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ORCIDRocco De Rosa
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2010 – 2019
- 2017
[j3]Rocco De Rosa, Nicolò Cesa-Bianchi:
Confidence Decision Trees via Online and Active Learning for Streaming Data. J. Artif. Intell. Res. 60: 1031-1055 (2017)- [j2]Rocco De Rosa, Ilaria Gori, Fabio Cuzzolin, Nicolò Cesa-Bianchi:
Active Incremental Recognition of Human Activities in a Streaming Context. Pattern Recognit. Lett. 99: 48-56 (2017) - 2016
- [i4]Rocco De Rosa, Thomas Mensink, Barbara Caputo:
Online Open World Recognition. CoRR abs/1604.02275 (2016) - [i3]Rocco De Rosa, Ilaria Gori, Fabio Cuzzolin, Barbara Caputo, Nicolò Cesa-Bianchi:
Active Learning for Online Recognition of Human Activities from Streaming Videos. CoRR abs/1604.02855 (2016) - [i2]Rocco De Rosa:
Confidence Decision Trees via Online and Active Learning for Streaming (BIG) Data. CoRR abs/1604.03278 (2016) - 2015
- [j1]Alessandro Antonucci
, Rocco De Rosa, Alessandro Giusti, Fabio Cuzzolin:
Robust classification of multivariate time series by imprecise hidden Markov models. Int. J. Approx. Reason. 56: 249-263 (2015) - [c5]Rocco De Rosa, Francesco Orabona, Nicolò Cesa-Bianchi:
The ABACOC Algorithm: A Novel Approach for Nonparametric Classification of Data Streams. ICDM 2015: 733-738 - [c4]Rocco De Rosa, Nicolò Cesa-Bianchi:
Splitting with confidence in decision trees with application to stream mining. IJCNN 2015: 1-8 - [i1]Rocco De Rosa, Francesco Orabona, Nicolò Cesa-Bianchi:
The ABACOC Algorithm: a Novel Approach for Nonparametric Classification of Data Streams. CoRR abs/1508.04912 (2015) - 2014
- [c3]Rocco De Rosa, Nicolò Cesa-Bianchi, Ilaria Gori, Fabio Cuzzolin:
Online Action Recognition via Nonparametric Incremental Learning. BMVC 2014 - 2012
- [c2]Giorgio Corani, Alessandro Antonucci, Rocco De Rosa:
Compression-based AODE Classifiers. ECAI 2012: 264-269 - 2011
- [c1]Alessandro Antonucci, Rocco De Rosa:
Time Series Classification by Imprecise Hidden Markov Models. WIRN 2011: 195-202
Coauthor Index
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