Time Series Cluster Kernel for Learning Similarities between
Multivariate Time Series with Missing Data

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Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data

3 April 2017

Karl Øyvind Mikalsen

C. Soguero-Ruíz

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Papers citing "Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data"

13 / 13 papers shown

Title
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning Cheng Liang Donghua Yang Zhiyu Liang Hongzhi Wang Zheng Liang Xiyang Zhang Jianfeng Huang AI4TS 465 2 0 09 Dec 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making Shujian Yu Hongming Li Sigurd Løkse Robert Jenssen José C. Príncipe BDL 112 6 0 21 Jan 2023
Clustering individuals based on multivariate EMA time-series data Mandani Ntekouli Gerasimos Spanakis L. Waldorp A. Roefs 18 2 0 02 Dec 2022
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit Óscar Escudero-Arnanz Joaquín Rodríguez-Álvarez Karl Øyvind Mikalsen Robert Jenssen C. Soguero-Ruíz 84 3 0 07 Jul 2021
Patient Similarity Analysis with Longitudinal Health Data Ahmed Allam Matthias Dittberner A. Sintsova D. Brodbeck Michael Krauthammer 110 14 0 14 May 2020
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs Karl Øyvind Mikalsen C. Soguero-Ruíz Robert Jenssen AI4TS 25 2 0 27 Feb 2020
REP: Predicting the Time-Course of Drug Sensitivity Cheng Qian A. Emad N. Sidiropoulos 22 0 0 27 Jul 2019
Time series cluster kernels to exploit informative missingness and incomplete label information Karl Øyvind Mikalsen C. Soguero-Ruíz F. Bianchi A. Revhaug Robert Jenssen CML 105 14 0 10 Jul 2019
Noisy multi-label semi-supervised dimensionality reduction Karl Øyvind Mikalsen C. Soguero-Ruíz F. Bianchi Robert Jenssen NoLa 60 37 0 20 Feb 2019
The Deep Kernelized Autoencoder Michael C. Kampffmeyer Sigurd Løkse F. Bianchi Robert Jenssen L. Livi 64 18 0 19 Jul 2018
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders F. Bianchi L. Livi Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen AI4TS 84 11 0 09 May 2018
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples Karl Øyvind Mikalsen C. Soguero-Ruíz F. Bianchi A. Revhaug Robert Jenssen AI4TS 75 7 0 21 Mar 2018
Reservoir computing approaches for representation and classification of multivariate time series F. Bianchi Simone Scardapane Sigurd Løkse Robert Jenssen AI4TS 98 145 0 21 Mar 2018