Ghent University Academic Bibliography

Journal Article

Do not sleep on traditional machine learning Simple and interpretable techniques are competitive to deep learning for sleep scoring

Jeroen Van Der Donckt (UGent) , Jonas Van Der Donckt (UGent) , Emiel Deprost (UGent) , Nicolas Vandenbussche (UGent) , Michael Rademaker, Gilles Vandewiele (UGent) and Sofie Van Hoecke (UGent)

(2023) BIOMEDICAL SIGNAL PROCESSING AND CONTROL. 81.

Add to list

Plotly-resampler : effective visual analytics for large time series

Jonas Van Der Donckt (UGent) , Jeroen Van Der Donckt (UGent) , Emiel Deprost (UGent) and Sofie Van Hoecke (UGent)

(2022) 2022 IEEE VISUALIZATION CONFERENCE - SHORT PAPERS (VIS). In IEEE Visualization Conference p.21-25

Add to list

Journal Article
A1
open access

Forecasting : theory and practice

Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, et al.

(2022) INTERNATIONAL JOURNAL OF FORECASTING. 38(3). p.705-871

Add to list

Journal Article
A1
open access

Evaluating the impact of COVID-19 countermeasures on alcohol consumption through wastewater-based epidemiology : a case study in Belgium

Tim Boogaerts, Xander Bertels (UGent) , Bram Pussig, Maarten Quireyns, Louis Toebosch, Natan Van Wichelen, Catalina Dumitrascu, Catherina Matheï, Lies Lahousse (UGent) , Bert Aertgeerts, et al.

(2022) ENVIRONMENT INTERNATIONAL. 170.

Add to list

Journal Article
A1
open access

Hierarchical pattern matching for anomaly detection in time series

Matthias Van Onsem (UGent) , Dieter De Paepe, Sander Vanden Hautte, Pieter Bonte (UGent) , Veerle Ledoux (UGent) , Annelies Lejon, Femke Ongenae (UGent) , D. Dreesen and Sofie Van Hoecke (UGent)

(2022) COMPUTER COMMUNICATIONS. 193. p.75-81

Add to list

Journal Article
A1
open access

tsflex : flexible time series processing & feature extraction

Jonas Van Der Donckt (UGent) , Jeroen Van Der Donckt (UGent) , Emiel Deprost (UGent) and Sofie Van Hoecke (UGent)

(2022) SOFTWAREX. 17.

Add to list

Journal Article
A1
open access

Spatial distribution of soil moisture in Mongolia using SMAP and MODIS satellite data : a time series model (2010-2025)

Enkhjargal Natsagdorj, Tsolmon Renchin, Philippe De Maeyer (UGent) and Bayanjargal Darkhijav

(2021) REMOTE SENSING. 13(3).

Add to list

Journal Article
A1
open access

SCMFTS : scalable and distributed complexity measures and features for univariate and multivariate time series in Big Data environments

Francisco J. Baldan, Daniel Peralta (UGent) , Yvan Saeys (UGent) and Jose M. Benitez

(2021) INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS. 14(1).

Add to list

Journal Article
A1
open access

A complete software stack for IoT time-series analysis that combines semantics and machine learning-lessons learned from the dyversify project

Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel (UGent) , Pieter Moens (UGent) , Jasper Vaneessen (UGent) , Steven Vandekerckhove, Bruno Volckaert (UGent) , Femke Ongenae (UGent) and Sofie Van Hoecke (UGent)

(2021) APPLIED SCIENCES-BASEL. 11(24).

Add to list

Journal Article
A1
open access

A personalized Bayesian approach for early intervention in gestational weight gain management toward pregnancy care

Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Jo Hua, Nan Huang, Henry Ma, Yafang Jin, Fan Ling, et al.

(2021) IEEE ACCESS. 9. p.160946-160957

Academic Bibliography

Do not sleep on traditional machine learning Simple and interpretable techniques are competitive to deep learning for sleep scoring

Plotly-resampler : effective visual analytics for large time series

Forecasting : theory and practice

Evaluating the impact of COVID-19 countermeasures on alcohol consumption through wastewater-based epidemiology : a case study in Belgium

Hierarchical pattern matching for anomaly detection in time series

tsflex : flexible time series processing & feature extraction

Spatial distribution of soil moisture in Mongolia using SMAP and MODIS satellite data : a time series model (2010-2025)

SCMFTS : scalable and distributed complexity measures and features for univariate and multivariate time series in Big Data environments

A complete software stack for IoT time-series analysis that combines semantics and machine learning-lessons learned from the dyversify project

A personalized Bayesian approach for early intervention in gestational weight gain management toward pregnancy care

Contents

Support

Contact