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ORCIDZahra Karevan
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2020 – today
- 2020
[j2]Zahra Karevan, Johan A. K. Suykens
:
Transductive LSTM for time-series prediction: An application to weather forecasting. Neural Networks 125: 1-9 (2020)
2010 – 2019
- 2018
- [j1]Zahra Karevan, Johan A. K. Suykens:
Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting. Entropy 20(4): 264 (2018) - [c7]Zahra Karevan, Lynn Houthuys, Johan A. K. Suykens:
Weighted Multi-view Deep Neural Networks for Weather Forecasting. ICANN (3) 2018: 489-499 - [i1]Zahra Karevan, Johan A. K. Suykens:
Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting. CoRR abs/1811.06341 (2018) - 2017
- [c6]Zahra Karevan, Yunlong Feng, Johan A. K. Suykens:
Moving Least Squares Support Vector Machines for weather temperature prediction. ESANN 2017 - [c5]Lynn Houthuys, Zahra Karevan, Johan A. K. Suykens:
Multi-view LS-SVM regression for black-box temperature prediction in weather forecasting. IJCNN 2017: 1102-1108 - 2016
- [c4]Zahra Karevan, Johan A. K. Suykens:
Spatio-temporal feature selection for black-box weather forecasting. ESANN 2016 - [c3]Zahra Karevan, Johan A. K. Suykens:
Clustering-based feature selection for black-box weather temperature prediction. IJCNN 2016: 2722-2729 - 2015
- [c2]Zahra Karevan, Siamak Mehrkanoon, Johan A. K. Suykens:
Black-box modeling for temperature prediction in weather forecasting. IJCNN 2015: 1-8 - 2014
- [c1]Marco Signoretto, Emanuele Frandi, Zahra Karevan, Johan A. K. Suykens:
High level high performance computing for multitask learning of time-varying models. CIBD 2014: 14-19
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