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ORLANDO, SALVATORE

ORLANDO, SALVATORE  

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI  

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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.
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
Manual annotation of semi-structured documents for entity-linking 1-gen-2014 Ceccarelli D.; Lucchese C.; Orlando S.; Perego R.; Trani S.