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Synthetic Data generation using DCGAN for improved traffic sign recognition
Synthetic Data generation using DCGAN for improved traffic sign recognition
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Synthetic Data generation using DCGAN for improved traffic sign recognition

Dewi, Christine ; Chen, Rung-Ching ; Liu, Yan-Ting ; Tai, Shao-Kuo

Neural computing & applications, 2022-12, Vol.34 (24), p.21465-21480 [Periódico revisado por pares]

London: Springer London

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Predicting image credibility in fake news over social media using multi-modal approach
Predicting image credibility in fake news over social media using multi-modal approach
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Predicting image credibility in fake news over social media using multi-modal approach

Singh, Bhuvanesh ; Sharma, Dilip Kumar

Neural computing & applications, 2022-12, Vol.34 (24), p.21503-21517 [Periódico revisado por pares]

London: Springer London

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3
Enhanced balancing GAN: minority-class image generation
Enhanced balancing GAN: minority-class image generation
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Enhanced balancing GAN: minority-class image generation

Huang, Gaofeng ; Jafari, Amir Hossein

Neural computing & applications, 2023-03, Vol.35 (7), p.5145-5154 [Periódico revisado por pares]

London: Springer London

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4
Understanding cartoon emotion using integrated deep neural network on large dataset
Understanding cartoon emotion using integrated deep neural network on large dataset
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Understanding cartoon emotion using integrated deep neural network on large dataset

Jain, Nikita ; Gupta, Vedika ; Shubham, Shubham ; Madan, Agam ; Chaudhary, Ankit ; Santosh, K. C.

Neural computing & applications, 2022-12, Vol.34 (24), p.21481-21501 [Periódico revisado por pares]

London: Springer London

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5
Global-local attention for emotion recognition
Global-local attention for emotion recognition
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Global-local attention for emotion recognition

Le, Nhat ; Nguyen, Khanh ; Nguyen, Anh ; Le, Bac

Neural computing & applications, 2022-12, Vol.34 (24), p.21625-21639 [Periódico revisado por pares]

London: Springer London

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6
EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation
EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation
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EMOCGAN: a novel evolutionary multiobjective cyclic generative adversarial network and its application to unpaired image translation

Bharti, Vandana ; Biswas, Bhaskar ; Shukla, Kaushal Kumar

Neural computing & applications, 2022-12, Vol.34 (24), p.21433-21447 [Periódico revisado por pares]

London: Springer London

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7
Effective training of convolutional neural networks for age estimation based on knowledge distillation
Effective training of convolutional neural networks for age estimation based on knowledge distillation
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Effective training of convolutional neural networks for age estimation based on knowledge distillation

Greco, Antonio ; Saggese, Alessia ; Vento, Mario ; Vigilante, Vincenzo

Neural computing & applications, 2022-12, Vol.34 (24), p.21449-21464 [Periódico revisado por pares]

London: Springer London

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8
Towards end-to-end car license plate location and recognition in unconstrained scenarios
Towards end-to-end car license plate location and recognition in unconstrained scenarios
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Towards end-to-end car license plate location and recognition in unconstrained scenarios

Qin, Shuxin ; Liu, Sijiang

Neural computing & applications, 2022-12, Vol.34 (24), p.21551-21566 [Periódico revisado por pares]

London: Springer London

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9
Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm
Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm
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Enhanced classification of remotely sensed hyperspectral images through efficient band selection using autoencoders and genetic algorithm

Singh, Pangambam Sendash ; Karthikeyan, Subbiah

Neural computing & applications, 2022-12, Vol.34 (24), p.21539-21550 [Periódico revisado por pares]

London: Springer London

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10
Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising
Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising
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Detect and defense against adversarial examples in deep learning using natural scene statistics and adaptive denoising

Kherchouche, Anouar ; Fezza, Sid Ahmed ; Hamidouche, Wassim

Neural computing & applications, 2022-12, Vol.34 (24), p.21567-21582 [Periódico revisado por pares]

London: Springer London

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