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2020 – today
- 2024
[j10]Worawith Sangkatip
, Phatthanaphong Chomphuwiset, Kaveepoj Bunluewong, Sakorn Mekruksavanich, Emmanuel Okafor, Olarik Surinta:
Improving Neural Network-Based Multi-Label Classification With Pattern Loss Penalties. IEEE Access 12: 52237-52248 (2024)- [j9]Thipwimon Chompookham, Sirawan Phiphiphatphaisit, Emmanuel Okafor, Olarik Surinta:
Robust Model Selection for Plant Leaf Image Recognition Based on Evolutionary Ant Colony Optimization With Learning Rate Schedule. IEEE Access 12: 132369-132389 (2024) - [j8]Nussair Adel Hroub, Ali Nader Alsannaa, Maad Alowaifeer, Motaz Alfarraj, Emmanuel Okafor:
Explainable deep learning diagnostic system for prediction of lung disease from medical images. Comput. Biol. Medicine 170: 108012 (2024) - [j7]Daniel Udekwe, Ore-ofe Ajayi, Osichinaka Ubadike, Kumater Ter, Emmanuel Okafor:
Comparing actor-critic deep reinforcement learning controllers for enhanced performance on a ball-and-plate system. Expert Syst. Appl. 245: 123055 (2024) - [j6]Emmanuel Okafor, Mojeed Opeyemi Oyedeji, Motaz Alfarraj:
Deep reinforcement learning with light-weight vision model for sequential robotic object sorting. J. King Saud Univ. Comput. Inf. Sci. 36(1): 101896 (2024) - 2023
- [j5]Obumneme Nwafor, Emmanuel Okafor, Ahmed A. Aboushady, Chioma Nwafor, Chengke Zhou:
Explainable Artificial Intelligence for Prediction of Non-Technical Losses in Electricity Distribution Networks. IEEE Access 11: 73104-73115 (2023) - 2021
- [j4]Felix Obite, Aliyu D. Usman, Emmanuel Okafor:
An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks. Digit. Signal Process. 113: 103014 (2021) - [j3]Emmanuel Okafor, Daniel Udekwe, Yusuf Ibrahim, Muhammed Bashir Mu'azu, Ekene Gabriel Okafor:
Heuristic and deep reinforcement learning-based PID control of trajectory tracking in a ball-and-plate system. J. Inf. Telecommun. 5(2): 179-196 (2021) - 2020
- [j2]Pornntiwa Pawara, Emmanuel Okafor, Marc Groefsema, Sheng He, Lambert R. B. Schomaker, Marco A. Wiering:
One-vs-One classification for deep neural networks. Pattern Recognit. 108: 107528 (2020)
2010 – 2019
- 2019
- [c8]Floris van Beers, Arvid Lindström, Emmanuel Okafor, Marco A. Wiering:
Deep Neural Networks with Intersection over Union Loss for Binary Image Segmentation. ICPRAM 2019: 438-445 - 2018
- [j1]Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering:
An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals. J. Inf. Telecommun. 2(4): 465-491 (2018) - [c7]Sukalpa Chanda, Emmanuel Okafor, Sébastien Hamel, Dominique Stutzmann, Lambert Schomaker:
Deep Learning for Classification and as Tapped-Feature Generator in Medieval Word-Image Recognition. DAS 2018: 217-222 - [c6]Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco A. Wiering:
Detection and Recognition of Badgers Using Deep Learning. ICANN (3) 2018: 554-563 - 2017
- [c5]Pornntiwa Pawara, Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering:
Data Augmentation for Plant Classification. ACIVS 2017: 615-626 - [c4]Martijn Wagenaar, Emmanuel Okafor, Wouter Frencken, Marco A. Wiering:
Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer. ICPRAM 2017: 448-455 - [c3]Pornntiwa Pawara, Emmanuel Okafor, Olarik Surinta, Lambert Schomaker, Marco A. Wiering:
Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition. ICPRAM 2017: 479-486 - [c2]Emmanuel Okafor, Rik Smit, Lambert Schomaker, Marco A. Wiering:
Operational data augmentation in classifying single aerial images of animals. INISTA 2017: 354-360 - 2016
- [c1]Emmanuel Okafor, Pornntiwa Pawara, Faik Karaaba, Olarik Surinta, Valeriu Codreanu, Lambert Schomaker, Marco A. Wiering:
Comparative study between deep learning and bag of visual words for wild-animal recognition. SSCI 2016: 1-8
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