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Eyad Elyan
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2020 – today
- 2024
- [j35]Laura Jamieson, Carlos Francisco Moreno-García
, Eyad Elyan:
A review of deep learning methods for digitisation of complex documents and engineering diagrams. Artif. Intell. Rev. 57(6): 136 (2024) - [j34]Truong Dang
Two-layer Ensemble of Deep Learning Models for Medical Image Segmentation. Cogn. Comput. 16(3): 1141-1160 (2024) - [j33]Hamidreza Farhadi Tolie
DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement. Neurocomputing 584: 127585 (2024) - [j32]Truong Dang
Which classifiers are connected to others? An optimal connection framework for multi-layer ensemble systems. Knowl. Based Syst. 304: 112522 (2024) - [j31]Sophie Crawford Haynes
Generalisation challenges in deep learning models for medical imagery: insights from external validation of COVID-19 classifiers. Multim. Tools Appl. 83(31): 76753-76772 (2024) - [c44]Laura Jamieson, Carlos Francisco Moreno-García
A Multiclass Imbalanced Dataset Classification of Symbols from Piping and Instrumentation Diagrams. ICDAR (1) 2024: 3-16 - 2023
- [j30]Kai Zhang, Feng Zhang, Wenbo Wan, Hui Yu
Panchromatic and multispectral image fusion for remote sensing and earth observation: Concepts, taxonomy, literature review, evaluation methodologies and challenges ahead. Inf. Fusion 93: 227-242 (2023) - [c43]Md Junayed Hasan
Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies. BICS 2023: 220-228 - [c42]Mahammad Shareef Mekala, Eyad Elyan, Gautam Srivastava:
Object-aware Multi-criteria Decision-Making Approach using the Heuristic data-driven Theory for Intelligent Transportation Systems. DSAA 2023: 1-8 - [c41]Luis Alberto Toral-Quijas
Digital Transformation for Offshore Assets: A Deep Learning Framework for Weld Classification in Remote Visual Inspections. EANN 2023: 217-226 - [c40]Faseela Abdullakutty, Eyad Elyan, Pamela Johnston:
Unmasking the Imposters: Task-specific feature learning for face presentation attack detection. IJCNN 2023: 1-8 - [i4]Md Junayed Hasan, Eyad Elyan, Yijun Yan, Jinchang Ren, Md. Mostafa Kamal Sarker:
Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies. CoRR abs/2308.03631 (2023) - 2022
- [j29]Eyad Elyan
Antimicrobial Resistance and Machine Learning: Challenges and Opportunities. IEEE Access 10: 31561-31577 (2022) - [j28]Faseela Abdullakutty
Deep Transfer Learning on the Aggregated Dataset for Face Presentation Attack Detection. Cogn. Comput. 14(6): 2223-2233 (2022) - [j27]Andrew A. Gumbs
The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature. Sensors 22(13): 4918 (2022) - [j26]Faseela Abdullakutty
Fusion Methods for Face Presentation Attack Detection. Sensors 22(14): 5196 (2022) - [c39]Adamu Ali-Gombe, Eyad Elyan, Carlos Francisco Moreno-García
Cross Domain Evaluation of Text Detection Models. ICANN (3) 2022: 50-61 - [c38]Md. Mostafa Kamal Sarker
TransSLC: Skin Lesion Classification in Dermatoscopic Images Using Transformers. MIUA 2022: 651-660 - 2021
- [j25]Pattaramon Vuttipittayamongkol
A Data-Driven Decision Support Tool for Offshore Oil and Gas Decommissioning. IEEE Access 9: 137063-137082 (2021) - [j24]Faseela Abdullakutty
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods. Inf. Fusion 75: 55-69 (2021) - [j23]Scott Wares, John P. Isaacs, Eyad Elyan:
Burst Detection-Based Selective Classifier Resetting. J. Inf. Knowl. Manag. 20(2): 2150027:1-2150027:14 (2021) - [j22]Pattaramon Vuttipittayamongkol
On the class overlap problem in imbalanced data classification. Knowl. Based Syst. 212: 106631 (2021) - [j21]Eyad Elyan
CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification. Neural Comput. Appl. 33(7): 2839-2851 (2021) - [j20]Andrew A. Gumbs
Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery? Sensors 21(16): 5526 (2021) - [c37]Truong Dang
Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation. CEC 2021: 744-751 - [c36]Adamu Ali-Gombe, Eyad Elyan, Carlos Francisco Moreno-García
Face Detection with YOLO on Edge. EANN 2021: 284-292 - [c35]Faseela Abdullakutty, Eyad Elyan, Pamela Johnston:
Face Spoof Detection: An Experimental Framework. EANN 2021: 293-304 - [c34]Pattaramon Vuttipittayamongkol
Towards Machine Learning-Driven Practices for Oil and Gas Decommissioning - Introduction of a New Offshore Pipeline Dataset. ICCCM 2021: 111-116 - [c33]Luis Toral, Carlos Francisco Moreno-García
A Deep Learning Digitisation Framework to Mark up Corrosion Circuits in Piping and Instrumentation Diagrams. ICDAR Workshops (2) 2021: 268-276 - [c32]Carlos Francisco Moreno-García
Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis. IJCNN 2021: 1-7 - [i3]Truong Dang, Tien Thanh Nguyen, John McCall, Eyad Elyan, Carlos Francisco Moreno-García
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation. CoRR abs/2104.04809 (2021) - 2020
- [j19]Pattaramon Vuttipittayamongkol
Improved Overlap-based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease. Int. J. Neural Syst. 30(8): 2050043:1-2050043:21 (2020) - [j18]Pattaramon Vuttipittayamongkol
Response to Discussion on "Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson's Disease, ". Int. J. Neural Syst. 30(9): 2075002:1-2075002:3 (2020) - [j17]Pattaramon Vuttipittayamongkol
Neighbourhood-based undersampling approach for handling imbalanced and overlapped data. Inf. Sci. 509: 47-70 (2020) - [j16]Pamela Johnston
Video tampering localisation using features learned from authentic content. Neural Comput. Appl. 32(16): 12243-12257 (2020) - [j15]Eyad Elyan
Deep learning for symbols detection and classification in engineering drawings. Neural Networks 129: 91-102 (2020) - [c31]Harry Kontopoulos
Predicting Permeability Based on Core Analysis. EANN 2020: 143-154 - [c30]Eyad Elyan, Carlos Francisco Moreno-García
Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks. EANN 2020: 215-224 - [c29]Adamu Ali-Gombe, Eyad Elyan, Johan Zwiegelaar:
Towards a Reliable Face Recognition System. EANN 2020: 304-316 - [c28]Pattaramon Vuttipittayamongkol
Overlap-Based Undersampling Method for Classification of Imbalanced Medical Datasets. AIAI (2) 2020: 358-369 - [c27]Laura Jamieson, Carlos Francisco Moreno-García
Deep Learning for Text Detection and Recognition in Complex Engineering Diagrams. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j14]Pamela Johnston
A review of digital video tampering: From simple editing to full synthesis. Digit. Investig. 29: 67-81 (2019) - [j13]Adamu Ali-Gombe
MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network. Neurocomputing 361: 212-221 (2019) - [j12]Carlos Francisco Moreno-García
New trends on digitisation of complex engineering drawings. Neural Comput. Appl. 31(6): 1695-1712 (2019) - [c26]Carlos Francisco Moreno-García
Digitisation of Assets from the Oil & Gas Industry: Challenges and Opportunities. WIADAR@ICDAR 2019: 2-5 - [c25]Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Zina M. Ibrahim, Oya Celikutan, Richard J. B. Dobson, Stephen J. McKenna, Jacqui Morris, Annalu Waller, Raed A. Abd-Alhammed, Rami Qahwaji, Ray Chaudhuri:
Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. KDH@IJCAI 2019: 60-67 - [c24]Adamu Ali-Gombe, Eyad Elyan, Chrisina Jayne
Multiple Fake Classes GAN for Data Augmentation in Face Image Dataset. IJCNN 2019: 1-8 - 2018
- [j11]Ahmed Hussein
Deep imitation learning for 3D navigation tasks. Neural Comput. Appl. 29(7): 389-404 (2018) - [c23]Ahmed Hussein, Eyad Elyan, Chrisina Jayne:
Deep Imitation Learning with Memory for Robocup Soccer Simulation. EANN 2018: 31-43 - [c22]Pamela Johnston
Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels. EANN 2018: 44-57 - [c21]Pattaramon Vuttipittayamongkol
Overlap-Based Undersampling for Improving Imbalanced Data Classification. IDEAL (1) 2018: 689-697 - [c20]Adamu Ali-Gombe, Eyad Elyan
Few-shot Classifier GAN. IJCNN 2018: 1-8 - [c19]Eyad Elyan
Symbols Classification in Engineering Drawings. IJCNN 2018: 1-8 - [c18]Pamela Johnston
Spatial Effects of Video Compression on Classification in Convolutional Neural Networks. IJCNN 2018: 1-8 - 2017
- [j10]Ahmed Hussein
Imitation Learning: A Survey of Learning Methods. ACM Comput. Surv. 50(2): 21:1-21:35 (2017) - [j9]Arthur Stewart
The Effect of Person Order on Egress Time: A Simulation Model of Evacuation From a Neolithic Visitor Attraction. Hum. Factors 59(8): 1222-1232 (2017) - [j8]Eyad Elyan
A genetic algorithm approach to optimising random forests applied to class engineered data. Inf. Sci. 384: 220-234 (2017) - [c17]Carlos Francisco Moreno-García
Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings. EANN 2017: 87-98 - [c16]Adamu Ali-Gombe, Eyad Elyan, Chrisina Jayne:
Fish Classification in Context of Noisy Images. EANN 2017: 216-226 - [c15]Ahmed Hussein, Eyad Elyan, Mohamed Medhat Gaber
Deep reward shaping from demonstrations. IJCNN 2017: 510-517 - 2016
- [j7]Eyad Elyan
A fine-grained Random Forests using class decomposition: an application to medical diagnosis. Neural Comput. Appl. 27(8): 2279-2288 (2016) - [c14]Ahmed Hussein, Mohamed Medhat Gaber
Deep Active Learning for Autonomous Navigation. EANN 2016: 3-17 - [c13]Khaled Fawagreh, Mohamed Medhat Gaber
An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests. EANN 2016: 267-282 - 2015
- [j6]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber, Eyad Elyan:
On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Comput. Intell. Neurosci. 2015: 109029:1-109029:19 (2015) - [c12]Khaled Fawagreh
A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests. SGAI Conf. 2015: 25-41 - [c11]Khaled Fawagreh
CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests. SGAI Conf. 2015: 59-73 - [i2]Khaled Fawagreh, Mohamed Medhat Gaber
On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications. CoRR abs/1503.04996 (2015) - [i1]Khaled Fawagreh, Mohamed Medhat Gaber
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests. CoRR abs/1503.05187 (2015) - 2014
- [j5]Olurotimi Richard Akinlofa, Patrik O'Brian Holt, Eyad Elyan
The cognitive benefits of dynamic representations in the acquisition of spatial navigation skills. Comput. Hum. Behav. 30: 238-248 (2014) - [j4]Olurotimi Richard Akinlofa, Patrik O'Brian Holt, Eyad Elyan
The Cognitive Benefit of Dynamic Representations on Procedural Skill Acquisition: A Computational Modeling Approach. Int. J. Hum. Comput. Interact. 30(3): 250-265 (2014) - [c10]Khaled Fawagreh
Diversified Random Forests Using Random Subspaces. IDEAL 2014: 85-92 - [c9]Lei Wang, Eyad Elyan
Rebuilding Visual Vocabulary via Spatial-temporal Context Similarity for Video Retrieval. MMM (1) 2014: 74-85 - 2013
- [j3]Olurotimi Richard Akinlofa, Patrik O'Brian Holt, Eyad Elyan
Domain expertise and the effectiveness of dynamic simulator interfaces in the acquisition of procedural motor skills. Br. J. Educ. Technol. 44(5): 810-820 (2013) - [j2]Olurotimi Richard Akinlofa, Patrik O'Brian Holt, Eyad Elyan
Effect of Interface Dynamism on Learning Procedural Motor Skills. Interact. Comput. 25(3): 259-269 (2013) - 2012
- [c8]Olurotimi Richard Akinlofa, Patrik O'Brian Holt, Eyad Elyan:
The acquisition of spatial navigational skills from dynamic versus static visualisations. BCS HCI 2012: 298-302 - [c7]Lei Wang, Dawei Song
Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval. CIKM 2012: 1303-1312 - [c6]Eyad Elyan
Enhanced interactivity and engagement: Learning by doing to simplify mathematical concepts in computer graphics and animation. EDUCON 2012: 1-8 - 2011
- [c5]Lei Wang, Dawei Song, Eyad Elyan
Video Retrieval Based on Words-of-Interest Selection. ECIR 2011: 687-690 - [c4]Lei Wang, Dawei Song
Words-of-interest selection based on temporal motion coherence for video retrieval. SIGIR 2011: 1197-1198 - 2010
- [c3]Eyad Elyan, Hassan Ugail:
Automatic Features Characterization from 3D Facial Images. CGVR 2010: 67-73
2000 – 2009
- 2009
- [c2]Eyad Elyan
Interactive Surface Design and Manipulation Using PDE-Method through Autodesk Maya Plug-in. CW 2009: 119-125 - [c1]Eyad Elyan
Automatic 3D Face Recognition Using Fourier Descriptors. CW 2009: 246-252 - 2007
- [j1]Eyad Elyan, Hassan Ugail:
Reconstruction of 3D Human Facial Images Using Partial Differential Equations. J. Comput. 2(8): 1-8 (2007)
Coauthor Index
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last updated on 2024-10-23 20:36 CEST by the dblp team
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