68 citations · 188 across the 25 of their papers we have counts for
5 papers · 1 filter
Comparison between DeepESNs and gated RNNs on multivariate time-series prediction
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
We propose an experimental comparison between Deep Echo State Networks (DeepESNs) and gated Recurrent Neural Networks (RNNs) on multivariate time-series prediction tasks. In partic…
Chasing the Echo State Property
Claudio Gallicchio
Reservoir Computing (RC) provides an efficient way for designing dynamical recurrent neural models. While training is restricted to a simple output component, the recurrent connect…
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Benjamin Paaßen, Claudio Gallicchio, Alessio Micheli +1
Metric learning has the aim to improve classification accuracy by learning a distance measure which brings data points from the same class closer together and pushes data points fr…
Deep Echo State Networks for Diagnosis of Parkinson's Disease
Claudio Gallicchio, Alessio Micheli, Luca Pedrelli
In this paper, we introduce a novel approach for diagnosis of Parkinson's Disease (PD) based on deep Echo State Networks (ESNs). The identification of PD is performed by analyzing…
Short-term Memory of Deep RNN
Claudio Gallicchio
The extension of deep learning towards temporal data processing is gaining an increasing research interest. In this paper we investigate the properties of state dynamics developed…