Elenco Pubblicazioni - Publications (1557)
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.
Written by MATTEO MOSCADELLI
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…
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
Written by DAVIDE MULFARI
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…
Structural and Thermoanalytical Characterization of 3D Porous PDMS Foam Materials: The Effect of Impurities Derived from a Sugar Templating Process
Written by ROSSELLA IGLIO
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…
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
Written by CHIARA COZZI
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…
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.
Written by LORENZO COMINELLI
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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- Prof. T. Djenizian, Head of the Flexible Electronics Department Microelectronics, Center of Provence Mines Saint-Étienne, Institut Mines-Télécom, "3D Nano- and Microstructures for Sustainable and Flexible Energy Devices", 9-13 June 2025
- Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
- CORSO POSTICIPATO - TO BE RESCHEDULED - Prof. Sajal K. Das, Missouri University of Science and Technology Rolla, MO, USA, "Secure and Resilient Cyber-Physical Systems for Smart Living", 12-15 May 2025
- MODIFICA DATE CORSO - Prof. Nicola Tonellotto, University of Pisa – Italy, PhD. Guglielmo Faggioli, Università degli Studi di Padova - Italy, "Privacy Preserving Information Access", 19-23 May 2025
- MODIFICA AULA CORSO Prof. Nicola Tonellotto, University of Pisa – Italy, PhD Federico Siciliano, Sapienza University of Rome – Italy, "Recommender Systems Applications in Industry 5.0", 5-9 May 2025
