TY  - CPAPER
AU  - López González, Clara Isabel
AU  - Gómez-Silva, María J.
AU  - Besada Portas, Eva
AU  - Pajares, Gonzalo
PY  - 2024
DO  - 10.1007/978-3-031-62799-6_14
SN  - 9783031627989
SN  - 9783031627996
SN  - 0302-9743
UR  - https://hdl.handle.net/20.500.14352/122286
AB  - The exceptional performance of Convolutional Neural Networks (CNNs) entails increasing requirements in computing power and storage. While several efficient compression methods have been developed, there is no consideration on which features are...
LA  - eng
M2  - 131
KW  - Convolutional Neural Networks
KW  - Explainable Artificial Intelligence
KW  - Compression Methods
KW  - Factor Analysis
TI  - Preserving the essential features in CNNs: pruning and analysis
TY  - conference paper
ER  -