Publications

DAME Science Production

This page reports the complete list of downloadable publications related with DAME Project activities together with the list of the codified internal technical documentation of the project. Other documents (mainly referred to education and lectures) can be consulted here.

DAME Outreach and Citation Policy document

Scientific Papers and Contributions

Norris, Ray P.; Salvato, M.; Longo, G.; Brescia, M.; Budavari, T.; Carliles, S.; Cavuoti, S.; Farrah, D.; Geach, J.; Luken, K.; Musaeva, A.; Polsterer, K.; Riccio, G.; Seymour, N.; Smolčić, V.; Vaccari, M.; Zinn, P., 2019, A Comparison of Photometric Redshift Techniques for Large Radio Surveys, Submitted to PASP, arXiv:1902.05188

Delli Veneri, M., Cavuoti, S., Brescia, M., Longo, G., Riccio, G., 2019, Stellar Formation Rates for photometric samples of galaxies using machine learning methods, MNRAS, 486(1), 1377-1391

Nakoneczny, S., Bilicki, M., Solarz, A., Pollo, A., Maddox, N., Spiniello, C., Brescia, M., Napolitano N.R., 2019, Catalog of quasars from the Kilo-Degree Survey Data Release 3, A&A, 624(A13), 15 pp.

Amaro, Valeria; Cavuoti, Stefano; Brescia, Massimo; Vellucci, Civita; Longo, Giuseppe; Bilicki, Maciej; de Jong, Jelte T. A.; Tortora, Crescenzo; Radovich, Mario; Napolitano, Nicola R.; Buddelmeijer, Hugo; 2019, Statistical analysis of probability density functions for photometric redshifts through the KiDS-ESO-DR3 galaxies, MNRAS, 482 (3), 3116-3134

Tortora, C.; Napolitano, N. R.; Spavone, M.; La Barbera, F.; D'Ago, G.; Spiniello, C.; Kuijken, K. H.; Roy, N.; Raj, M. A.; Cavuoti, S.; Brescia, M.; Longo, G.; Pota, V.; Petrillo, C. E.; Radovich, M.; Getman, F.; Koopmans, L. V. E.; Trujillo, I.; Verdoes Kleijn, G.; Capaccioli, M.; Grado, A.; Covone, G.; Scognamiglio, D.; Blake, C.; Glazebrook, K.; Joudaki, S.; Lidman, C.; Wolf, C., 2018, The first sample of spectroscopically confirmed ultra-compact massive galaxies in the Kilo Degree Survey, MNRAS, 481 (4), 4728-4752

Roy, N.; Napolitano, N. R.; La Barbera, F.; Tortora, C.; Getman, F.; Radovich, M.; Capaccioli, M.; Brescia, M.; Cavuoti, S.; Longo, G.; Raj, M. A.; Puddu, E.; Covone, G.; Amaro, V.; Vellucci, C.; Grado, A.; Kuijken, K.; Verdoes Kleijn, G.; Valentijn, E., 2018, Evolution of galaxy size--stellar mass relation from the Kilo Degree Survey, MNRAS, 480, 1, 1057-1080

F. Vitello , E. Sciacca, U. Becciani, A. Costa, M. Bandieramonte, M. Benedettini, M. Brescia, R. Butora, S. Cavuoti, A. M. Di Giorgio, D. Elia, S. J. Liu, S. Molinari, M. Molinaro, G. Riccio, E. Schisano, and R. Smareglia, 2018, Vialactea Visual Analytics Tool for Star Formation Studies of the Galactic Plane, PASP, 130, 990 (12pp), August, doi.org/10.1088/1538-3873/aac5d2

Fu, Liping; Liu, Dezi; Radovich, Mario; Liu, Xiangkun; Pan, Chuzhong; Fan, Zuhui; Covone, Giovanni; Vaccari, Mattia; Amaro, Valeria; Brescia, Massimo; Capaccioli, Massimo; De Cicco, Demetra; Grado, Aniello; Limatola, Luca; Miller, Lance; Napolitano, Nicola R.; Paolillo, Maurizio; Pignata, Giuliano, 2018, Weak Lensing Study in VOICE Survey I: Shear Measurement, MNRAS, 479, 3, p.3858-3872

Brescia, Massimo; Cavuoti, Stefano; Amaro, Valeria; Riccio, Giuseppe; Angora, Giuseppe; Vellucci, Civita; Longo, Giuseppe, 2018, The astronomical data deluge and the template case of photometric redshifts, to appear in Springer's Communications in Computer and Information Science (CCIS), in press

Angora, Giuseppe; Brescia, Massimo; Cavuoti, Stefano; Riccio, Giuseppe; Paolillo, Maurizio; Puzia, Thomas H., 2018, Neural Gas based classification of Globular Clusters, to appear in Springer's Communications in Computer and Information Science (CCIS), in press

Inserra, C.; Nichol, R. C.; Scovacricchi, D.; Amiaux, J.; Brescia, M.; Burigana, C.; Cappellaro, E.; Carvalho, C. S.; Cavuoti, S.; Conforti, V.; Cuillandre, J.-C.; da Silva, A.; De Rosa, A.; Della Valle, M.; Dinis, J.; Franceschi, E.; Hook, I.; Hudelot, P.; Jahnke, K.; Kitching, T.; Kurki-Suonio, H.; Lloro, I.; Longo, G.; Maiorano, E.; Maris, M.; Rhodes, J. D.; Scaramella, R.; Smartt, S. J.; Sullivan, M.; Tao, C.; Toledo-Moreo, R.; Tereno, I.; Trifoglio, M.; Valenziano, L., 2018, Euclid: Superluminous supernovae in the Deep Survey, Astronomy & Astrophysics, Volume 609, id.A83, 12 pp.

Bilicki, M.; Hoekstra, H.; Amaro, V.; Blake, C.; Brown, M. J. I.; Cavuoti, S.; de Jong, J. T. A.; Hildebrandt, H.; Wolf, C.; Amon, A.; Brescia, M.; Brough, S.; Costa-Duarte, M. V.; Erben, T.; Glazebrook, K.; Grado, A.; Heymans, C.; Jarrett, T.; Joudaki, S.; Kuijken, K.; Longo, G.; Napolitano, N.; Parkinson, D.; Vellucci, C.; Verdoes Kleijn, G. A.; Wang, L, 2018, Photometric redshifts for the Kilo-Degree Survey. Machine-learning analysis with artificial neural networks, Astronomy & Astrophysics, Volume 616, id.A69, 22 pp.

de Jong, Jelte T. A.; Kleijn, Gijs A. Verdoes; Erben, Thomas; Hildebrandt, Hendrik; Kuijken, Konrad; Sikkema, Gert; Brescia, Massimo; Bilicki, Maciej; Napolitano, Nicola R.; Amaro, Valeria; Begeman, Kor G.; Boxhoorn, Danny R.; Buddelmeijer, Hugo; Cavuoti, Stefano; Getman, Fedor; Grado, Aniello; Helmich, Ewout; Huang, Zhuoyi; Irisarri, Nancy; La Barbera, Francesco; Longo, Giuseppe; McFarland, John P.; Nakajima, Reiko; Paolillo, Maurizio; Puddu, Emanuella; Radovich, Mario; Rifatto, Agatino; Tortora, Crescenzo; Valentijn, Edwin A.; Vellucci, Civita; Vriend, Willem-Jan; Amon, Alexandra; Blake, Chris; Choi, Ami; Conti, Ian Fenech; Gwyn, Stephen D. J.; Herbonnet, Ricardo; Heymans, Catherine; Hoekstra, Henk; Klaes, Dominik; Merten, Julian; Miller, Lance; Schneider, Peter; Viola, Massimo, 2017, The third data release of the Kilo-Degree Survey and associated data products, Astronomy & Astrophysics, Volume 604, id.A134, 26 pp.

Riccio, G.; Brescia, M.; Cavuoti, S.; Mercurio, A.; Di Giorgio, A.M.; Molinari, S., 2017, C3, A Command-line Catalogue Cross-match tool for large astrophysical catalogues, PASP, 129, 972, 16pp.

Cavuoti, S., Amaro, V., Brescia, M., Vellucci, C., Tortora, C., Longo, G., 2017, METAPHOR: A machine learning based method for the probability density estimation of photometric redshifts, MNRAS, 465, 2, 1959-1973.

Cavuoti, S., Tortora, C., Brescia, M., Longo, G., Radovich, M., Napolitano, N., Amaro, V., Vellucci, C., La Barbera, F., Getman, F., Grado, A., 2016, A cooperative approach among methods for photometric redshifts estimation: an application to KiDS data, MNRAS, 466, 2, 2039-2053.

Elia, D., Molinari, S., Schisano, E., ..., Brescia, M., Cavuoti, S., Mercurio, A., Riccio, G., et al., 2016, The Hi-GAL compact source catalog. I. The physical properties of the clumps in the inner Galaxy (-71.0° < l < 67.0°), MNRAS, vol. 471, p. 100-143.

D'Isanto, A., Cavuoti, S., Brescia, M., Donalek, C., Longo, G., Riccio, G., Djorgovski, S.G., 2016. An analysis of feature relevance in the classification of astronomical transients with machine learning methods. MNRAS, 457, 3, 3119-3132

C. Tortora, F. La Barbera, N.R. Napolitano, N. Roy, M. Radovich, S. Cavuoti, M. Brescia, G. Longo, F. Getman, M. Capaccioli, Grado L., Kuijken K.H., de Jong J.T.A., McFarland J.P., 2016. Towards a census of super-compact massive galaxies in the Kilo Degree Survey. MNRAS, 457, 3, 2845-2854

Annunziatella, M.; Mercurio, A.; Biviano, A.; Girardi, M.; Nonino, M.; Balestra, I.; Rosati, P.; Bartosch Caminha, G.; Brescia, M.; Gobat, R.; Grillo, C.; Lombardi, M.; Sartoris, B.; De Lucia, G.; Demarco, R.; Frye, B.; Fritz, A.; Moustakas, J.; Scodeggio, M.; Kuchner, U.; Maier, C.; Ziegler, B., 2016. CLASH-VLT: Environment-driven evolution of galaxies in the z=0.209 cluster Abell 209. A&A, 585, A160, 17 pp.

Brescia, M., Cavuoti, S., Esposito, F., Fiore, M., Garofalo, M., Guglielmo, M., Longo, G., Manna, F., Nocella, A., Vellucci, C., 2016. DAMEWARE - Data Mining & Exploration Web Application Resource. eprint arXiv:1603.00720, User Manual of the DAMEWARE Web Application, 51 pages

Cavuoti, S., Brescia, M., De Stefano, V., Longo, G., 2016. PhotoRaptor - Photometric Research Application To Redshifts. eprint arXiv:1602.05408, User Manual of the PhotoRaptor tool, 54 pages

D. Masters, P. Capak, D. Stern, O. Ilbert, M. Salvato, S. Schmidt, G. Longo, J. Rhodes, S. Paltani, B. Mobasher, H. Hoekstra, H. Hildebrandt, J. Coupon, C. Steinhardt, J. Speagle, A. Faisst, A. Kalinich, M. Brodwin, M. Brescia, S. Cavuoti, 2015. Mapping the galaxy color-redshift relation: optimal photometric redshift calibration strategies for cosmology surveys. ApJ, 813, 1, 53

A. Mercurio, P. Merluzzi, G. Busarello, A. Grado, L. Limatola, C. P. Haines, M. Brescia, S. Cavuoti, M. Dopita, M. Dall'Ora, M. Capaccioli, N. Napolitano, K. A. Pimbblet, 2015. Shapley Supercluster Survey: Construction of the Photometric Catalogues and i-band Data Release. MNRAS, 453, 4, 3685-3698

J. T. A. de Jong, G. A. Verdoes Kleijn, D. R. Boxhoorn, H. Buddelmeijer, M. Capaccioli, F. Getman, A. Grado, E. Helmich, Z. Huang, N. Irisarri, K. Kuijken, F. LaBarbera, J. P. McFarland, N. R. Napolitano, M. Radovich, G. Sikkema, E. A. Valentijn, K. G. Begeman, M. Brescia, S. Cavuoti, A. Choi, O.M. Cordes, G. Covone, M. Dall'Ora, H. Hildebrandt, G. Longo, R. Nakajima, M. Paolillo, E. Puddu, A. Rifatto, C. Tortora, E. van Uitert, A. Buddendiek, J. Harnois-Deraps, T. Erben, M. B. Eriksen, C. Heymans, H. Hoekstra, B. Joachimi, T. D. Kitching, D. Klaes, L. V. E. Koopmans, F. Kohlinger, N. Roy, C. Sifon, P. Schneider, W. J. Sutherland, M. Viola, W.J. Vriend, 2015. The first and second data releases of the Kilo-Degree Survey. A&A, 582, A62

S. Cavuoti, M. Brescia, C. Tortora, G. Longo, N. R. Napolitano, M. Radovich, F. La Barbera, M. Capaccioli, J. de Jong, F. Getman, A. Grado, M. Paolillo, 2015. Machine Learning based photometric redshifts for the KiDS ESO DR2 galaxies. MNRAS, 452, 3, 3100-3105

Brescia M., Cavuoti S., Longo G., 2015. Automated physical classification in the SDSS DR10. A catalogue of candidate Quasars. MNRAS, 450, 4, 3893-3903

Girardi M., Mercurio A., Balestra I., Nonino M., Biviano A., Grillo C., Rosati P., Annunziatella M., Demarco R., Fritz A., Gobat R., Lemze D., Presotto V., Scodeggio M., Tozzi P., Bartosch Caminha G., Brescia M., et al., 2015. CLASH-VLT: Substructure in the galaxy cluster MACS J1206.2-0847 from kinematics of galaxy populations *. A&A, 579, A4

Cavuoti S., 2015. Data-Rich Astronomy: Mining Synoptic Sky Surveys. LAMBERT Academic Publishing, ISBN: 978-3-659-68311-4, 260pp.

Cavuoti S., Brescia M., De Stefano V., Longo G., 2015. Photometric redshift estimation based on data mining with PhotoRApToR. Experimental Astronomy, Springer, Vol. 39, Issue 1, 45-71. Online article

Tangaro S., Amoroso N., Brescia M., Cavuoti S., Chincarini A., Errico R., Inglese P., Longo G., Maglietta R., Tateo A., Riccio G., Bellotti R., 2015. Feature Selection based on Machine Learning in MRIs for Hippocampal Segmentation. Computational and Mathematical Methods in Medicine, Hindawi Publishing Corporation, Vol. 2015, 814104, 10 pages

Astier P., Balland C., Brescia M., Cappellaro E., Carlberg R.G., Cavuoti S., Della Valle M., Gangler E., Goobar A., Guy J., Hardin D., Hook I.M., Kessler R., Kim A., Linder E., Longo G., Maguire K., Mannucci F., Mattila S., Nichol R., Pain R., Regnault N., Spiro S., Sullivan M., Tao C., Turatto M., Wang X.F., Wood-Vasey W.M., 2014. Extending the Supernova Hubble diagram to z~1.5 with the Euclid space mission. A&A, Vol. 572, A80, 20pp. (December 2014)

Annunziatella M., A. Biviano, A. Mercurio, M. Nonino, P. Rosati, I. Balestra, V. Presotto, M. Girardi, R. Gobat, C. Grillo, E. Medezinski, D. Kelson, M. Postman, M. Brescia, B. Sartoris, R. De Marco, A. Koekemoer, D. Lemze, L. Bradley, U. Kuchner, E. Regos, K. Umetsu, B. Ziegler, 2014. CLASH-VLT: The stellar mass function and stellar mass density profile of the z=0.44 cluster of galaxies MACS J1206.2-0847. A&A, Vol. 571, A80, 15pp. (November 2014)

Brescia, M.; Cavuoti, S.; Longo, G.; De Stefano, V.; 2014, A catalogue of photometric redshifts for the SDSS-DR9 galaxies, A&A, Vol. 568, A126, 7 pages

Brescia, M.; Cavuoti, S.; Longo, G.; Nocella, A.; Garofalo, M.; Manna, F.; Esposito, F.; Albano, G.; Guglielmo, M.; D'Angelo, G.; Di Guido, A.; Djorgovski, G.S.; Donalek, C.; Mahabal, A.A.; Graham, M.J.; Fiore, M.; D'Abrusco, R.; 2014, DAMEWARE: A web cyberinfrastructure for astrophysical data mining, PASP, Vol. 126, 942, pp. 783-797

V. Presotto, M. Girardi, M. Nonino, A. Mercurio, C. Grillo, P. Rosati, A. Biviano, M. Annunziatella, I. Balestra, W. Cui, B. Sartoris, D. Lemze, B. Ascaso, J. Moustakas, H. Ford, O. Czoske, S. Ettori, A. Fritz, U. Kuchner, M. Lombardi, C. Maier, E. Medezinski, M. Scodeggio, V. Strazzullo, P. Tozzi, B. Ziegler, M. Bartelmann, N. Benitez, L. Bradley, M. Brescia, et al.; 2014, Intra Cluster Light properties in the CLASH cluster MACS J1206.2-0847, A&A, Vol. 565, A126, 17 pages, arXiv available

Cavuoti, S.; Brescia, M.; D'Abrusco, R.; Longo, G.; Paolillo, M.; 2014, Photometric classification of emission line galaxies with Machine Learning methods, Monthly Notices of the Royal Astronomical Society, Volume 437, Issue 1, p.968-975

Cavuoti, S.; Garofalo, M.; Brescia, M.; Paolillo, M; Pescape', A.; Longo, G.; Ventre, G., 2014, Astrophysical data mining with GPU. A case study: genetic classification of globular clusters, New Astronomy, Vol. 26, pp. 12-22, Elsevier

Brescia, M.; Cavuoti, S.; D'Abrusco, R.; Longo, G.; Mercurio, A.; 2013, Photometric redshifts for Quasars in multi band Surveys, ApJ 772, 2, 140

A. Biviano, P. Rosati, I. Balestra, A. Mercurio, M. Girardi, M. Nonino, C. Grillo, M. Scodeggio, D. Lemze, D. Kelson, K. Umetsu, M. Postman, A. Zitrin, O. Czoske, S. Ettori, M. Lombardi, E. Medezinski, S. Mei, V. Presotto, P. Tozzi, B. Ziegler, M. Annunziatella, M. Bartelmann, N. Benitez, L. Bradley, M. Brescia, et al.; 2013, CLASH-VLT: The mass, velocity-anisotropy, and pseudo-phase-space density profiles of the z = 0.44 galaxy cluster MACS 1206.2-0847, A&A, vol. 558, A1, 22 pp.

Brescia, M.; Longo, G., 2013, Astroinformatics, data mining and the future of astronomical research. Nuclear Inst. and Methods in Physics Research, A, Vol. 720, pp. 92-94

Annunziatella, M.; Mercurio, A.; Brescia, M.; Cavuoti, S.; Longo, G.; 2013, Inside catalogs: a comparison of source extraction software, PASP, Vol. 125, Nr. 923, pp. 68-82

Cavuoti, S.; Brescia, M.; Longo, G.; Mercurio, A.; 2012, Photometric Redshifts with Quasi Newton Algorithm (MLPQNA). Results in the PHAT1 Contest, A&A, Vol. 546, A13, pp. 1-8

Brescia, M.; Cavuoti, S.; Paolillo, M.; Longo, G.; Puzia, T.; 2012, The detection of Globular Clusters in galaxies as a data mining problem, Monthly Notices of the Royal Astronomical Society, Volume 421, Issue 2, pp. 1155-1165, available at arXiv:1110.2144v1

Brescia, M.; 2011, New Trends in E-Science: Machine Learning and Knowledge Discovery in Databases, Contribution to the Volume Horizons in Computer Science Research, Editors: Thomas S. Clary, Series Horizons in Computer Science, ISBN: 978-1-61942-774-7, available at Nova Science Publishers

Brescia M., Cavuoti, S., Djorgovski, G.S., ,Donalek, C., Longo, G.,,Paolillo, M., 2011, Extracting knowledge from massive astronomical data sets, arXiv:1109.2840v1, to appear in Astrostatistics and data mining in large astronomical databases, L.M. Barrosaro et al. eds, Springer Series on Astrostatistics, 15 pages

Brescia, M.; Longo, G.; Djorgovski, G. S.; Cavuoti, S.; D'Abrusco, R.; Donalek, C.; Di Guido, A.; Fiore, M.; Garofalo, M.; Laurino, O.; Mahabal, A.; Manna, F.; Nocella, A.; d'Angelo, G.; Paolillo, M.; 2010, DAME: A Web Oriented Infrastructure for Scientific Data Mining & Exploration, 2010arXiv1010.4843B, 16 pages, 9 figures

D'Abrusco, R.; Longo, G.; Walton, N.A.; 2009, Quasar candidate selection in the Virtual Observatory era, MNRAS, 396, 223-262

D'Abrusco, R.; Staiano, A.; Longo, G.; Brescia, M.; De Filippis, E.; Paolillo, M.; Tagliaferri, R.; 2007, Mining the SDSS data. I. Photometric redshifts for the nearby universe, ApJ., 663, 752-764

Refeered and conference proceedings

delli Veneri Michele, Cavuoti Stefano, Brescia Massimo, Riccio Giuseppe, Longo Giuseppe, (in press). Stellar formation rates in galaxies using Machine Learning models. In: ESANN 2018 - Proceedings, ISBN-13 9782875870483

Angora Giuseppe, Brescia Massimo, Riccio Giuseppe, Cavuoti Stefano, Paolillo Maurizio, Puzia Thomas H (in press). Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground. In: Data Analytics and Management in Data Intensive Domains. CEUR WORKSHOP PROCEEDINGS, ISSN: 1613-0073, Moscow, Russia, 10-13 October 2017

Becciani Ugo, Bandieramonte Marilena, Brescia M, Butora Robert, Cavuoti Stefano, Costa Alessandro, Giorgio Anna Maria, Elia Davide, Hajnal Akos, Kacsuk Peter, Liu Scige John, Mercurio Amata, Molinari Sergio, Molinaro Marco, Riccio Giuseppe, Schisano Eugenio, Sciacca Eva, Smareglia Riccardo, Vitello Fabio (in stampa). Advanced Environment for Knowledge Discovery in the VIALACTEA Project. In: Proceedings of ADASS 2015. ASTRONOMICAL SOCIETY OF THE PACIFIC CONFERENCE SERIES, ISSN: 1050-3390, Sydney, Australia, 25-30 October

M. Brescia, S. Cavuoti, T. Fredvik, S. Vidar Hagfors Haugan, G. Gozaliasl, C. Kirkpatrick, H. Kurki-Suonio, G. Longo, K. Nilsson, M. Wiesmann, 2016 (in press). The design strategy of scientific data quality control software for Euclid mission. Proceedings of ADASS 2016, Astronomical Society of the Pacific (ASP) Conference Series

G. Riccio, M. Brescia, S. Cavuoti, A. Mercurio, A. M. Di Giorgio, S. Molinari, 2016 (in press). A Command-line Cross-matching tool for modern astrophysical pipelines. Proceedings of ADASS 2016, Astronomical Society of the Pacific (ASP) Conference Series

M. Molinaro, R. Butora, M. Bandieramonte, U. Becciani, M. Brescia, S. Cavuoti, A. Costa, A. M. Di Giorgio, D. Elia, A. Hajnal, H. Gabor, P. Kacsuk, S. J. Liu, S. Molinari, G. Riccio, E. Schisano, E. Sciacca, R. Smareglia, F. Vitello, 2016 (in press). VIALACTEA knowledge base: homogenizing access to Milky Way data. Software and Cyberinfrastructure for Astronomy IV Conference, Proceedings of SPIE Astronomical Telescopes + Instrumentation 2016, Vol. 9913, 17, June 26-30, Edinburgh, Scotland, GB

Becciani, U.; Bandieramonte, M.; Brescia, M.; Butora, R.; Cavuoti, S.; Costa, A.; di Giorgio, A.M.; Elia, D.; Hajnal, A.; Kacsuk, P.; Liu, Scige J.; Mercurio, A.; Molinari, S.; Molinaro, M.; Riccio, G.; Schisano, E.; Sciacca, E.; Smareglia, R.; Vitello, F., 2016. Advanced Environment for Knowledge Discovery in the VIALACTEA Project. Accepted by peer reviewed Astronomical Data Analysis Software and Systems XXV. Proceedings of the Conference, October 25-30, Sidney, Australia

Riccio G., Cavuoti S., Schisano E., Brescia M., Mercurio A., Elia D., Benedettini M., Pezzuto S., Molinari S., Di Giorgio A.M., 2015 (in press). Machine learning based data mining for Milky Way filamentary structures reconstruction. Accepted by peer reviewed WIRN 2015 Conference, to appear on Smart Innovation, Systems and Technology, Springer, ISSN 2190-3018, 9 pages, 4 figures, IIASS Vietri sul Mare, Italy, May 20-22, 2015, arXiv:1505.06621 (talk slides available)

Mercurio A., Annunziatella M., Biviano A., Nonino M., Rosati P., Balestra I., Brescia M., Girardi M., Gobat R., Grillo C., Lombardi M., Sartoris B., and the CLASH-VLT team 2015 (in press). Luminosity functions in the CLASH-VLT cluster MACS J1206.2-0847: the importance of tidal interactions. In: Proceedings of the 2014 Conference on The Universe of Digital Sky Survey, Astrophysics and Space Science Proceedings Series, Springer, ISSN 1570-6591, Naples, Italy, November 24-28, 2014

Tortora C., Napolitano N.R., La Barbera F., Roy N., Radovich M., Getman F., Capaccioli M., Longo G., Brescia M., Cavuoti S., and the KiDS Collaboration 2015 (in press). Galaxy evolution within the Kilo-Degree Survey. In: Proceedings of the 2014 Conference on The Universe of Digital Sky Survey, Astrophysics and Space Science Proceedings Series, Springer, ISSN 1570-6591, Naples, Italy, November 24-28, 2014

Longo G., Brescia M., Djorgovski G.S., Donalek C., Cavuoti S., 2014 (in press). Data driven discovery in Astrophysics. In: In: Proceedings of the 2014 Conference on Big Data from Space 2014 (BiDS 14). Scientific and Technical Research Series, ISSN 1831-9424, Eds. P. Soille and P.G. Marchetti, Office of European Union, Frascati, Italy, November 12-14 2014

Cavuoti S., Brescia M., Longo G., 2014 (in press). Data-Rich Astronomy: Mining Sky Surveys with PhotoRApToR. In: Statistical Challenges in Cosmology in the 21st Century. PROCEEDINGS OF THE INTERNATIONAL ASTRONOMICAL UNION SYMPOSIUM, Vol 306, Cambridge University Press, Lisbon, Portugal, May 2014

Cavuoti, S.; Brescia, M.; Longo, G., 2012, Data mining and Knowledge Discovery Resources for Astronomy in the Web 2.0 Age, Proceedings of SPIE Astronomical Telescopes and Instrumentation 2012, Software and Cyberinfrastructure for Astronomy II, Ed.(s): N. M. Radziwill and G. Chiozzi, Volume 8451, RAI Amsterdam, Netherlands, July 1-4

Cavuoti, S.; Garofalo, M.; Brescia, M.; Pescape', A.; Longo, G.; Ventre, G., 2012, Genetic Algorithm Modeling with GPU Parallel Computing Technology, 22nd WIRN, Italian Workshop on Neural Networks, Vietri sul Mare, Salerno, Italy, May 17-19

Brescia, M.; Longo, G.; Castellani, M.; Cavuoti, S.; D'Abrusco, R.; Laurino, O., 2012, DAME: A Distributed Web Based Framework for Knowledge Discovery in Databases, 54th SAIT Conference, Astronomical Observatory of Capodimonte, Napoli, Italy, May 6, Mem. S.A.It. Suppl. Vol. 19, 324

Djorgovski, S. G.; Longo, G., Brescia, M., Donalek, C., Cavuoti, S., Paolillo, M., D'Abrusco, R., Laurino, O., Mahabal, A., Graham, M., 2012, DAta Mining and Exploration (DAME): New Tools for Knowledge Discovery in Astronomy. American Astronomical Society, AAS Meeting #219, #145.12, Tucson, USA, January 08-12

Schipani, P.; Capaccioli, M.; D'Orsi, S.; Marcozzi, C.; Marty, L.; Fierro, D.; Arcidiacono, C.; Farinato, J.; Magrin, D.; Ragazzoni, R.; Umbriaco, G.; Brescia, M.; Molfese, C.; Perrotta, F.; Ferragina, L., 2012, VST: the telescope progress toward stars. Memorie della Societa Astronomica Italiana Supplement, v.19, p.393

Castellani, M.; Brescia, M.; Mancini, E.; Pellecchia, L.; Longo, G.; 2011, VOGCLUSTERS: an example of DAME web application, Proceedings of "Advances in Computational Astrophysics: methods, tools and outcomes" (Cefalu, Sicily, June 2011). To be published on ASP Conference Series, 4 pages

Pasian, F.; Brescia, M.; Longo, G.; 2012, Astronomical Images and Data Mining in the International Virtual Observatory Context, Science - Image in Action. Edited by Bertrand Zavidovique (Universite' Paris-Sud XI, France) and Giosue' Lo Bosco (University of Palermo, Italy) . Published by World Scientific Publishing Co. Pte. Ltd., 2012. ISBN 9789814383295, pp. 230-240

Cavuoti, S.; Brescia, M.; Longo, G.; Garofalo, M.; Nocella, A.; 2012, DAME: A Web Oriented Infrastructure for Scientific Data Mining and Exploration, Science - Image in Action. Edited by Bertrand Zavidovique (Universite' Paris-Sud XI, France) and Giosue' Lo Bosco (University of Palermo, Italy) . Published by World Scientific Publishing Co. Pte. Ltd., 2012. ISBN 9789814383295, pp. 241-247

Brescia, M.; Cavuoti, S.; D'Abrusco, R.; Laurino, O.; Longo, G.; 2010, DAME: A Distributed Data Mining & Exploration Framework within the Virtual Observatory, INGRID 2010 Workshop on Instrumenting the GRID, Poznan, Poland, in Remote Instrumentation for eScience and Related Aspects, F. Davoli et al. (eds.), Springer Science+Business Media, LLC 2011, DOI 10.1007/978-1-4614-0508-5_17

Brescia, M.; Longo, G.; Pasian, F.; 2009, Mining knowledge in Astrophysical Massive Data Sets, Nuclear Instruments and Methods in Physics Research A, NIMA Elsevier Journal, Vol. 51067 (in press), ENEA Laboratori Nazionali di Frascati, International Conference on Frontiers in Diagnostic Technologies, Roma, Italy, November 25-27

Laurino, O.; D'Abrusco, R.; Brescia, M.; Cavuoti, S.; Corazza, A.; d'Angelo, G.; Donalek, C.; Djorgovski, S.G.; Deniskina, N.; Fiore, M.; Garofalo, M.; Longo, G.; Mahabal, A.; Manna, F.; Nocella, A.; Skordovski, B.; 2009, A web application for photometric redshift estimation, FINAL WORKSHOP OF GRID PROJECTS, PON RICERCA 2000-2006, AVVISO 1575, Catania, Italy

Brescia, M.; Corazza, A.; Cavuoti, S.; d'Angelo, G.; D'Abrusco, R.; Donalek, C.; Djorgovski, S.G.; Deniskina, N.; Fiore, M.; Garofalo, M.; Laurino, O.; Longo, G.; Mahabal, A.; Manna, F.; Nocella, A.; Skordovski, B.; 2009; The DAME/VO-Neural infrastructure: an integrated data mining system support for the science community, FINAL WORKSHOP OF GRID PROJECTS, PON RICERCA 2000-2006, AVVISO 1575, Catania, Italy

Brescia, M.; Cavuoti, S.; d'Angelo, G.; D'Abrusco, R.; Donalek, C.; Deniskina, N.; Laurino, O.; Longo, G.; 2009, Astrophysics in S.Co.P.E., Mem. S.A. It. Suppl. Vol 13, p. 56

Brescia, M.; Cavuoti, S.; d'Angelo, G.; D'Abrusco, R.; Deniskina, N.; Garofalo, M.; Laurino, O.; Longo, G.; Nocella, A.; Skordovski, B.; 2008, The VO-Neural project: recent developments and applications, Proceedings of the ESO-GRID workshop, Mem. SAIt, Munich, Germany

Deniskina, N.; Brescia, M.; Cavuoti, S.; d'Angelo, G.; 2008, GRID-Launcher v 1.0, Proceedings of the ESO-GRID workshop, Mem. Sait., Munich, Germany

D'Abrusco, R.; Longo, G.; Paolillo, M.; De Filippis, E.; Brescia, M.; Staiano, A.; Tagliaferri, R.; 2007, The use of neural networks to probe the structure of the nearby universe, Proccedings of the first workshop of astronomy and astrophysics for students, ed. M. Paolillo, INFN, Italy

D'Abrusco, R.; Longo, G.; Paolillo, M.; Brescia, M.; De Filippis E.; Staiano, A.; Tagliaferri R.; 2006, The use of neural networks to probe the structure of the nearby universe, Proceedings of the ADA-IV (Astronomical Data Analysis IV), September, 18-20, Marseille, France

D'Abrusco, R.; Longo, G.; Staiano, A.; De Filippis, E.; Paolillo, M.; Brescia, M.; 2006, Steps towards a map of the nearby universe, NOW - 2006 (Neutrino Oscillation Workshop - 2006, Conca Specchiulla, 9-16 September 2006, Fogli R. et al. eds, to appear in Nucl. Phys. B

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