High level high performance computing for multitask learning of time-varying models. - Marco Signoretto; Emanuele Frandi; Zahra Karevan; Johan A. K. Suykens (CIBD, 2014)

Black-box modeling for temperature prediction in weather forecasting. - Zahra Karevan; Siamak Mehrkanoon; Johan A. K. Suykens (IJCNN, 2015)

Spatio-temporal feature selection for black-box weather forecasting. - Zahra Karevan; Johan A. K. Suykens (ESANN, 2016)

Clustering-based feature selection for black-box weather temperature prediction. - Zahra Karevan; Johan A. K. Suykens (IJCNN, 2016)

Moving Least Squares Support Vector Machines for weather temperature prediction. - Zahra Karevan; Yunlong Feng; Johan A. K. Suykens (ESANN, 2017)

Multi-view LS-SVM regression for black-box temperature prediction in weather forecasting. - Lynn Houthuys; Zahra Karevan; Johan A. K. Suykens (IJCNN, 2017)

Weighted Multi-view Deep Neural Networks for Weather Forecasting. - Zahra Karevan; Lynn Houthuys; Johan A. K. Suykens (ICANN (3), 2018)

Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting. - Zahra Karevan; Johan A. K. Suykens (CoRR, 2018)

Transductive Feature Selection Using Clustering-Based Sample Entropy for Temperature Prediction in Weather Forecasting. - Zahra Karevan; Johan A. K. Suykens (Entropy, 2018)

Transductive LSTM for time-series prediction: An application to weather forecasting. - Zahra Karevan; Johan A. K. Suykens (Neural Networks, 2020)