Nicola Tonellotto

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Raffaele PeregoResearch Director, ISTI-CNREmail confirmado em isti.cnr.it
Craig MacdonaldSchool of Computing Science, University of GlasgowEmail confirmado em glasgow.ac.uk
Franco Maria NardiniSenior Researcher, ISTI-CNR, Pisa, ItalyEmail confirmado em isti.cnr.it
Iadh OunisProfessor at the University of Glasgow, School of Computing ScienceEmail confirmado em glasgow.ac.uk
Salvatore OrlandoProfessor of Computer Science, Università Ca' Foscari Venezia, ItalyEmail confirmado em unive.it
Claudio LuccheseFull Professor, Ca' Foscari University of VeniceEmail confirmado em unive.it
Ophir FriederGeorgetown UniversityEmail confirmado em ir.cs.georgetown.edu
Rossano VenturiniAssociate Professor, Dept. of Computer Science, University of PisaEmail confirmado em unipi.it
Fabrizio SilvestriSapienza, University of RomeEmail confirmado em uniroma1.it
Marco DaneluttoProfessor, Dept. of Computer Science, Univ. of PisaEmail confirmado em unipi.it
Sean MacAvaneyUniversity of GlasgowEmail confirmado em glasgow.ac.uk
Ida MeleIASI-CNR, Rome, ItalyEmail confirmado em iasi.cnr.it
Cristina Ioana MunteanISTI-CNR, PisaEmail confirmado em isti.cnr.it
Alberto GottaSenior Researcher @ National Research Council (CNR)Email confirmado em isti.cnr.it
Ranieri BaragliaISTI - CNREmail confirmado em isti.cnr.it
Marco AldinucciFull Professor in Computer Science, University of TorinoEmail confirmado em unito.it
Nazli GoharianGeorgetown UniversityEmail confirmado em ir.cs.georgetown.edu
Domenico DatoCTO - Istella SpAEmail confirmado em domenicodato.com
Antonio MalliaPineconeEmail confirmado em nyu.edu
Federico SicilianoPost-doc, Sapienza University of RomeEmail confirmado em diag.uniroma1.it

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Nicola Tonellotto

Associate Professor, University of Pisa

Email confirmado em unipi.it - Página inicial

Information Retrieval Cloud Computing Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Learning passage impacts for inverted indexes A Mallia, O Khattab, T Suel, N Tonellotto Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021	152	2021
Declarative experimentation in information retrieval using PyTerrier C Macdonald, N Tonellotto Proceedings of the 2020 ACM SIGIR on International Conference on Theory of …, 2020	152	2020
Efficient document re-ranking for transformers by precomputing term representations S MacAvaney, FM Nardini, R Perego, N Tonellotto, N Goharian, O Frieder Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020	125	2020
Fast ranking with additive ensembles of oblivious and non-oblivious regression trees D Dato, C Lucchese, FM Nardini, S Orlando, R Perego, N Tonellotto, ... ACM Transactions on Information Systems (TOIS) 35 (2), 1-31, 2016	121	2016
Learning to predict response times for online query scheduling C Macdonald, N Tonellotto, I Ounis Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012	105	2012
Expansion via prediction of importance with contextualization S MacAvaney, FM Nardini, R Perego, N Tonellotto, N Goharian, O Frieder Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020	102	2020
Quickscorer: A fast algorithm to rank documents with additive ensembles of regression trees C Lucchese, FM Nardini, S Orlando, R Perego, N Tonellotto, R Venturini Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015	97	2015
PyTerrier: Declarative experimentation in Python from BM25 to dense retrieval C Macdonald, N Tonellotto, S MacAvaney, I Ounis Proceedings of the 30th acm international conference on information …, 2021	94	2021
Behavioural skeletons in GCM: autonomic management of grid components M Aldinucci, S Campa, M Danelutto, M Vanneschi, P Kilpatrick, P Dazzi, ... 16th Euromicro Conference on Parallel, Distributed and Network-Based …, 2008	94	2008
A grid information service based on peer-to-peer D Puppin, S Moncelli, R Baraglia, N Tonellotto, F Silvestri Euro-Par 2005 Parallel Processing: 11th International Euro-Par Conference …, 2005	92	2005
Efficient and effective retrieval using selective pruning N Tonellotto, C Macdonald, I Ounis Proceedings of the sixth ACM international conference on Web search and data …, 2013	91	2013
The power of noise: Redefining retrieval for rag systems F Cuconasu, G Trappolini, F Siciliano, S Filice, C Campagnano, Y Maarek, ... Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024	88	2024
Pseudo-relevance feedback for multiple representation dense retrieval X Wang, C Macdonald, N Tonellotto, I Ounis Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021	79	2021
Quality versus efficiency in document scoring with learning-to-rank models G Capannini, C Lucchese, FM Nardini, S Orlando, R Perego, N Tonellotto Information Processing & Management 52 (6), 1161-1177, 2016	74	2016
Efficient query processing for scalable web search N Tonellotto, C Macdonald, I Ounis Foundations and Trends® in Information Retrieval 12 (4-5), 319-500, 2018	67	2018
Faster BlockMax WAND with variable-sized blocks A Mallia, G Ottaviano, E Porciani, N Tonellotto, R Venturini Proceedings of the 40th international ACM SIGIR conference on research and …, 2017	64	2017
Neural network quantization in federated learning at the edge N Tonellotto, A Gotta, FM Nardini, D Gadler, F Silvestri Information Sciences 575, 417-436, 2021	55	2021
ColBERT-PRF: Semantic pseudo-relevance feedback for dense passage and document retrieval X Wang, C Macdonald, N Tonellotto, I Ounis ACM Transactions on the Web 17 (1), 1-39, 2023	53	2023
Upper-bound approximations for dynamic pruning C Macdonald, I Ounis, N Tonellotto ACM Transactions on Information Systems (TOIS) 29 (4), 1-28, 2011	48	2011
Exploiting CPU SIMD extensions to speed-up document scoring with tree ensembles C Lucchese, FM Nardini, S Orlando, R Perego, N Tonellotto, R Venturini Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016	47	2016

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