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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)

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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)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)High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance., , , and . ICASSP, page 4237-4241. IEEE, (2020)A Meta-Gnn Approach to Personalized Seizure Detection and Classification., , and . ICASSP, page 1-5. IEEE, (2023)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)Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective., , , , and . IEEE Signal Process. Mag., 39 (4): 119-129 (2022)Annihilation Filter Approach for Estimating Graph Dynamics from Diffusion Processes., and . ICASSP, page 5583-5587. IEEE, (2022)Gaussian Processes Over Graphs., , and . ICASSP, page 5640-5644. IEEE, (2020)