| 2008 |
|---|
| 62 | EE | Tomasz 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 |
| 61 | EE | Mo 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) |
| 60 | EE | Danilo 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) |
| 59 | EE | Maciej Pedzisz,
Danilo P. Mandic:
A Homomorphic Neural Network for Modeling and Prediction.
Neural Computation 20(4): 1042-1064 (2008) |
| 58 | EE | Danilo P. Mandic,
Wlodzislaw Duch:
Preface.
Neural Networks 21(6): 797-798 (2008) |
| 57 | EE | Deniz Erdogmus,
Danilo P. Mandic,
Toshihisa Tanaka:
Advances in blind signal processing.
Neurocomputing 71(10-12): 2069-2070 (2008) |
| 56 | EE | Wai 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 |
| 53 | EE | Tomasz 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 |
| 52 | EE | Wai Yie Leong,
Danilo P. Mandic:
Noisy Component Extraction (Noice).
ISCAS 2007: 3243-3246 |
| 51 | EE | Phebe Vayanos,
Mo Chen,
Beth Jelfs,
Danilo P. Mandic:
Exploiting Nonlinearity in Adaptive Signal Processing.
NOLISP 2007: 57-77 |
| 50 | EE | Armelle 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 |
| 49 | EE | Ramaswamy Palaniappan,
Danilo P. Mandic:
Biometrics from Brain Electrical Activity: A Machine Learning Approach.
IEEE Trans. Pattern Anal. Mach. Intell. 29(4): 738-742 (2007) |
| 48 | EE | Wei 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) |
| 47 | EE | Su 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) |
| 46 | EE | Su Lee Goh,
Danilo P. Mandic:
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks.
Neural Computation 19(4): 1039-1055 (2007) |
| 45 | EE | Su Lee Goh,
Danilo P. Mandic:
An augmented CRTRL for complex-valued recurrent neural networks.
Neural Networks 20(10): 1061-1066 (2007) |
| 44 | EE | Danilo 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) |
| 43 | EE | Ramaswamy Palaniappan,
Danilo P. Mandic:
EEG Based Biometric Framework for Automatic Identity Verification.
VLSI Signal Processing 49(2): 243-250 (2007) |
| 42 | EE | Tomasz M. Rutkowski,
Danilo P. Mandic,
Allan Kardec Barros:
A Multimodal Approach to Communicative Interactivity Classification.
VLSI Signal Processing 49(2): 317-328 (2007) |
| 41 | EE | Martin 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 |
|---|
| 40 | EE | André 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 |
| 39 | EE | Wei Liu,
Danilo P. Mandic,
Andrzej Cichocki:
An analysis of the CCA approach for blind source separation and its adaptive realization.
ISCAS 2006 |
| 38 | EE | Wei Liu,
Danilo P. Mandic,
Andrzej Cichocki:
Blind source extraction of instantaneous noisy mixtures using a linear predictor.
ISCAS 2006 |
| 37 | EE | 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.
KES (3) 2006: 1216-1223 |
| 36 | EE | 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.
KES (3) 2006: 1232-1239 |
| 35 | EE | Yoshikazu Washizawa,
Toshihisa Tanaka,
Danilo P. Mandic,
Andrzej Cichocki:
A Flexible Method for Envelope Estimation in Empirical Mode Decomposition.
KES (3) 2006: 1248-1255 |
| 34 | EE | Anthony Kuh,
Chaopin Zhu,
Danilo P. Mandic:
Sensor Network Localization Using Least Squares Kernel Regression.
KES (3) 2006: 1280-1287 |
| 33 | EE | Wei Liu,
Danilo P. Mandic:
A normalised kurtosis-based algorithm for blind source extraction from noisy measurements.
Signal Processing 86(7): 1580-1585 (2006) |
| 32 | EE | Allan Kardec Barros,
Danilo P. Mandic,
Jan Larsen:
Introductory Note.
VLSI Signal Processing 45(1-2): 5-6 (2006) |
| 2005 |
|---|
| 31 | EE | 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.
ICANN (2) 2005: 715-721 |
| 30 | EE | Ramaswamy Palaniappan,
Danilo P. Mandic:
Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric?
ICANN (2) 2005: 735-740 |
| 29 | EE | Tomasz M. Rutkowski,
Danilo P. Mandic:
Communicative Interactivity - A Multimodal Communicative Situation Classification Approach.
ICANN (2) 2005: 741-746 |
| 28 | EE | David 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 |
| 27 | EE | Wei Liu,
Danilo P. Mandic,
Andrzej Cichocki:
A class of novel blind source extraction algorithms based on a linear predictor.
ISCAS (4) 2005: 3599-3602 |
| 26 | EE | Su 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 |
|---|
| 25 | EE | Temujin 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) |
| 24 | EE | Su Lee Goh,
Danilo P. Mandic:
A Complex-Valued RTRL Algorithm for Recurrent Neural Networks.
Neural Computation 16(12): 2699-2713 (2004) |
| 23 | EE | Gavin C. Cawley,
Nicola L. C. Talbot,
Robert J. Foxall,
Stephen R. Dorling,
Danilo P. Mandic:
Heteroscedastic kernel ridge regression.
Neurocomputing 57: 105-124 (2004) |
| 22 | EE | Maria 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 |
|---|
| 21 | EE | 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.
ESANN 2003: 209-214 |
| 20 | EE | Maria G. Jafari,
Danilo P. Mandic,
Jonathon A. Chambers:
A Fast Converging Sequential Blind Source Separation Algorithm for Cyclostationary Sources.
KES 2003: 1343-1349 |
| 19 | EE | Temujin 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 |
| 18 | EE | Su 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) |
| 16 | EE | Andrew 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) |
| 15 | EE | Su 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 |
| 12 | EE | Robert 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 |
| 11 | EE | Alex S. Palmer,
Moe Razaz,
Danilo P. Mandic:
Spatially Adaptive Image Restoration by Neural Network Filtering.
SBRN 2002: 184-191 |
| 10 | EE | Alex 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) |
| 9 | EE | Danilo 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) |
| 5 | EE | Danilo P. Mandic,
Jonathon A. Chambers:
A normalised real time recurrent learning algorithm.
Signal Processing 80(9): 1909-1916 (2000) |
| 4 | EE | Danilo P. Mandic,
Jonathon A. Chambers:
Advanced RNN Based NARMA Predictors.
VLSI Signal Processing 26(1-2): 105-117 (2000) |
| 1999 |
|---|
| 3 | EE | Danilo 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) |
| 1 | EE | Danilo P. Mandic,
Jonathon A. Chambers:
Exploiting inherent relationships in RNN architectures.
Neural Networks 12(10): 1341-1345 (1999) |
