| VIALACTEA science gateway for Milky Way analysis. | 0 | 0.34 | 2019 |
| stellar formation rates in galaxies using machine learning models. | 0 | 0.34 | 2018 |
| Catalog of quasars from the Kilo-Degree Survey Data Release 3. | 1 | 0.35 | 2018 |
| Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case. | 0 | 0.34 | 2017 |
| Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground. | 0 | 0.34 | 2017 |
| Neural Gas Based Classification of Globular Clusters. | 0 | 0.34 | 2017 |
| The Astronomical Data Deluge: the Template Case of Photometric Redshifts. | 0 | 0.34 | 2017 |
| C3: A Command-line Catalogue Cross-matching tool for modern astrophysical survey data. | 0 | 0.34 | 2016 |
| METAPHOR: Probability density estimation for machine learning based photometric redshifts. | 0 | 0.34 | 2016 |
| Probability density estimation of photometric redshifts based on machine learning. | 0 | 0.34 | 2016 |
| Milky way analysis through a Science Gateway: workflows and resource monitoring. | 0 | 0.34 | 2016 |
| Integrated data access, visualization and analysis for Galactic Plane surveys: the VIALACTEA case. | 0 | 0.34 | 2016 |
| The Euclid Data Processing Challenges. | 0 | 0.34 | 2016 |
| Cooperative photometric redshift estimation. | 0 | 0.34 | 2016 |
| Feature Selection based on Machine Learning in MRIs for Hippocampal Segmentation. | 3 | 0.48 | 2015 |
| Machine learning based data mining for Milky Way filamentary structures reconstruction | 1 | 0.36 | 2015 |
| Genetic Algorithm Modeling with GPU Parallel Computing Technology | 4 | 0.41 | 2012 |
| The DAME/VO-Neural Infrastructure: an Integrated Data Mining System Support for the Science Community | 1 | 0.57 | 2011 |
| VOGCLUSTERS: an example of DAME web application | 0 | 0.34 | 2011 |
| Mining knowledge in astrophysical massive data sets | 2 | 0.54 | 2010 |
| DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration | 2 | 0.97 | 2010 |
