Time Series Classification by Imprecise Hidden Markov Models. - Alessandro Antonucci 001; Rocco De Rosa (WIRN, 2011)

Compression-based AODE Classifiers. - Giorgio Corani; Alessandro Antonucci 001; Rocco De Rosa (ECAI, 2012)

Online Action Recognition via Nonparametric Incremental Learning. - Rocco De Rosa; Nicolò Cesa-Bianchi; Ilaria Gori; Fabio Cuzzolin (BMVC, 2014)

The ABACOC Algorithm: A Novel Approach for Nonparametric Classification of Data Streams. - Rocco De Rosa; Francesco Orabona; Nicolò Cesa-Bianchi (ICDM, 2015)

Splitting with confidence in decision trees with application to stream mining. - Rocco De Rosa; Nicolò Cesa-Bianchi (IJCNN, 2015)

Robust classification of multivariate time series by imprecise hidden Markov models. - Alessandro Antonucci 001; Rocco De Rosa; Alessandro Giusti; Fabio Cuzzolin (Int. J. Approx. Reason., 2015)

Confidence Decision Trees via Online and Active Learning for Streaming (BIG) Data. - Rocco De Rosa (CoRR, 2016)

Active Learning for Online Recognition of Human Activities from Streaming Videos. - Rocco De Rosa; Ilaria Gori; Fabio Cuzzolin; Barbara Caputo; Nicolò Cesa-Bianchi (CoRR, 2016)

Online Open World Recognition. - Rocco De Rosa; Thomas Mensink; Barbara Caputo (CoRR, 2016)

Confidence Decision Trees via Online and Active Learning for Streaming Data. - Rocco De Rosa; Nicolò Cesa-Bianchi (J. Artif. Intell. Res., 2017)

Active Incremental Recognition of Human Activities in a Streaming Context. - Rocco De Rosa; Ilaria Gori; Fabio Cuzzolin; Nicolò Cesa-Bianchi (Pattern Recognit. Lett., 2017)