Emmanuel Okafor

Orcid: 0000-0001-6929-6880

According to our database1, Emmanuel Okafor authored at least 19 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Explainable deep learning diagnostic system for prediction of lung disease from medical images.
Comput. Biol. Medicine, March, 2024

Deep reinforcement learning with light-weight vision model for sequential robotic object sorting.
J. King Saud Univ. Comput. Inf. Sci., January, 2024

Comparing actor-critic deep reinforcement learning controllers for enhanced performance on a ball-and-plate system.
Expert Syst. Appl., 2024

AIWR: Aerial Image Water Resource Dataset for Segmentation Analysis.
CoRR, 2024

Improving Neural Network-Based Multi-Label Classification With Pattern Loss Penalties.
IEEE Access, 2024

Robust Model Selection for Plant Leaf Image Recognition Based on Evolutionary Ant Colony Optimization With Learning Rate Schedule.
IEEE Access, 2024

2023
Explainable Artificial Intelligence for Prediction of Non-Technical Losses in Electricity Distribution Networks.
IEEE Access, 2023

2021
Heuristic and deep reinforcement learning-based PID control of trajectory tracking in a ball-and-plate system.
J. Inf. Telecommun., 2021

An overview of deep reinforcement learning for spectrum sensing in cognitive radio networks.
Digit. Signal Process., 2021

2020
One-vs-One classification for deep neural networks.
Pattern Recognit., 2020

2019
Deep Neural Networks with Intersection over Union Loss for Binary Image Segmentation.
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.
J. Inf. Telecommun., 2018

Detection and Recognition of Badgers Using Deep Learning.
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.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

2017
Operational data augmentation in classifying single aerial images of animals.
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.
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.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Data Augmentation for Plant Classification.
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.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016


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