Sánchez-Gómez, Claudia
Main Affiliation
Preferred name
Sánchez-Gómez, Claudia
Official Name
Sánchez Gómez, Claudia Nallely
ORCID
0000-0001-6316-5214
Researcher ID
DTU-3417-2022
Scopus Author ID
57201851558
35 results
Now showing 1 - 10 of 35
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Item type:Publication, Generation of Hyperspectral Indices for Non-Invasive Crop Property Analysis Through Genetic Programming(IEEE, 2024-12-04) ;Ana Illanes ;Lizbeth Rodríguez-Rolón ;Stephanie Esquivel ;Luis Fernando RiveraIoshua Peña27 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Investment Portfolio Optimization Using Technical Indicators and White-Box ModelsQuantitative trading has revolutionized in recent years with the integration of machine learning. However, most proposals are complex models that often need help with model understanding and feature importance identification. This study presents a methodology for optimizing investment portfolios using the XGBoost algorithm and a comprehensive set of technical indicators. The primary objective is to maximize returns by accurately predicting stock prices and selecting the most profitable stocks. Our proposal is based on decision trees, eliminating the need for recurrent neural networks or time series representations of data and enabling white-box machine learning models that are easier to interpret. We tried our proposal with real data corresponding to a collection of stocks of the 500 most influential companies in the United States of America, utilizing historical data such as open prices, highest and lowest prices, and trading volume. Experimental results demonstrated that our approach successfully identified the most profitable stocks, outperforming random portfolios and showing significant profit accumulation over time. This approach recognizes the most feasible indicators and facilitates the automatic design of investment portfolios and the analysis of the importance of technical indicators in complex data.23 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance Comparison of Multi-Objective Optimizers for Dynamic Balancing of Six-Bar Watt Linkages Using a Fully Cartesian Model(MDPI AG, 2025-07-04); ; ;Robles Jiménez Luis EduardoSara Carolina Gómez-Delgado<jats:p>Balancing mechanisms require the minimization of both the Shaking Moment (ShM) and Shaking Force (ShF), a complex multi-criteria challenge often tackled using single-objective algorithms. However, these methods face difficulties in navigating competing objectives. In contrast, multi-objective algorithms provide a more efficient and adaptable framework, while Fully Cartesian Coordinates (FCC) simplify the balancing equations compared to conventional Cartesian formulations. This study focuses on optimizing the dynamic balance of a six-bar Watt linkage using FCC. A wide set of optimization methods is analyzed and compared, and among them, the S-Metric Selection Evolutionary Multi-objective Optimization Algorithm (SMS-EMOA) demonstrates superior performance. This algorithm achieves the most significant hypervolume value in only 10.44 min of execution. The results indicate that multi-objective algorithms outperform single-objective approaches, offering faster and more diverse optimization solutions. Additionally, this study introduces an analytical method that enables the straightforward identification of removable counterweights, achieving an equally effective balance while minimizing the number of counterweights required.</jats:p>9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 2 15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Physicochemical and Sensory Characteristics of Sausages Made with Grasshopper (Sphenarium purpurascens) Flour(2022) ;Salvador O. Cruz-López ;Yenizey M. Álvarez-Cisneros; ;Héctor B. Escalona-Buendía<jats:p>Insects are currently of interest due to their high nutritional value, in particular for the high concentration of quality protein. Moreover, it can also be used as an extender or binder in meat products. The objective was to evaluate grasshopper flour (GF) as a partial or total replacement for potato starch to increase the protein content of sausages and achieve good acceptability by consumers. GF has 48% moisture, 6.7% fat and 45% total protein. Sausages were analyzed by NIR and formulations with GF in all concentrations (10, 7, 5 and 3%) combined with starch (3, 5 and 7%) increased protein content. Results obtained for the sausages formulations with grasshoppers showed an increase in hardness, springiness, gumminess and chewiness through a Texture-Profile-Analysis. Moreover, a* and b* are similar to the control, but L* decreased. The check-all-that-apply test showed the attributes highlighted for sausages with GF possessed herbal flavor, brown color, and granular texture. The liking-product-landscape map showed that the incorporation of 7 and 10% of GF had an overall liking of 3.2 and 3.3, respectively, considered as “do not like much”. GF can be used as a binder in meat products up to 10% substitution. However, it is important to improve the overall liking of the sausage.</jats:p>1 5Scopus© Citations 49 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 1 13Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimización del balanceo de un mecanismo plano mediante redistribución de masas(2022); ; ; ;Juan Cisneros-BarbaMiguel Carrasco2 21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Images dataset of beef meat samples with different shelf life(2023); ; ; ;MaximilianoEsteban García1 18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, I3GO+ at RICATIM 2017: A semi-supervised approach to determine the relevance between images and text-annotations(2017) ;Jose Ortiz-Bejar ;Eric S. Tellez ;Mario Graff ;Sabino Miranda-JimenezDaniela Moctezuma1 6Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 2 21
