Deep learning in vision-based static hand gesture recognition von Oyedotun, Oyebade K., Khashman, Adnan

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Why Is Everyone Training Very Deep Neural Network With Skip Connections? von Oyedotun, Oyebade K., Ismaeil, Kassem Al, Aouada, Djamila

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Prototype-Incorporated Emotional Neural Network von Oyedotun, Oyebade K., Khashman, Adnan

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Improved Highway Network Block for Training Very Deep Neural Networks von Oyedotun, Oyebade K., Shabayek, Abd El Rahman, Aouada, Djamila, Ottersten, Bjorn

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A new perspective for understanding generalization gap of deep neural networks trained with large batch sizes von Oyedotun, Oyebade K., Papadopoulos, Konstantinos, Aouada, Djamila

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Document segmentation using textural features summarization and feedforward neural network von Oyedotun, Oyebade K., Khashman, Adnan

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Banknote recognition: investigating processing and cognition framework using competitive neural network von Oyedotun, Oyebade K., Khashman, Adnan

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Deep network compression with teacher latent subspace learning and LASSO von Oyedotun, Oyebade K., Shabayek, Abd El Rahman, Aouada, Djamila, Ottersten, Björn

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Short term load forecasting using particle swarm optimization neural network von Ozerdem, Ozgur Cemal, Olaniyi, Ebenezer O., Oyedotun, Oyebade K.

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Going Deeper with Neural Networks Without Skip Connections von Oyedotun, O. K., Shabayek, A. E. R., Aouada, D., Ottersten, Björn

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Pattern Recognition: Invariance Learning in Convolutional Auto Encoder Network von K. Oyedotun, Oyebade, Dimililer, Kamil

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SEMINAL QUALITY EVALUATION WITH RBF NEURAL NETWORK von Helwan, Abdulkader, Khashman, Adnan, Olaniyi, Ebenezer O, Oyedotun, Oyebade K, Oyedotun, Oyetade A

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Deep Learning in Character Recognition Considering Pattern Invariance Constraints von Oyedotun, Oyebade K., Olaniyi, Ebenezer O., Khashman, Adnan

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Data Mining of Students’ Performance: Turkish Students as a Case Study von Oyedotun, Oyebade K., Tackie, Sam Nii, Olaniyi, Ebenezer O., Khashman, Adnan

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Training very deep neural networks: Rethinking the role of skip connections von Oyedotun, Oyebade K., Ismaeil, Kassem Al, Aouada, Djamila

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Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work? von Oyedotun, Oyebade K., Aouada, Djamila

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DIABETIC RETINOPATHY DIAGNOSIS USING NEURAL NETWORK ARBITRATION von Adekunle, Adefemi A, Khashman, Adnan, Olaniyi, Ebenezer O, Oyedotun, Oyebade K

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A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes von Oyedotun, Oyebade K, Papadopoulos, Konstantinos, Aouada, Djamila

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Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections von Oyedotun, Oyebade K., El Rahman Shabayek, Abd, Aouada, Djamila, Ottersten, Björn

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A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes von Oyedotun, Oyebade K, Papadopoulos, Konstantinos, Aouada, Djamila

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