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Ata Kabán: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mark Girolami, Alexei Vinokourov, Ata Kabán
    The Organization and Visualization of Document Corpora: A Probabilistic Approach. [Citation Graph (0, 0)][DBLP]
    DEXA Workshop, 2000, pp:558-564 [Conf]
  2. Ata Kabán, Jianyong Sun, Somak Raychaudhury, Louisa Nolan
    On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2006, pp:125-136 [Conf]
  3. Xin Wang, Ata Kabán
    Model-Based Estimation of Word Saliency in Text. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2006, pp:279-290 [Conf]
  4. Ata Kabán, Xin Wang
    Deconvolutive Clustering of Markov States. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:246-257 [Conf]
  5. Ata Kabán, Ella Bingham
    ICA-Based Binary Feature Construction. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:140-148 [Conf]
  6. Ata Kabán, Mark Girolami
    Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2744-2747 [Conf]
  7. Ata Kabán, Peter Tiño, Mark Girolami
    A General Framework for a Principled Hierarchical Visualization of Multivariate Data. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:518-523 [Conf]
  8. Xin Wang, Ata Kabán
    Finding Uninformative Features in Binary Data. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:40-47 [Conf]
  9. Xin Wang, Ata Kabán
    State Aggregation in Higher Order Markov Chains for Finding Online Communities. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:1023-1030 [Conf]
  10. Ata Kabán
    A Scalable Generative Topographic Mapping for Sparse Data Sequences. [Citation Graph (0, 0)][DBLP]
    ITCC (1), 2005, pp:51-56 [Conf]
  11. Peter Tiño, Ata Kabán, Yi Sun
    A generative probabilistic approach to visualizing sets of symbolic sequences. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:701-706 [Conf]
  12. Alexander N. Dolia, Martin Lages, Ata Kabán
    An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:570-577 [Conf]
  13. Mark Girolami, Ata Kabán
    Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  14. Ata Kabán, Louisa Nolan, Somak Raychaudhury
    Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  15. Ata Kabán, Ella Bingham, T. Hirsimäki
    Learning to Read Between the Lines: The Aspect Bernoulli Model. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  16. Mark Girolami, Ata Kabán
    On an equivalence between PLSI and LDA. [Citation Graph (0, 0)][DBLP]
    SIGIR, 2003, pp:433-434 [Conf]
  17. Ella Bingham, Ata Kabán, Mark Girolami
    Finding Topics in Dynamical Text: Application to Chat Line Discussions. [Citation Graph (0, 0)][DBLP]
    WWW Posters, 2001, pp:- [Conf]
  18. Mark Girolami, Ata Kabán
    Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2005, v:10, n:3, pp:175-196 [Journal]
  19. 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. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:1437-1442 [Journal]
  20. Ata Kabán, Mark Girolami
    A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2002, v:18, n:2-3, pp:107-125 [Journal]
  21. Ella Bingham, Ata Kabán, Mark Girolami
    Topic Identification in Dynamical Text by Complexity Pursuit. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:17, n:1, pp:69-83 [Journal]
  22. Ata Kabán, Mark Girolami
    Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:15, n:1, pp:31-43 [Journal]
  23. Ata Kabán, Mark Girolami
    A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2001, v:23, n:8, pp:859-872 [Journal]
  24. Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán
    Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:3, pp:384-400 [Journal]
  25. Markus Harva, Ata Kabán
    Variational learning for rectified factor analysis. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:3, pp:509-527 [Journal]
  26. Jianyong Sun, Ata Kabán, Somak Raychaudhury
    Robust mixtures in the presence of measurement errors. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:847-854 [Conf]
  27. Jianyong Sun, Ata Kabán, Somak Raychaudhury
    Robust Visual Mining of Data with Error Information. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:573-580 [Conf]
  28. Ata Kabán
    Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:68, n:1, pp:63-95 [Journal]
  29. Ata Kabán
    On Bayesian classification with Laplace priors. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:10, pp:1271-1282 [Journal]

  30. A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation. [Citation Graph (, )][DBLP]

  31. Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features. [Citation Graph (, )][DBLP]

  32. A dynamic bibliometric model for identifying online communities. [Citation Graph (, )][DBLP]

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