Ata Kabán

发表

Factorisation and denoising of 0-1 data: A variational approach

Ata Kabán, Ella Bingham, A. Kabán, 2008, Neurocomputing.

Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension

Ata Kabán, 2015, ACML.

Variational learning for rectified factor analysis

Markus Harva, Ata Kabán, A. Kabán, 2007, Signal Process..

Boosting in the presence of label noise pdf

Ata Kabán, Jakramate Bootkrajang, A. Kabán, 2013, UAI.

Non-parametric detection of meaningless distances in high dimensional data

Ata Kabán, A. Kabán, 2011, Statistics and Computing.

On extending quantum behaved particle swarm optimization to multiobjective context

Ata Kabán, Souham Meshoul, Heyam AlBaity, 2012, 2012 IEEE Congress on Evolutionary Computation.

Topic Identification in Dynamical Text by Complexity Pursuit

Ata Kabán, Ella Bingham, Mark A. Girolami, 2003, Neural Processing Letters.

Compressed fisher linear discriminant analysis: classification of randomly projected data

Ata Kabán, Robert J. Durrant, A. Kabán, 2010, KDD.

Robust mixture modeling using the Pearson type VII distribution

Jonathan M. Garibaldi, Jianyong Sun, Ata Kabán, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise

Ata Kabán, Alexander N. Dolia, Martin Lages, 2003, KES.

Special issue on advances in learning with label noise

Benoît Frénay, Ata Kabán, 2015, Neurocomputing.

Dimension-Free Error Bounds from Random Projections

Ata Kabán, A. Kabán, 2019, AAAI.

On an equivalence between PLSI and LDA

Ata Kabán, Mark A. Girolami, M. Girolami, 2003, SIGIR.

Finding Uninformative Features in Binary Data

Ata Kabán, Xin Wang, A. Kabán, 2005, IDEAL.

A Bound on the Performance of LDA in Randomly Projected Data Spaces

Ata Kabán, Robert J. Durrant, 2010, 2010 20th International Conference on Pattern Recognition.

Multi-task signal recovery by higher level hyper-parameter sharing

Ata Kabán, Sakinah Ali Pitchay, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

ICA-Based Binary Feature Construction

Ata Kabán, Ella Bingham, A. Kabán, 2006, ICA.

A fast algorithm for robust mixtures in the presence of measurement errors

Jianyong Sun, Ata Kabán, 2010, IEEE Trans. Neural Networks.

A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections

Ata Kabán, 2015, ACML.

How effective is Cauchy-EDA in high dimensions?

Ata Kabán, Robert J. Durrant, Momodou L. Sanyang, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Single-frame Signal Recovery using a Similarity-prior based on Pearson Type VII MRF

Ata Kabán, Sakinah Ali Pitchay, 2012, ICPRAM.

Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators

Ata Kabán, Henry W. J. Reeve, A. Kabán, 2019, ALT.

Parallel problem solving from nature - PPSN VIII : 8th International Conference, Birmingham, UK, September 18-22, 2004 : proceedings

Edmund K. Burke, Xin Yao, Jose A. Lozano, 2004 .

A comprehensive introduction to label noise

Benoît Frénay, Ata Kabán, A. Kabán, 2014, ESANN.

Random projections versus random selection of features for classification of high dimensional data

Ata Kabán, Sachin Mylavarapu, A. Kabán, 2013, 2013 13th UK Workshop on Computational Intelligence (UKCI).

Model-Based Estimation of Word Saliency in Text

Ata Kabán, Xin Wang, A. Kabán, 2006, Discovery Science.

Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement

Ata Kabán, Sakinah Ali Pitchay, 2013, IDEAL.

The organisation and visualisation of document corpora: a probabilistic approach

Ata Kabán, Mark A. Girolami, Alexei Vinokourov, 2000, Proceedings 11th International Workshop on Database and Expert Systems Applications.

Dimension-Adaptive Bounds on Compressive FLD Classification

Ata Kabán, Robert J. Durrant, 2013, ALT.

A tight bound on the performance of Fisher's linear discriminant in randomly projected data spaces

Ata Kabán, Robert J. Durrant, A. Kabán, 2012, Pattern Recognit. Lett..

A Fast Algorithm for Robust Mixtures in the Presence of Measurement Errors

Jianyong Sun, Ata Kabán, Somak Raychaudhury, 2007, IEEE Transactions on Neural Networks.

Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions

Ata Kabán, Robert J. Durrant, A. Kabán, 2013, ACML.

Improved Bounds on the Dot Product under Random Projection and Random Sign Projection

Ata Kabán, A. Kabán, 2015, KDD.

Finding Topics in Dynamical Text: Application to Chat Line Discussions

Ata Kabán, Ella Bingham, Mark A. Girolami, 2001, WWW Posters.

A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation

Ata Kabán, A. Kabán, 2008, Discovery Science.

Quantum behaved particle swarm optimization for data clustering with multiple objectives

Ata Kabán, Souham Meshoul, Heyam AlBaity, 2014, 2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

A Comprehensive Introduction to Label Noise: Proceedings of the 2014 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014)

Benoît Frénay, Ata Kabán, 2014 .

Latent variable models with application to text based document representation

Ata Kabán, 2001 .

Heavy tails with parameter adaptation in random projection based continuous EDA

Ata Kabán, Momodou L. Sanyang, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Robust mixture clustering using Pearson type VII distribution

Jonathan M. Garibaldi, Jianyong Sun, Ata Kabán, 2010, Pattern Recognit. Lett..

Large-Scale Estimation of Distribution Algorithms with Adaptive Heavy Tailed Random Projection Ensembles

Ata Kabán, Momodou L. Sanyang, 2019, Journal of Computer Science and Technology.

Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise

Ata Kabán, Henry W. J. Reeve, A. Kabán, 2019, ICML.

Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space

Ata Kabán, Robert J. Durrant, A. Kabán, 2012, AISTATS.

Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions

Ata Kabán, Robert J. Durrant, A. Kabán, 2015, Machine Learning.

A generative probabilistic approach to visualizing sets of symbolic sequences

Peter Tiño, Yi Sun, Ata Kabán, 2004, KDD '04.

On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets

Jianyong Sun, Ata Kabán, Somak Raychaudhury, 2006, Discovery Science.

Large scale continuous EDA using mutual information

Ata Kabán, Momodou L. Sanyang, Qi Xu, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams

Ata Kabán, Mark A. Girolami, M. Girolami, 2002, Journal of Intelligent Information Systems.

Single-frame image recovery using a Pearson type VII MRF

Ata Kabán, Sakinah Ali Pitchay, A. Kabán, 2012, Neurocomputing.

On Bayesian classification with Laplace priors

Ata Kabán, A. Kabán, 2007, Pattern Recognit. Lett..

Multivariate Cauchy EDA Optimisation

Ata Kabán, Momodou L. Sanyang, A. Kabán, 2014, IDEAL.

Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus

Ata Kabán, Mark A. Girolami, 2004, Neural Processing Letters.

Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles

Ata Kabán, Mark A. Girolami, M. Girolami, 2003, NIPS.

When is 'nearest neighbour' meaningful: A converse theorem and implications

Ata Kabán, Robert J. Durrant, A. Kabán, 2009, J. Complex..

Structure from Randomness in Halfspace Learning with the Zero-One Loss

Ata Kabán, Robert J. Durrant, A. Kabán, 2020, J. Artif. Intell. Res..

On Compressive Ensemble Induced Regularisation: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble?

Ata Kabán, 2017, ALT.

Compressive Learning of Multi-layer Perceptrons: An Error Analysis

Ata Kabán, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

New Bounds on Compressive Linear Least Squares Regression

Ata Kabán, 2014, AISTATS.

Multi-class classification in the presence of labelling errors

Ata Kabán, Jakramate Bootkrajang, A. Kabán, 2011, ESANN.

Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences

András Lörincz, Ata Kabán, Botond Szatmáry, 2001, Neurocomputing.

A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data

Ata Kabán, Mark A. Girolami, M. Girolami, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Sharp Generalization Error Bounds for Randomly-projected Classifiers

Ata Kabán, Robert J. Durrant, A. Kabán, 2013, ICML.

Classification with unknown class conditional label noise on non-compact feature spaces

Ata Kabán, Henry W. J. Reeve, A. Kabán, 2019, COLT.

A dynamic bibliometric model for identifying online communities

Ata Kabán, Xin Wang, A. Kabán, 2007, Data Mining and Knowledge Discovery.

REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension

Ata Kabán, Momodou L. Sanyang, 2016, PPSN.

Learning kernel logistic regression in the presence of class label noise

Ata Kabán, Jakramate Bootkrajang, A. Kabán, 2014, Pattern Recognition.

A scalable generative topographic mapping for sparse data sequences

Ata Kabán, 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm

Ata Kabán, Souham Meshoul, Heyam AlBaity, 2012, ICONIP.

Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation

Peter Tiño, Frank-Michael Schleif, Ata Kabán, 2016, ANNPR.

A New Look at Compressed Ordinary Least Squares

Ata Kabán, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Classification of mislabelled microarrays using robust sparse logistic regression

Ata Kabán, Jakramate Bootkrajang, A. Kabán, 2013, Bioinform..

Robust Visual Mining of Data with Error Information

Jianyong Sun, Ata Kabán, Somak Raychaudhury, 2007, PKDD.

Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains

Ata Kabán, Mark A. Girolami, M. Girolami, 2005, Data Mining and Knowledge Discovery.

State Aggregation in Higher Order Markov Chains for Finding Online Communities

Ata Kabán, Xin Wang, 2006, IDEAL.

Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories

Ata Kabán, A. Kabán, Ata Kabán, 2007, Machine Learning.

Learning to Read Between the Lines: The Aspect Bernoulli Model

Ata Kabán, Ella Bingham, T. Hirsimäki, 2004, SDM.

Tighter Guarantees for the Compressive Multi-layer Perceptron

Ata Kabán, Yamonporn Thummanusarn, 2018, TPNC.

K-Nearest-Neighbours with a novel similarity measure for intrusion detection

Ata Kabán, Zhenghui Ma, A. Kabán, 2013, 2013 13th UK Workshop on Computational Intelligence (UKCI).

Joint blind source separation and declipping: A geometric approach for time disjoint sources

Ata Kabán, Alastair Turl, 2017, 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

On the distance concentration awareness of certain data reduction techniques

Ata Kabán, A. Kabán, 2011, Pattern Recognit..

Fractional Norm Regularization: Learning With Very Few Relevant Features

Ata Kabán, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Semisupervised learning of hierarchical latent trait models for data visualization

Peter Tiño, Yi Sun, Ata Kabán, 2005, IEEE Transactions on Knowledge and Data Engineering.

Two approaches of using heavy tails in high dimensional EDA

Ata Kabán, Momodou L. Sanyang, Hanno Muehlbrandt, 2014, 2014 IEEE International Conference on Data Mining Workshop.

The aspect Bernoulli model: multiple causes of presences and absences

Ata Kabán, Ella Bingham, Mikael Fortelius, 2009, Pattern Analysis and Applications.

A General Framework for a Principled Hierarchical Visualization of Multivariate Data

Peter Tiño, Ata Kabán, Mark A. Girolami, 2002, IDEAL.

Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective

Ata Kabán, Jakramate Bootkrajang, Robert J. Durrant, 2013, Evolutionary Computation.

Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra

Ata Kabán, Somak Raychaudhury, Louisa Nolan, 2005, SDM.

Deconvolutive Clustering of Markov States

Ata Kabán, Xin Wang, A. Kabán, 2006, ECML.

Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features

Ata Kabán, Robert J. Durrant, A. Kabán, 2008, ECML/PKDD.

Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments

Ata Kabán, Jakramate Bootkrajang, 2013, IDEAL.

Label-Noise Robust Logistic Regression and Its Applications

Ata Kabán, Jakramate Bootkrajang, A. Kabán, 2012, ECML/PKDD.

Random Projection Through the Lens of Data Complexity Indicators

Ata Kabán, Yamonporn Thummanusarn, 2021, 2021 International Conference on Data Mining Workshops (ICDMW).