Elenco Pubblicazioni - Publications (481)

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M. Moscadelli, A. Riccobono, C. Giunti, E. Guadagnoli, A. Porta, Polynomial-fitting Temperature-Emissivity Separation in Thermal IR Hyperspectral Imagery - Polaris Innovation Journal, Issue 35, Leonardo S.p.A. Technical Review, September 2018.

This paper presents a new algorithm for the Temperature-Emissivity Separation (TES) task in LWIR hyperspectral imagery. The joint retrieval of both physical quantities from the measured radiance represents an ill-posed problem. Moreover, the atmosphere modifies…
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D. Mulfari, G.Meoni, M.Marini, L. Fanucci (2018) - Towards a Deep Learning Based ASR System for Users with Dysarthria, 16th International Conference on Computers Helping People with Special Needs, University

In this paper, we investigate the benefits of deep learning approaches for the development of personalized assistive technology solutions for users with dysarthria, a speech disorder that leads to low intelligibility of users’ speaking. It…
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Structural and Thermoanalytical Characterization of 3D Porous PDMS Foam Materials: The Effect of Impurities Derived from a Sugar Templating Process

José Gonzàlez-Rivera, Rossella Iglio, Giuseppe Barillaro, Celia Duce and Maria Rosaria Tinè Polymers 2018, 10 (6), 616; https://doi.org/10.3390/polym10060616 Abstract Polydimethylsiloxane (PDMS) polymers are extensively used in a wide range of research and industrial fields, due…
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B. Delalat, C. Cozzi, S. R. Ghaemi, G. Polito, F. H. Kriel, T. D. Michl, F. J. Harding, C. Priest, G. Barillaro, and N. H. Voelcker, Microengineered Bioartificial Liver Chip for Drug Toxicity Screening, Advanced Functional Materials, 2018

Microfluidic 3D cell culture is a promising technology for the screening of drug toxicity profiles. In this study, a bioartificial liver consisting of a surfaceengineered microfluidic silicon chip with microtrenches mimicking hepatic sinusoids is shown…
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Cominelli, L., Mazzei, D., & De Rossi, D. E. (2018). SEAI: Social Emotional Artificial Intelligence Based on Damasio’s Theory of Mind. Frontiers in Robotics and AI, 5, 6.

A socially intelligent robot must be capable to extract meaningful information in real time from the social environment and react accordingly with coherent human-like behavior. Moreover, it should be able to internalize this information, to…
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