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Domenico Perrotta
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2020 – today
- 2024
- [j13]Edoardo Fibbi, Domenico Perrotta, Francesca Torti, Stefan Van Aelst, Tim Verdonck:
Co-clustering contaminated data: a robust model-based approach. Adv. Data Anal. Classif. 18(1): 121-161 (2024) - [j12]Luca Insolia, Domenico Perrotta:
Fast and robust clustering of general-shaped structures with tk-merge. Int. J. Approx. Reason. 168: 109152 (2024) - [j11]Volodymyr Melnykov, Yang Wang, Yana Melnykov, Francesca Torti, Domenico Perrotta, Marco Riani:
On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms. J. Comput. Graph. Stat. 33(1): 303-309 (2024) - 2023
- [j10]Liesbeth Allein, Marie-Francine Moens, Domenico Perrotta:
Preventing profiling for ethical fake news detection. Inf. Process. Manag. 60(2): 103206 (2023) - 2021
- [c4]Sergio Consoli, Domenico Perrotta, Marco Turchi:
Reduced Variable Neighbourhood Search for the Generation of Controlled Circular Data. ICVNS 2021: 83-98 - [i1]Liesbeth Allein, Marie-Francine Moens, Domenico Perrotta:
Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection. CoRR abs/2108.13892 (2021) - 2020
- [j9]Marco Riani, Anthony C. Atkinson, Aldo Corbellini, Domenico Perrotta:
Robust Regression with Density Power Divergence: Theory, Comparisons, and Data Analysis. Entropy 22(4): 399 (2020)
2010 – 2019
- 2019
- [j8]Francesca Torti, Domenico Perrotta, Marco Riani, Andrea Cerioli:
Assessing trimming methodologies for clustering linear regression data. Adv. Data Anal. Classif. 13(1): 227-257 (2019) - 2018
- [j7]Domenico Perrotta, Francesca Torti:
Discussion of "The power of monitoring: how to make the most of a contaminated multivariate sample". Stat. Methods Appl. 27(4): 641-649 (2018) - 2016
- [j6]Lucio Barabesi, Andrea Cerasa, Domenico Perrotta, Andrea Cerioli:
Modeling international trade data with the Tweedie distribution for anti-fraud and policy support. Eur. J. Oper. Res. 248(3): 1031-1043 (2016) - [j5]Sergio Consoli, Marco Turchi, Domenico Perrotta:
A local search approach for generating directional data. Intell. Data Anal. 20(2): 439-453 (2016) - 2015
- [j4]Marco Riani, Andrea Cerioli, Domenico Perrotta, Francesca Torti:
Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library. Adv. Data Anal. Classif. 9(4): 461-481 (2015) - 2014
- [j3]Andrea Cerioli, Domenico Perrotta:
Robust clustering around regression lines with high density regions. Adv. Data Anal. Classif. 8(1): 5-26 (2014) - 2013
- [p1]Jukka Heikkonen, Domenico Perrotta, Marco Riani, Francesca Torti:
Issues on Clustering and Data Gridding. Classification and Data Mining 2013: 37-44 - 2012
- [j2]Francesca Torti, Domenico Perrotta, Anthony C. Atkinson, Marco Riani:
Benchmark testing of algorithms for very robust regression: FS, LMS and LTS. Comput. Stat. Data Anal. 56(8): 2501-2512 (2012) - [c3]Marco Turchi, Domenico Perrotta, Marco Riani, Andrea Cerioli:
Robustness Issues in Text Mining. SMPS 2012: 263-272
2000 – 2009
- 2009
- [j1]Domenico Perrotta, Marco Riani, Francesca Torti:
New robust dynamic plots for regression mixture detection. Adv. Data Anal. Classif. 3(3): 263-279 (2009) - 2008
- [e1]Françoise Fogelman-Soulié, Domenico Perrotta, Jakub Piskorski, Ralf Steinberger:
Mining Massive Data Sets for Security - Advances in Data Mining, Search, Social Networks and Text Mining, and their Applications to Security, Proceedings of the NATO Advanced Study Institute on Mining Massive Data Sets for Security, Gazzada (Varese), Italy, 10-21 September 2007. NATO Science for Peace and Security Series - D: Information and Communication Security 19, IOS Press 2008, ISBN 978-1-58603-898-4 [contents] - 2007
- [c2]Marco Riani, Andrea Cerioli, Anthony C. Atkinson, Domenico Perrotta, Francesca Torti:
Fitting Mixtures of Regression Lines with the Forward Search. NATO ASI Mining Massive Data Sets for Security 2007: 271-286
1990 – 1999
- 1998
- [c1]Domenico Perrotta:
To stop learning using the evidence. ESANN 1998: 267-272
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last updated on 2024-10-07 21:11 CEST by the dblp team
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