Ata Kaban

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Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Jakramate BootkrajangDepartment of Computer Science, Chiang Mai UniversityVerified email at cmu.ac.th
Peter TinoProfessor of Complex and Adaptive Systems, University of Birmingham, UKVerified email at bham.ac.uk
Somak RaychaudhuryVice-Chancellor, Ashoka University, Sonipat, Haryana, IndiaVerified email at ashoka.edu.in
Ella BinghamHead of Research Services, Aalto UniversityVerified email at aalto.fi
Henry W J ReeveUniversity of BristolVerified email at bristol.ac.uk
Momodou L SanyangUniversity of The Gambia (UTG)Verified email at utg.edu.gm
Jianyong SunSchool of Mathematics and Statistics, Xi'an Jiaotong University, ChinaVerified email at xjtu.edu.cn
Frénay BenoîtFaculty of Computer Science, Université de NamurVerified email at unamur.be
Sakinah Ali PitchayAssociate Professor of Information Security Assurance, Universiti Sains Islam MalaysiaVerified email at usim.edu.my
Ian T. NabneyProfessor and Associate Dean, Faculty of Science and Engineering, University of BristolVerified email at bristol.ac.uk
Jonathan M. GaribaldiUniversity of NottinghamVerified email at cs.nott.ac.uk
Mikael ForteliusEmeritus Professor of Evolutionary Palaeontology, University of HelsinkiVerified email at helsinki.fi
Heyam Al-BaityAssociate Professor of Artificial Intelligence, King Saud UniversityVerified email at ksu.edu.sa
Efstratios PaliasUniversity of BirminghamVerified email at bham.ac.uk
Yunwen LeiThe University of Hong KongVerified email at hku.hk
Frank-Michael SchleifProfessor of Computational Intelligence, Technical-UAS Würzburg-SchweinfurtVerified email at thws.de
Yamonporn ThummanusarnSchool of Computer Science, University of BirminghamVerified email at cs.bham.ac.uk
Lorincz, AndrasEotvos Lorand UniversityVerified email at inf.elte.hu
Bob DurrantFreelance Data Scientist

Ata Kaban

University of Birmingham, School of Computer Science

Verified email at bham.ac.uk - Homepage

machine learning learning theory knowledge discovery random projections curse of dimensionality


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On an equivalence between PLSI and LDA M Girolami, A Kabán Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	342	2003
Label-noise robust logistic regression and its applications J Bootkrajang, A Kabán Joint European conference on machine learning and knowledge discovery in …, 2012	158	2012
A comprehensive introduction to label noise. B Frénay, A Kabán ESANN, 2014	134	2014
When is ‘nearest neighbour’meaningful: A converse theorem and implications RJ Durrant, A Kabán Journal of Complexity 25 (4), 385-397, 2009	104	2009
Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions RJ Durrant, A Kabán Machine Learning 99 (2), 257-286, 2015	85*	2015
A combined latent class and trait model for the analysis and visualization of discrete data A Kaban, M Girolami IEEE transactions on pattern analysis and machine intelligence 23 (8), 859-872, 2001	84	2001
Topic identification in dynamical text by complexity pursuit E Bingham, A Kabán, M Girolami Neural Processing Letters 17, 69-83, 2003	83*	2003
Towards large scale continuous EDA: a random matrix theory perspective A Kabán, J Bootkrajang, RJ Durrant Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013	82	2013
New bounds on compressive linear least squares regression A Kabán Artificial intelligence and statistics (AiStats), 448-456, 2014	79*	2014
Non-parametric detection of meaningless distances in high dimensional data A Kabán Statistics and Computing 22, 375-385, 2012	76	2012
Compressed Fisher linear discriminant analysis: Classification of randomly projected data RJ Durrant, A Kabán Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	66	2010
On Bayesian classification with Laplace priors A Kaban Pattern Recognition Letters 28 (10), 1271-1282, 2007	64	2007
Learning kernel logistic regression in the presence of class label noise J Bootkrajang, A Kabán Pattern Recognition 47 (11), 3641-3655, 2014	56	2014
Variational learning for rectified factor analysis M Harva, A Kabán Signal Processing 87 (3), 509-527, 2007	56*	2007
Robust mixture clustering using Pearson type VII distribution J Sun, A Kabán, JM Garibaldi Pattern Recognition Letters 31 (16), 2447-2454, 2010	54	2010
Simplicial mixtures of Markov chains: Distributed modelling of dynamic user profiles M Girolami, A Kabán Advances in neural information processing systems (NIPS) 16, 2003	54	2003
Classification of mislabelled microarrays using robust sparse logistic regression J Bootkrajang, A Kabán Bioinformatics 29 (7), 870-877, 2013	51	2013
A dynamic probabilistic model to visualise topic evolution in text streams A Kabán, MA Girolami Journal of Intelligent Information Systems 18, 107-125, 2002	46	2002
Improved bounds on the dot product under random projection and random sign projection A Kaban Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	45	2015
K-Nearest-Neighbours with a novel similarity measure for intrusion detection Z Ma, A Kaban 2013 13th UK Workshop on Computational Intelligence (UKCI), 266-271, 2013	45	2013

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