default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAta Kabán
Person information
- affiliation: University of Birmingham, School of Computer Science, UK
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j34]Zhanliang Huang, Ata Kabán
, Henry W. J. Reeve:
Efficient learning with projected histograms. Data Min. Knowl. Discov. 38(6): 3948-4000 (2024)- [j33]Henry W. J. Reeve, Ata Kabán, Jakramate Bootkrajang:
Heterogeneous sets in dimensionality reduction and ensemble learning. Mach. Learn. 113(4): 1683-1704 (2024) - [j32]Ata Kabán, Henry W. J. Reeve:
Structure discovery in PAC-learning by random projections. Mach. Learn. 113(8): 5685-5730 (2024) - [c69]Efstratios Palias, Ata Kabán:
Compressive Mahalanobis Metric Learning Adapts to Intrinsic Dimension. IJCNN 2024: 1-8 - [c68]Sijia Zhou, Yunwen Lei, Ata Kabán:
Self-certified Tuple-Wise Deep Learning. ECML/PKDD (2) 2024: 303-320 - 2023
- [j31]Andrew James Turner, Ata Kabán:
PAC-learning with approximate predictors. Mach. Learn. 112(5): 1693-1732 (2023) - [j30]Zhanliang Huang, Yunwen Lei, Ata Kabán:
Optimization and Learning With Randomly Compressed Gradient Updates. Neural Comput. 35(7): 1234-1287 (2023) - [j29]Efstratios Palias, Ata Kabán:
The effect of intrinsic dimension on the Bayes-error of projected quadratic discriminant classification. Stat. Comput. 33(4): 87 (2023) - [c67]Sijia Zhou, Yunwen Lei, Ata Kabán:
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms. NeurIPS 2023 - [i8]Efstratios Palias, Ata Kabán:
The Effect of Intrinsic Dimension on Metric Learning under Compression. CoRR abs/2309.05751 (2023) - 2022
- [c66]Zhanliang Huang, Yunwen Lei, Ata Kabán:
Noise-Efficient Learning of Differentially Private Partitioning Machine Ensembles. ECML/PKDD (4) 2022: 587-603 - [i7]Andrew James Turner, Ata Kabán:
Approximability and Generalisation. CoRR abs/2203.07989 (2022) - 2021
- [c65]Yamonporn Thummanusarn, Ata Kabán:
Random Projection Through the Lens of Data Complexity Indicators. ICDM (Workshops) 2021: 482-489 - [i6]Henry W. J. Reeve, Ata Kabán:
Statistical optimality conditions for compressive ensembles. CoRR abs/2106.01092 (2021) - 2020
- [j28]Ata Kabán, Robert J. Durrant:
Structure from Randomness in Halfspace Learning with the Zero-One Loss. J. Artif. Intell. Res. 69: 733-764 (2020) - [c64]Henry W. J. Reeve, Ata Kabán:
Optimistic Bounds for Multi-output Learning. ICML 2020: 8030-8040 - [i5]Henry W. J. Reeve, Ata Kabán:
Optimistic bounds for multi-output prediction. CoRR abs/2002.09769 (2020)
2010 – 2019
- 2019
- [j27]Momodou L. Sanyang, Ata Kabán:
Large-Scale Estimation of Distribution Algorithms with Adaptive Heavy Tailed Random Projection Ensembles. J. Comput. Sci. Technol. 34(6): 1241-1257 (2019) - [c63]Ata Kabán:
Dimension-Free Error Bounds from Random Projections. AAAI 2019: 4049-4056 - [c62]Henry W. J. Reeve, Ata Kabán:
Exploiting geometric structure in mixture proportion estimation with generalised Blanchard-Lee-Scott estimators. ALT 2019: 682-699 - [c61]Henry W. J. Reeve, Ata Kabán:
Classification with unknown class-conditional label noise on non-compact feature spaces. COLT 2019: 2624-2651 - [c60]Xi Zhang, Ata Kabán:
Experiments with Random Projections Ensembles: Linear Versus Quadratic Discriminants. ICDM Workshops 2019: 719-726 - [c59]Henry W. J. Reeve, Ata Kabán:
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. ICML 2019: 5401-5409 - [c58]Ata Kabán:
Compressive Learning of Multi-layer Perceptrons: An Error Analysis. IJCNN 2019: 1-7 - [i4]Henry W. J. Reeve, Ata Kabán:
Classification with unknown class conditional label noise on non-compact feature spaces. CoRR abs/1902.05627 (2019) - [i3]Henry W. J. Reeve, Ata Kabán:
Fast Rates for a kNN Classifier Robust to Unknown Asymmetric Label Noise. CoRR abs/1906.04542 (2019) - 2018
- [c57]Ata Kabán, Yamonporn Thummanusarn:
Tighter Guarantees for the Compressive Multi-layer Perceptron. TPNC 2018: 388-400 - [i2]Kai Ming Ting, Takashi Washio, Ata Kabán:
Data Dependent Dissimilarity Measures (NII Shonan Meeting 2018-13). NII Shonan Meet. Rep. 2018 (2018) - 2017
- [c56]Ata Kabán:
On Compressive Ensemble Induced Regularisation: How Close is the Finite Ensemble Precision Matrix to the Infinite Ensemble? ALT 2017: 617-628 - [c55]Alastair Turl, Ata Kabán:
Joint blind source separation and declipping: A geometric approach for time disjoint sources. ISSPIT 2017: 220-225 - 2016
- [j26]Ata Kabán, Jakramate Bootkrajang, Robert J. Durrant:
Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective. Evol. Comput. 24(2): 255-291 (2016) - [c54]Frank-Michael Schleif, Ata Kabán, Peter Tiño:
Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation. ANNPR 2016: 42-54 - [c53]Momodou L. Sanyang, Robert J. Durrant, Ata Kabán:
How effective is Cauchy-EDA in high dimensions? CEC 2016: 3409-3416 - [c52]Qi Xu, Momodou L. Sanyang, Ata Kabán:
Large scale continuous EDA using mutual information. CEC 2016: 3718-3725 - [c51]Momodou L. Sanyang, Ata Kabán:
REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension. PPSN 2016: 859-868 - 2015
- [j25]Benoît Frénay, Ata Kabán:
Special issue on advances in learning with label noise. Neurocomputing 160: 1-2 (2015) - [j24]Robert J. Durrant, Ata Kabán:
Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions. Mach. Learn. 99(2): 257-286 (2015) - [c50]Ata Kabán:
Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension. ACML 2015: 17-32 - [c49]Ata Kabán:
A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections. ACML 2015: 65-80 - [c48]Momodou L. Sanyang, Ata Kabán:
Heavy tails with parameter adaptation in random projection based continuous EDA. CEC 2015: 2074-2081 - [c47]Ata Kabán:
Improved Bounds on the Dot Product under Random Projection and Random Sign Projection. KDD 2015: 487-496 - 2014
- [j23]Jakramate Bootkrajang, Ata Kabán:
Learning kernel logistic regression in the presence of class label noise. Pattern Recognit. 47(11): 3641-3655 (2014) - [c46]Ata Kabán:
New Bounds on Compressive Linear Least Squares Regression. AISTATS 2014: 448-456 - [c45]Benoît Frénay, Ata Kabán:
A comprehensive introduction to label noise. ESANN 2014 - [c44]Momodou L. Sanyang, Hanno Muehlbrandt, Ata Kabán:
Two approaches of using heavy tails in high dimensional EDA. ICDM Workshops 2014: 653-660 - [c43]Momodou L. Sanyang, Ata Kabán:
Multivariate Cauchy EDA Optimisation. IDEAL 2014: 449-456 - [c42]Heyam H. Al-Baity, Souham Meshoul, Ata Kabán, Lilac A. E. Al-Safadi:
Quantum behaved particle swarm optimization for data clustering with multiple objectives. SoCPaR 2014: 215-220 - 2013
- [j22]Jakramate Bootkrajang, Ata Kabán:
Classification of mislabelled microarrays using robust sparse logistic regression. Bioinform. 29(7): 870-877 (2013) - [j21]Ata Kabán:
Fractional Norm Regularization: Learning With Very Few Relevant Features. IEEE Trans. Neural Networks Learn. Syst. 24(6): 953-963 (2013) - [c41]Robert J. Durrant, Ata Kabán:
Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions. ACML 2013: 17-32 - [c40]Ata Kabán, Robert J. Durrant:
Dimension-Adaptive Bounds on Compressive FLD Classification. ALT 2013: 294-308 - [c39]Ata Kabán, Jakramate Bootkrajang, Robert John Durrant:
Towards large scale continuous EDA: a random matrix theory perspective. GECCO 2013: 383-390 - [c38]Ata Kabán:
A New Look at Compressed Ordinary Least Squares. ICDM Workshops 2013: 482-488 - [c37]Robert J. Durrant, Ata Kabán:
Sharp Generalization Error Bounds for Randomly-projected Classifiers. ICML (3) 2013: 693-701 - [c36]Sakinah Ali Pitchay, Ata Kabán:
Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement. IDEAL 2013: 294-301 - [c35]Jakramate Bootkrajang, Ata Kabán:
Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments. IDEAL 2013: 569-576 - [c34]Jakramate Bootkrajang, Ata Kabán:
Boosting in the presence of label noise. UAI 2013 - [c33]Zhenghui Ma, Ata Kabán:
K-Nearest-Neighbours with a novel similarity measure for intrusion detection. UKCI 2013: 266-271 - [c32]Sachin Mylavarapu, Ata Kabán:
Random projections versus random selection of features for classification of high dimensional data. UKCI 2013: 305-312 - [i1]Jakramate Bootkrajang, Ata Kabán:
Boosting in the presence of label noise. CoRR abs/1309.6818 (2013) - 2012
- [j20]Ata Kabán, Sakinah Ali Pitchay:
Single-frame image recovery using a Pearson type VII MRF. Neurocomputing 80: 111-118 (2012) - [j19]Robert John Durrant, Ata Kabán:
A tight bound on the performance of Fisher's linear discriminant in randomly projected data spaces. Pattern Recognit. Lett. 33(7): 911-919 (2012) - [j18]Ata Kabán:
Non-parametric detection of meaningless distances in high dimensional data. Stat. Comput. 22(2): 375-385 (2012) - [c31]Heyam H. Al-Baity, Souham Meshoul, Ata Kabán:
On extending quantum behaved particle swarm optimization to multiobjective context. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c30]Heyam H. Al-Baity, Souham Meshoul, Ata Kabán:
Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm. ICONIP (3) 2012: 456-464 - [c29]Sakinah Ali Pitchay, Ata Kabán:
Multi-task signal recovery by higher level hyper-parameter sharing. ICPR 2012: 2246-2249 - [c28]Sakinah Ali Pitchay, Ata Kabán:
Single-frame Signal Recovery using a Similarity-prior based on Pearson Type VII MRF. ICPRAM (1) 2012: 123-133 - [c27]Jakramate Bootkrajang, Ata Kabán:
Label-Noise Robust Logistic Regression and Its Applications. ECML/PKDD (1) 2012: 143-158 - [c26]Robert J. Durrant, Ata Kabán:
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space. AISTATS 2012: 337-345 - 2011
- [j17]Ata Kabán:
On the distance concentration awareness of certain data reduction techniques. Pattern Recognit. 44(2): 265-277 (2011) - [c25]Jakramate Bootkrajang, Ata Kabán:
Multi-class classification in the presence of labelling errors. ESANN 2011 - 2010
- [j16]Jianyong Sun, Ata Kabán, Jonathan M. Garibaldi:
Robust mixture clustering using Pearson type VII distribution. Pattern Recognit. Lett. 31(16): 2447-2454 (2010) - [j15]Jianyong Sun, Ata Kabán:
A fast algorithm for robust mixtures in the presence of measurement errors. IEEE Trans. Neural Networks 21(8): 1206-1220 (2010) - [c24]Robert J. Durrant, Ata Kabán:
A Bound on the Performance of LDA in Randomly Projected Data Spaces. ICPR 2010: 4044-4047 - [c23]Jianyong Sun, Ata Kabán, Jonathan M. Garibaldi:
Robust mixture modeling using the Pearson type VII distribution. IJCNN 2010: 1-7 - [c22]Robert J. Durrant, Ata Kabán:
Compressed fisher linear discriminant analysis: classification of randomly projected data. KDD 2010: 1119-1128
2000 – 2009
- 2009
- [j14]Robert J. Durrant, Ata Kabán:
When is 'nearest neighbour' meaningful: A converse theorem and implications. J. Complex. 25(4): 385-397 (2009) - [j13]Ella Bingham, Ata Kabán, Mikael Fortelius:
The aspect Bernoulli model: multiple causes of presences and absences. Pattern Anal. Appl. 12(1): 55-78 (2009) - 2008
- [j12]Xin Wang, Ata Kabán:
A dynamic bibliometric model for identifying online communities. Data Min. Knowl. Discov. 16(1): 67-107 (2008) - [j11]Ata Kabán, Ella Bingham:
Factorisation and denoising of 0-1 data: A variational approach. Neurocomputing 71(10-12): 2291-2308 (2008) - [c21]Ata Kabán:
A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation. Discovery Science 2008: 332-343 - [c20]Ata Kabán, Robert J. Durrant:
Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features. ECML/PKDD (1) 2008: 580-596 - 2007
- [j10]Ata Kabán:
Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories. Mach. Learn. 68(1): 63-95 (2007) - [j9]Ata Kabán:
On Bayesian classification with Laplace priors. Pattern Recognit. Lett. 28(10): 1271-1282 (2007) - [j8]Markus Harva, Ata Kabán:
Variational learning for rectified factor analysis. Signal Process. 87(3): 509-527 (2007) - [c19]Jianyong Sun, Ata Kabán, Somak Raychaudhury:
Robust mixtures in the presence of measurement errors. ICML 2007: 847-854 - [c18]Jianyong Sun, Ata Kabán, Somak Raychaudhury:
Robust Visual Mining of Data with Error Information. PKDD 2007: 573-580 - 2006
- [c17]Ata Kabán, Jianyong Sun, Somak Raychaudhury, Louisa Nolan:
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets. Discovery Science 2006: 125-136 - [c16]Xin Wang, Ata Kabán:
Model-Based Estimation of Word Saliency in Text. Discovery Science 2006: 279-290 - [c15]Ata Kabán, Xin Wang:
Deconvolutive Clustering of Markov States. ECML 2006: 246-257 - [c14]Ata Kabán, Ella Bingham:
ICA-Based Binary Feature Construction. ICA 2006: 140-148 - [c13]Xin Wang, Ata Kabán:
State Aggregation in Higher Order Markov Chains for Finding Online Communities. IDEAL 2006: 1023-1030 - 2005
- [j7]Mark A. Girolami, Ata Kabán:
Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. Data Min. Knowl. Discov. 10(3): 175-196 (2005) - [j6]Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán:
Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. IEEE Trans. Knowl. Data Eng. 17(3): 384-400 (2005) - [c12]Xin Wang, Ata Kabán:
Finding Uninformative Features in Binary Data. IDEAL 2005: 40-47 - [c11]Ata Kabán:
A Scalable Generative Topographic Mapping for Sparse Data Sequences. ITCC (1) 2005: 51-56 - [c10]Ata Kabán, Louisa Nolan, Somak Raychaudhury:
Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra. SDM 2005: 183-194 - 2004
- [c9]Peter Tiño, Ata Kabán, Yi Sun:
A generative probabilistic approach to visualizing sets of symbolic sequences. KDD 2004: 701-706 - [c8]Ata Kabán, Ella Bingham, T. Hirsimäki:
Learning to Read Between the Lines: The Aspect Bernoulli Model. SDM 2004: 462-466 - [e1]Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan Julián Merelo Guervós, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel:
Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings. Lecture Notes in Computer Science 3242, Springer 2004, ISBN 3-540-23092-0 [contents] - 2003
- [j5]Ella Bingham, Ata Kabán, Mark A. Girolami:
Topic Identification in Dynamical Text by Complexity Pursuit. Neural Process. Lett. 17(1): 69-83 (2003) - [c7]Alexander N. Dolia, Martin Lages, Ata Kabán:
An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise. KES 2003: 570-577 - [c6]Mark A. Girolami, Ata Kabán:
Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. NIPS 2003: 9-16 - [c5]Mark A. Girolami, Ata Kabán:
On an equivalence between PLSI and LDA. SIGIR 2003: 433-434 - 2002
- [j4]Ata Kabán, Mark A. Girolami:
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams. J. Intell. Inf. Syst. 18(2-3): 107-125 (2002) - [j3]Ata Kabán, Mark A. Girolami:
Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus. Neural Process. Lett. 15(1): 31-43 (2002) - [c4]Ata Kabán, Peter Tiño, Mark A. Girolami:
A General Framework for a Principled Hierarchical Visualization of Multivariate Data. IDEAL 2002: 518-523 - 2001
- [j2]András Lörincz, Botond Szatmáry, Ata Kabán:
Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences. Neurocomputing 38-40: 1437-1442 (2001) - [j1]Ata Kabán, Mark A. Girolami:
A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data. IEEE Trans. Pattern Anal. Mach. Intell. 23(8): 859-872 (2001) - [c3]Ella Bingham, Ata Kabán, Mark A. Girolami:
Finding Topics in Dynamical Text: Application to Chat Line Discussions. WWW Posters 2001 - 2000
- [c2]Mark A. Girolami, Alexei Vinokourov, Ata Kabán:
The Organization and Visualization of Document Corpora: A Probabilistic Approach. DEXA Workshop 2000: 558-564 - [c1]Ata Kabán, Mark A. Girolami:
Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. ICPR 2000: 2744-2747
Coauthor Index
Robert J. Durrant
aka: Robert John Durrant
aka: Robert John Durrant
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 20:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
