Ghent University Academic Bibliography

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The R package sentometrics to compute, aggregate and predict with textual sentiment

David Ardia, Keven Bluteau, Samuel Borms and Kris Boudt (UGent)

(2021) JOURNAL OF STATISTICAL SOFTWARE. 99(2). p.1-40
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Spatial distribution of soil moisture in Mongolia using SMAP and MODIS satellite data : a time series model (2010-2025)

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

(2021) REMOTE SENSING. 13(3).
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Implications of Z-normalization in the matrix profile

Dieter De Paepe (UGent) , Diego Nieves Avendano (UGent) and Sofie Van Hoecke (UGent)

(2020) Pattern recognition applications and methods, 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers. In Lecture Notes in Computer Science 11996. p.95-118
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A generalized matrix profile framework with support for contextual series analysis

Dieter De Paepe (UGent) , Sander Vanden Hautte (UGent) , Bram Steenwinckel (UGent) , Filip De Turck (UGent) , Femke Ongenae (UGent) , Olivier Janssens (UGent) and Sofie Van Hoecke (UGent)

(2020) ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 90.
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Temporal big data for tactical sales forecasting in the tire industry

Yves Sagaert (UGent) , El-Houssaine Aghezzaf (UGent) , Nikolaos Kourentzes and Bram Desmet

(2018) INTERFACES. 48(2). p.121-129
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Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support

Shari De Baets (UGent) and Nigel Harvey

(2018) INTERNATIONAL JOURNAL OF FORECASTING. 34(2). p.168-180
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Subjectively interesting motifs in time series

Junning Deng (UGent) , Jefrey Lijffijt (UGent) , Bo Kang (UGent) and Tijl De Bie (UGent)

(2018) ENTROPY. p.1-17
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Estimates of local biodiversity change over time stand up to scrutiny

Mark Vellend, Maria Dornelas, Lander Baeten (UGent) , Robin Beauséjour, Carissa D Brown, Pieter De Frenne (UGent) , Sarah C Elmendorf, Nicholas J Gotelli, Faye Moyes, Isla H Myers-Smith, et al.

(2017) ECOLOGY. 98(2). p.583-590
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Detecting trends in Twitter time series

Tijl De Bie (UGent) , Jefrey Lijffijt (UGent) , Cedric Mesnage and Raul Santos-Rodriguez

(2016) 2016 IEEE 26TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP). In IEEE International Workshop on Machine Learning for Signal Processing
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Wavelet modeling and prediction of the stability of states: the Roman Empire and the European Union

Tatyana Y Yaroshenko, Dmitri Krysko (UGent) , Vitalii Dobriyan, Maksim V Zhigalov, Hendrik Vos (UGent) , Peter Vandenabeele (UGent) and Vadim A Krysko

(2015) COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION. 26(1-3). p.265-275

Academic Bibliography

The R package sentometrics to compute, aggregate and predict with textual sentiment

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

Implications of Z-normalization in the matrix profile

A generalized matrix profile framework with support for contextual series analysis

Temporal big data for tactical sales forecasting in the tire industry

Forecasting from time series subject to sporadic perturbations : effectiveness of different types of forecasting support

Subjectively interesting motifs in time series

Estimates of local biodiversity change over time stand up to scrutiny

Detecting trends in Twitter time series

Wavelet modeling and prediction of the stability of states: the Roman Empire and the European Union

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