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Tarek M. Taha
Tarek M. Taha
Electrical and Computer Engineering, University of Dayton
在 udayton.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
12722019
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
11042018
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
10942018
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
9722018
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
9722018
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
972*
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
4722019
A memristor device model
C Yakopcic, TM Taha, G Subramanyam, RE Pino, S Rogers
IEEE electron device letters 32 (10), 1436-1438, 2011
3332011
Intrusion Detection Using Deep Belief Network and Extreme Learning Machine
Z Alom, VR Bontupalli, TM Taha
Artificial Intelligence: Concepts, Methodologies, Tools, and Applications …, 2016
281*2016
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
2732018
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
273*2018
Intrusion detection using deep belief networks
MZ Alom, VR Bontupalli, TM Taha
Aerospace and Electronics Conference (NAECON), 2015 National, 339-344, 2015
2632015
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
2382013
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
1892018
Advances in neuromorphic memristor science and applications
R Kozma, RE Pino, GE Pazienza
Springer Science & Business Media, 2012
1702012
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
1682020
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
1232017
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
123*2017
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
1172009
Memristor SPICE model and crossbar simulation based on devices with nanosecond switching time
C Yakopcic, TM Taha, G Subramanyam, RE Pino
Neural Networks (IJCNN), The 2013 International Joint Conference on, 1-7, 2013
1112013
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