Emmanuel Okafor

According to our database, Emmanuel Okafor authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explainable deep learning diagnostic system for prediction of lung disease from medical images.

Nussair Adel Hroub, Ali Nader Alsannaa, Maad Alowaifeer, Motaz Alfarraj, Emmanuel Okafor

Comput. Biol. Medicine, March, 2024

Deep reinforcement learning with light-weight vision model for sequential robotic object sorting.

Emmanuel Okafor, Mojeed Opeyemi Oyedeji, Motaz Alfarraj

J. King Saud Univ. Comput. Inf. Sci., January, 2024

2023

Explainable Artificial Intelligence for Prediction of Non-Technical Losses in Electricity Distribution Networks.

Obumneme Nwafor, Emmanuel Okafor, Ahmed A. Aboushady, Chioma Nwafor, Chengke Zhou

IEEE Access, 2023

2021

Heuristic and deep reinforcement learning-based PID control of trajectory tracking in a ball-and-plate system.

Emmanuel Okafor, Daniel Udekwe, Yusuf Ibrahim, Muhammed Bashir Mu'azu, Ekene Gabriel Okafor

J. Inf. Telecommun., 2021

An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks.

Felix Obite, Aliyu D. Usman, Emmanuel Okafor

Digit. Signal Process., 2021

2020

One-vs-One classification for deep neural networks.

Pornntiwa Pawara, Emmanuel Okafor, Marc Groefsema, Sheng He, Lambert R. B. Schomaker, Marco A. Wiering

Pattern Recognit., 2020

2019

Deep Neural Networks with Intersection over Union Loss for Binary Image Segmentation.

Floris van Beers, Arvid Lindström, Emmanuel Okafor, Marco A. Wiering

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018

An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals.

Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering

J. Inf. Telecommun., 2018

Detection and Recognition of Badgers Using Deep Learning.

Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco A. Wiering

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Deep Learning for Classification and as Tapped-Feature Generator in Medieval Word-Image Recognition.

Sukalpa Chanda, Emmanuel Okafor, Sébastien Hamel, Dominique Stutzmann, Lambert Schomaker

Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017

Operational data augmentation in classifying single aerial images of animals.

Emmanuel Okafor, Rik Smit, Lambert Schomaker, Marco A. Wiering

Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer.

Martijn Wagenaar, Emmanuel Okafor, Wouter Frencken, Marco A. Wiering

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition.

Pornntiwa Pawara, Emmanuel Okafor, Olarik Surinta, Lambert Schomaker, Marco A. Wiering

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Data Augmentation for Plant Classification.

Pornntiwa Pawara, Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2016

Comparative study between deep learning and bag of visual words for wild-animal recognition.

Emmanuel Okafor, Pornntiwa Pawara, Faik Karaaba, Olarik Surinta, Valeriu Codreanu, Lambert Schomaker, Marco A. Wiering

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016