Babajide O. Ayinde

Orcid: 0000-0001-7341-8799

Affiliations:
  • University of Louisville, KY, USA


According to our database1, Babajide O. Ayinde authored at least 20 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2019
Regularizing Deep Neural Networks by Enhancing Diversity in Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2019

Redundant feature pruning for accelerated inference in deep neural networks.
Neural Networks, 2019

Diversity Regularized Adversarial Learning.
CoRR, 2019

Energy Conservation in Wireless Sensor Networks Using Partly-Informed Sparse Autoencoder.
IEEE Access, 2019

On Correlation of Features Extracted by Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Diversity Regularized Adversarial Deep Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018
Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data.
IEEE Trans. Neural Networks Learn. Syst., 2018

Energy-Efficient Deployment of Relay Nodes in Wireless Sensor Networks Using Evolutionary Techniques.
Int. J. Wirel. Inf. Networks, 2018

Optimal Placement of Relay Nodes in Wireless Sensor Network Using Artificial Bees Colony Algorithm.
CoRR, 2018

Building Efficient ConvNets using Redundant Feature Pruning.
CoRR, 2018

A new CNN-based system for early diagnosis of prostate cancer.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Using resting state functional MRI to build a personalized autism diagnosis system.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Novel ADCs-Based CNN Classification System for Precise Diagnosis of Prostate Cancer.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Nonredundant sparse feature extraction using autoencoders with receptive fields clustering.
Neural Networks, 2017

Artificial Bee Colony-based Adaptive Position Control of Electrohydraulic Servo Systems with Parameter Uncertainty.
CoRR, 2017

2016
Optimal placement of relay nodes in wireless sensor network using artificial bee colony algorithm.
J. Netw. Comput. Appl., 2016

Clustering of receptive fields in Autoencoders.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
Backstepping-based output feedback control of an electro-hydraulic servo system.
Proceedings of the 12th IEEE International Multi-Conference on Systems, Signals & Devices, 2015

2014
Differential evolution based deployment of wireless sensor networks.
Proceedings of the 11th IEEE/ACS International Conference on Computer Systems and Applications, 2014


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