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Extreme Learning Machine for Graph Signal Processing., , and . EUSIPCO, page 136-140. IEEE, (2018)Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise., , and . ICASSP, page 5426-5430. IEEE, (2019)Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection., , , and . CoRR, (2023)Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University., , , and . CoRR, (2020)On Training and Evaluation of Neural Network Approaches for Model Predictive Control., , and . CoRR, (2020)High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance., , , and . ICASSP, page 4237-4241. IEEE, (2020)Predicting Graph Signals Using Kernel Regression Where the Input Signal is Agnostic to a Graph., , and . IEEE Trans. Signal and Information Processing over Networks, 5 (4): 698-710 (2019)On Hilbert transform, analytic signal, and modulation analysis for signals over graphs., , and . Signal Process., (2019)Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection., , , and . ECML/PKDD (6), volume 14174 of Lecture Notes in Computer Science, page 547-563. Springer, (2023)A Meta-Gnn Approach to Personalized Seizure Detection and Classification., , and . ICASSP, page 1-5. IEEE, (2023)