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Dissimilarity-based representations for one-class classification on time series
In several real-world classification problems it can be impractical to collect samples from
classes other than the one of interest, hence the need for classifiers trained on a single …
classes other than the one of interest, hence the need for classifiers trained on a single …
Continuous authentication through gait analysis on a wrist-worn device
Being distinctive of every individual, gait can be used as a biometric feature to authenticate
the owner of a wearable device. This paper proposes and evaluates an authentication …
the owner of a wearable device. This paper proposes and evaluates an authentication …
Dissimilarity-preserving representation learning for one-class time series classification
We propose to embed time series in a latent space where pairwise Euclidean distances
(EDs) between samples are equal to pairwise dissimilarities in the original space, for a given …
(EDs) between samples are equal to pairwise dissimilarities in the original space, for a given …
Feature extraction by grammatical evolution for one-class time series classification
When dealing with a new time series classification problem, modellers do not know in
advance which features could enable the best classification performance. We propose an …
advance which features could enable the best classification performance. We propose an …
One-class subject authentication using feature extraction by grammatical evolution on accelerometer data
Abstract In this study Grammatical Evolution (GE) is used to extract features from
accelerometer time series in order to increase the performance of a Kernel Density …
accelerometer time series in order to increase the performance of a Kernel Density …
ADLs detection with a wrist-worn accelerometer in uncontrolled conditions
Abstract In 2017, the European Commission estimated that 29% of European population will
be aged 65 and over, by 2070. The capability of tracking and recognizing people's daily …
be aged 65 and over, by 2070. The capability of tracking and recognizing people's daily …
Classificação de uma classe para seleção de conjuntos de dados sintéticos em meta-aprendizado
RR PARENTE - 2022 - bdtd.ibict.br
A seleção de algoritmos é uma tarefa crucial e desafiadora no aprendizado de máquina em
diferentes domínios do conhecimento. O meta-aprendizado trata a seleção de algoritmos …
diferentes domínios do conhecimento. O meta-aprendizado trata a seleção de algoritmos …
One-Class Subject Authentication Using Feature Extraction by Grammatical
Abstract In this study Grammatical Evolution (GE) is used to extract features from
accelerometer time series in order to increase the performance of a Kernel Density …
accelerometer time series in order to increase the performance of a Kernel Density …
[PDF][PDF] One-Class Time Series Classification
S Mauceri - 2020 - researchrepository.ucd.ie
This thesis contributes to the state of the art of time series classification and machine
learning by investigating three novel data-driven representations for time series in the …
learning by investigating three novel data-driven representations for time series in the …