In this paper, we focus on the prediction issue of the nonlinear chaotic time series. In
particular, we introduce the modified echo state network (M-ESN) to predict the time series of …

Echo state networks (ESNs) are a special type of recurrent neural networks (RNNs), in which
the input and recurrent connections are traditionally generated randomly, and only the …

Abstract Reservoir Computing Networks (RCNs) belong to a group of machine learning
techniques that project the input space non-linearly into a high-dimensional feature space …

Parkinson's disease (PD) is a debilitating neurological disorder that necessitates precise
and early diagnosis for effective patient care. This study aims to develop a diagnostic model …

Note onset detection–the detection of the beginning of new note events–is a fundamental
task for music analysis that can help to improve Automatic Music Transcription (AMT). The …

In recent years, Echo State Networks (ESNs), a special type of Recurrent Neural Networks
(RNNs), have become increasingly established in the Machine Learning (ML) community …

Causality theory is a complex field involving philosophy, mathematics, and computer
science. It relies on the temporal precedence of cause over a consequence or unidirectional …

Neste trabalho, investiga-se o desempenho do reservoir computing, por meio das echo
state networks (ESNs), em problemas de processamento de sinais. Após uma breve revisão …

UNIVERSIDADE FEDERAL DO AMAZONAS FACULDADE DE TECNOLOGIA PÓS-GRADUAÇÃO
EM ENGENHARIA ELÉTRICA DETECÇÃO DE ONSETS EM NOTAS Page 1 UNIVERSIDADE …

Automatic music transcription (AMT) is one of the challenging problems in Music Information
Retrieval with the goal of generating a score-like representation of a polyphonic audio …