| Performance analysis of machine learning and pattern recognition algorithms for malware classification BN Narayanan, O Djaneye-Boundjou, TM Kebede 2016 IEEE national aerospace and electronics conference (NAECON) and ohio …, 2016 | 169 | 2016 |
| Deep learning methods for sensor based predictive maintenance and future perspectives for electrochemical sensors S Namuduri, BN Narayanan, VSP Davuluru, L Burton, S Bhansali Journal of The Electrochemical Society 167 (3), 037552, 2020 | 148 | 2020 |
| Classification of malware programs using autoencoders based deep learning architecture and its application to the microsoft malware classification challenge (big 2015) dataset TM Kebede, O Djaneye-Boundjou, BN Narayanan, A Ralescu, D Kapp 2017 IEEE National Aerospace and Electronics Conference (NAECON), 70-75, 2017 | 73 | 2017 |
| Performance analysis of machine learning and deep learning architectures for malaria detection on cell images BN Narayanan, R Ali, RC Hardie Applications of Machine Learning 11139, 240-247, 2019 | 69 | 2019 |
| Optimized feature selection-based clustering approach for computer-aided detection of lung nodules in different modalities BN Narayanan, RC Hardie, TM Kebede, MJ Sprague Pattern Analysis and Applications 22, 559-571, 2019 | 63 | 2019 |
| IMNets: Deep learning using an incremental modular network synthesis approach for medical imaging applications R Ali, RC Hardie, BN Narayanan, TM Kebede Applied Sciences 12 (11), 5500, 2022 | 55 | 2022 |
| Ensemble malware classification system using deep neural networks BN Narayanan, VSP Davuluru Electronics 9 (5), 721, 2020 | 55 | 2020 |
| Deep learning ensemble methods for skin lesion analysis towards melanoma detection R Ali, RC Hardie, BN Narayanan, S De Silva 2019 IEEE National Aerospace and electronics conference (NAECON), 311-316, 2019 | 55 | 2019 |
| Performance analysis of a computer-aided detection system for lung nodules in CT at different slice thicknesses BN Narayanan, RC Hardie, TM Kebede Journal of Medical Imaging 5 (1), 014504-014504, 2018 | 49 | 2018 |
| Support vector machine and convolutional neural network based approaches for defect detection in fused filament fabrication BN Narayanan, K Beigh, G Loughnane, N Powar Applications of Machine Learning 11139, 283-291, 2019 | 44 | 2019 |
| Transfer-to-transfer learning approach for computer aided detection of COVID-19 in chest radiographs BN Narayanan, RC Hardie, V Krishnaraja, C Karam, VSP Davuluru AI 1 (4), 539-557, 2020 | 36 | 2020 |
| Convolutional neural network for classification of histopathology images for breast cancer detection BN Narayanan, V Krishnaraja, R Ali 2019 IEEE National Aerospace and electronics conference (NAECON), 291-295, 2019 | 35 | 2019 |
| Understanding deep neural network predictions for medical imaging applications BN Narayanan, MS De Silva, RC Hardie, NK Kueterman, R Ali arXiv preprint arXiv:1912.09621, 2019 | 34 | 2019 |
| Hybrid machine learning architecture for automated detection and grading of retinal images for diabetic retinopathy BN Narayanan, RC Hardie, MS De Silva, NK Kueterman Journal of Medical Imaging 7 (3), 034501-034501, 2020 | 32 | 2020 |
| Convolutional neural networks as classification tools and feature extractors for distinguishing malware programs VSP Davuluru, BN Narayanan, EJ Balster 2019 IEEE National Aerospace and Electronics Conference (NAECON), 273-278, 2019 | 29 | 2019 |
| Two-stage deep learning architecture for pneumonia detection and its diagnosis in chest radiographs BN Narayanan, VSP Davuluru, RC Hardie Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020 | 27 | 2020 |
| Multiframe adaptive Wiener filter super-resolution with JPEG2000-compressed images BN Narayanan, RC Hardie, EJ Balster EURASIP journal on Advances in Signal Processing 2014, 1-18, 2014 | 27 | 2014 |
| Combination of traditional and deep learning based architectures to overcome class imbalance and its application to malware classification T Messay-Kebede, BN Narayanan, O Djaneye-Boundjou NAECON 2018-IEEE national aerospace and electronics conference, 73-77, 2018 | 24 | 2018 |
| A computationally efficient u-net architecture for lung segmentation in chest radiographs BN Narayanan, RC Hardie 2019 IEEE National Aerospace and Electronics Conference (NAECON), 279-284, 2019 | 19 | 2019 |
| Performance analysis of feature selection techniques for support vector machine and its application for lung nodule detection BN Narayanan, RC Hardie, TM Kebede NAECON 2018-IEEE National Aerospace and Electronics Conference, 262-266, 2018 | 18 | 2018 |
Russell C. HardieUniversity of Dayton在 udayton.edu 的电子邮件经过验证
