| Overview and recent advances in partial least squares R Rosipal, N Krämer Subspace, Latent Structure and Feature Selection Techniques; Saunders C …, 2005 | 1292 | 2005 |
| Kernel partial least squares regression in reproducing kernel hilbert space R Rosipal, LJ Trejo Journal of machine learning research 2 (Dec), 97-123, 2001 | 1171 | 2001 |
| Brain-Computer Interfaces for 1-D and 2-D Cursor Control: Designs Using Volitional Control of the EEG Spectrum or Steady-State Visual Evoked Potentials LJ Trejo, R Rosipal, B Matthews IEEE Transactions on Neural Systems and Rehabilitation Engineering 14 (2 …, 2006 | 346 | 2006 |
| Kernel PCA for feature extraction and de-noising in nonlinear regression R Rosipal, M Girolami, LJ Trejo, A Cichocki Neural Computing & Applications 10 (3), 231-243, 2001 | 253 | 2001 |
| EEG-based estimation and classification of mental fatigue LJ Trejo, K Kubitz, R Rosipal, RL Kochavi, LD Montgomery Psychology 6 (05), 572-589, 2015 | 202 | 2015 |
| Eigenproblems in pattern recognition T Bie, N Cristianini, R Rosipal Handbook of Geometric Computing, 129-167, 2005 | 193* | 2005 |
| Kernel PLS-SVC for linear and nonlinear classification R Rosipal, LJ Trejo, B Matthews Proceedings of the Twentieth International Conference on Machine Learning …, 2003 | 145 | 2003 |
| Kernel partial least squares for nonlinear regression and discrimination R Rosipal Neural Network World 13 (3), 291-300, 2003 | 135 | 2003 |
| EEG-based estimation of mental fatigue: convergent evidence for a three-state model LJ Trejo, K Knuth, R Prado, R Rosipal, K Kubitz, R Kochavi, B Matthews, ... International Conference on Foundations of Augmented Cognition, 201-211, 2007 | 105 | 2007 |
| Nonlinear Partial Least Squares: An Overview R Rosipal Chemoinformatics and Advanced Machine Learning Perspectives: Complex …, 2011 | 96 | 2011 |
| Multimodal neuroelectric interface development LJ Trejo, KR Wheeler, CC Jorgensen, R Rosipal, ST Clanton, B Matthews, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 11 (2 …, 2003 | 90 | 2003 |
| An expectation-maximization approach to nonlinear component analysis R Rosipal, M Girolami Neural Computation 13 (3), 505-510, 2001 | 80 | 2001 |
| In search of objective components for sleep quality indexing in normal sleep R Rosipal, A Lewandowski, G Dorffner Biological psychology 94 (1), 210-220, 2013 | 58 | 2013 |
| Measures and models for predicting cognitive fatigue LJ Trejo, R Kochavi, K Kubitz, LD Montgomery, R Rosipal, B Matthews Proceedings of SPIE Vol. 5797: Biomonitoring for Physiological and Cognitive …, 2005 | 47* | 2005 |
| Prediction of chaotic time-series with a resource-allocating RBF network R Rosipal, M Koska, I Farkaš Neural Processing Letters 7 (3), 185-197, 1998 | 46 | 1998 |
| Kernel principal component regression with EM approach to nonlinear principal components extraction R Rosipal, LJ Trejo, A Cichocki Technical Report, University of Paisley, 2000 | 38 | 2000 |
| EEG-based drivers’ drowsiness monitoring using a hierarchical Gaussian mixture model R Rosipal, B Peters, G Kecklund, T Åkerstedt, G Gruber, M Woertz, ... International Conference on Foundations of Augmented Cognition, 294-303, 2007 | 36 | 2007 |
| Kernel PCA feature extraction of event-related potentials for human signal detection performance R Rosipal, M Girolami, LJ Trejo Artificial Neural Networks in Medicine and Biology, 321-326, 2000 | 35 | 2000 |
| Kernel-based regression and objective nonlinear measures to assess brain functioning R Rosipal PhD Thesis, University of Paisley, Scotland, 2001 | 34 | 2001 |
| Extracting more information from EEG recordings for a better description of sleep A Lewandowski, R Rosipal, G Dorffner Computer Methods and Programs in Biomedicine 108 (3), 961-972, 2012 | 25 | 2012 |
Leonardo Jose Trejo, Ph. D.Pacific Development and Technology, LLCE-mail confirmado em pacdel.com
