cluster ensemble, thus providing an effective way to study the diversity influence on consensus performance.
miRNA-SOM is a tool for the discovery of pre-miRNA in the E. multilocularis genome through a novel approach based on machine learning.
Algorithm for frequency-domain blind source separation based on Multibin ICA for 2 by 2 mixtures.
miRNAfe is a comprehensive tool to extract features from RNA sequences, providing almost all state-of-the-art feature extraction methods used today in several works from different authors.
miRNAfe full is an advanced tool to extract features from RNA sequences, providing almost all state-of-the-art feature extraction methods published today.
*omeSOM is a tool designed to give support to the data mining task of metabolic and transcriptional datasets derived from different databases.
Simple demo of bSOM, an algorithm for improve clustering with information from metabolic pathways.