On the design of multi-dimensional compactly supported Parseval framelets with directional characteristics N Atreas, N Karantzas, M Papadakis, T Stavropoulos Linear Algebra and its Applications 582, 1-36, 2019 | 14 | 2019 |
Structured receptive field networks and applications to hyperspectral image classification D Labate, K Safari, N Karantzas, S Prasad, FF Shahraki Wavelets and Sparsity XVIII 11138, 218-226, 2019 | 9 | 2019 |
Understanding robustness and generalization of artificial neural networks through fourier masks N Karantzas, E Besier, J Ortega Caro, X Pitkow, AS Tolias, AB Patel, ... Frontiers in Artificial Intelligence 5, 890016, 2022 | 5 | 2022 |
Blind image inpainting with sparse directional filter dictionaries for lightweight CNNs J Schmalfuss, E Scheurer, H Zhao, N Karantzas, A Bruhn, D Labate Journal of Mathematical Imaging and Vision 65 (2), 323-339, 2023 | 4 | 2023 |
Compactly supported frame wavelets and applications in convolutional neural networks N Karantzas, K Safari, M Haque, S Sarmadi, M Papadakis Wavelets and Sparsity XVIII 11138, 152-164, 2019 | 4 | 2019 |
Exploring neuronal synapses with directional and symmetric frame filters with small support N Atreas, N Karantzas, M Papadakis, T Stavropoulos Wavelets and Sparsity XVII 10394, 257-274, 2017 | 2 | 2017 |
Relating implicit bias and adversarial attacks through intrinsic dimension L Basile, N Karantzas, A d'Onofrio, L Bortolussi, A Rodriguez, F Anselmi arXiv preprint arXiv:2305.15203, 2023 | 1 | 2023 |
On the connection problem for the p-Laplacian system for potentials with several global minima N Karantzas arXiv preprint arXiv:1311.1135, 2013 | 1 | 2013 |
Compactly Supported Frame Wavelets and Applications N Karantzas University of Houston, 2019 | | 2019 |
Image inpainting using sparse multiscale representations and Convolutional Neural Networks D Labate, J Schmalfuss, N Karantzas 2022 Virtual Joint Mathematics Meetings (JMM 2022), 0 | | |