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Danilo P. Mandic: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic
    Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:209-214 [Conf]
  2. Robert J. Foxall, Gavin C. Cawley, Nicola L. C. Talbot, Stephen R. Dorling, Danilo P. Mandic
    Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:19-24 [Conf]
  3. André B. Cavalcante, Danilo P. Mandic, Tomasz M. Rutkowski, Allan Kardec Barros
    Speech Enhancement Based on the Response Features of Facilitated EI Neurons. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:585-592 [Conf]
  4. Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic
    Error Functions for Prediction of Episodes of Poor Air Quality. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1031-1036 [Conf]
  5. Danilo P. Mandic, Dragan Obradovic, Anthony Kuh, Tülay Adali, Udo Trutschel, Martin Golz, Philippe De Wilde, Javier A. Barria, Anthony Constantinides, Jonathon A. Chambers
    Data Fusion for Modern Engineering Applications: An Overview. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:715-721 [Conf]
  6. Ramaswamy Palaniappan, Danilo P. Mandic
    Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric? [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:735-740 [Conf]
  7. Tomasz M. Rutkowski, Danilo P. Mandic
    Communicative Interactivity - A Multimodal Communicative Situation Classification Approach. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:741-746 [Conf]
  8. David Sommer, Mo Chen, Martin Golz, Udo Trutschel, Danilo P. Mandic
    Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:753-759 [Conf]
  9. Danilo P. Mandic, Richard Harvey, Djemal H. Kolonic
    On the Choice of Tactile Code. [Citation Graph (0, 0)][DBLP]
    IEEE International Conference on Multimedia and Expo (I), 2000, pp:195-198 [Conf]
  10. Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle
    A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1364-1371 [Conf]
  11. Su Lee Goh, Danilo P. Mandic
    A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:340-350 [Conf]
  12. M. G. Jafari, Danilo P. Mandic, Jonathon A. Chambers
    A Fast Converging Sequential Blind Source Separation Algorithm for Cyclostationary Sources. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:1343-1349 [Conf]
  13. Beth Jelfs, Phebe Vayanos, Mo Chen, Su Lee Goh, Christos Boukis, Temujin Gautama, Tomasz M. Rutkowski, Tony Kuh, Danilo P. Mandic
    An Online Method for Detecting Nonlinearity Within a Signal. [Citation Graph (0, 0)][DBLP]
    KES (3), 2006, pp:1216-1223 [Conf]
  14. Anthony Kuh, Chaopin Zhu, Danilo P. Mandic
    Sensor Network Localization Using Least Squares Kernel Regression. [Citation Graph (0, 0)][DBLP]
    KES (3), 2006, pp:1280-1287 [Conf]
  15. Tomasz M. Rutkowski, François B. Vialatte, Andrzej Cichocki, Danilo P. Mandic, Allan Kardec Barros
    Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach. [Citation Graph (0, 0)][DBLP]
    KES (3), 2006, pp:1232-1239 [Conf]
  16. Yoshikazu Washizawa, Toshihisa Tanaka, Danilo P. Mandic, Andrzej Cichocki
    A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. [Citation Graph (0, 0)][DBLP]
    KES (3), 2006, pp:1248-1255 [Conf]
  17. Alex S. Palmer, Moe Razaz, Danilo P. Mandic
    Spatially Adaptive Image Restoration by Neural Network Filtering. [Citation Graph (0, 0)][DBLP]
    SBRN, 2002, pp:184-191 [Conf]
  18. Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic
    Heteroscedastic kernel ridge regression. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:105-124 [Journal]
  19. Alex S. Palmer, Moe Razaz, Danilo P. Mandic
    A spatially-adaptive neural network approach to regularized image restoration. [Citation Graph (0, 0)][DBLP]
    Journal of Intelligent and Fuzzy Systems, 2002, v:13, n:2-4, pp:177-185 [Journal]
  20. Su Lee Goh, Danilo P. Mandic
    A Complex-Valued RTRL Algorithm for Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:12, pp:2699-2713 [Journal]
  21. Danilo P. Mandic
    Data-Reusing Recurrent Neural Adaptive Filters. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:11, pp:2693-2707 [Journal]
  22. Danilo P. Mandic, Jonathon A. Chambers
    Relationships Between the A Priori and A Posteriori Errors in Nonlinear Adaptive Neural Filters. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:6, pp:1285-1292 [Journal]
  23. Danilo P. Mandic, Jonathon A. Chambers
    Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:5, pp:1069-1077 [Journal]
  24. Su Lee Goh, Danilo P. Mandic
    An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:4, pp:1039-1055 [Journal]
  25. Su Lee Goh, Danilo P. Mandic
    Recurrent neural networks with trainable amplitude of activation functions. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:8, pp:1095-1100 [Journal]
  26. Andrew I. Hanna, Danilo P. Mandic
    A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:2, pp:155-159 [Journal]
  27. Danilo P. Mandic, Jonathon A. Chambers
    Exploiting inherent relationships in RNN architectures. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:10, pp:1341-1345 [Journal]
  28. Andrew I. Hanna, Danilo P. Mandic
    A Data Reusing Nonlinear Gradient Descent Algorithm for a Class of Complex Valued Neural Adaptive Filters. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:17, n:1, pp:85-91 [Journal]
  29. Danilo P. Mandic, Jonathon A. Chambers
    Towards the Optimal Learning Rate for Backpropagation. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2000, v:11, n:1, pp:1-5 [Journal]
  30. Ramaswamy Palaniappan, Danilo P. Mandic
    Biometrics from Brain Electrical Activity: A Machine Learning Approach. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:4, pp:738-742 [Journal]
  31. Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle
    Signal Nonlinearity in fMRI: A Comparison between BOLD and MION. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2003, v:22, n:5, pp:636-644 [Journal]
  32. Wei Liu, Danilo P. Mandic
    A normalised kurtosis-based algorithm for blind source extraction from noisy measurements. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2006, v:86, n:7, pp:1580-1585 [Journal]
  33. M. G. Jafari, Jonathon A. Chambers, Danilo P. Mandic
    A novel adaptive learning rate sequential blind source separation algorithm. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2004, v:84, n:4, pp:801-804 [Journal]
  34. Danilo P. Mandic, Jonathon A. Chambers
    A normalised real time recurrent learning algorithm. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2000, v:80, n:9, pp:1909-1916 [Journal]
  35. Wai Yie Leong, Danilo P. Mandic
    Noisy Component Extraction (Noice). [Citation Graph (0, 0)][DBLP]
    ISCAS, 2007, pp:3243-3246 [Conf]
  36. Wei Liu, Danilo P. Mandic, Andrzej Cichocki
    Blind source extraction of instantaneous noisy mixtures using a linear predictor. [Citation Graph (0, 0)][DBLP]
    ISCAS, 2006, pp:- [Conf]
  37. Wei Liu, Danilo P. Mandic, Andrzej Cichocki
    An analysis of the CCA approach for blind source separation and its adaptive realization. [Citation Graph (0, 0)][DBLP]
    ISCAS, 2006, pp:- [Conf]
  38. Tomasz M. Rutkowski, Danilo P. Mandic
    Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations. [Citation Graph (0, 0)][DBLP]
    Artifical Intelligence for Human Computing, 2007, pp:155-169 [Conf]
  39. Allan Kardec Barros, Danilo P. Mandic, Jan Larsen
    Introductory Note. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2006, v:45, n:1-2, pp:5-6 [Journal]
  40. Danilo P. Mandic, Su Lee Goh, Kazuyuki Aihara
    Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2007, v:48, n:1-2, pp:99-108 [Journal]

  41. EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique. [Citation Graph (, )][DBLP]


  42. An Auditory Oddball Based Brain-Computer Interface System Using Multivariate EMD. [Citation Graph (, )][DBLP]


  43. Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. [Citation Graph (, )][DBLP]


  44. A class of novel blind source extraction algorithms based on a linear predictor. [Citation Graph (, )][DBLP]


  45. Exploiting Nonlinearity in Adaptive Signal Processing. [Citation Graph (, )][DBLP]


  46. Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals. [Citation Graph (, )][DBLP]


  47. Algorithms for BER-Constrained Variable-Length Equalizers driven by Channel Response Knowledge over Frequency-Selective Radio Channel. [Citation Graph (, )][DBLP]


  48. Online tracking of the degree of nonlinearity within complex signals. [Citation Graph (, )][DBLP]


  49. Cascaded approach for microsleep data extraction. [Citation Graph (, )][DBLP]


  50. A machine learning enhanced empirical mode decomposition. [Citation Graph (, )][DBLP]


  51. Qualitative assessment of intrinsic mode functions of empirical mode decomposition. [Citation Graph (, )][DBLP]


  52. Duality between widely linear and dual channel adaptive filtering. [Citation Graph (, )][DBLP]


  53. Study of the quaternion LMS and four-channel LMS algorithms. [Citation Graph (, )][DBLP]


  54. Multichannel spectral pattern separation - An EEG processing application -. [Citation Graph (, )][DBLP]


  55. Qualitative analysis of rotational modes within three dimensional empirical mode decomposition. [Citation Graph (, )][DBLP]


  56. A split quaternion nonlinear adaptive filter. [Citation Graph (, )][DBLP]


  57. Applications of complex augmented kernels to wind profile prediction. [Citation Graph (, )][DBLP]


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