| Comparing local descriptors and bags of visual words to deep convolutional neural networks for plant recognition P Pawara, E Okafor, O Surinta, L Schomaker, M Wiering 6th international conference on pattern recognition applications and methods …, 2017 | 131 | 2017 |
| Data augmentation for plant classification P Pawara, E Okafor, L Schomaker, M Wiering Advanced Concepts for Intelligent Vision Systems: 18th International …, 2017 | 125 | 2017 |
| Deep neural networks with intersection over union loss for binary image segmentation F van Beers, A Lindström, E Okafor, M Wiering Proceedings of the 8th international conference on pattern recognition …, 2019 | 91 | 2019 |
| One-vs-One classification for deep neural networks P Pawara, E Okafor, M Groefsema, S He, LRB Schomaker, MA Wiering Pattern Recognition 108, 107528, 2020 | 65 | 2020 |
| Comparative study between deep learning and bag of visual words for wild-animal recognition E Okafor, P Pawara, F Karaaba, O Surinta, V Codreanu, L Schomaker, ... 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 58 | 2016 |
| Operational data augmentation in classifying single aerial images of animals E Okafor, R Smit, L Schomaker, M Wiering 2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017 | 39 | 2017 |
| An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals E Okafor, L Schomaker, MA Wiering Journal of Information and Telecommunication 2 (4), 465-491, 2018 | 36 | 2018 |
| An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks F Obite, AD Usman, E Okafor Digital Signal Processing 113, 103014, 2021 | 29 | 2021 |
| Using deep convolutional neural networks to predict goal-scoring opportunities in soccer M Wagenaar, E Okafor, W Frencken, M Wiering 6th International Conference on Pattern Recognition Applications and Methods …, 2017 | 24 | 2017 |
| Ensemble learning prediction of transmittance at different wavenumbers in natural hydroxyapatite E Okafor, DO Obada, D Dodoo-Arhin Scientific African 9, e00516, 2020 | 16 | 2020 |
| Heuristic and deep reinforcement learning-based PID control of trajectory tracking in a ball-and-plate system E Okafor, D Udekwe, Y Ibrahim, M Bashir Mu'azu, EG Okafor Journal of Information and Telecommunication 5 (2), 179-196, 2021 | 15 | 2021 |
| Hydroxyapatite materials-synthesis routes, mechanical behavior, theoretical insights, and artificial intelligence models: a review DO Obada, SA Osseni, H Sina, AN Oyedeji, KA Salami, E Okafor, S Csaki, ... Journal of the Australian Ceramic Society 59 (3), 565-596, 2023 | 8 | 2023 |
| Optimization of RBF-SVM hyperparameters using genetic algorithm for face recognit Y Ibrahim, E Okafor, B Yahaya Nigerian Journal of Technology 39 (4), 1190-1197, 2020 | 8 | 2020 |
| Deep learning for classification and as tapped-feature generator in medieval word-image recognition S Chanda, E Okafor, S Hamel, D Stutzmann, L Schomaker 2018 13th IAPR International Workshop on Document Analysis Systems (DAS …, 2018 | 8 | 2018 |
| Prediction of the reflection intensity of natural hydroxyapatite using generalized linear model and ensemble learning methods E Okafor, DO Obada, Y Ibrahim, D Dodoo‐Arhin Engineering Reports 3 (2), e12292, 2021 | 6 | 2021 |
| Comparative study of ensemble learning techniques for text classification Y Ibrahim, E Okafor, B Yahaya, SM Yusuf, ZM Abubakar, UY Bagaye 2021 1st International Conference on Multidisciplinary Engineering and …, 2021 | 5 | 2021 |
| Detection and recognition of badgers using deep learning E Okafor, G Berendsen, L Schomaker, M Wiering Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 5 | 2018 |
| The dual codebook: combining bags of visual words in image classification JL Maas, E Okafor, M Wiering Belgian-Dutch Artificial Intelligence Conference (BNAIC), 2016 | 5 | 2016 |
| Explainable machine learning for predicting the band gaps of ABX3 perovskites DO Obada, E Okafor, SA Abolade, AM Ukpong, D Dodoo-Arhin, A Akande Materials Science in Semiconductor Processing 161, 107427, 2023 | 4 | 2023 |
| Photovoltaic System MPPT Evaluation Using Classical, Meta-Heuristics, and Reinforcement Learning-Based Controllers: A Comparative Study EG Okafor, D Udekwe, OC Ubadike, E Okafor, PO Jemitola, MT Abba Journal of Southwest Jiaotong University 56 (3), 2021 | 4 | 2021 |
Marco WieringInstitute of Artificial Intelligence and Cognitive Engineering, University of GroningenBestätigte E-Mail-Adresse bei rug.nl
