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Chrisina Jayne
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Publications
- 2022
- [c30]Adamu Ali-Gombe, Eyad Elyan, Carlos Francisco Moreno-García, Chrisina Jayne:
Cross Domain Evaluation of Text Detection Models. ICANN (3) 2022: 50-61 - 2021
- [j23]Eyad Elyan, Carlos Francisco Moreno-García, Chrisina Jayne:
CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification. Neural Comput. Appl. 33(7): 2839-2851 (2021) - [c29]Carlos Francisco Moreno-García, Chrisina Jayne, Eyad Elyan:
Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis. IJCNN 2021: 1-7 - 2020
- [j21]Pamela Johnston, Eyad Elyan, Chrisina Jayne:
Video tampering localisation using features learned from authentic content. Neural Comput. Appl. 32(16): 12243-12257 (2020) - 2019
- [j19]Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne:
New trends on digitisation of complex engineering drawings. Neural Comput. Appl. 31(6): 1695-1712 (2019) - [c28]Adamu Ali-Gombe, Eyad Elyan, Chrisina Jayne:
Multiple Fake Classes GAN for Data Augmentation in Face Image Dataset. IJCNN 2019: 1-8 - 2018
- [j16]Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne:
Deep imitation learning for 3D navigation tasks. Neural Comput. Appl. 29(7): 389-404 (2018) - [c27]Ahmed Hussein, Eyad Elyan, Chrisina Jayne:
Deep Imitation Learning with Memory for Robocup Soccer Simulation. EANN 2018: 31-43 - [c26]Pamela Johnston, Eyad Elyan, Chrisina Jayne:
Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels. EANN 2018: 44-57 - [c25]Pattaramon Vuttipittayamongkol, Eyad Elyan, Andrei Petrovski, Chrisina Jayne:
Overlap-Based Undersampling for Improving Imbalanced Data Classification. IDEAL (1) 2018: 689-697 - [c24]Adamu Ali-Gombe, Eyad Elyan, Yann Savoye, Chrisina Jayne:
Few-shot Classifier GAN. IJCNN 2018: 1-8 - [c22]Eyad Elyan, Carlos Francisco Moreno-García, Chrisina Jayne:
Symbols Classification in Engineering Drawings. IJCNN 2018: 1-8 - [c21]Pamela Johnston, Eyad Elyan, Chrisina Jayne:
Spatial Effects of Video Compression on Classification in Convolutional Neural Networks. IJCNN 2018: 1-8 - 2017
- [j15]Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan, Chrisina Jayne:
Imitation Learning: A Survey of Learning Methods. ACM Comput. Surv. 50(2): 21:1-21:35 (2017) - [c20]Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne:
Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings. EANN 2017: 87-98 - [c19]Adamu Ali-Gombe, Eyad Elyan, Chrisina Jayne:
Fish Classification in Context of Noisy Images. EANN 2017: 216-226 - [c18]Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber, Chrisina Jayne:
Deep reward shaping from demonstrations. IJCNN 2017: 510-517
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