Software

My recent open-source projects are available on

Datasets

  • Benchmark dataset for graph classification [Link]

Python

  • Ensemble Conformalized Quantile Regression [Link]

  • Reservoir Computing framework for multivariate time series classification [Link]

  • Spectral Clustering with Graph Neural Networks for Graph Pooling [Link]

  • Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling [Link]

  • Bidirectional Deep Echo State Networks [Link]

  • Basic Tensorflow Autoencoder [Link]

  • Kernelized Autoencoder for missing data [Link]

  • Echo State Network with genetic algorithm for hyperparameters optimization [Link]

  • Recurrent Neural Networks (Elmann RNN, LSTM, GRU) for time series prediction [Link]

C++

  • Something for PAttern REcognition (SPARE) library [Link]

  • GRaunlar computing Approach for Labeled Graphs (GRALG), with wrapper for image classification [Link]

  • Approximate String Online MatchingASOM (ASOM) algorithm [Link]

R

  • Automatic approaches for Short-Term Load Forecasting [Link]

Matlab

  • Time series Cluster Kernel [Link]

  • Data-driven detrending of nonstationary fractal time series with echo state networks [Link]

  • PROjected CLUstering (PROCLUS) algorithm for subspace clustering [Link]

  • Local Dissimilarity Agent Based Cluster Discoverer (LDABCD) algorithm [Link]

  • Approximate String Online MatchingASOM (ASOM) algorithm [Link]

  • Echo State Network with Recurrent Quantification Analysis [Link]