2008 |
34 | EE | Ata Kabán:
A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation.
Discovery Science 2008: 332-343 |
33 | EE | Ata Kabán,
Robert J. Durrant:
Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features.
ECML/PKDD (1) 2008: 580-596 |
32 | EE | Xin Wang,
Ata Kabán:
A dynamic bibliometric model for identifying online communities.
Data Min. Knowl. Discov. 16(1): 67-107 (2008) |
31 | EE | Ata Kabán,
Ella Bingham:
Factorisation and denoising of 0-1 data: A variational approach.
Neurocomputing 71(10-12): 2291-2308 (2008) |
2007 |
30 | EE | Jianyong Sun,
Ata Kabán,
Somak Raychaudhury:
Robust mixtures in the presence of measurement errors.
ICML 2007: 847-854 |
29 | EE | Jianyong Sun,
Ata Kabán,
Somak Raychaudhury:
Robust Visual Mining of Data with Error Information.
PKDD 2007: 573-580 |
28 | EE | Ata Kabán:
Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories.
Machine Learning 68(1): 63-95 (2007) |
27 | EE | Ata Kabán:
On Bayesian classification with Laplace priors.
Pattern Recognition Letters 28(10): 1271-1282 (2007) |
26 | EE | Markus Harva,
Ata Kabán:
Variational learning for rectified factor analysis.
Signal Processing 87(3): 509-527 (2007) |
2006 |
25 | EE | Ata Kabán,
Jianyong Sun,
Somak Raychaudhury,
Louisa Nolan:
On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets.
Discovery Science 2006: 125-136 |
24 | EE | Xin Wang,
Ata Kabán:
Model-Based Estimation of Word Saliency in Text.
Discovery Science 2006: 279-290 |
23 | EE | Ata Kabán,
Xin Wang:
Deconvolutive Clustering of Markov States.
ECML 2006: 246-257 |
22 | EE | Ata Kabán,
Ella Bingham:
ICA-Based Binary Feature Construction.
ICA 2006: 140-148 |
21 | EE | Xin Wang,
Ata Kabán:
State Aggregation in Higher Order Markov Chains for Finding Online Communities.
IDEAL 2006: 1023-1030 |
2005 |
20 | EE | Xin Wang,
Ata Kabán:
Finding Uninformative Features in Binary Data.
IDEAL 2005: 40-47 |
19 | EE | Ata Kabán:
A Scalable Generative Topographic Mapping for Sparse Data Sequences.
ITCC (1) 2005: 51-56 |
18 | | Ata Kabán,
Louisa Nolan,
Somak Raychaudhury:
Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra.
SDM 2005 |
17 | EE | Mark Girolami,
Ata Kabán:
Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains.
Data Min. Knowl. Discov. 10(3): 175-196 (2005) |
16 | EE | 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) |
2004 |
15 | | Xin Yao,
Edmund K. Burke,
José Antonio Lozano,
Jim Smith,
Juan J. 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
Springer 2004 |
14 | EE | Peter Tiño,
Ata Kabán,
Yi Sun:
A generative probabilistic approach to visualizing sets of symbolic sequences.
KDD 2004: 701-706 |
13 | EE | Ata Kabán,
Ella Bingham,
T. Hirsimäki:
Learning to Read Between the Lines: The Aspect Bernoulli Model.
SDM 2004 |
2003 |
12 | EE | 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 |
11 | EE | Mark Girolami,
Ata Kabán:
Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles.
NIPS 2003 |
10 | EE | Mark Girolami,
Ata Kabán:
On an equivalence between PLSI and LDA.
SIGIR 2003: 433-434 |
9 | | Ella Bingham,
Ata Kabán,
Mark Girolami:
Topic Identification in Dynamical Text by Complexity Pursuit.
Neural Processing Letters 17(1): 69-83 (2003) |
2002 |
8 | EE | Ata Kabán,
Peter Tiño,
Mark Girolami:
A General Framework for a Principled Hierarchical Visualization of Multivariate Data.
IDEAL 2002: 518-523 |
7 | | Ata Kabán,
Mark Girolami:
A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams.
J. Intell. Inf. Syst. 18(2-3): 107-125 (2002) |
6 | | Ata Kabán,
Mark Girolami:
Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus.
Neural Processing Letters 15(1): 31-43 (2002) |
2001 |
5 | EE | Ella Bingham,
Ata Kabán,
Mark Girolami:
Finding Topics in Dynamical Text: Application to Chat Line Discussions.
WWW Posters 2001 |
4 | EE | Ata Kabán,
Mark 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) |
3 | EE | 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) |
2000 |
2 | EE | Mark Girolami,
Alexei Vinokourov,
Ata Kabán:
The Organization and Visualization of Document Corpora: A Probabilistic Approach.
DEXA Workshop 2000: 558-564 |
1 | EE | Ata Kabán,
Mark Girolami:
Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents.
ICPR 2000: 2744-2747 |