86 results on '"Olga Valenzuela"'
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2. Deep Learning Systems for the Classification of Cardiac Pathologies Using ECG Signals.
3. Multi-classification of Alzheimer's Disease by NSGA-II Slices Optimization and Fusion Deep Learning.
4. New Advances in Artificial Neural Networks and Machine Learning Techniques.
5. Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches.
6. COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model.
7. Advanced neural network systems for solving complex real problems.
8. Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets.
9. Computational Intelligence Methods for Time Series Analysis and Forecasting: Special Issue of IWANN 2017.
10. Advances and challenges in Bioinformatics and Biomedical Engineering: IWBBIO 2020.
11. Ontological modeling of motivational messages for physical activity coaching.
12. Automatic Mapping of Motivational Text Messages into Ontological Entities for Smart Coaching Applications.
13. Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment.
14. Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET images.
15. Advances in bioinformatics using soft-computing paradigms.
16. Main findings and advances in bioinformatics and biomedical engineering- IWBBIO 2018.
17. Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments.
18. Classification of MRI Images for Alzheimer's Disease Detection.
19. Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG.
20. Automatic knot adjustment for b-spline smoothing approximation using improved clustering algorithm.
21. Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features.
22. Using intelligent system for medical decision-making to magnetic resonance imaging.
23. Optimal Knots Allocation in Smoothing Splines using intelligent system. Application in bio-medical signal processing. .
24. Evaluating Multiple Sequence Alignments Using a LS-SVM Approach with a Heterogeneous Set of Biological Features.
25. Comparison of different computational intelligent classifier to autonomously detect cardiac pathologies diagnosed by ECG.
26. Advanced systems in medical decision-making using intelligent computing. Application to magnetic resonance imaging.
27. Advanced system for automously classify brain MRI in neurodegenerative disease.
28. Statistical analysis of different artificial intelligent techniques applied to Intrusion Detection System.
29. Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA.
30. Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost.
31. Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach.
32. Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2.
33. Applications in Bio-informatics and Biomedical Engineering.
34. A New Adaptive and Self Organizing Fuzzy Policy to Enhance the Real Time Control Performance.
35. A Genetic Programming Approach for Classification of the Spontaneous Termination of Atrial Fibrillation.
36. Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation.
37. Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.
38. TaSe Model for Long Term Time Series Forecasting.
39. A Possibilistic Approach to RBFN Centers Initialization.
40. Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network.
41. Assessing the Performance of Several Fitness Functions in a Genetic Algorithm for Nonlinear Separation of Sources.
42. Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.
43. MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
44. The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
45. MultiGrid-Based Fuzzy Systems for Function Approximation.
46. Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning.
47. Sequential Learning Algorithm of Neural Networks Systems for Time Series.
48. Analysis of the Functional Block and Operator Involved in Fuzzy System Design.
49. The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction.
50. Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process.
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