Incremental trainable parameter selection in deep neural networks by Thakur, A, Abrol, V, Sharma, P, Zhu, T, Clifton, DA

Calibrating deep neural networks using focal loss by Mukhoti, J, Kulharia, V, Sanyal, A, Golodetz, S, Torr, PHS, Dokania, PK

“…Miscalibration -- a mismatch between a model's confidence and its correctness -- of Deep Neural Networks (DNNs) makes their predictions hard to rely on. …”

Ontology reasoning with deep neural networks (extended abstract) by Hohenecker, P, Lukasiewicz, T

Safety verification for deep neural networks with provable guarantees by Kwiatkowska, M

“…This paper describes progress with developing automated verification techniques for deep neural networks to ensure safety and robustness of their decisions with respect to input perturbations. …”

Deep neural network initialization with sparsity inducing activations by Price, I, Daultry Ball, N, Jones, AC, Chun Hei Lam, S, Tanner, J

Efficient parametrization of multi-domain deep neural networks by Rebuffi, S, Bilen, H, Vedaldi, A

“…<p>A practical limitation of deep neural networks is their high degree of specialization to a single task and visual domain. …”

Robustness evaluation of deep neural networks with provable guarantees by Wu, M

“…<p>This thesis presents methodologies to guarantee the robustness of deep neural networks, thus facilitating the deployment of deep learning techniques in safety-critical real-world systems. …”

Mappings, dimensionality and reversing out of deep neural networks by Cui, Z, Grindrod, P

Exposing previously undetectable faults in deep neural networks by Dunn, I, Pouget, H, Kroening, D, Melham, T

Context-based image explanations for deep neural networks by Anjomshoae, S, Omeiza, D, Jiang, L

Sleep staging using wearables and deep neural networks by Davidson, S, Harford, M, Tarassenko, L, Carter, J, Roman, C

“…This paper investigates how the accuracy of a deep neural network model trained on the Sleep Heart Health Study database varies with the age of the subject. …”

Reachability analysis of deep neural networks with provable guarantees by Ruan, W, Huang, X, Kwiatkowska, MZ

“…Verifying correctness for deep neural networks (DNNs) is challenging. We study a generic reachability problem for feed-forward DNNs which, for a given set of inputs to the network and a Lipschitz-continuous function over its outputs computes the lower and upper bound on the function values. …”

Baby cry recognition using deep neural networks by Yong, B.F., Ting, H.N., Ng, K.H.

“…Usually RBN is used with another deep neural network to form the deep belief networks (DBN), and the studies in this direction is heading towards the convolutional-RBN variant. …”
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Deep neural network models for colon cancer screening by Muthu Subash Kavitha, Prakash Gangadaran, Aurelia Jackson, Balu Alagar Venmathi Maran, Takio Kurita, Ahn, Byeong-Cheol

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Classification of brain functional connectivity using deep neural network / by 626146 Wan Nur Shahirah Shahriman, 1994- author, Ting, Chee Ming, 1981- supervisor 527412, Fakulti Kejuruteraan Bioperubatan dan Sains Kesihatan 505647

Classification of brain functional connectivity using deep neural network / by 626146 Wan Nur Shahirah Shahriman, 1994- author

Parameter prediction for Lorenz Attractor by using Deep Neural Network by Nurnajmin Qasrina Ann, Ayop Azmi, Pebrianti, Dwi, Mohammad Fadhil, Abas, Bayuaji, Luhur, Syafrullah, Muhammad

“…This research presents Deep Neural Network to learn the database, which consists of high precision, a strange Lorenz attractor. …”
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Hyperparameter tuning of deep neural network in time series forecasting by Xiang, Kelly Pang Li, Syafrina, Abdul Halim, Nur Haizum, Abd Rahman

“…Since ANN is a type of Deep Neural Network (DNN), DANNs fall under the broader DNN category and are widely used in time series forecasting. …”
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Deep neural network-based fusion localization using smartphones by Yan, Suqing, Su, Yalan, Xiao, Jianming, Luo, Xiaonan, Ji, Yuanfa, Kamarul Hawari, Ghazali

“…To address this issue, we propose a deep neural network-based fusion indoor localization system that integrates magnetic and pedestrian dead reckoning (PDR). …”
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Diagnosis of abnormal body temperature based on deep neural network by Jinxiang Peng, Li Zhang

Subjects: “…deep neural network…”
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