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Tarek M. Taha
Tarek M. Taha
Electrical and Computer Engineering, University of Dayton
Verified email at udayton.edu - Homepage
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Cited by
Year
A State-of-the-Art Survey on Deep Learning Theory and Architectures
MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, MS Nasrin, ...
Electronics 8 (3), 292, 2019
15272019
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
M Zahangir Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, ...
arXiv preprint arXiv:1803.01164, 2018
12652018
The history began from alexnet: A comprehensive survey on deep learning approaches
MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, MS Nasrin, ...
arXiv preprint arXiv:1803.01164, 2018
12512018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari
arXiv preprint arXiv:1802.06955, 2018
11832018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
M Zahangir Alom, M Hasan, C Yakopcic, TM Taha, VK Asari
arXiv preprint arXiv:1802.06955, 2018
11832018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari
1183*
Recurrent residual U-Net for medical image segmentation
MZ Alom, C Yakopcic, M Hasan, TM Taha, VK Asari
Journal of Medical Imaging 6 (1), 014006, 2019
5862019
A memristor device model
C Yakopcic, TM Taha, G Subramanyam, RE Pino, S Rogers
IEEE electron device letters 32 (10), 1436-1438, 2011
3532011
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
MZ Alom, C Yakopcic, TM Taha, VK Asari
arXiv preprint arXiv:1811.04241, 2018
3172018
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
M Zahangir Alom, C Yakopcic, TM Taha, VK Asari
arXiv preprint arXiv:1811.04241, 2018
317*2018
Intrusion Detection Using Deep Belief Network and Extreme Learning Machine
Z Alom, VR Bontupalli, TM Taha
Artificial Intelligence: Concepts, Methodologies, Tools, and Applications …, 2016
300*2016
Intrusion detection using deep belief networks
MZ Alom, VR Bontupalli, TM Taha
Aerospace and Electronics Conference (NAECON), 2015 National, 339-344, 2015
2782015
Generalized memristive device SPICE model and its application in circuit design
C Yakopcic, TM Taha, G Subramanyam, RE Pino
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2013
2502013
Nuclei Segmentation with Recurrent Residual Convolutional Neural Networks based U-Net (R2U-Net)
MZ Alom, C Yakopcic, TM Taha, VK Asari
NAECON 2018-IEEE National Aerospace and Electronics Conference, 228-233, 2018
2152018
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
MZ Alom, MM Rahman, MS Nasrin, TM Taha, VK Asari
arXiv preprint arXiv:2004.03747, 2020
1862020
Advances in neuromorphic memristor science and applications
R Kozma, RE Pino, GE Pazienza
Springer Science & Business Media, 2012
1792012
Improved Inception-Residual Convolutional Neural Network for Object Recognition
MZ Alom, M Hasan, C Yakopcic, TM Taha, VK Asari
arXiv preprint arXiv:1712.09888, 2017
1322017
Improved Inception-Residual Convolutional Neural Network for Object Recognition
M Zahangir Alom, M Hasan, C Yakopcic, TM Taha, VK Asari
arXiv preprint arXiv:1712.09888, 2017
132*2017
Memristor crossbar deep network implementation based on a Convolutional neural network
C Yakopcic, MZ Alom, TM Taha
Neural Networks (IJCNN), 2016 International Joint Conference on, 963-970, 2016
1262016
FPGA implementation of Izhikevich spiking neural networks for character recognition
KL Rice, MA Bhuiyan, TM Taha, CN Vutsinas, MC Smith
Reconfigurable Computing and FPGAs, 2009. ReConFig'09. International …, 2009
1202009
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