| Optimal placement of relay nodes in wireless sensor network using artificial bee colony algorithm HA Hashim, BO Ayinde, MA Abido Journal of Network and Computer Applications 64, 239-248, 2016 | 156 | 2016 |
| Redundant feature pruning for accelerated inference in deep neural networks BO Ayinde, T Inanc, JM Zurada Neural Networks 118, 148-158, 2019 | 124 | 2019 |
| Regularizing deep neural networks by enhancing diversity in feature extraction BO Ayinde, T Inanc, JM Zurada IEEE transactions on neural networks and learning systems 30 (9), 2650-2661, 2019 | 113 | 2019 |
| Using resting state functional MRI to build a personalized autism diagnosis system O Dekhil, H Hajjdiab, A Shalaby, MT Ali, B Ayinde, A Switala, ... PLOS ONE 13 (https://doi.org/10.1371/journal.pone.020), 1-22, 2018 | 112 | 2018 |
| Deep learning of nonnegativity-constrained autoencoders for enhanced understanding of data BO Ayinde, JM Zurada IEEE Transaction of Neural Networks and Learning Systems 29 (9), 3969 - 3979, 2018 | 77* | 2018 |
| A new CNN-based system for early diagnosis of prostate cancer I Reda, BO Ayinde, M Elmogy, A Shalaby, M El-Melegy, M Abou El-Ghar, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 67 | 2018 |
| Building efficient convnets using redundant feature pruning BO Ayinde, JM Zurada arXiv preprint arXiv:1802.07653, 2018 | 66 | 2018 |
| A novel adcs-based cnn classification system for precise diagnosis of prostate cancer I Reda, M Ghazal, A Shalaby, M Elmogy, A Abou El-Fetouh, BO Ayinde, ... 2018 24th International Conference on Pattern Recognition (ICPR), 3923-3928, 2018 | 37 | 2018 |
| Nonredundant sparse feature extraction using autoencoders with receptive fields clustering BO Ayinde, JM Zurada Neural Networks 93, 99-109, 2017 | 37 | 2017 |
| Differential evolution based deployment of wireless sensor networks BO Ayinde, AY Barnawi 2014 IEEE/ACS 11th International Conference on Computer Systems and …, 2014 | 33 | 2014 |
| Energy-efficient deployment of relay nodes in wireless sensor networks using evolutionary techniques BO Ayinde, HA Hashim International Journal of Wireless Information Networks 25 (2), 157-172, 2018 | 30 | 2018 |
| On correlation of features extracted by deep neural networks BO Ayinde, T Inanc, JM Zurada 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 27 | 2019 |
| Distance estimation using machine learning R Guo, B Ayinde, H Sun, K Oguchi US Patent 10,867,404, 2020 | 26 | 2020 |
| Visualizing and understanding nonnegativity constrained sparse autoencoder in deep learning BO Ayinde, E Hosseini-Asl, JM Zurada International Conference on Artificial Intelligence and Soft Computing, 3-14, 2016 | 24* | 2016 |
| Monocular Depth Estimation Using Synthetic Images With Shadow Removal* R Guo, B Ayinde, H Sun, H Muralidharan, K Oguchi 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1432-1439, 2019 | 20 | 2019 |
| Clustering of receptive fields in autoencoders BO Ayinde, JM Zurada 2016 International Joint Conference on Neural Networks (IJCNN), 1310-1317, 2016 | 16 | 2016 |
| Comparison of feedforward perceptron network with LSTM for solar cell radiation prediction T Ozdemir, F Taher, BO Ayinde, JM Zurada, O Tuzun Ozmen Applied Sciences 12 (9), 4463, 2022 | 14 | 2022 |
| Detection of honeycomb cell walls from measurement data based on Harris corner detection algorithm Y Qin, Z Dong, R Kang, J Yang, BO Ayinde Measurement Science and Technology 29 (6), 065004, 2018 | 14 | 2018 |
| Optimal tuning of fuzzy feedback filter for L1 adaptive controller using multi-objective particle swarm optimization for uncertain nonlinear MIMO systems HA Hashim, S El-Ferik, BO Ayinde, MA Abido arXiv preprint arXiv:1710.05423, 2017 | 14 | 2017 |
| Energy conservation in wireless sensor networks using partly-informed sparse autoencoder BO Ayinde, AY Barnawi IEEE Access 7, 63346-63360, 2019 | 12 | 2019 |
Jacek M. ZuradaProfessor of Electrical and Computer Engineering, University of LouisvilleVerified email at louisville.edu
