Prof John Yearwood

Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network

Ahsan Habib, Chandan Karmakar, John Yearwood

(2023), pp. 1-13, IEEE Journal of Biomedical and Health Informatics, C1

Deep3DCANN: A Deep 3DCNN-ANN framework for spontaneous micro-expression recognition

S Thuseethan, S Rajasegarar, J Yearwood

(2023), Vol. 630, pp. 341-355, Information Sciences, Amsterdam, The Netherlands, C1

Short text similarity measurement using context-aware weighted biterms

S Yang, G Huang, B Ofoghi, J Yearwood

(2022), Vol. 34, pp. 1-11, Concurrency Computation, London, Eng., C1

A global training model for beat classification using basic electrocardiogram morphological features

S Sumesh, J Yearwood, S Huda, S Ahmad

(2022), Vol. 70, pp. 4503-4521, Computers, Materials and Continua, Encino, Calif., C1

The multiphase course timetabling problem

R Esmaeilbeigi, V Mak-Hau, J Yearwood, V Nguyen

(2022), Vol. 300, pp. 1098-1119, European Journal of Operational Research, C1

Robust Federated Averaging via Outlier Pruning

M Uddin, Y Xiang, J Yearwood, L Gao

(2022), Vol. 29, pp. 409-413, IEEE Signal Processing Letters, Piscataway, NJ, C1

Robust Pareto solutions for convex quadratic multiobjective optimization problems under data uncertainty

T Chuong, V Mak-Hau, J Yearwood, R Dazeley, M Nguyen, T Cao

(2022), pp. 1-32, Annals of Operations Research, New York, N.Y., C1

Data Envelopment Analysis of linguistic features and passage relevance for open-domain Question Answering

B Ofoghi, M Mahdiloo, J Yearwood

(2022), Vol. 244, pp. 1-13, Knowledge-Based Systems, Amsterdam, The Netherlands, C1

Robustness of electrocardiogram signal quality indices

S Rahman, C Karmakar, I Natgunanathan, J Yearwood, M Palaniswami

(2022), Vol. 19, pp. 1-15, Journal of the Royal Society Interface, London, Eng., C1

Blockchain-Enabled Federated Learning: A Survey

Youyang Qu, Md Uddin, Chenquan Gan, Yong Xiang, Longxiang Gao, John Yearwood

(2022), pp. 1-33, ACM Computing Surveys, New York, N.Y., C1

EmoSeC: Emotion recognition from scene context

S Thuseethan, S Rajasegarar, J Yearwood

(2022), Vol. 492, pp. 174-187, Neurocomputing, Amsterdam. The Netherlands, C1

Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution

A Habib, C Karmakar, J Yearwood

(2022), Vol. PP, pp. 1-12, IEEE Journal of Biomedical and Health Informatics, United States, C1

Federated Learning via Disentangled Information Bottleneck

Md Uddin, Yong Xiang, Xuequan Lu, John Yearwood, Longxiang Gao

(2022), pp. 1-14, IEEE Transactions on Services Computing, Piscataway, N.J., C1

P2OP-Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection

S Janarthan, S Thuseethan, S Rajasegarar, J Yearwood

(2022), Vol. 202, Computers and Electronics in Agriculture, C1

A Real-Time Tunable ECG Noise-Aware System for IoT-Enabled Devices

S Rahman, C Karmakar, J Yearwood, M Palaniswami

(2022), Vol. 22, pp. 23277-23285, IEEE Sensors Journal, C1

Performance of a Convolutional Neural Network Derived from PPG Signal in Classifying Sleep Stages

A Habib, M Motin, T Penzel, M Palaniswami, J Yearwood, C Karmakar

(2022), Vol. PP, pp. 1-15, IEEE Transactions on Biomedical Engineering, United States, C1

Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

A Haakenstad, J Yearwood, N Fullman, C Bintz, K Bienhoff, M Weaver, V Nandakumar, J Joffe, K LeGrand, M Knight, C Abbafati, M Abbasi-Kangevari, A Abdoli, R Abeldaño Zuñiga, I Adedeji, V Adekanmbi, O Adetokunboh, M Afzal, S Afzal, M Agudelo-Botero, B Ahinkorah, S Ahmad, A Ahmadi, S Ahmadi, A Ahmed, T Ahmed Rashid, B Aji, W Akande-Sholabi, K Alam, H Al Hamad, R Alhassan, L Ali, V Alipour, S Aljunid, E Ameyaw, T Amin, H Amu, D Amugsi, R Ancuceanu, P Andrade, A Anjum, J Arabloo, M Arab-Zozani, H Ariffin, J Arulappan, Z Aryan, T Ashraf, D Atnafu, A Atreya, M Ausloos, L Avila-Burgos, G Ayano, M Ayanore, S Azari, A Badiye, A Baig, M Bairwa, S Bakkannavar, S Baliga, P Banik, T Bärnighausen, F Barra, A Barrow, S Basu, M Bayati, R Belete, A Bell, D Bhagat, A Bhagavathula, P Bhardwaj, N Bhardwaj, S Bhaskar, K Bhattacharyya, Z Bhutta, S Bibi, A Bijani, B Bikbov, A Biondi, O Bolarinwa, A Bonny, H Brenner, D Buonsenso, K Burkart, R Busse, Z Butt, N Butt, F Caetano dos Santos, L Cahuana-Hurtado, L Cámera, R Cárdenas, V Carneiro, F Catalá-López, J Chandan, J Charan, P Chavan, S Chen, S Chen, S Choudhari, E Chowdhury, M Chowdhury

(2022), Vol. 10, pp. 1-29, The Lancet Global Health, Amsterdam, The Netherlands, C1-1

Mutual Information Driven Federated Learning

Md Uddin, Yong Xiang, Xuequan Lu, John Yearwood, Longxiang Gao

(2021), Vol. 32, pp. 1526-1538, IEEE Transactions on Parallel and Distributed Systems, Piscataway, N.J., C1

LGAttNet: Automatic micro-expression detection using dual-stream local and global attentions

M Takalkar, S Thuseethan, S Rajasegarar, Z Chaczko, M Xu, J Yearwood

(2021), Vol. 212, Knowledge-Based Systems, C1

EWNStream +: Effective and Real-time Clustering of Short Text Streams Using Evolutionary Word Relation Network

S Yang, G Huang, X Zhou, V Mak, J Yearwood

(2021), Vol. 20, pp. 341-370, International Journal of Information Technology and Decision Making, C1

Lempel-Ziv complexity of the pNNx statistics - an application to neonatal stress

M Šapina, C Karmakar, K Kramarić, M Kośmider, M Garcin, D Brdarić, K Milas, J Yearwood

(2021), Vol. 146, Chaos, Solitons and Fractals, C1

Deep Continual Learning for Emerging Emotion Recognition

S Thuseethan, S Rajasegarar, J Yearwood

(2021), pp. 1-14, IEEE Transactions on Multimedia, Piscataway, N.J., C1

Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices

T Nguyen, M Larsen, B O'Dea, H Nguyen, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen

(2020), Vol. 110, pp. 620-628, Future Generation Computer Systems, C1

Identifying smoker subgroups with high versus low smoking cessation attempt probability: A decision tree analysis approach

H Yong, C Karmakar, R Borland, S Kusmakar, M Fuller-Tyszkiewicz, J Yearwood

(2020), Vol. 103, Addictive Behaviors, England, C1

Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning

B Fernandes, C Karmakar, R Tamouza, T Tran, J Yearwood, N Hamdani, H Laouamri, J Richard, R Yolken, M Berk, S Venkatesh, M Leboyer

(2020), Vol. 10, Translational Psychiatry, United States, C1

Complex Emotion Profiling: An Incremental Active Learning Based Approach with Sparse Annotations

S Thuseethan, S Rajasegarar, J Yearwood

(2020), Vol. 8, pp. 147711-147727, IEEE Access, C1

Deep metric learning based citrus disease classification with sparse data

S Janarthan, S Thuseethan, S Rajasegarar, Q Lyu, Y Zheng, J Yearwood

(2020), Vol. 8, pp. 162588-162600, IEEE Access, C1

Impact of ECG dataset diversity on generalization of CNN model for detecting QRS complex

Ahsan Habib, Chandan Karmakar, John Yearwood

(2019), Vol. 7, pp. 93275-93285, IEEE access, Piscataway, N.J., C1

Multistage fusion approaches based on a generative model and multivariate exponentially weighted moving average for diagnosis of cardiovascular autonomic nerve dysfunction

M Hassan, S Huda, J Yearwood, H Jelinek, A Almogren

(2018), Vol. 41, pp. 105-118, Information fusion, Amsterdam, The Netherlands, C1

A Framework for Software Defect Prediction and Metric Selection

S Huda, S Alyahya, M Mohsin Ali, S Ahmad, J Abawajy, H Al-Dossari, J Yearwood

(2018), Vol. 6, pp. 2844-2858, IEEE Access, C1

A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection

S Huda, R Islam, J Abawajy, J Yearwood, M Hassan, G Fortino

(2018), Vol. 83, pp. 193-207, Future Generation Computer Systems, C1

Detection of epileptic seizure based on entropy analysis of short-term EEG

P Li, C Karmakar, J Yearwood, S Venkatesh, M Palaniswami, C Liu

(2018), Vol. 13, PLoS ONE, United States, C1

A malicious threat detection model for cloud assisted internet of things (CoT) based industrial control system (ICS) networks using deep belief network

S Huda, S Miah, J Yearwood, S Alyahya, H Al-Dossari, R Doss

(2018), Vol. 120, pp. 23-31, Journal of parallel and distributed computing, Amsterdam, The Netherlands, C1

Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks

S Huda, J Yearwood, M Hassan, A Almogren

(2018), Vol. 71, pp. 66-77, Applied Soft Computing Journal, C1

Improving chamfer template matching using image segmentation

D Nguyen, N Vu, T Do, T Nguyen, J Yearwood

(2018), Vol. 25, pp. 1635-1639, IEEE signal processing letters, Piscataway, N.J., C1

Exploring reasoning mechanisms in ward rounds: A critical realist multiple case study

P Perversi, J Yearwood, E Bellucci, A Stranieri, J Warren, F Burstein, H Mays, A Wolff

(2018), Vol. 18, BMC Health Services Research, England, C1

Multi-lag tone-entropy in neonatal stress

M Šapina, C Karmakar, K Kramarić, M Garcin, P Adelson, K Milas, M Pirić, D Brdarić, J Yearwood

(2018), Vol. 15, Journal of the Royal Society Interface, England, C1

Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data

S Huda, S Miah, M Mehedi Hassan, R Islam, J Yearwood, M Alrubaian, A Almogren

(2017), Vol. 379, pp. 211-228, Information Sciences, C1

Heterogeneous cooperative co-evolution memetic differential evolution algorithm for big data optimization problems

N Sabar, J Abawajy, J Yearwood

(2017), Vol. 21, pp. 315-327, IEEE Transactions on Evolutionary Computation, C1

A fast malware feature selection approach using a hybrid of multi-linear and stepwise binary logistic regression

S Huda, J Abawajy, M Abdollahian, R Islam, J Yearwood

(2017), Vol. 29, Concurrency and Computation: Practice and Experience, C1

Exponentially weighted control charts to monitor multivariate process variability for high dimensions

N Gunaratne, M Abdollahian, S Huda, J Yearwood

(2017), Vol. 55, pp. 4948-4962, International journal of production research, Abingdon, Eng., C1

A parallel framework for software defect detection and metric selection on cloud computing

M Ali, S Huda, J Abawajy, S Alyahya, H Al-Dossari, J Yearwood

(2017), Vol. 20, pp. 2267-2281, Cluster Computing, C1

Kernel-based features for predicting population health indices from geocoded social media data

T Nguyen, M Larsen, B O'Dea, D Nguyen, J Yearwood, D Phung, S Venkatesh, H Christensen

(2017), Vol. 102, pp. 22-31, Decision Support Systems, C1

Patchwork-based multilayer audio watermarking

I Natgunanathan, Y Xiang, G Hua, G Beliakov, J Yearwood

(2017), Vol. 25, pp. 2176-2187, IEEE/ACM transactions on audio speech and language processing, Piscataway, N.J., C1

Detection of ground parrot vocalisation: A multiple instance learning approach

D Nguyen, P Ogunbona, W Li, E Tasker, J Yearwood

(2017), Vol. 142, pp. 1281-1290, Journal of the Acoustical Society of America, United States, C1

CExp: secure and verifiable outsourcing of composite modular exponentiation with single untrusted server

S Li, L Huang, A Fu, J Yearwood

(2017), Vol. 3, pp. 236-241, Digital Communications and Networks, C1

Hybrids of support vector machine wrapper and filter based framework for malware detection

S Huda, J Abawajy, M Alazab, M Abdollalihian, R Islam, J Yearwood

(2016), Vol. 55, pp. 376-390, Future Generation Computer Systems, C1

Protection of Privacy in Biometric Data

I Natgunanathan, A Mehmood, Y Xiang, G Beliakov, J Yearwood

(2016), Vol. 4, pp. 880-892, IEEE Access, C1

Group decision making in health care: A case study of multidisciplinary meetings

V Sharma, A Stranieri, F Burstein, J Warren, S Daly, L Patterson, J Yearwood, A Wolff

(2016), Vol. 25, pp. 476-485, Journal of Decision Systems, C1

Guidelines for developing and reporting machine learning predictive models in biomedical research: A multidisciplinary view

W Luo, D Phung, T Tran, S Gupta, S Rana, C Karmakar, A Shilton, J Yearwood, N Dimitrova, T Ho, S Venkatesh, M Berk

(2016), Vol. 18, Journal of Medical Internet Research, Canada, C1

A Hybrid Feature Selection with Ensemble Classification for Imbalanced Healthcare Data: A Case Study for Brain Tumor Diagnosis

S Huda, J Yearwood, H Jelinek, M Hassan, G Fortino, M Buckland

(2016), Vol. 4, pp. 9145-9154, IEEE Access, C1

Constructing an inter-post similarity measure to differentiate the psychological stages in offensive chats

M Miah, J Yearwood, S Kulkarni

(2015), Vol. 66, pp. 1065-1081, Journal of the association for information science and technology, London, Eng., C1-1

A hybrid wrapper-filter approach to detect the source(s) of out-of-control signals in multivariate manufacturing process

S Huda, M Abdollahian, M Mammadov, J Yearwood, S Ahmed, I Sultan

(2014), Vol. 237, pp. 857-870, European journal of operational research, Amsterdam, The Netherlands, C1-1

Hybrid metaheuristic approaches to the expectation maximization for estimation of the hidden markov model for signal modeling

S Huda, J Yearwood, R Togneri

(2014), Vol. 44, pp. 1962-1977, IEEE transactions on cybernetics, Piscataway, United States, C1-1

A new loss function for robust classification

L Zhao, M Mammadov, J Yearwood

(2014), Vol. 18, pp. 697-715, Intelligent data analysis, [Amsterdam, The Netherlands], C1-1

Attribute weighted Naive Bayes classifier using a local optimization

S Taheri, J Yearwood, M Mammadov, S Seifollahi

(2014), Vol. 24, pp. 995-1002, Neural computing and applications, Berlin, Germany, C1-1

A data mining application of the incidence semirings

J Abawajy, A Kelarev, J Yearwood, C Turville

(2013), Vol. 39, pp. 1083-1093, Houston journal of mathematics, Houston, Tx., C1

An algorithm for minimization of pumping costs in water distribution systems using a novel approach to pump scheduling

A Bagirov, A Barton, H Mala-Jetmarova, A Al Nuaimat, S Ahmed, N Sultanova, J Yearwood

(2013), Vol. 57, pp. 873-886, Mathematical and computer modelling, Amsterdam, The Netherlands, C1-1

Application of rank correlation, clustering and classification in information security

G Beliakov, J Yearwood, A Kelarev

(2012), Vol. 7, pp. 935-945, Journal of networks, Oulu, Finland, C1

Derivative-free optimization and neural networks for robust regression

G Beliakov, A Kelarev, J Yearwood

(2012), Vol. 61, pp. 1467-1490, Optimization, Abingdon, England, C1

Performance evaluation of multivariate non-normal process using metaheuristic approaches

S Ahmad, M Abdollahian, M Bhatti, S Huda, J Yearwood

(2012), Vol. 20, pp. 299-315, Journal of applied statistical science, Hauppage, N.Y., C1-1

Profiling phishing activity based on hyperlinks extracted from phishing emails

J Yearwood, M Mammadov, D Webb

(2012), Vol. 2, pp. 5-16, Social network analysis and mining, Berlin, Germany, C1-1

Optimal rees matrix constructions for analysis of data

A Kelarev, J Yearwood, L Zi

(2012), Vol. 92, pp. 357-366, Journal of the Australian Mathematical Society, Cambridge, Eng., C1-1

Novel weighting in single hidden layer feedforward neural networks for data classification

S Seifollahi, J Yearwood, B Ofoghi

(2012), Vol. 64, pp. 128-136, Computers and mathematics with applications, Amsterdam, The Netherlands, C1-1

Using psycholinguistic features for profiling first language of authors

R Torney, P Vamplew, J Yearwood

(2012), Vol. 63, pp. 1256-1269, Journal of the Association for Information Science and Technology, London, Eng., C1-1

Real-time detection of children's skin on social networking sites using Markov random field modelling

M Islam, P Watters, J Yearwood

(2011), Vol. 16, pp. 51-58, Information security technical report, Amsterdam, The Netherlands, C1-1

Does the Delphi process lead to increased accuracy in group-based judgmental forecasts or does it simply induce consensus amongst judgmental forecasters?

F Bolger, A Stranieri, G Wright, J Yearwood

(2011), Vol. 78, pp. 1671-1680, Technological forecasting and social change, Amsterdam, The Netherlands, C1-1

Optimization of matrix semirings for classification systems

D Gao, A Kelarev, J Yearwood

(2011), Vol. 84, pp. 492-503, Bulletin of the Australian mathematical society, Cambridge, Eng., C1-1

ICT change agents: global actors in financial services technology projects

J Jagodick, J Courvisanos, J Yearwood

(2011), Vol. 16, pp. 165-180, Asia pacific management review, Tainan, Taiwan., C1-1

Optimization of classifiers for data mining based on combinatorial semigroups

A Kelarev, J Yearwood, P Watters

(2011), Vol. 82, pp. 242-251, Semigroup forum, Berlin, Germany, C1-1

A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modeling

J Zhang, D Gao, J Yearwood

(2011), Vol. 284, pp. 149-157, Journal of theoretical biology, Amsterdam, The Netherlands, C1-1

Internet security applications of the Munn rings

A Kelarev, J Yearwood, P Watters, X Wu, J Abawajy, L Pan

(2010), Vol. 81, pp. 162-171, Semigroup forum, New York N.Y., C1

Optimization of multiple classifiers in data mining based on string rewriting systems

R Dazeley, A Kelarev, J Yearwood, M Mammadov

(2009), Vol. 2, pp. 41-56, Asian-European journal of mathematics, C1-1

The impact of frame semantic annotation levels, frame-alignment techniques, and fusion methods on factoid answer processing

B Ofoghi, J Yearwood, M Liping

(2009), Vol. 60, pp. 247-263, Journal of the American Society for Information Science and Technology, C1-1

Key Public Sector Individuals as ICT Change Agents: An Analysis of Australian and German Experience

J Jagodick, J Courvisanos, J Yearwood, P Braun

(2009), Vol. 31, pp. 197-212, Asia Pacific Journal of Public Administration, C1-1

Narrative-based interactive learning environments from modelling reasoning

J Yearwood, A Stranieri

(2007), Vol. 10, pp. 192-208, Educational technology and society, Palmerston North, N.Z., C1-1

A hybrid neural learning algorithm using evolutionary learning and derivative free local search method

R Ghosh, J Yearwood, M Ghosh, A Bagirov

(2006), Vol. 16, pp. 201-213, International journal of neural systems, Singapore, Singapore, C1-1

The generic/actual argument model of practical reasoning

J Yearwood, A Stranieri

(2006), Vol. 41, pp. 358-379, Decision support systems, Amsterdam, The Netherlands, C1-1

A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems

A Bagirov, J Yearwood

(2006), Vol. 170, pp. 578-596, European journal of operational research, Amsterdam, The Netherlands, C1-1

A fuzzy derivative approach to classification of outcomes from the ADRAC database

M Mamedov, G Saunders, J Yearwood

(2004), Vol. 11, pp. 169-179, International transactions in operational research, Chichester, Eng., C1-1

New algorithms for multi-class cancer diagnosis using tumor gene expression signatures

A Bagirov, B Ferguson, S Ivkovic, G Saunders, J Yearwood

(2003), Vol. 19, pp. 1800-1807, Bioinformatics, Oxford, Eng., C1-1

An algorithm for clustering based on non-smooth optimization techniques

A Bagirov, A Rubinov, N Soukhoroukova, J Yearwood

(2003), Vol. 10, pp. 611-617, International transactions in operational research, Chichester, Eng., C1-1

Discovering interesting association rules from legal databases

S Ivkovic, J Yearwood, A Stranieri

(2002), Vol. 11, pp. 35-47, Information and communications technology law, Abingdon, Eng., C1-1

An argumentation shell for supporting the development and drafting of legal arguments

J Yearwood, A Stranieri

(2002), Vol. 11, pp. 75-86, Information and communication technology law, Abingdon, Eng., C1-1

Argumentation structures that integrate dialectical and non-dialectical reasoning

A Stranieri, J Zeleznikow, J Yearwood

(2001), Vol. 16, pp. 331-348, Knowledge engineering review, Cambridge, Eng., C1-1

Retrieving cases for treatment advice in nursing using text representation and structured text retrieval

J Yearwood, R Wilkinson

(1997), Vol. 9, pp. 79-99, Artificial intelligence in medicine, Amsterdam, The Netherlands, C1-1

Problem-centred learning using computer algebra systems in the engineering curriculum

A Subic, J Yearwood, B Glover, H Mays

(1996), Vol. 21, pp. 41-54, European journal of engineering education, Abingdon, Eng., C1-1