Cecilia-Irene Loeza-MejíaTecnológico Nacional de Mexico - campus Misantla
Cecilia-Irene Loeza-Mejía
PhD Candidate
𝐁𝐄𝐧𝐠, 𝐌𝐒𝐜, 𝐏𝐡𝐃 𝐜𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞
Website: cecilialoeza.com
Interests:
•Machine Learning
•Knowledge Discovery
About
18
Publications
26,133
Reads
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44
Citations
Introduction
General interest in Machine Learning techniques.
Formation:
Ph. D. student in Engineering Sciences.
Master in Computer Systems.
Master in Computer Science and Telecommunications.
Information and Communication Technology Engineering.
Visit my website: https://cecilialoeza.com/
#CeciliaLoezaOficial #CLoezaOficial
Additional affiliations
July 2017 - January 2018
Volkswagen de México
Position
- National practitioner
Description
- •Data classification and analysis •Lastenheft review (requirements notebook) •Create Data Warehouse migration use cases
Education
July 2018 - November 2019
August 2013 - January 2018
Tecnológico Nacional de México campus Misantla
Field of study
- Information and Communication Technologies
Publications
Publications (18)
The diagnosis of pulmonary nodules plays an important role in the treatment of lung cancer, thus improving the diagnosis is the primary concern. This article shows a comparison of the results in the identification of computed tomography scans with pulmonary nodules, through the use of different optimizers (Adam and Nadam); the effect of the use of...
In recent times, computational studies have emerged as a viable alternative for complementing the efforts of experienced radiologists in disease diagnosis. Computed tomography (CT) studies are a common way of predicting the lung nodule malignancy for the early diagnosis and treatment of lung cancer in patients. Early detection of the type of nodule...
The COVID-19 pandemic has generated the need to evolve health services to reduce the risk of contagion and promote a collaborative environment even remotely. Advances in Industry 4.0, including the internet of things, mobile networks, cloud computing, and artificial intelligence make Health 4.0 possible to connect patients with healthcare professio...
Biomedical image segmentation is an important process in computer-aided diagnostic systems. Segmentation allows an image to be divided and tagged into anatomical sub-regions such as bones, muscles, blood vessels, and various pathological structures, facilitating image analysis and detecting various diseases. However, it is challenging due to the di...
Neurodegenerative diseases affect a large part of the population in the world and also in Mexico, deteriorating gradually the quality of patients’ life. Therefore, it is important to diagnose them with a high degree of reliability. In order to solve it, various computational methods have been applied in the analysis of biomarkers of human gait. In...
Objective
This study evaluates machine learning algorithms’ effectiveness in classifying Parkinson’s disease and Huntington’s disease based on biomarker data obtained non-invasively from patients and healthy controls.
Methods
Datasets containing biomarker data (x, y, and z values of accelerometers) from sensors were collected from Parkinson’s dise...
![Support vector machine [41, 105, 106].](publication/380598332/figure/fig1/AS:11431281252085599@1718503914199/Support-vector-machine-41-105-106_Q320.jpg)
![K-nearest neighbors [101, 108, 109]](publication/380598332/figure/fig2/AS:11431281252018770@1718503915241/K-nearest-neighbors-101-108-109_Q320.jpg)
![Multi-layer perceptron [102, 103, 111–113].](publication/380598332/figure/fig3/AS:11431281252011212@1718503916220/Multi-layer-perceptron-102-103-111-113_Q320.jpg)
![Convolutional neural network [28, 87, 99, 118].](publication/380598332/figure/fig4/AS:11431281252066027@1718503917112/Convolutional-neural-network-28-87-99-118_Q320.jpg)
![Recurrent neural network [119].](publication/380598332/figure/fig5/AS:11431281252027841@1718503918330/Recurrent-neural-network-119_Q320.jpg)
Ancient manuscripts store historical, literary, cultural, and geographical information. Therefore, the automatic analysis of manuscripts is of great interest in heritage culture and history preservation. Different approaches to handwriting recognition using images have been applied to analyze manuscripts. However, reliable handwriting recognition i...
Purpose: Vaginal infections are prevalent causes of gynecological consultations. This study introduces and evaluates the efficacy of four Machine Learning algorithms in detecting vaginitis cases in southern Mexico. Methods: Utilizing Simple Perceptron, Naïve Bayes, CART, and AdaBoost, we conducted classification experiments to identify four vaginit...
En México, el diagnóstico de patologías ginecológicas es de gran importancia, dado que las mujeres entre 20 a 45 años padecen infecciones vaginales al menos una vez en su vida [1]. Por lo que, el objetivo de este estudio fue identificar (o categorizar) casos clínicos de los siguientes tipos de vaginitis: gardnerella, candidiasis, tricomoniasis y ch...
The interest of this research referred to the possibility of detecting patterns to identify the best supplier in a citrus exporter under a classification model that would provide a high degree of confidence. This work aims to verify the validity of Automated Machine Learning (AutoML) employing automatic model selection and hyperparameter optimizati...
Facial expressions are always manifested by people. For the human being, it is easy to recognize emotions. Technological advances applied to the recognition of expressions are growing rapidly and, in the same way, interest in research on this topic. However, at the computational level, it is a complicated task, some of the expressions of human bein...
Conventional aquaculture (ACUA-C) in Mexico is an activity that maintains an annual growth rate of 6%. Tilapia (Oreochromis niloticus) aquaculture is the predominant aquaculture in the country with 4623 farms, most of which operate with semi-intensive (SIS) and extensive (ES) production systems, discharging untreated wastewater that negatively impa...
Recientemente ha habido un progreso continuo en el análisis de tomografía
computarizada (TC) de tórax para ayudar en la detección y clasificación de nódulos
pulmonares debido a su relación con el cáncer de pulmón. Identificar el tipo de nódulo
es clave para determinar el tratamiento adecuado, lo cual permite aumentar la
supervivencia y reducir alte...
The evolution of biomedical imaging and computer systems has allowed continued progress in computer-aided diagnostic (CAD) systems. The integration of machine learning in CAD systems has shown a significant advance in diagnostic accuracy in various tasks such as organ segmentation, pathology detection, and classification. However, there is still a...
In recent years, the analysis and processing of biomedical images had considerable relevance, as it has proven to be an effective way of obtaining information regarding human body in a less invasive way and thus helps in extracting the characteristics that could potentially represent a disease. Different aspects of segmentation algorithms and featu...
Coffee production is one of the main sources of income mainly in developing countries, but this production can be reduced by the presence of diseases that could occur on coffee farms bringing with them, losses considerable in the local economy. Iron stain is known to be one of many causing diseases, and that making a diagnosis requires expert staff...
Los nódulos pulmonares son manchas o lesiones que se diagnostican en los pulmones y pueden tener tanto causas benignas como malignas, principalmente relacionadas con cáncer de pulmón. En México, de acuerdo con estadísticas, el cáncer de pulmón se ubica en el séptimo lugar y es el más letal. Diversas instituciones médicas internacionales trabajan pa...
Questions
Questions (33)
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Would you like to share your experience in machine learning projects? Support us to respond this survey:
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¿Te gustaría compartir tu experiencia en proyectos de machine learning? Apóyanos a responder esta encuesta:
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Hello everyone,
Could you recommend courses, papers, books or websites about algorithms that support missing values?
Thank you for your attention and valuable support.
Regards,
Cecilia-Irene Loeza-Mejía
Hello everyone,
Could you recommend courses, papers, books or websites about wav audio preprocessing?
Thank you for your attention and valuable support.
Regards,
Cecilia-Irene Loeza-Mejía
Hello everyone,
Could you recommend courses, papers, books or websites about theoretical machine learning?
Thank you for your attention and valuable support.
Regards,
Cecilia-Irene Loeza-Mejía
Hello everyone,
Could you recommend an alternative to IDC please to get records from the global datasphere for free?
Thank you for your attention and valuable support.
Regards,
Cecilia-Irene Loeza-Mejía
Would you like to share your experience in machine learning projects? Support us to respond this survey:
English version: https://forms.gle/YpGCcGDvBNVQnVLG6
Spanish version: https://forms.gle/KoYkf4dsfc9CewCEA
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📝 The data collected will be used for academic purposes.
💻Thank you for your valuable support!
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💻Thank you for your valuable support!
Hello everyone,
Could you recommend courses, papers, books or websites about mixed survey analysis methodologies?
Thank you for your attention and valuable support.
Regards,
Cecilia-Irene Loeza-Mejía
