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Peter Tiño: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Juan C. Cuevas-Tello, Peter Tiño, Somak Raychaudhury
    A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:614-621 [Conf]
  2. Peter Tiño, Georg Dorffner, Christian Schittenkopf
    Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics. [Citation Graph (0, 0)][DBLP]
    Hybrid Neural Systems, 1998, pp:255-269 [Conf]
  3. Peter Tiño, Barbara Hammer
    Architectural Bias in Recurrent Neural Networks - Fractal Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1359-1364 [Conf]
  4. Peter Tiño, Ian T. Nabney, Yi Sun
    Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:421-428 [Conf]
  5. Huanhuan Chen, Peter Tiño, Xin Yao
    A Probabilistic Ensemble Pruning Algorithm. [Citation Graph (0, 0)][DBLP]
    ICDM Workshops, 2006, pp:878-882 [Conf]
  6. Peter Tiño, Igor Farkas
    On Non-markovian Topographic Organization of Receptive Fields in Recursive Self-organizing Map. [Citation Graph (0, 0)][DBLP]
    ICNC (2), 2005, pp:676-685 [Conf]
  7. Peter Tiño, Ashley J. S. Mills
    Learning Beyond Finite Memory in Recurrent Networks of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    ICNC (2), 2005, pp:666-675 [Conf]
  8. 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]
  9. Peter Tiño, Igor Farkas, Jort van Mourik
    Recursive Self-organizing Map as a Contractive Iterative Function System. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:327-334 [Conf]
  10. Gabriela Polcicova, Peter Tiño
    Introducing a Star Topology into Latent Class Models for Collaborative Filtering. [Citation Graph (0, 0)][DBLP]
    AIAI, 2004, pp:293-304 [Conf]
  11. Peter Tiño, Michal Stancík, Lubica Benusková
    Building Predictive Models on Complex Symbolic Sequences with a Second-Order Recurrent BCM Network with Lateral Inhibition. [Citation Graph (0, 0)][DBLP]
    IJCNN (2), 2000, pp:265-270 [Conf]
  12. Jane M. Binner, Barry Jones, Graham Kendall, Jonathan A. Tepper, Peter Tiño
    Does Money Matter? An Artificial Intelligence Approach. [Citation Graph (0, 0)][DBLP]
    JCIS, 2006, pp:- [Conf]
  13. 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]
  14. Peter Tiño, Georg Dorffner
    Recurrent Neural Networks with Iterated Function Systems Dynamics. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:526-532 [Conf]
  15. Tsungnan Lin, Bill G. Horne, Peter Tiño, C. Lee Giles
    Learning long-term dependencies is not as difficult with NARX networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:577-583 [Conf]
  16. Shan Parfitt, Peter Tiño, Georg Dorffner
    Graded Grammaticality in Prediction Fractal Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:52-58 [Conf]
  17. Peter Tiño, Georg Dorffner
    Building Predictive Models from Fractal Representations of Symbolic Sequences. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:645-651 [Conf]
  18. Richard Price, Peter Tiño
    Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies. [Citation Graph (0, 0)][DBLP]
    PPSN, 2004, pp:982-990 [Conf]
  19. Peter Tiño, Ian T. Nabney, Bruce S. Williams, Jens Lösel, Yi Sun
    Nonlinear Prediction of Quantitative Structure-Activity Relationships. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Modeling, 2004, v:44, n:5, pp:1647-1653 [Journal]
  20. Peter Tiño, Georg Dorffner
    Predicting the Future of Discrete Sequences from Fractal Representations of the Past. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:45, n:2, pp:187-217 [Journal]
  21. Barbara Hammer, Peter Tiño
    Recurrent Neural Networks with Small Weights Implement Definite Memory Machines. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:8, pp:1897-1929 [Journal]
  22. Peter Tiño, Igor Farkas, Jort van Mourik
    Dynamics and Topographic Organization of Recursive Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:10, pp:2529-2567 [Journal]
  23. Peter Tiño, Barbara Hammer
    Architectural Bias in Recurrent Neural Networks: Fractal Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:8, pp:1931-1957 [Journal]
  24. Peter Tiño, Bill G. Horne, C. Lee Giles
    Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks). [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:6, pp:1379-1414 [Journal]
  25. Peter Tiño, Ashley J. S. Mills
    Learning Beyond Finite Memory in Recurrent Networks of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:3, pp:591-613 [Journal]
  26. Gabriela Polcicová, Peter Tiño
    Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patterns. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1183-1199 [Journal]
  27. Peter Tiño, Christian Schittenkopf, Georg Dorffner
    Volatility Trading ia Temporal Pattern Recognition in Quantised Financial Time Series. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2001, v:4, n:4, pp:283-299 [Journal]
  28. Peter Tiño, Ian T. Nabney
    Hierarchical GTM: Constructing Localized Nonlinear Projection Manifolds in a Principled Way. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:5, pp:639-656 [Journal]
  29. 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]
  30. Peter Tiño
    Spatial representation of symbolic sequences through iterative function systems. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 1999, v:29, n:4, pp:386-393 [Journal]

  31. Visualization of Structured Data via Generative Probabilistic Modeling. [Citation Graph (, )][DBLP]

  32. Predictive Modeling with Echo State Networks. [Citation Graph (, )][DBLP]

  33. Bifurcations of Renormalization Dynamics in Self-organizing Neural Networks. [Citation Graph (, )][DBLP]

  34. Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model. [Citation Graph (, )][DBLP]

  35. Still alive: Extending keep-alive intervals in P2P overlay networks. [Citation Graph (, )][DBLP]

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