most citedSemi-supervised cross-lingual speech emotion recognition

34 citations · 57 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023

Deep Learning Hyperspectral Pansharpening on large scale PRISMA dataset

Simone Zini, Mirko Paolo Barbato, Flavio Piccoli +1

In this work, we assess several deep learning strategies for hyperspectral pansharpening. First, we present a new dataset with a greater extent than any other in the state of the a…

cs.CY2022

A unified platform for GIS data management and analytics

Flavio Piccoli, Simone Locatelli, Paolo Napoletano +1

In this work we propose a software platform for the collection, visualization, management and analysis of heterogeneous and multisource data for soil characteristics estimation. Th…

cs.CV2022

A deep scalable neural architecture for soil properties estimation from spectral information

Flavio Piccoli, Micol Rossini, Roberto Colombo +2

In this paper we propose an adaptive deep neural architecture for the prediction of multiple soil characteristics from the analysis of hyperspectral signatures. The proposed method…

cs.SD2022★ 34 cited

Semi-supervised cross-lingual speech emotion recognition

Mirko Agarla, Simone Bianco, Luigi Celona +5

Performance in Speech Emotion Recognition (SER) on a single language has increased greatly in the last few years thanks to the use of deep learning techniques. However, cross-lingu…

cs.CV2022★ 23 cited

Unsupervised Segmentation of Hyperspectral Remote Sensing Images with Superpixels

Mirko Paolo Barbato, Paolo Napoletano, Flavio Piccoli +1

In this paper, we propose an unsupervised method for hyperspectral remote sensing image segmentation. The method exploits the mean-shift clustering algorithm that takes as input a…