Your selections:
An approach for Ewing test selection to support the clinical assessment of cardiac autonomic neuropathy
- Stranieri, Andrew, Abawajy, Jemal, Kelarev, Andrei, Huda, Shamsul, Chowdhury, Morshed, Jelinek, Herbert
Classification systems based on combinatorial semigroups
- Abawajy, Jemal, Kelarev, Andrei
Predicting cardiac autonomic neuropathy category for diabetic data with missing values
- Abawajy, Jemal, Kelarev, Andrei, Chowdhury, Morshed, Stranieri, Andrew, Jelinek, Herbert
A comparison of machine learning algorithms for multilabel classification of CAN
- Kelarev, Andrei, Stranieri, Andrew, Yearwood, John, Jelinek, Herbert
Application of rank correlation, clustering and classification in information security
- Beliakov, Gleb, Yearwood, John, Kelarev, Andrei
Derivative-free optimization and neural networks for robust regression
- Beliakov, Gleb, Kelarev, Andrei, Yearwood, John
Empirical investigation of multi-tier ensembles for the detection of cardiac autonomic neuropathy using subsets of the Ewing features
- Abawajy, Jemal, Kelarev, Andrei, Stranieri, Andrew, Jelinek, Herbert
Optimal rees matrix constructions for analysis of data
- Kelarev, Andrei, Yearwood, John, Zi, Lifang
Performance evaluation of multi-tier ensemble classifiers for phishing websites
- Abawajy, Jemal, Beliakov, Gleb, Kelarev, Andrei, Yearwood, John
Rule-based classifiers and meta classifiers for identification of cardiac autonomic neuropathy progression
- Jelinek, Herbert, Kelarev, Andrei, Stranieri, Andrew, Yearwood, John
Optimization and matrix constructions for classification of data
- Kelarev, Andrei, Yearwood, John, Vamplew, Peter, Abawajy, Jemal, Chowdhury, Morshed
Optimization of classifiers for data mining based on combinatorial semigroups
- Kelarev, Andrei, Yearwood, John, Watters, Paul
Optimization of matrix semirings for classification systems
- Gao, David, Kelarev, Andrei, Yearwood, John
An application of consensus clustering for DDoS attacks detection
- Zi, Lifang, Yearwood, John, Kelarev, Andrei
Consensus clustering and supervised classification for profiling phishing emails in internet commerce security
- Dazeley, Richard, Yearwood, John, Kang, Byeongho, Kelarev, Andrei
Internet security applications of the Munn rings
- Kelarev, Andrei, Yearwood, John, Watters, Paul, Wu, Xinwen, Abawajy, Jemal, Pan, L.
A formula for multiple classifiers in data mining based on Brandt semigroups
- Kelarev, Andrei, Yearwood, John, Mammadov, Musa
A polynomial ring construction for the classification of data
- Kelarev, Andrei, Yearwood, John, Vamplew, Peter
Applying clustering and ensemble clustering approaches to phishing profiling
- Webb, Dean, Yearwood, John, Vamplew, Peter, Ma, Liping, Ofoghi, Bahadorreza, Kelarev, Andrei
Cayley graphs as classifiers for data mining : The influence of asymmetries
- Kelarev, Andrei, Ryan, Joe, Yearwood, John
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