Temporal Convolutional Networks (TCNs) are promising Deep Learning models for time-series processing tasks. One key feature of TCNs is time-dilated convolution, whose optimization requires extensive experimentation. We propose an automatic dilation optimizer, which tack...

Il presente lavoro costituisce una sintesi, aggiornata al 2020, delle conoscenze sulla vegetazione dell'Emilia-Romagna. Le fonti utilizzate sono rappresentate esclusivamente da dati di letteratura (articoli, volumi, in un caso una Tesi di Dottorato) riguardanti il terri...

In this paper we propose the Music Note Ontology, an ontology for modelling music notes and their realisation. The ontology addresses the relation between a note represented in a symbolic representation system, and its realisation, i.e. a musical performance. This work ...