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Publication search results
found 11 matches
- 2024
- Iosu Rodríguez-Martínez
, Pablo Ursua-Medrano
, Javier Fernández, Zdenko Takác
, Humberto Bustince
:
A study on the suitability of different pooling operators for Convolutional Neural Networks in the prediction of COVID-19 through chest x-ray image analysis. Expert Syst. Appl. 235: 121162 (2024) - 2023
- Bogdan Raonic, Roberto Molinaro, Tim De Ryck, Tobias Rohner, Francesca Bartolucci, Rima Alaifari, Siddhartha Mishra, Emmanuel de Bézenac:
Convolutional Neural Operators for robust and accurate learning of PDEs. NeurIPS 2023 - Bogdan Raonic, Roberto Molinaro, Tobias Rohner, Siddhartha Mishra, Emmanuel de Bézenac:
Convolutional Neural Operators. CoRR abs/2302.01178 (2023) - 2022
- Ali Kafaei Zad Tehrani, Hassan Rivaz:
Infusing known operators in convolutional neural networks for lateral strain imaging in ultrasound elastography. CoRR abs/2211.00172 (2022) - 2021
- Kevin Potter, Steven Sleder, Matthew Smith, Shehan Perera, Alper Yilmaz, John Tencer:
Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks. ICCVW 2021: 904-912 - 2019
- Feng Yu
, Jonathan M. Harbor:
CSTAT+: A GPU-accelerated spatial pattern analysis algorithm for high-resolution 2D/3D hydrologic connectivity using array vectorization and convolutional neural network operators. Environ. Model. Softw. 120 (2019) - Seung-Wook Kim, Sung-Jin Cho, Kwang-Hyun Uhm, Seo-Won Ji, Sang-Won Lee, Sung-Jea Ko:
Evaluating Parameterization Methods for Convolutional Neural Network (CNN)-Based Image Operators. CVPR Workshops 2019: 1862-1870 - Sheng Chen, Xu Wang, Chao Chen, Yifan Lu, Xijin Zhang, Linfu Wen:
DeepSquare: Boosting the Learning Power of Deep Convolutional Neural Networks with Elementwise Square Operators. CoRR abs/1906.04979 (2019) - 2018
- Matan Atzmon, Haggai Maron, Yaron Lipman:
Point convolutional neural networks by extension operators. ACM Trans. Graph. 37(4): 71 (2018) - Matan Atzmon, Haggai Maron, Yaron Lipman:
Point Convolutional Neural Networks by Extension Operators. CoRR abs/1803.10091 (2018) - Shih-Chung Ben Lo, Matthew T. Freedman, Seong Ki Mun, Shuo Gu:
Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators. CoRR abs/1806.03636 (2018)
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