CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
Publications
Author(s):
Ruben Becker; Manuel Cáceres; Davide Cenzato; Sung-Hwan Kim; Bojana Kodric; Francisco Olivares; Nicola Prezza
Published in:
Proceedings of the 31st Annual European Symposium on Algorithms (ESA 2023), 2023, ISSN 1868-8969
Publisher:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI:
10.48550/arXiv.2305.05129
Author(s):
Ruben Becker, Davide Cenzato, Sung-Hwan Kim, Bojana Kodric, Riccardo Maso, Nicola Prezza
Published in:
Proceedings of the 35th Annual Symposium on Combinatorial Pattern Matching (CPM 2024), 2024, ISSN 1868-8969
Publisher:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI:
10.4230/LIPIcs.CPM.2024.5
Author(s):
Giovanni Manzini, Alberto Policriti, Nicola Prezza, Brian Riccardi
Published in:
Proceedings of the 35th Annual Symposium on Combinatorial Pattern Matching (CPM 2024), Issue 35, 2024, ISSN 1868-8969
Publisher:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI:
10.4230/LIPIcs.CPM.2024.23
Author(s):
Patrick Dinklage, Johannes Fischer, Nicola Prezza
Published in:
Proceedings of the 22nd International Symposium on Experimental Algorithms (SEA 2024), 2024, ISSN 1868-8969
Publisher:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI:
10.4230/LIPIcs.SEA.2024.9
Author(s):
Davide Cenzato, Francisco Olivares, Nicola Prezza
Published in:
Proceedings of the 31st International Symposium on String Processing and Information Retrieval (SPIRE 2024), 2024, ISSN 1611-3349
Publisher:
Springer Cham
DOI:
10.48550/arXiv.2407.18753
Author(s):
Sung-Hwan Kim; Francisco Olivares; Nicola Prezza
Published in:
Proceedings of the 34th Annual Symposium on Combinatorial Pattern Matching (CPM 2023), 2023, ISSN 1868-8969
Publisher:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI:
10.48550/arxiv.2304.10962
Author(s):
Conte A.; Cotumaccio N.; Gagie T.; Manzini G.; Prezza N.; Sciortino M.
Published in:
Proceedings of the 2023 Data Compression Conference (DCC), 2023, ISSN 2375-0359
Publisher:
IEEE
DOI:
10.48550/arXiv.2301.05338
Author(s):
Ruben Becker; Davide Cenzato; Sung-Hwan Kim; Bojana Kodric; Alberto Policriti; Nicola Prezza
Published in:
Proceedings of String Processing and Information Retrieval 2023 ISBN: 9783031439797, 2023, ISSN 1611-3349
Publisher:
Springer
DOI:
10.48550/arXiv.2306.04737
Author(s):
Ruben Becker, Matteo Canton, Davide Cenzato, Sung-Hwan Kim, Bojana Kodric, Nicola Prezza
Published in:
Proceedings of the Data Compression Conference 2024, 2024, ISSN 2375-0359
Publisher:
IEEE
DOI:
10.48550/arXiv.2310.17980
Author(s):
Jarno N. Alanko, Davide Cenzato, Nicola Cotumaccio, Sung-Hwan Kim, Giovanni Manzini, Nicola Prezza
Published in:
Proceedings of the 35th Annual Symposium on Combinatorial Pattern Matching (CPM 2024), 2024, ISSN 1868-8969
Publisher:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI:
10.4230/LIPIcs.CPM.2024.1
Author(s):
Ruben Becker, Sung-Hwan Kim, Nicola Prezza, Carlo Tosoni
Published in:
Proceedings of the 31st International Symposium on String Processing and Information Retrieval (SPIRE 2024), 2024, ISSN 1611-3349
Publisher:
Springer Cham
DOI:
10.48550/arXiv.2406.02763
Author(s):
Nicola Cotumaccio, Travis Gagie, Dominik Köppl, Nicola Prezza
Published in:
Proceedings of String Processing and Information Retrieval 2023, 2023, ISSN 1611-3349
Publisher:
Springer
DOI:
10.48550/arXiv.2306.05684
Author(s):
Cenzato, Davide; Lipták, Zsuzsanna
Published in:
Bioinformatics, 2024, ISSN 1367-4811
Publisher:
Oxford University Press
DOI:
10.48550/arXiv.2202.13235
Author(s):
Tomasz Kociumaka; Gonzalo Navarro; Nicola Prezza
Published in:
IEEE Transactions on Information Theory, 2023, ISSN 0018-9448
Publisher:
IEEE
DOI:
10.48550/arXiv.1910.02151
Author(s):
Nicola Cotumaccio; Giovanna D’Agostino; Alberto Policriti; Nicola Prezza
Published in:
Journal of the ACM, 2023, ISSN 0004-5411
Publisher:
Association for Computing Machinery, New York, NY, United States
DOI:
10.1145/3607471
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