@inproceedings{ouriha:hal-04217819,
TITLE = {Decision Boundary to Improve the Sensitivity of Deep Neural Networks Models},
AUTHOR = {Ouriha, Mohamed and El Habouz, Youssef and El Mansouri, Omar},
URL = {https://hal.science/hal-04217819},
BOOK
TITLE = {7th International Conference on Business Intelligence, CBI 2022},
ADDRESS = {Khouribga, Morocco},
SERIES = {Lecture Notes in Business Information Processing},
VOLUME = {449 LNBIP},
PAGES = {50-60},
YEAR = {2022},
MONTH = May, DOI = {10.1007/978-3-031-06458-6\_4},
KEYWORDS = {Classification (of information) ; Deep neural networks ; Efficiency ; Image enhancement ; Adversial training ; Boundary decision ; Decision boundary ; Images classification ; Input perturbation ; Learning models ; Neural network model ; Neural networks classifiers ; Performance ; Small inputs ; Image classification},
HAL_ID = {hal-04217819},
HAL_VERSION = {v1},
}