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358 results on '"Castellanos-Domínguez, Germán"'

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1. Deep Learning Semantic Segmentation of Feet Using Infrared Thermal Images

4. Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images

5. Forward Modelling Complexity Influence in EEG Source Localization Using Real EEG Data

6. Analysis and Classification of MoCap Data by Hilbert Space Embedding-Based Distance and Multikernel Learning

7. Linear Projection Learned from Hybrid CKA for Enhancing Distance-Based Classifiers

8. Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasks

9. EEG Based Brain Mapping by Using Frequency-Spatio-Temporal Constraints

10. Relative Minimum Distance Between Projected Bags for Improved Multiple Instance Classification

11. Entropy-Based Relevance Selection of Independent Components Supporting Motor Imagery Tasks

12. Detecting EEG Dynamic Changes Using Supervised Temporal Patterns

13. Sub Band CSP Using Spatial Entropy-Based Relevance in MI Tasks

14. Multiple Instance Learning Selecting Time-Frequency Features for Brain Computing Interfaces

15. Relevance of Filter Bank Common Spatial Patterns Using Multiple Kernel Learning in Motor Imagery

16. Multimodal Alzheimer Diagnosis Using Instance-Based Data Representation and Multiple Kernel Learning

17. Identification of Nonstationary Brain Networks Using Time-Variant Autoregressive Models

18. GMM Background Modeling Using Divergence-Based Weight Updating

20. Assessment of the Relation Between Low-Frequency Features and Velum Opening by Using Real Articulatory Data

21. Order Tracking by Square-Root Cubature Kalman Filter with Constraints

22. Identification of Relevant Inter-channel EEG Connectivity Patterns: A Kernel-Based Supervised Approach

23. Fall Detection Algorithm Based on Thresholds and Residual Events

24. Magnetic Resonance Image Selection for Multi-Atlas Segmentation Using Mixture Models

25. Kernel Centered Alignment Supervised Metric for Multi-Atlas Segmentation

26. Information-Based Cost Function for a Bayesian MRI Segmentation Framework

27. Predicting Sub-cellular Location of Proteins Based on Hierarchical Clustering and Hidden Markov Models

30. Neural Decoding Using Kernel-Based Functional Representation of ECoG Recordings

31. A Comparison between Time-Frequency and Cepstral Feature Representations for the Classification of Seismic-Volcanic Signals

32. Quadratic Problem Formulation with Linear Constraints for Normalized Cut Clustering

33. Spectral Clustering Using Compactly Supported Graph Building

34. Estimation of Cyclostationary Codebooks for Kernel Adaptive Filtering

35. Kernel-Based Image Representation for Brain MRI Discrimination

36. Unsupervised Kernel Function Building Using Maximization of Information Potential Variability

37. Spectral Correlation Measure for Selecting Intrinsic Mode Functions

38. Stationary Signal Separation Using Multichannel Local Segmentation

40. Non–referenced Quality Assessment of Image Processing Methods in Infrared Non-destructive Testing

41. Phonocardiography Signal Segmentation for Telemedicine Environments

42. Rainfall Forecasting Based on Ensemble Empirical Mode Decomposition and Neural Networks

43. Feature Selection by Relevance Analysis for Abandoned Object Classification

44. Extraction of Stationary Spectral Components Using Stochastic Variability

45. Finite Rank Series Modeling for Discrimination of Non-stationary Signals

46. Image Synthesis Based on Manifold Learning

47. Methodology for Epileptic Episode Detection Using Complexity-Based Features

48. Methodology for Attention Deficit/Hyperactivity Disorder Detection by Means of Event-Related Potentials

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