Chrisina Jayne

发表

Imitation Learning

Mohamed Medhat Gaber, Eyad Elyan, Chrisina Jayne, 2017, ACM Comput. Surv..

Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening

Vasile Palade, Chrisina Jayne, James Shuttleworth, 2015, Neural Computing and Applications.

Special issue: engineering applications of neural networks

Lazaros S. Iliadis, Chrisina Jayne, Chrisina Jayne, 2017, Neural Computing and Applications.

Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing

Andreas Holzinger, Vasile Palade, Chrisina Jayne, 2015, BIH.

Special issue: Engineering applications of neural networks

Lazaros S. Iliadis, Chrisina Jayne, Chrisina Jayne, 2018, Neural Comput. Appl..

Emerging applications of Deep Learning and Spiking ANN

Lazaros S. Iliadis, Chrisina Jayne, Chrisina Jayne, 2020, Neural Comput. Appl..

A Convolutional Neural Network to Measure H.264/AVC Compression

Eyad Elyan, Chrisina Jayne, Pamela Johnston, 2018 .

Factors Affecting Users‟ Measure of Interest: A Study of the Effect of Task, Document Difficulty and Document Familiarity

Chrisina Jayne, S. Akuma, 2019, International Journal of Information Technology and Computer Science.

A review on Natural Language Processing Models for COVID-19 research

Chrisina Jayne, Victor Chang, Karl Hall, 2022, Healthcare Analytics.

The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system

José Luis Fernández Alemán, José Ambrosio Toval Álvarez, Chrisina Jayne, 2016, Int. J. Medical Informatics.

CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification

Eyad Elyan, Chrisina Jayne, C. Moreno-García, 2020, Neural Computing and Applications.

Self Organisation and Modal Learning: Algorithms and Applications

Dominic Palmer-Brown, Chrisina Jayne, D. Palmer-Brown, 2013, Handbook on Neural Information Processing.

Advances in Computational Intelligence Systems - Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK

Plamen Angelov, Alexander Gegov, Chrisina Jayne, 2016, UKCI.

A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews

Eyad Elyan, Chrisina Jayne, C. Moreno-García, 2023, Decision Analytics Journal.

Class-Decomposition and Augmentation for Imbalanced Data Sentiment Analysis

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-García, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Symbols Classification in Engineering Drawings

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-García, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Engineering Applications of Neural Networks

Lazaros S. Iliadis, Valeri Mladenov, Chrisina Jayne, 2014, Communications in Computer and Information Science.

Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing

Vasile Palade, Chrisina Jayne, James Shuttleworth, 2016, Brain Informatics.

Ambient Intelligent Monitoring of Dementia Suffers Using Unsupervised Neural Networks and Weighted Rule Based Summarisation

Rahat Iqbal, Faiyaz Doctor, Chrisina Jayne, 2012, EANN.

Knowledge Clustering Using a Neural Network in a Course on Medical-Surgical Nursing

Juan Manuel Carrillo-de-Gea, José Luis Fernández Alemán, José Ambrosio Toval Álvarez, 2012, EANN.

Snap-drift neural network for self-organisation and sequence learning

Dominic Palmer-Brown, Chrisina Jayne, D. Palmer-Brown, 2011, Neural Networks.

New trends on digitisation of complex engineering drawings

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-García, 2018, Neural Computing and Applications.

CDSMOTE: class decomposition and synthetic minority class oversampling technique for imbalanced-data classification

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-Garcia, 2020, Neural Computing and Applications.

Engineering Applications of Neural Networks

Harris Papadopoulos, Chrisina Jayne, Lazaros Iliadis, 2013, Communications in Computer and Information Science.

Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images

Chrisina Jayne, Mark Eastwood, Erik Barrow, 2015, ICONIP.

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference: Proceedings of the EANN 2020

Robert Kozma, Chrisina Jayne, Elias Pimenidis, 2020, EANN.

Deep reward shaping from demonstrations

Mohamed Medhat Gaber, Eyad Elyan, Chrisina Jayne, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Automatic Screening and Classification of Diabetic Retinopathy Fundus Images

Vasile Palade, Chrisina Jayne, James Shuttleworth, 2014, EANN.

Automated intelligent system for sound signalling device quality assurance

Rahat Iqbal, Faiyaz Doctor, Chrisina Jayne, 2015, Inf. Sci..

Dual Deep Neural Network approach to matching data in different modes

Chrisina Jayne, Mark Eastwood, Chrisina Jayne, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Restricted Boltzmann machines for pre-training deep Gaussian networks

Chrisina Jayne, Mark Eastwood, Chrisina Jayne, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward

Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne, 2022, Artificial Intelligence Surgery.

A systematic review of social media-based sentiment analysis: Emerging trends and challenges

Chrisina Jayne, Victor Chang, Qi Xu, 2022, Decision Analytics Journal.

Spatial Effects of Video Compression on Classification in Convolutional Neural Networks

Eyad Elyan, Chrisina Jayne, Pamela Johnston, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Multiple Fake Classes GAN for Data Augmentation in Face Image Dataset

Eyad Elyan, Chrisina Jayne, Adamu Ali-Gombe, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Engineering Applications of Neural Networks - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I

Chrisina Jayne, L. Iliadis, 2011, EANN/AIAI.

Video tampering localisation using features learned from authentic content

Eyad Elyan, Chrisina Jayne, Pamela Johnston, 2019, Neural Computing and Applications.

Toward Video Tampering Exposure: Inferring Compression Parameters from Pixels

Eyad Elyan, Chrisina Jayne, Pamela Johnston, 2018, EANN.

Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings

Ilias Maglogiannis, Chrisina Jayne, Lazaros Iliadis, 2019, Communications in Computer and Information Science.

Neural network methods for one-to-many multi-valued mapping problems

Andreas Lanitis, Chrisina Jayne, Chris Christodoulou, 2011, Neural Computing and Applications.

Comparative analysis of relevance feedback methods based on two user studies

Rahat Iqbal, Faiyaz Doctor, Chrisina Jayne, 2016, Comput. Hum. Behav..

Inferring Users' Interest on Web Documents Through Their Implicit Behaviour

Rahat Iqbal, Faiyaz Doctor, Chrisina Jayne, 2015, EANN.

Neural network-based data analysis for medical-surgical nursing learning

Juan Manuel Carrillo-de-Gea, José Luis Fernández Alemán, José Ambrosio Toval Álvarez, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Perceived Realism of Crowd Behaviour with Social Forces

Fotis Liarokapis, Chrisina Jayne, Stuart O'Connor, 2015, 2015 19th International Conference on Information Visualisation.

Deep imitation learning for 3D navigation tasks

A. Hussein, M. Gaber, Eyad Elyan, 2017, Neural computing & applications (Print).

Deep Imitation Learning with Memory for Robocup Soccer Simulation

Eyad Elyan, Chrisina Jayne, Ahmed Hussein, 2018, EANN.

Evaluation of hyperbox neural network learning for classification

Chrisina Jayne, Mark Eastwood, Chrisina Jayne, 2014, Neurocomputing.

Overlap-Based Undersampling for Improving Imbalanced Data Classification

Eyad Elyan, Andrei Petrovski, Chrisina Jayne, 2018, IDEAL.

Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings

Eyad Elyan, Chrisina Jayne, Carlos Francisco Moreno-García, 2017, EANN.

Automatic Landmark Location for Analysis of Cardiac MRI Images

Andreas Lanitis, Chrisina Jayne, Chris Christodoulou, 2012, EANN.

One-to-many neural network mapping techniques for face image synthesis

Andreas Lanitis, Chrisina Jayne, Chris Christodoulou, 2012, Expert Syst. Appl..

Fish Classification in Context of Noisy Images

Eyad Elyan, Chrisina Jayne, Adamu Ali-Gombe, 2017, EANN.

Evaluation and Neuronal Network-Based Classification of the PHRs Privacy Policies

Dominic Palmer-Brown, Inma Carrión, Juan Manuel Carrillo-de-Gea, 2012, 2012 45th Hawaii International Conference on System Sciences.

Selective Dropout for Deep Neural Networks

Chrisina Jayne, Mark Eastwood, Erik Barrow, 2016, ICONIP.

Evaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automation

Chrisina Jayne, N. Wiratunga, C. Moreno-García, 2023, INNS DLIA@IJCNN.

An Empirical Study of Neural Network-Based Audience Response Technology in a Human Anatomy Course for Pharmacy Students

Juan Manuel Carrillo-de-Gea, José Luis Fernández Alemán, José Ambrosio Toval Álvarez, 2016, Journal of Medical Systems.

Engineering Applications of Neural Networks

Seryei, Turitsyn, Chrisina Jayne, 2016, Communications in Computer and Information Science.

New trends on digitisation of complex engineering drawings

Eyad Elyan, Chrisina Jayne, C. Moreno-García, 2018, Neural Computing and Applications.

Abstract Screening for Systematic Reviews Using Machine Learning and Zero-Shot Classification

Eyad Elyan, Chrisina Jayne, C. Moreno-García, 2022, SSRN Electronic Journal.

Snap-drift neural network for self-organisation and sequence learning

D. Palmer-Brown, Chrisina Jayne, 2011, Neural Networks.

Effects of Response-Driven Feedback in Computer Science Learning

Dominic Palmer-Brown, José Luis Fernández Alemán, Chrisina Jayne, 2011, IEEE Transactions on Education.

Engineering Applications of Neural Networks

Lazaros S. Iliadis, Chrisina Jayne, Shigang Yue, 2012, Communications in Computer and Information Science.

Deep imitation learning for 3D navigation tasks

Mohamed Medhat Gaber, Eyad Elyan, Chrisina Jayne, 2017, Neural Computing and Applications.