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| 2012 | ||
|---|---|---|
| 133 | Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Danilo P. Mandic, Kiyotoshi Matsuoka: On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach. LVA/ICA 2012: 297-305 | |
| 132 | Mosabber Uddin Ahmed, Danilo P. Mandic: Multivariate Multiscale Entropy Analysis. IEEE Signal Process. Lett. 19(2): 91-94 (2012) | |
| 131 | Marco Leo, David Looney, Tiziana D'Orazio, Danilo P. Mandic: Identification of Defective Areas in Composite Materials by Bivariate EMD Analysis of Ultrasound. IEEE T. Instrumentation and Measurement 61(1): 221-232 (2012) | |
| 130 | Yili Xia, Danilo P. Mandic: Widely Linear Adaptive Frequency Estimation of Unbalanced Three-Phase Power Systems. IEEE T. Instrumentation and Measurement 61(1): 74-83 (2012) | |
| 129 | Dahir H. Dini, Danilo P. Mandic: Class of Widely Linear Complex Kalman Filters. IEEE Trans. Neural Netw. Learning Syst. 23(5): 775-786 (2012) | |
| 128 | Clive Cheong Took, Scott C. Douglas, Danilo P. Mandic: On Approximate Diagonalization of Correlation Matrices in Widely Linear Signal Processing. IEEE Transactions on Signal Processing 60(3): 1469-1473 (2012) | |
| 127 | Ling Li, Yili Xia, Beth Jelfs, Jianting Cao, Danilo P. Mandic: Modelling of brain consciousness based on collaborative adaptive filters. Neurocomputing 76(1): 36-43 (2012) | |
| 126 | Beth Jelfs, Danilo P. Mandic, Scott C. Douglas: An adaptive approach for the identification of improper complex signals. Signal Processing 92(2): 335-344 (2012) | |
| 2011 | ||
| 125 | Soroush Javidi, Clive Cheong Took, Cyrus Jahanchahi, Nicolas Le Bihan, Danilo P. Mandic: Blind extraction of improper quaternion sources. ICASSP 2011: 3708-3711 | |
| 124 | David Looney, Danilo P. Mandic: Augmented complex matrix factorisation. ICASSP 2011: 4072-4075 | |
| 123 | Scott C. Douglas, Danilo P. Mandic: The least-mean-magnitude-phase algorithm with applications to communications systems. ICASSP 2011: 4152-4155 | |
| 122 | Yili Xia, Ling Li, Jianting Cao, Martin Golz, Danilo P. Mandic: A collaborative filtering approach for quasi-brain-death EEG analysis. ICASSP 2011: 645-648 | |
| 121 | Yili Xia, Scott C. Douglas, Danilo P. Mandic: Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions. IJCNN 2011: 1700-1705 | |
| 120 | Mingxuan Wang, Clive Cheong Took, Danilo P. Mandic: A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes. IJCNN 2011: 2783-2786 | |
| 119 | Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage, Andrzej Cichocki: Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. NIPS 2011: 1269-1277 | |
| 118 | Tomasz M. Rutkowski, Andrzej Cichocki, Danilo P. Mandic, Toyoaki Nishida: Emotional empathy transition patterns from human brain responses in interactive communication situations - Brain-computer and machine interactive interfacing approach. AI Soc. 26(3): 301-315 (2011) | |
| 117 | Clive Cheong Took, Danilo P. Mandic, Fuzhen Zhang: On the unitary diagonalisation of a special class of quaternion matrices. Appl. Math. Lett. 24(11): 1806-1809 (2011) | |
| 116 | Tomasz M. Rutkowski, Toshihisa Tanaka, Andrzej Cichocki, Donna Erickson, Jianting Cao, Danilo P. Mandic: Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms. Computers in Human Behavior 27(5): 1512-1518 (2011) | |
| 115 | Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took: A Quaternion Gradient Operator and Its Applications. IEEE Signal Process. Lett. 18(1): 47-50 (2011) | |
| 114 | Dahir H. Dini, Danilo P. Mandic, Simon J. Julier: A Widely Linear Complex Unscented Kalman Filter. IEEE Signal Process. Lett. 18(11): 623-626 (2011) | |
| 113 | Yili Xia, Danilo P. Mandic, Ali H. Sayed: An Adaptive Diffusion Augmented CLMS Algorithm for Distributed Filtering of Noncircular Complex Signals. IEEE Signal Process. Lett. 18(11): 659-662 (2011) | |
| 112 | Yili Xia, Beth Jelfs, Marc M. Van Hulle, José C. Príncipe, Danilo P. Mandic: An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. IEEE Transactions on Neural Networks 22(1): 74-83 (2011) | |
| 111 | Soroush Javidi, Clive Cheong Took, Danilo P. Mandic: Fast Independent Component Analysis Algorithm for Quaternion Valued Signals. IEEE Transactions on Neural Networks 22(12): 1967-1978 (2011) | |
| 110 | Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic: Quaternion-Valued Nonlinear Adaptive Filtering. IEEE Transactions on Neural Networks 22(8): 1193-1206 (2011) | |
| 109 | Naveed ur Rehman, Danilo P. Mandic: Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Transactions on Signal Processing 59(5): 2421-2426 (2011) | |
| 108 | Cheolsoo Park, David Looney, Marc M. Van Hulle, Danilo P. Mandic: The complex local mean decomposition. Neurocomputing 74(6): 867-875 (2011) | |
| 107 | Clive Cheong Took, Danilo P. Mandic: Augmented second-order statistics of quaternion random signals. Signal Processing 91(2): 214-224 (2011) | |
| 2010 | ||
| 106 | Marco Leo, David Looney, Tiziana D'Orazio, Danilo P. Mandic: Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals. ANNPR 2010: 219-230 | |
| 105 | Scott C. Douglas, Danilo P. Mandic: Performance analysis of the conventional complex LMS and augmented complex LMS algorithms. ICASSP 2010: 3794-3797 | |
| 104 | Qi-Wei Shi, Wei Zhou, Jianting Cao, Danilo P. Mandic, Toshihisa Tanaka, Tomasz M. Rutkowski, Ru-Bin Wang: An Auditory Oddball Based Brain-Computer Interface System Using Multivariate EMD. ICIC (2) 2010: 140-148 | |
| 103 | Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic: On HR calculus, quaternion valued stochastic gradient, and adaptive three dimensional wind forecasting. IJCNN 2010: 1-5 | |
| 102 | David Looney, Cheolsoo Park, Yili Xia, Preben Kidmose, Michael Ungstrup, Danilo P. Mandic: Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework. IJCNN 2010: 1-5 | |
| 101 | Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic: Identification of improper processes by variable tap-length complex-valued adaptive filters. IJCNN 2010: 1-6 | |
| 100 | Clive Cheong Took, Danilo P. Mandic, Kazuyuki Aihara: Quaternion-valued short term forecasting of wind profile. IJCNN 2010: 1-6 | |
| 99 | Naveed ur Rehman, Danilo P. Mandic: Quadrivariate Empirical Mode Decomposition. IJCNN 2010: 1-7 | |
| 98 | Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides, Lazaros Polymenakos: A modified Armijo rule for the online selection of learning rate of the LMS algorithm. Digital Signal Processing 20(3): 630-639 (2010) | |
| 97 | Wai Yie Leong, Danilo P. Mandic: Noisy Component Extraction (NoiCE). IEEE Trans. on Circuits and Systems 57-I(3): 664-671 (2010) | |
| 96 | Soroush Javidi, Danilo P. Mandic, Andrzej Cichocki: Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics. IEEE Trans. on Circuits and Systems 57-I(7): 1404-1416 (2010) | |
| 95 | Naveed ur Rehman, Danilo P. Mandic: Empirical mode decomposition for trivariate signals. IEEE Transactions on Signal Processing 58(3): 1059-1068 (2010) | |
| 94 | Clive Cheong Took, Danilo P. Mandic: Quaternion-valued stochastic gradient-based adaptive IIR filtering. IEEE Transactions on Signal Processing 58(7): 3895-3901 (2010) | |
| 93 | Clive Cheong Took, Danilo P. Mandic: A quaternion widely linear adaptive filter. IEEE Transactions on Signal Processing 58(8): 4427-4431 (2010) | |
| 92 | Tomasz M. Rutkowski, Danilo P. Mandic, Andrzej Cichocki, Andrzej W. Przybyszewski: Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis. Journal of Circuits, Systems, and Computers 19(1): 215-229 (2010) | |
| 91 | Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic: Split quaternion nonlinear adaptive filtering. Neural Networks 23(3): 426-434 (2010) | |
| 90 | Yili Xia, Clive Cheong Took, Danilo P. Mandic: An augmented affine projection algorithm for the filtering of noncircular complex signals. Signal Processing 90(6): 1788-1799 (2010) | |
| 89 | Beth Jelfs, Soroush Javidi, Phebe Vayanos, Danilo P. Mandic: Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing. Signal Processing Systems 61(1): 105-115 (2010) | |
| 2009 | ||
| 88 | Danilo P. Mandic, Susanne Still, Scott C. Douglas: Duality between widely linear and dual channel adaptive filtering. ICASSP 2009: 1729-1732 | |
| 87 | Bukhari Che Ujang, Clive Cheong Took, Aleksandar Kavcic, Danilo P. Mandic: A split quaternion nonlinear adaptive filter. ICASSP 2009: 1745-1748 | |
| 86 | Clive Cheong Took, Danilo P. Mandic, Jacob Benesty: Study of the quaternion LMS and four-channel LMS algorithms. ICASSP 2009: 3109-3112 | |
| 85 | Naveed ur Rehman, Danilo P. Mandic: Qualitative analysis of rotational modes within three dimensional empirical mode decomposition. ICASSP 2009: 3449-3452 | |
| 84 | Anthony Kuh, Danilo P. Mandic: Applications of complex augmented kernels to wind profile prediction. ICASSP 2009: 3581-3584 | |
| 83 | Tomasz M. Rutkowski, Andrzej Cichocki, Toshihisa Tanaka, Danilo P. Mandic, Jianting Cao, Anca L. Ralescu: Multichannel spectral pattern separation - An EEG processing application -. ICASSP 2009: 373-376 | |
| 82 | Danilo P. Mandic: Complex valued recurrent neural networks for noncircular complex signals. IJCNN 2009: 1987-1992 | |
| 81 | Xiujie Huang, Aleksandar Kavcic, Xiao Ma, Danilo P. Mandic: Upper bounds on the capacities of non-controllable finite-state channels using dynamic programming methods. ISIT 2009: 2346-2350 | |
| 80 | Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides: A class of stochastic gradient algorithms with exponentiated error cost functions. Digital Signal Processing 19(2): 201-212 (2009) | |
| 79 | Clive Cheong Took, Danilo P. Mandic: Adaptive IIR filtering of noncircular complex signals. IEEE Transactions on Signal Processing 57(10): 4111-4118 (2009) | |
| 78 | Clive 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) | |
| 77 | David Looney, Danilo P. Mandic: Multiscale Image Fusion Using Complex Extensions of EMD. IEEE Transactions on Signal Processing 57(4): 1626-1630 (2009) | |
| 2008 | ||
| 76 | David Looney, Danilo P. Mandic: A machine learning enhanced empirical mode decomposition. ICASSP 2008: 1897-1900 | |
| 75 | Mo Chen, Danilo P. Mandic, Preben Kidmose, Michael Ungstrup: Qualitative assessment of intrinsic mode functions of empirical mode decomposition. ICASSP 2008: 1905-1908 | |
| 74 | Wai Yie Leong, Danilo P. Mandic: Cascaded approach for microsleep data extraction. ICASSP 2008: 2045-2048 | |
| 73 | Danilo P. Mandic, Phebe Vayanos, Soroush Javidi, Beth Jelfs, Kazuyuki Aihara: Online tracking of the degree of nonlinearity within complex signals. ICASSP 2008: 2061-2064 | |
| 72 | David Looney, Danilo P. Mandic: Fusion of visual and thermal images using complex extension of EMD. ICDSC 2008: 1-8 | |
| 71 | 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 | |
| 70 | Tomasz 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 | |
| 69 | Wai Yie Leong, Danilo P. Mandic: Post-Nonlinear Blind Extraction in the Presence of Ill-Conditioned Mixing. IEEE Trans. on Circuits and Systems 55-I(9): 2631-2638 (2008) | |
| 68 | 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) | |
| 67 | 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) | |
| 66 | Maciej Pedzisz, Danilo P. Mandic: A Homomorphic Neural Network for Modeling and Prediction. Neural Computation 20(4): 1042-1064 (2008) | |
| 65 | Danilo P. Mandic, Wlodzislaw Duch: Preface. Neural Networks 21(6): 797-798 (2008) | |
| 64 | Deniz Erdogmus, Danilo P. Mandic, Toshihisa Tanaka: Advances in blind signal processing. Neurocomputing 71(10-12): 2069-2070 (2008) | |
| 63 | 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 | ||
| 62 | 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 | |
| 61 | 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 | |
| 60 | 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 | |
| 59 | Wai Yie Leong, Danilo P. Mandic: Noisy Component Extraction (Noice). ISCAS 2007: 3243-3246 | |
| 58 | Phebe Vayanos, Mo Chen, Beth Jelfs, Danilo P. Mandic: Exploiting Nonlinearity in Adaptive Signal Processing. NOLISP 2007: 57-77 | |
| 57 | 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 | |
| 56 | 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) | |
| 55 | 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) | |
| 54 | 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) | |
| 53 | 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) | |
| 52 | Su Lee Goh, Danilo P. Mandic: An augmented CRTRL for complex-valued recurrent neural networks. Neural Networks 20(10): 1061-1066 (2007) | |
| 51 | 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) | |
| 50 | Ramaswamy Palaniappan, Danilo P. Mandic: EEG Based Biometric Framework for Automatic Identity Verification. VLSI Signal Processing 49(2): 243-250 (2007) | |
| 49 | Tomasz M. Rutkowski, Danilo P. Mandic, Allan Kardec Barros: A Multimodal Approach to Communicative Interactivity Classification. VLSI Signal Processing 49(2): 317-328 (2007) | |
| 48 | 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 | ||
| 47 | 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 | |
| 46 | Wei Liu, Danilo P. Mandic, Andrzej Cichocki: An analysis of the CCA approach for blind source separation and its adaptive realization. ISCAS 2006 | |
| 45 | Wei Liu, Danilo P. Mandic, Andrzej Cichocki: Blind source extraction of instantaneous noisy mixtures using a linear predictor. ISCAS 2006 | |
| 44 | 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 | |
| 43 | 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 | |
| 42 | Yoshikazu Washizawa, Toshihisa Tanaka, Danilo P. Mandic, Andrzej Cichocki: A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. KES (3) 2006: 1248-1255 | |
| 41 | Anthony Kuh, Chaopin Zhu, Danilo P. Mandic: Sensor Network Localization Using Least Squares Kernel Regression. KES (3) 2006: 1280-1287 | |
| 40 | Wai Yie Leong, John Homer, Danilo P. Mandic: An Implementation of Nonlinear Multiuser Detection in Rayleigh Fading Channel. EURASIP J. Wireless Comm. and Networking 2006: (2006) | |
| 39 | Wei Liu, Danilo P. Mandic: A normalised kurtosis-based algorithm for blind source extraction from noisy measurements. Signal Processing 86(7): 1580-1585 (2006) | |
| 38 | Allan Kardec Barros, Danilo P. Mandic, Jan Larsen: Introductory Note. VLSI Signal Processing 45(1-2): 5-6 (2006) | |
| 2005 | ||
| 37 | Danilo P. Mandic, Dragan Obradovic, Anthony Kuh, Tülay Adali, Udo Trutschel, Martin Golz, Philippe De Wilde, Javier A. Barria, Anthony G. Constantinides, Jonathon A. Chambers: Data Fusion for Modern Engineering Applications: An Overview. ICANN (2) 2005: 715-721 | |
| 36 | Ramaswamy Palaniappan, Danilo P. Mandic: Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric? ICANN (2) 2005: 735-740 | |
| 35 | Tomasz M. Rutkowski, Danilo P. Mandic: Communicative Interactivity - A Multimodal Communicative Situation Classification Approach. ICANN (2) 2005: 741-746 | |
| 34 | 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 | |
| 33 | 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 | |
| 32 | 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 | ||
| 31 | 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) | |
| 30 | Su Lee Goh, Danilo P. Mandic: A Complex-Valued RTRL Algorithm for Recurrent Neural Networks. Neural Computation 16(12): 2699-2713 (2004) | |
| 29 | 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) | |
| 28 | 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 | ||
| 27 | 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 | |
| 26 | Maria G. Jafari, Danilo P. Mandic, Jonathon A. Chambers: A Fast Converging Sequential Blind Source Separation Algorithm for Cyclostationary Sources. KES 2003: 1343-1349 | |
| 25 | 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 | |
| 24 | Su Lee Goh, Danilo P. Mandic: A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks. KES 2003: 340-350 | |
| 23 | 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) | |
| 22 | Andrew I. Hanna, Danilo P. Mandic: A fully adaptive normalized nonlinear gradient descent algorithm for complex-valued nonlinear adaptive filters. IEEE Transactions on Signal Processing 51(10): 2540-2549 (2003) | |
| 21 | 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) | |
| 20 | Su Lee Goh, Danilo P. Mandic: Recurrent neural networks with trainable amplitude of activation functions. Neural Networks 16(8): 1095-1100 (2003) | |
| 19 | 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 | ||
| 18 | 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 | |
| 17 | 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 | |
| 16 | Warren Sherliker, Igor R. Krcmar, Milorad M. Bozic, Danilo P. Mandic: On sensitivity of neural adaptive filters with respect to the slope parameter of a neuron activation function. ICASSP 2002: 1061-1064 | |
| 15 | Danilo P. Mandic, Andrew I. Hanna, Dai I. Kim: A general adaptive normalised nonlinear-gradient descent algorithm for nonlinear adaptive filters. ICASSP 2002: 1353-1356 | |
| 14 | Djemal H. Kolonic, Danilo P. Mandic, Ben Milner, Richard Harvey: On the derivation of the optimal payload size for packet based transmission over a binary symmetrical communication channel. ICASSP 2002: 4120-4123 | |
| 13 | Andrew I. Hanna, Danilo P. Mandic: A normalised complex backpropagation algorithm. ICASSP 2002: 977-980 | |
| 12 | Alex S. Palmer, Moe Razaz, Danilo P. Mandic: Spatially Adaptive Image Restoration by Neural Network Filtering. SBRN 2002: 184-191 | |
| 11 | 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) | |
| 10 | Danilo P. Mandic: Data-Reusing Recurrent Neural Adaptive Filters. Neural Computation 14(11): 2693-2707 (2002) | |
| 2000 | ||
| 9 | 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 | |
| 8 | Danilo P. Mandic, Jonathon A. Chambers: On the choice of parameters of the cost function in nested modular RNN's. IEEE Trans. Neural Netw. Learning Syst. 11(2): 315-322 (2000) | |
| 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 | Danilo P. Mandic, Jonathon A. Chambers: A normalised real time recurrent learning algorithm. Signal Processing 80(9): 1909-1916 (2000) | |
| 4 | Danilo P. Mandic, Jonathon A. Chambers: Advanced RNN Based NARMA Predictors. VLSI Signal Processing 26(1-2): 105-117 (2000) | |
| 1999 | ||
| 3 | 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 | Danilo P. Mandic, Jonathon A. Chambers: Exploiting inherent relationships in RNN architectures. Neural Networks 12(10): 1341-1345 (1999) | |
Colors in the list of coauthors
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