Sep 21, 2016 · Our main contribution is the STIFE framework for extracting relevant features from interval sequences to build feature-based classifiers.
Our main contribution is the STIFE framework for extracting relevant features from interval sequences to build feature-based classifiers. STIFE uses a ...
STIFE: A Framework for Feature-Based Classification of ...
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Our main contribution is the STIFE framework for extracting relevant features from interval sequences to build feature-based classifiers. STIFE uses a ...
In this paper, we study the problem of classification of sequences of temporal intervals. Our main contribution is the STIFE framework for extracting relevant ...
Sep 20, 2016 · Our main contribution is the STIFE framework for extracting relevant features from interval sequences to build feature-based classifiers. STIFE ...
Implementation of the STIFE framework in the Research Project concerning Sequences of temporal Intervals.
Nov 23, 2020 · A novel framework, which we call SMILE, for extracting relevant features from interval sequences to construct classifiers.
Leon Bornemann, Jason Lecerf, Panagiotis Papapetrou: STIFE: A Framework for Feature-Based Classification of Sequences of Temporal Intervals. DS 2016: 85-100.
In this paper, we study the problem of classification of sequences of temporal intervals. Our main contribution is the STIFE framework for extracting ...
Sep 14, 2020 · A feature-based framework for IBTS classification, called STIFE, was re- cently proposed by Bornemann et al. [15].