Description: ESPLORA (Exoplanet Spectroscopy at high resolution to Probe their Lost Origins by Revealing their Atmospheric compositions) funded by Project European Union – Next Generation EU RRF M4C2 1.1 PRIN MUR 2022 project 2022CERJ49 (ESPLORA) “Finanziato dall’Unione europea- Next Generation EU, Missione 4 Componente 2. About five-thousand confirmed extrasolar planets are known to date, but […]
Authors Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, Francesco Camastra Journal Information (MDPI) Abstract A time series is a sequence of time-ordered data, and it is generally used to describe how a phenomenon evolves over time. Time series forecasting, estimating future values of time series, allows the implementation of decision-making strategies. Deep learning, the currently leading […]
Authors JH Giraldo, V Scarrica, A Staiano, F Camastra, T Bouwmans Abstract Semantic segmentation is a fundamental topic in computer vision. Several deep learning methods have been proposed for semantic segmentation with outstanding results. However, these models require a lot of densely annotated images. To address this problem, we propose a new algorithm that uses […]
Authors A Ferone, M Lazzaro, VM Scarrica, A Ciaramella and A Staiano Abstract Computing a reliable estimate of optical flow is a fundamental step in many computer vision applications, mainly based on the analysis of the motion of objects in the scene. Therefore, in recent years, many research applications have led to numerous solutions and […]
Authors F.Camastra, A.Casolaro and G.Iannuzzo Journal Neural Computing and Applications (Springer) Abstract The paper presents a novel manifold learning algorithm, the deep Gaussian process autoencoder (DPGA), based on deep Gaussian processes. Deep Gaussian process autoencoder algorithm has the following two main characteristics. The former is a bottleneck structure, borrowed by variational autoencoders and the latter […]
SE4I – Smart Energy Efficiency & Environment for Industry PON “Research and Innovation” 2014-2020 – Project ARS01_01137, Project title “SE4I – Smart Energy Efficiency & Environment for Industry”. The SE4I Project – Smart Energy Efficiency & Environment for Industry (Cod. ARS01_01137) – presented in response to the Public Notice Prot. n. 1735 of 13/07/2017 issued […]
May 31st 2021: In memory of our beloved Alfredo Petrosino To honor the memory of our beloved Professor Alfredo Petrosino who sadly passed away on May 31st, 2019, the University of Naples “Parthenope”, the Department of Science and Technologies, the Colleagues, the Friends, the Students, and the Family are proud to celebrate his remarkable legacy […]
Authors Vincenzo M Scarrica, Pietro PC Aucelli, Cosimo Cagnazzo, Angelo Casolaro, Pierpaolo Fiore, Marco La Salandra, Angela Rizzo, Giovanni Scardino, Giovanni Scicchitano and Antonino Staiano Journal Ecological Informatics (Elsevier) Abstract Beach litter monitoring programs play a key role in establishing effective management measures to preserve the ecological, scenic, and economic value of the coastal areas. […]
Authors F. Camastra, V. Capone, A. Ciaramella, A. Riccio and A. Staiano Journal Environmental Modelling & Software (Elsevier) Abstract Environmental time series are often affected by missing data, namely data unavailability at certain time points. This paper presents the Iterated Imputation and Prediction algorithm, that allows the prediction of time series with missing data. The […]