SUPSI

∙ Manno , Switzerland ∙ 0 followers

The Scuola universitaria professionale della Svizzera italiana (SUPSI) is one of the nine universities of vocational education recognized by the Swiss Confederation.

research

∙ 09/28/2019

Active preference learning based on radial basis functions

This paper proposes a method for solving optimization problems in which ...

Alberto Bemporad, et al. ∙

research

∙ 01/21/2022

On the adaptation of recurrent neural networks for system identification

This paper presents a transfer learning approach which enables fast and ...

Marco Forgione, et al. ∙

research

∙ 01/31/2018

Counting Cells in Time-Lapse Microscopy using Deep Neural Networks

An automatic approach to counting any kind of cells could alleviate work...

Alexander Gomez Villa, et al. ∙

research

∙ 03/09/2018

Constrained hierarchical networked optimization for energy markets

In this paper, we propose a distributed control strategy for the design ...

Lorenzo Nespoli, et al. ∙

research

∙ 06/04/2018

A rational decentralized generalized Nash equilibrium seeking for energy markets

We propose a method to design a decentralized energy market which guaran...

Lorenzo Nespoli, et al. ∙

research

∙ 10/03/2019

Hierarchical Demand Forecasting Benchmark for the Distribution Grid

We present a comparative study of different probabilistic forecasting te...

Lorenzo Nespoli, et al. ∙

research

∙ 02/26/2021

The Virtual Emotion Loop: Towards Emotion-Driven Services via Virtual Reality

The importance of emotions in service and in product design is well know...

Davide Andreoletti, et al. ∙

research

∙ 11/19/2021

Edge Computing vs Centralized Cloud: Impact of Communication Latency on the Energy Consumption of LTE Terminal Nodes

Edge computing brings several advantages, such as reduced latency, incre...

Chiara Caiazza, et al. ∙

research

∙ 01/26/2022

Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data

Twitter data have become essential to Natural Language Processing (NLP) ...

Federico Bianchi, et al. ∙

research

∙ 04/12/2022

NARX Identification using Derivative-Based Regularized Neural Networks

This work presents a novel regularization method for the identification ...

L. H. Peeters, et al. ∙

SUPSI

Featured Researchers

Dario Piga

Marco Gallieri

Vasco Medici

Lorenzo Nespoli

Silvia Giordano

Alexander Gomez Villa

Vincenzo Cutrona

Igor Stefanini

M. Forgione

Active preference learning based on radial basis functions

On the adaptation of recurrent neural networks for system identification

Counting Cells in Time-Lapse Microscopy using Deep Neural Networks

Constrained hierarchical networked optimization for energy markets

A rational decentralized generalized Nash equilibrium seeking for energy markets

Hierarchical Demand Forecasting Benchmark for the Distribution Grid

The Virtual Emotion Loop: Towards Emotion-Driven Services via Virtual Reality

Edge Computing vs Centralized Cloud: Impact of Communication Latency on the Energy Consumption of LTE Terminal Nodes

Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data

NARX Identification using Derivative-Based Regularized Neural Networks