Lorena Guachi-Guachi
Orcid: 0000-0002-8951-8150
According to our database1,
Lorena Guachi-Guachi
authored at least 22 papers
between 2014 and 2024.
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Bibliography
2024
Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction.
SN Comput. Sci., January, 2024
Kernelized Extension for Multiple-Expert-Learning Classifiers Using Support Vector Machines.
Proceedings of the Intelligent Computing, 2024
Instance Selection Framework for Alzheimer's Disease Classification Using Multiple Regions of Interest and Atlas Integration.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024
2023
Convolutional neural networks applied to microtomy: Identifying the trimming-end cutting routine on paraffin-embedded tissue blocks.
Eng. Appl. Artif. Intell., November, 2023
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023
Exploring the Potential of Genetic Algorithms for Optimizing Academic Schedules at the School of Mechatronic Engineering: Preliminary Results.
Proceedings of the Applied Informatics - 6th International Conference, 2023
2022
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022
Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches.
Proceedings of the Applied Informatics: 5th International Conference, 2022
Proceedings of the Applied Informatics: 5th International Conference, 2022
2021
Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms.
IEEE Access, 2021
Proceedings of the Applied Informatics - Fourth International Conference, 2021
The Impact of Histogram Equalization and Color Mapping on ResNet-34's Overall Performance for COVID-19 Detection.
Proceedings of the DSDE '21: 2021 4th International Conference on Data Storage and Data Engineering, 2021
2020
Finite element analysis in colorectal surgery: non-linear effects induced by material model and geometry.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020
Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Convolutional Neural Networks for Automatic Classification of Diseased Leaves: The Impact of Dataset Size and Fine-Tuning.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Comparative Study of Distance Measures for the Fuzzy C-means and K-means Non-Supervised Methods Applied to Image Segmentation.
Proceedings of the Joint Proceedings of WAAI 2020, 2020
2019
J. Real Time Image Process., 2019
Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Artificial Neural Networks in Mathematical Mini-Games for Automatic Students' Learning Styles Identification: A First Approach.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019
2014
A novel background subtraction method based on color invariants and grayscale levels.
Proceedings of the International Carnahan Conference on Security Technology, 2014