A blind, single channel dereverberation method in the time-frequency domain.
A bio-inspired algorithm for synthesizing linear and branched metabolic pathways.
Semi-supervised method for microRNA prediction with few labelled samples.
Arousal and valence are estimated from features of heart rate variability.
Compares a supervised vs an unsupervised approach for pre-miRNA prediction in model genomes.
A novel method to smoothly control the diversity of a cluster ensemble.
Algorithm for frequency-domain blind source separation based on Multibin ICA for 2 by 2 mixtures.
Algorithm for frequency-domain blind source separation based on the pseudoanechoic model.
miRNAfe full is an advanced tool to extract features from RNA sequences, providing almost all state-of-the-art feature extraction methods published today.
A regularity-based algorithm designed for long-term analysis of foraging behavior in grazing cattle.
Clustermatch is an efficient clustering method able to process highly diverse datasest.
Extreme learning machines for reverse engineering of gene regulatory networks from expression time series.
Blind speech dereverberation based on convolutive non-negative matrix factorization with mixed penalization.
Classification of Furnariidae species using speech-related features and machine learning.
A novel and effective way of approaching high class-imbalance in pre-miRNA prediction.
A novel method for inferring biological function for a set of genes with previously unknown function.
miRNA-SOM is a tool for the discovery of pre-miRNA in the E. multilocularis genome.
An evolutionary tool for finding novel metabolic pathways linking compounds through feasible reactions.
A comprehensive tool providing almost all state-of-the-art RNA feature extraction methods used today.