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Danilo P. Mandic Vis

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*2009
65EEClive Cheong Took, Danilo P. Mandic: The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes. IEEE Transactions on Signal Processing 57(4): 1316-1327 (2009)
64EEDavid Looney, Danilo P. Mandic: Multiscale Image Fusion Using Complex Extensions of EMD. IEEE Transactions on Signal Processing 57(4): 1626-1630 (2009)
2008
63EETomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski: EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique. ICIC (1) 2008: 122-129
62EETomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Anca L. Ralescu, Danilo P. Mandic: Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. ICONIP (1) 2008: 453-460
61EEMo Chen, Temujin Gautama, Danilo P. Mandic: An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks. IEEE Transactions on Neural Networks 19(1): 183-189 (2008)
60EEDanilo P. Mandic, Phebe Vayanos, Mo Chen, Su Lee Goh: Online Detection of the Modality of Complex-Valued Real World Signals. Int. J. Neural Syst. 18(2): 67-74 (2008)
59EEMaciej Pedzisz, Danilo P. Mandic: A Homomorphic Neural Network for Modeling and Prediction. Neural Computation 20(4): 1042-1064 (2008)
58EEDanilo P. Mandic, Wlodzislaw Duch: Preface. Neural Networks 21(6): 797-798 (2008)
57EEDeniz Erdogmus, Danilo P. Mandic, Toshihisa Tanaka: Advances in blind signal processing. Neurocomputing 71(10-12): 2069-2070 (2008)
56EEWai Yie Leong, Wei Liu, Danilo P. Mandic: Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing. Neurocomputing 71(10-12): 2344-2355 (2008)
2007
55 Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic: Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I Springer 2007
54 Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic: Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II Springer 2007
53EETomasz M. Rutkowski, Danilo P. Mandic: Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations. Artifical Intelligence for Human Computing 2007: 155-169
52EEWai Yie Leong, Danilo P. Mandic: Noisy Component Extraction (Noice). ISCAS 2007: 3243-3246
51EEPhebe Vayanos, Mo Chen, Beth Jelfs, Danilo P. Mandic: Exploiting Nonlinearity in Adaptive Signal Processing. NOLISP 2007: 57-77
50EEArmelle Wautier, Lionel Husson, Ionut-Dan Plai, Danilo P. Mandic: Algorithms for BER-Constrained Variable-Length Equalizers driven by Channel Response Knowledge over Frequency-Selective Radio Channel. VTC Spring 2007: 1761-1765
49EERamaswamy Palaniappan, Danilo P. Mandic: Biometrics from Brain Electrical Activity: A Machine Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(4): 738-742 (2007)
48EEWei Liu, Danilo P. Mandic, Andrzej Cichocki: Analysis and Online Realization of the CCA Approach for Blind Source Separation. IEEE Transactions on Neural Networks 18(5): 1505-1510 (2007)
47EESu Lee Goh, Danilo P. Mandic: Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size. IEEE Transactions on Neural Networks 18(5): 1511-1516 (2007)
46EESu Lee Goh, Danilo P. Mandic: An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. Neural Computation 19(4): 1039-1055 (2007)
45EESu Lee Goh, Danilo P. Mandic: An augmented CRTRL for complex-valued recurrent neural networks. Neural Networks 20(10): 1061-1066 (2007)
44EEDanilo P. Mandic, Su Lee Goh, Kazuyuki Aihara: Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain. VLSI Signal Processing 48(1-2): 99-108 (2007)
43EERamaswamy Palaniappan, Danilo P. Mandic: EEG Based Biometric Framework for Automatic Identity Verification. VLSI Signal Processing 49(2): 243-250 (2007)
42EETomasz M. Rutkowski, Danilo P. Mandic, Allan Kardec Barros: A Multimodal Approach to Communicative Interactivity Classification. VLSI Signal Processing 49(2): 317-328 (2007)
41EEMartin Golz, David Sommer, Mo Chen, Udo Trutschel, Danilo P. Mandic: Feature Fusion for the Detection of Microsleep Events. VLSI Signal Processing 49(2): 329-342 (2007)
2006
40EEAndré Borges Cavalcante, Danilo P. Mandic, Tomasz M. Rutkowski, Allan Kardec Barros: Speech Enhancement Based on the Response Features of Facilitated EI Neurons. ICA 2006: 585-592
39EEWei Liu, Danilo P. Mandic, Andrzej Cichocki: An analysis of the CCA approach for blind source separation and its adaptive realization. ISCAS 2006
38EEWei Liu, Danilo P. Mandic, Andrzej Cichocki: Blind source extraction of instantaneous noisy mixtures using a linear predictor. ISCAS 2006
37EEBeth 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. KES (3) 2006: 1216-1223
36EETomasz 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. KES (3) 2006: 1232-1239
35EEYoshikazu Washizawa, Toshihisa Tanaka, Danilo P. Mandic, Andrzej Cichocki: A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. KES (3) 2006: 1248-1255
34EEAnthony Kuh, Chaopin Zhu, Danilo P. Mandic: Sensor Network Localization Using Least Squares Kernel Regression. KES (3) 2006: 1280-1287
33EEWei Liu, Danilo P. Mandic: A normalised kurtosis-based algorithm for blind source extraction from noisy measurements. Signal Processing 86(7): 1580-1585 (2006)
32EEAllan Kardec Barros, Danilo P. Mandic, Jan Larsen: Introductory Note. VLSI Signal Processing 45(1-2): 5-6 (2006)
2005
31EEDanilo 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. ICANN (2) 2005: 715-721
30EERamaswamy Palaniappan, Danilo P. Mandic: Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric? ICANN (2) 2005: 735-740
29EETomasz M. Rutkowski, Danilo P. Mandic: Communicative Interactivity - A Multimodal Communicative Situation Classification Approach. ICANN (2) 2005: 741-746
28EEDavid Sommer, Mo Chen, Martin Golz, Udo Trutschel, Danilo P. Mandic: Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection. ICANN (2) 2005: 753-759
27EEWei Liu, Danilo P. Mandic, Andrzej Cichocki: A class of novel blind source extraction algorithms based on a linear predictor. ISCAS (4) 2005: 3599-3602
26EESu Lee Goh, Danilo P. Mandic: Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN. IEEE Transactions on Signal Processing 53(5): 1827-1836 (2005)
2004
25EETemujin Gautama, Danilo P. Mandic, Marc M. Van Hulle: A non-parametric test for detecting the complex-valued nature of time series. KES Journal 8(2): 99-106 (2004)
24EESu Lee Goh, Danilo P. Mandic: A Complex-Valued RTRL Algorithm for Recurrent Neural Networks. Neural Computation 16(12): 2699-2713 (2004)
23EEGavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic: Heteroscedastic kernel ridge regression. Neurocomputing 57: 105-124 (2004)
22EEMaria G. Jafari, Jonathon A. Chambers, Danilo P. Mandic: A novel adaptive learning rate sequential blind source separation algorithm. Signal Processing 84(4): 801-804 (2004)
2003
21EEGavin 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. ESANN 2003: 209-214
20EEMaria G. Jafari, Danilo P. Mandic, Jonathon A. Chambers: A Fast Converging Sequential Blind Source Separation Algorithm for Cyclostationary Sources. KES 2003: 1343-1349
19EETemujin Gautama, Danilo P. Mandic, Marc M. Van Hulle: A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series. KES 2003: 1364-1371
18EESu Lee Goh, Danilo P. Mandic: A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks. KES 2003: 340-350
17 Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle: Signal Nonlinearity in fMRI: A Comparison between BOLD and MION. IEEE Trans. Med. Imaging 22(5): 636-644 (2003)
16EEAndrew I. Hanna, Danilo P. Mandic: A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function. Neural Networks 16(2): 155-159 (2003)
15EESu Lee Goh, Danilo P. Mandic: Recurrent neural networks with trainable amplitude of activation functions. Neural Networks 16(8): 1095-1100 (2003)
14 Andrew I. Hanna, Danilo P. Mandic: A Data Reusing Nonlinear Gradient Descent Algorithm for a Class of Complex Valued Neural Adaptive Filters. Neural Processing Letters 17(1): 85-91 (2003)
2002
13 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. ESANN 2002: 19-24
12EERobert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic: Error Functions for Prediction of Episodes of Poor Air Quality. ICANN 2002: 1031-1036
11EEAlex S. Palmer, Moe Razaz, Danilo P. Mandic: Spatially Adaptive Image Restoration by Neural Network Filtering. SBRN 2002: 184-191
10EEAlex S. Palmer, Moe Razaz, Danilo P. Mandic: A spatially-adaptive neural network approach to regularized image restoration. Journal of Intelligent and Fuzzy Systems 13(2-4): 177-185 (2002)
9EEDanilo P. Mandic: Data-Reusing Recurrent Neural Adaptive Filters. Neural Computation 14(11): 2693-2707 (2002)
2000
8 Danilo P. Mandic, Richard Harvey, Djemal H. Kolonic: On the Choice of Tactile Code. IEEE International Conference on Multimedia and Expo (I) 2000: 195-198
7 Danilo P. Mandic, Jonathon A. Chambers: Relationships Between the A Priori and A Posteriori Errors in Nonlinear Adaptive Neural Filters. Neural Computation 12(6): 1285-1292 (2000)
6 Danilo P. Mandic, Jonathon A. Chambers: Towards the Optimal Learning Rate for Backpropagation. Neural Processing Letters 11(1): 1-5 (2000)
5EEDanilo P. Mandic, Jonathon A. Chambers: A normalised real time recurrent learning algorithm. Signal Processing 80(9): 1909-1916 (2000)
4EEDanilo P. Mandic, Jonathon A. Chambers: Advanced RNN Based NARMA Predictors. VLSI Signal Processing 26(1-2): 105-117 (2000)
1999
3EEDanilo P. Mandic, Jonathon A. Chambers: Toward an optimal PRNN-based nonlinear predictor. IEEE Transactions on Neural Networks 10(6): 1435-1442 (1999)
2 Danilo P. Mandic, Jonathon A. Chambers: Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network. Neural Computation 11(5): 1069-1077 (1999)
1EEDanilo P. Mandic, Jonathon A. Chambers: Exploiting inherent relationships in RNN architectures. Neural Networks 12(10): 1341-1345 (1999)

Coauthor Index

1Tülay Adali [31]
2Kazuyuki Aihara [44]
3Luís A. Alexandre [54] [55]
4Javier A. Barria [31]
5Allan Kardec Barros [32] [36] [40] [42]
6Christos Boukis [37]
7André Borges Cavalcante [40]
8Gavin C. Cawley [12] [13] [21] [23]
9Jonathon A. Chambers [1] [2] [3] [4] [5] [6] [7] [20] [22] [31]
10Mo Chen [28] [37] [41] [51] [60] [61]
11Andrzej Cichocki [27] [35] [36] [38] [39] [48] [62] [63]
12Anthony Constantinides [31]
13Stephen R. Dorling [12] [13] [21] [23]
14Wlodzislaw Duch [54] [55] [58]
15Deniz Erdogmus [57]
16Robert J. Foxall [12] [13] [21] [23]
17Temujin Gautama [17] [19] [25] [37] [61]
18Su Lee Goh [15] [18] [24] [26] [37] [44] [45] [46] [47] [60]
19Martin Golz [28] [31] [41]
20Andrew I. Hanna [14] [16]
21Richard Harvey [8]
22Marc M. Van Hulle [17] [19] [25]
23Lionel Husson [50]
24Maria G. Jafari [20] [22]
25Beth Jelfs [37] [51]
26Djemal H. Kolonic [8]
27Anthony Kuh [31] [34]
28Tony Kuh [37]
29Jan Larsen [32]
30Wai Yie Leong [52] [56]
31Wei Liu [27] [33] [38] [39] [48] [56]
32David Looney [64]
33Dragan Obradovic [31]
34Ramaswamy Palaniappan [30] [43] [49]
35Alex S. Palmer [10] [11]
36Maciej Pedzisz [59]
37Ionut-Dan Plai [50]
38Andrzej W. Przybyszewski [63]
39Anca L. Ralescu [62]
40Moe Razaz [10] [11]
41Tomasz M. Rutkowski [29] [36] [37] [40] [42] [53] [62] [63]
42Joaquim Marques de Sá [54] [55]
43David Sommer [28] [41]
44Nicola L. C. Talbot [13] [21] [23]
45Toshihisa Tanaka [35] [57] [62]
46Clive Cheong Took [65]
47Udo Trutschel [28] [31] [41]
48Phebe Vayanos [37] [51] [60]
49François B. Vialatte [36]
50Yoshikazu Washizawa [35]
51Armelle Wautier [50]
52Philippe De Wilde [31]
53Chaopin Zhu [34]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)