ORLANDO Salvatore

Qualifica
Professore Ordinario
Incarichi
Direttore dipartimento
Telefono
041 234 8428
E-mail
orlando@unive.it
borse.generali@unive.it - Bando borse Generali4Girls in STEM
call-cs.dais@unive.it - Call for Faculty Positions - CS
SSD
INFORMATICA [INF/01]
Sito web
www.unive.it/persone/orlando (scheda personale)
 http://www.dsi.unive.it/~orlando
Struttura
Dipartimento di Scienze Ambientali, Informatica e Statistica (Direttore Dipartimento)
Sito web struttura: https://www.unive.it/dais
Sede: Campus scientifico via Torino (edificio Alfa)
Stanza: studio Z.B09 (edificio Zeta B)
Research Institute
Research Institute for Social Innovation
Research Institute
Research Institute for Complexity

Dati relazione

Periodo di riferimento
09/02/2017 - 08/02/2020
Afferenza
Dipartimento di Scienze Ambientali, Informatica e Statistica
Ruolo
Professori ordinari
A.A.InsegnamentoCodice Voto (max 4)Voto medio area (max 4)
2016/2017ARCHITETTURA DEGLI ELABORATORICT00052.93.1
2016/2017HIGH PERFORMANCE COMPUTINGCM02273.73.1
2016/2017INFORMATION RETRIEVAL AND WEB SEARCHCM047333.1
2017/2018ARCHITETTURA DEGLI ELABORATORICT00052.93.2
2017/2018DATA SCIENCEM77021
2017/2018INFORMATION RETRIEVAL AND WEB SEARCHCM04733.33.2
2017/2018INTRODUCTION TO CODINGET40183.13.1
2017/2018INTRODUZIONE ALLA PROGRAMMAZIONENS001A3.43.2
2018/2019ARCHITETTURA DEGLI ELABORATORICT00052.93.2
2018/2019INFORMATION RETRIEVAL AND WEB SEARCHCM04733.13.2
2018/2019INTRODUCTION TO CODINGET40182.73.1
2018/2019INTRODUZIONE ALLA PROGRAMMAZIONENS001A3.33.2
Anno solareTipologiaTesi RelatoreTesi Correlatore
2017Corso di dottorato1
2017Corso di laurea magistrale4
2019Corso di dottorato1
2019Corso di laurea2
  • ADAPT: Accessible Data for Accessible Proto-types in Social Sector
  • CEVID 2016
  • MASTER (Multiple ASpects TrajEctoRy management and analysis)
  • Calcolo Parallelo su piattaforme GPU e Cloud
  • Data warehousing e Data mining
  • Information Retrieval e Search
  • Web Mining
  • B. QUINTAVALLE; S. ORLANDO (2019), SPARQL/T: A query language with SPARQL’s syntax for semantic mining of textual complaints , 10th Italian Information Retrieval Workshop (IIR 2019), CEUR-WS on-line proceedings, Convegno: 10th Italian Information Retrieval Workshop, September 16–18, 2019 (Articolo in Atti di convegno)
  • Pourvali, Mohsen*; Orlando, Salvatore (2018), Enriching Documents by Linking Salient Entities and Lexical-Semantic Expansion in JOURNAL OF INTELLIGENT SYSTEMS (ISSN 0334-1860) (Articolo su rivista)
  • Lettich, Francesco; Lucchese, Claudio; Nardini, Franco Maria; Orlando, Salvatore; Perego, Raffaele; Tonellotto, Nicola; Venturini, Rossano (2018), Parallel Traversal of Large Ensembles of Decision Trees in IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, vol. N/D (ISSN 1045-9219) (Articolo su rivista)
  • Trani, Salvatore; Lucchese, Claudio; Perego, Raffaele; Losada, David E.; Ceccarelli, Diego; Orlando, Salvatore (2018), SEL: A unified algorithm for salient entity linking in COMPUTATIONAL INTELLIGENCE, vol. 34, pp. 2-29 (ISSN 0824-7935) (Articolo su rivista)
  • Nardini, Franco Maria; Orlando, Salvatore; Perego, Raffaele; Raffaetà, Alessandra; Renso, Chiara; Silvestri, Claudio (2018), Analysing Trajectories of Mobile Users: From Data Warehouses to Recommender Systems , A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years in STUDIES IN BIG DATA, Springer, pp. 407-421 (ISBN 978-3-319-61892-0) (ISSN 2197-6503) (Articolo su libro)
  • M. Coletto, C. Lucchese, S. Orlando (2018), Do violent people smile? Social Media analysis of their profile pictures , WWW ’18 Companion, ACM, Convegno: Workshop on Online Social Networks and Media: Network Properties and Dynamics - co-located with The Web Conference (ISBN 978-1-4503-5640-4) (Articolo in Atti di convegno)
  • Lucchese, Claudio; Nardini, Franco Maria; Perego, Raffaele; Orlando, Salvatore; Trani, Salvatore (2018), Selective Gradient Boosting for Effective Learning to Rank , 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, ACM, pp. 155-164, Convegno: ACM SIGIR International Conference on Theory of Information Retrieval (ISBN 9781450356572) (Articolo in Atti di convegno)
  • Lettich, Francesco; Orlando, Salvatore; Silvestri, Claudio; Jensen, Christian S. (2017), Manycore GPU processing of repeated range queries over streams of moving objects observations in CONCURRENCY AND COMPUTATION, vol. 29 (ISSN 1532-0626) (Articolo su rivista)
  • Lucchese, C.; Nardini, F. M.; Orlando, S.; Perego, R.; Tonellotto, N.; Venturini, R. (2017), Efficient Traversal of Large Ensembles of Decision Trees. , Machine Learning and Knowledge Discovery in Databases. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III in LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, Springer, vol. 10536, pp. 358-361, Convegno: ECML PKDD 2017 (ISSN 0302-9743) (Articolo in Atti di convegno)
  • Lucchese, Claudio; Nardini, Franco Maria; Orlando, Salvatore; Perego, Raffaele; Trani, Salvatore (2017), X-Dart: Blending dropout and pruning for efiicient learning to rank , SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, Inc, pp. 1077-1080, Convegno: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017, 2017 (ISBN 9781450350228) (Articolo in Atti di convegno)
  • Lettich, Francesco; Lucchese, Claudio; Nardini, Franco Maria; Orlando, Salvatore; Perego, Raffaele; Tonellotto, Nicola; Venturini, Rossano (2017), Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees , Multicore/Manycore Parallel Traversal of Large Forests of Regression Trees, IEEE, pp. 915-915, Convegno: International Conference on High Performance Computing & Simulation, (HPCS) 2017, Genoa, Italy, July 17-21, 2017, Luglio 2017 (ISBN 978-1-5386-3249-9; 978-1-5386-3250-5) (Abstract in Atti di convegno)
  • (a cura di) Volker, Markl; Salvatore, Orlando; Bernhard, Mitschang; Periklis, Andritsos; Kai-uwe, Sattler; Sebastian, Breß (2017), Proceedings of the 20th International Conference on Extending Database Technology, {EDBT} 2017, Venice, Italy, March 21-24, 2017 in Volker Markl, Salvatore Orlando, Bernhard Mitschang, Periklis Andritsos, Kai-Uwe Sattler, Sebastian Breß, OpenProceedings.org (ISBN 978-3-89318-073-8) (Curatela)
Aspetti di efficacia e efficienza dei metodi di Learning-to-Rank per information retrieval.

Uso di GPU per problemi data intensive.

Information extraction da dati testuali.

Adversarial Machine Learning.
Relazione invitata a Convegno: International Conference on High Performance Computing & Simulation, (HPCS), 2017
ICDM 2020 (IEEE International Conference on Data Mining)
SIGIR 2020 (ACM Conference on Research and Development in Information Retrieval)
IPDPS 2020 (IEEE International Parallel & Distributed Processing Symposium)
ECIR 2020 (European Conference on Information Retrieval)
HPCS 2019 (High Performance Computing & Simulation Conference) - Awards Co-Chair
CLiC-it 2019 (6th Italian Conference on Computational Linguistic)
ICDM 2019 (IEEE International Conference on Data Mining)
IPDPS 2019 (IEEE International Parallel & Distributed Processing Symposium)
WWW 2019 (The Web Conference)
ECIR 2019 (41st European Conference on Information Retrieval)
PDP 2019 (Euromicro Conference on Parallel and Distributed Processing)
IIR 2018 (9th Italian Information Retrieval Workshop)
CIKM 2018 (ACM International Conference on Information and Knowledge Management)
SIGIR2018 (The 41st International ACM SIGIR conference on research and development in Information Retrieval) - Senior member
ECIR 2018 (40th European Conference on Information Retrieval)
WWW 2018 (The Web Conference, 2018) - Senior member
PDP2018 (The 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing)
IIR 2017 (8th Italian Information Retrieval Workshop)
SIGIR 2017 (The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval)
PAKDD 2017 (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
PDP 2017 (The 25th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing)
Cicli di lezioni nel Master in Digital Humanities, Ca' Foscari.

Cicli di seminari per il dottorato di digital humanities, dal titolo: "Data Analysis and Management for Cultural Heritage", IMT Institute for Advanced Studies - Lucca.
Membro del Consiglio Direttivo del CINI (Consorzio Interuniversitario Nazionale per l'Informatica) su incarico del Rettore (termine mandato 2019).

Vicepresidente del GRIN (Gruppo Informatici del SSD INF/01)
Delegato alla didattica del Dipartimento DAIS

Coordinatore e successivamente componente del Collegio didattico dei CdS in Informatica/Computer Science.

Componente del Collegio didattico di Digital Management

Componente del Collegio del Dottorato in Computer Science, e successivamente del Collegio di Scienze Polari