ORLANDO, SALVATORE
ORLANDO, SALVATORE
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Comparison of the impact of ships to size-segregated particle concentrations in two port cities in northern Adriatic Sea
2020 Eva Merico; Marianna Conte; Fabio Massimo Grasso; Daniela Cesari; Andrea Gambaro; Elisa Morabito; Elena Gregoris; Salvatore Orlando; Ana AlebicJuretic; Velimir Zubak; Boris Mifka; Daniele Contini
Parallel Traversal of Large Ensembles of Decision Trees
2019 Lettich, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Tonellotto, N; Venturini, R
Analysing trajectories of mobile users: from data warehouses to recommender systems
2018 Nardini, Fm; Orlando, S; Perego, R; Raffaetà, A; Renso, C; Silvestri, C
Selective gradient boosting for effective learning to rank
2018 Lucchese, C; Nardini, F M; Perego, R; Orlando, S; Trani, S
X-CLEaVER: Learning ranking ensembles by growing and pruning trees
2018 Lucchese C.; Nardini F. M.; Orlando S.; Perego R.; Silvestri F.; Trani S.
Manycore GPU processing of repeated range queries over streams of moving objects observations
2017 Lettich, Francesco; Orlando, Salvatore; Silvestri, Claudio; Jensen, Christian S.
Multicore/Manycore parallel traversal of large forests of regression trees
2017 Lettich, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Tonellotto, N; Venturini, R
QuickScorer: efficient traversal of large ensembles of decision trees
2017 Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Tonellotto N.; Venturini R.
X-DART: blending dropout and pruning for efficient learning to rank
2017 Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Trani, S
Improve ranking efficiency by optimizing tree ensembles
2016 Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Silvestri F.; Trani S.
A method to rank documents by a computer, using additive ensembles of regression trees and cache optimisation, and search engines using such a method
2015 Dato, D; Lucchese, C; Nardini, F M; Orlando, S; Perego, R; Tonellotto, N; Venturini, R
Electoral predictions with Twitter: a machine-learning approach
2015 Coletto, M; Lucchese, C; Orlando, S; Perego, R
QuickRank: A C++ suite of learning to rank algorithms
2015 Capannini, G; Dato, D; Lucchese, C; Mori, M; Nardini, Fm; Orlando, S; Perego, R; Tonellotto, N
QuickScorer: a fast algorithm to rank documents with additive ensembles of regression trees
2015 Lucchese C.; Nardini F. M.; Orlando S.; Perego R.; Tonellotto N.; Venturini R.
Speeding up document ranking with rank-based features
2015 Lucchese C.; Nardini F. M.; Orlando S.; Perego R.; Tonellotto N.
Twitter for election forecasts: a joint machine learning and complex network approach applied to an italian case study
2015 Coletto, M; Lucchese, C; Orlando, S; Perego, R; Chessa, A; Puliga, M
Twitter for election forecasts: a joint machine learning and complex network approach applied to an italian case study
2015 Coletto M.; Lucchese C.; Orlando S.; Perego R.; Chessa A.; Puliga M.
A general framework for trajectory data warehousing and visual OLAP
2014 Leonardi L.; Orlando S.; Raffaetà A.; Roncato A.; Silvestri C.; Andrienko G.; Andrienko N.
Dexter 2.0 - an open source tool for semantically enriching data
2014 Ceccarelli, D; Lucchese, C; Orlando, S; Perego, R; Trani, S
GPU-based computing of repeated range queries over moving objects
2014 Orlando, S; Francesco, L; Silvestri, C; Jensen, C S
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Comparison of the impact of ships to size-segregated particle concentrations in two port cities in northern Adriatic Sea | 1-gen-2020 | Eva Merico; Marianna Conte; Fabio Massimo Grasso; Daniela Cesari; Andrea Gambaro; Elisa Morabito; Elena Gregoris; Salvatore Orlando; Ana AlebicJuretic; Velimir Zubak; Boris Mifka; Daniele Contini | |
Parallel Traversal of Large Ensembles of Decision Trees | 1-gen-2019 | Lettich, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Tonellotto, N; Venturini, R | |
Analysing trajectories of mobile users: from data warehouses to recommender systems | 1-gen-2018 | Nardini, Fm; Orlando, S; Perego, R; Raffaetà, A; Renso, C; Silvestri, C | |
Selective gradient boosting for effective learning to rank | 1-gen-2018 | Lucchese, C; Nardini, F M; Perego, R; Orlando, S; Trani, S | |
X-CLEaVER: Learning ranking ensembles by growing and pruning trees | 1-gen-2018 | Lucchese C.; Nardini F. M.; Orlando S.; Perego R.; Silvestri F.; Trani S. | |
Manycore GPU processing of repeated range queries over streams of moving objects observations | 1-gen-2017 | Lettich, Francesco; Orlando, Salvatore; Silvestri, Claudio; Jensen, Christian S. | |
Multicore/Manycore parallel traversal of large forests of regression trees | 1-gen-2017 | Lettich, F; Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Tonellotto, N; Venturini, R | |
QuickScorer: efficient traversal of large ensembles of decision trees | 1-gen-2017 | Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Tonellotto N.; Venturini R. | |
X-DART: blending dropout and pruning for efficient learning to rank | 1-gen-2017 | Lucchese, C; Nardini, Fm; Orlando, S; Perego, R; Trani, S | |
Improve ranking efficiency by optimizing tree ensembles | 1-gen-2016 | Lucchese C.; Nardini F.M.; Orlando S.; Perego R.; Silvestri F.; Trani S. | |
A method to rank documents by a computer, using additive ensembles of regression trees and cache optimisation, and search engines using such a method | 1-gen-2015 | Dato, D; Lucchese, C; Nardini, F M; Orlando, S; Perego, R; Tonellotto, N; Venturini, R | |
Electoral predictions with Twitter: a machine-learning approach | 1-gen-2015 | Coletto, M; Lucchese, C; Orlando, S; Perego, R | |
QuickRank: A C++ suite of learning to rank algorithms | 1-gen-2015 | Capannini, G; Dato, D; Lucchese, C; Mori, M; Nardini, Fm; Orlando, S; Perego, R; Tonellotto, N | |
QuickScorer: a fast algorithm to rank documents with additive ensembles of regression trees | 1-gen-2015 | Lucchese C.; Nardini F. M.; Orlando S.; Perego R.; Tonellotto N.; Venturini R. | |
Speeding up document ranking with rank-based features | 1-gen-2015 | Lucchese C.; Nardini F. M.; Orlando S.; Perego R.; Tonellotto N. | |
Twitter for election forecasts: a joint machine learning and complex network approach applied to an italian case study | 1-gen-2015 | Coletto, M; Lucchese, C; Orlando, S; Perego, R; Chessa, A; Puliga, M | |
Twitter for election forecasts: a joint machine learning and complex network approach applied to an italian case study | 1-gen-2015 | Coletto M.; Lucchese C.; Orlando S.; Perego R.; Chessa A.; Puliga M. | |
A general framework for trajectory data warehousing and visual OLAP | 1-gen-2014 | Leonardi L.; Orlando S.; Raffaetà A.; Roncato A.; Silvestri C.; Andrienko G.; Andrienko N. | |
Dexter 2.0 - an open source tool for semantically enriching data | 1-gen-2014 | Ceccarelli, D; Lucchese, C; Orlando, S; Perego, R; Trani, S | |
GPU-based computing of repeated range queries over moving objects | 1-gen-2014 | Orlando, S; Francesco, L; Silvestri, C; Jensen, C S |