Ata Kaban

Colleges, School and Institutes

Willingness to take PhD students

Yes

PhD projects

Ata Kaban’s research interests include:

Statistical machine learning - theory and practice
High-dimensional data spaces
Probabilistic modelling of data, Bayesian inference
Large scale heuristic optimisation
Dimensionality reduction, random projections, compressive learning, compressive optimisation

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Most downloaded publications

Learning kernel logistic regression in the presence of class label noise
Ata Kaban, 1 Nov 2014, In : Pattern Recognition. 47, 11, p. 3641-3655 15 p.

Research output: Contribution to journal › Article

249 downloads
Special issue on advances in learning with label noise
Ata Kaban, 2015, In : Neurocomputing.

Research output: Contribution to journal › Editorial

145 downloads
Large scale continuous EDA using mutual information
Ata Kaban, 21 Nov 2016, Proceedings of the IEEE Congress on Evolutionary Computation. Institute of Electrical and Electronics Engineers (IEEE), 8 p. 16598

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

108 downloads
REMEDA: Random Embedding EDA for optimising functions with intrinsic dimension
Ata Kaban, 2016, Parallel Problem Solving from Nature – PPSN XIV: 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Springer, p. 859-868 10 p. (Lecture Notes in Computer Science; vol. 9921).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

95 downloads
Compressive learning of multi-layer perceptrons: an error analysis
Ata Kaban, 30 Sep 2019, Proceedings of 2019 International Joint Conference on Neural Networks (IJCNN) . IEEE Computer Society Press, 7 p. N-20494

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

92 downloads

Recent publications

Large scale estimation of distribution algorithms with adaptive heavy tailed random projection ensembles
Ata Kaban, 16 Nov 2019, In : Journal of Computer Science and Technology. 34, 6, p. 1241-1257 21 p.

Research output: Contribution to journal › Article

Compressive learning of multi-layer perceptrons: an error analysis
Ata Kaban, 30 Sep 2019, Proceedings of 2019 International Joint Conference on Neural Networks (IJCNN) . IEEE Computer Society Press, 7 p. N-20494

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Robust randomized optimization with k nearest neighbors
Henry Reeve & Ata Kaban, 1 Sep 2019, In : Analysis and Applications. 17, 5, p. 819-836 18 p.

Research output: Contribution to journal › Article

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