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, Identification of potential areas for reforestation applying the analytic hierarchy process (AHP), case study from the valley of Aguascalientes, Mexico(Informa UK Limited, 2025-08-11); ; ; - 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. - 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); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Historical Review of the Technology Used for the Study of Freshness in Red Meats(Institute of Electrical and Electronics Engineers (IEEE), 2025); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Generation of Hyperspectral Indices for Non-Invasive Crop Property Analysis Through Genetic Programming(IEEE, 2024-12-04) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimización del balanceo de un mecanismo plano mediante redistribución de masas(2022); ; ; 9 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A comparative analysis of finite element programs for their implementation in a graphic tool of insulated power cables(2017); Scopus© Citations 1 21 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Selecting crackling product based on sensory analysis by different statistical data approaches(2017); 11 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Gradient Descent-Based Optimization Method of a Four-Bar Mechanism Using Fully Cartesian Coordinates(2019); ; ; <jats:p>Machine vibrations often occur due to dynamic unbalance inducing wear, fatigue, and noise that limit the potential of many machines. Dynamic balancing is a main concern in mechanism and machine theory as it allows designers to limit the transmission of vibrations to the frames and base of machines. This work introduces a novel method for representing a four-bar mechanism with the use of Fully Cartesian coordinates and a simple definition of the shaking force (ShF) and the shaking moment (ShM) equations. A simplified version of Projected Gradient Descent is used to minimize the ShF and ShM functions with the aim of balancing the system. The multi-objective optimization problem was solved using a linear combination of the objectives. A comprehensive analysis of the partial derivatives, volumes, and relations between area and thickness of the counterweights is used to define whether the allowed optimization boundaries should be changed in case the mechanical conditions of the mechanism permit it. A comparison between Pareto fronts is used to determine the impact that each counterweight has on the mechanism’s balancing. In this way, it is possible to determine which counterweights can be eliminated according to the importance of the static balance (ShF), dynamic balance (ShM), or both. The results of this methodology when using three counterweights reduces the ShF and ShM by 99.70% and 28.69%, respectively when importance is given to the static balancing and by 83.99% and 8.47%, respectively, when importance is focused on dynamic balancing. Even when further reducing the number of counterweights, the ShF and ShM can be decreased satisfactorily.</jats:p>Scopus© Citations 11 14 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Images dataset of beef meat samples with different shelf life(2023); ; ; 11 1