19 citations · 26 across the 6 of their papers we have counts for
6 papers
Assessing your Observatory's Impact: Best Practices in Establishing and Maintaining Observatory Bibliographies
Observatory Bibliographers Collaboration, Raffaele D'Abrusco, Monique Gomez +13
Observatories need to measure and evaluate the scientific output and overall impact of their facilities. An observatory bibliography consists of the papers published using that obs…
The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community
M. Brescia, A. Corazza, S. Cavuoti +12
Astronomical data are gathered through a very large number of heterogeneous techniques and stored in very diversified and often incompatible data repositories. Moreover in the e-sc…
Scientific requirements of the VAO SED tool
Raffaele D'Abrusco, Jonathan McDowell, the VAO SED team
This document describes the scientific requirements for the SED builder and analysis tool that will be designed and built by the US Virtual Astronomical Observatory (VAO). VAO is t…
The Properties of the Heterogeneous Shakhbazyan Groups of Galaxies in the SDSS
D. Capozzi, E. De Filippis, M. Paolillo +2
We present a systematic study of the sub-sample of Shakhbazyan groups (SHKs) covered by the Sloan Digital Sky Survey Data Release--5 (SDSS-5). SHKs probe an environment with charac…
The VO-Neural project: recent developments and some applications
M. Brescia, S. Cavuoti, G. d'Angelo +7
VO-Neural is the natural evolution of the Astroneural project which was started in 1994 with the aim to implement a suite of neural tools for data mining in astronomical massive da…
Steps towards a map of the nearby universe
R. d'Abrusco, G. Longo, A. Staiano +3
We present a new analysis of the Sloan Digital Sky Survey data aimed at producing a detailed map of the nearby (z < 0.5) universe. Using neural networks trained on the available sp…