Listar Artículos Científicos por materia "Machine learning"
Mostrando publicaciones 1-18 de 18
-
A deep learning approach to population structure inference in inbred lines of maize
(2020)Analysis of population genetic variation and structure is a common practice for genome-wide studies, including association mapping, ecology, and evolution studies in several crop species. In this study, machine learning ...
-
A hybrid algorithm of ML and XAI to prevent breast cancer: a strategy to support decision making
(2023)Worldwide, the coronavirus has intensified the management problems of health services, significantly harming patients. Some of the most affected processes have been cancer patients’ prevention, diagnosis, and treatment. ...
-
A new fast training algorithm for autoencoder neural networks based on extreme learning machine
(2022)Autoencoders are neural networks that are characterized by having the same inputs and outputs. This kind of Neural Networks aim to estimate a nonlinear transformation whose parameters allow to represent the input patterns ...
-
A novel strategy to classify chronic patients at risk: a hybrid machine learning approach
(2022)Various care processes have been affected by COVID-19. One of the most dramatic has been the care of chronic patients under medical supervision. According to the World Health Organization (WHO), a chronic patient has one ...
-
A novel traffic prediction method using machine learning for energy efficiency in service provider networks
(2023)This paper presents a systematic approach for solving complex prediction problems with a focus on energy efficiency. The approach involves using neural networks, specifically recurrent and sequential networks, as the main ...
-
Academic performance predicting model based on machine learning and keller's motivation measure
(2022)This article investigates a model for predicting the academic performance of university students using Machine Learning techniques based on the level of motivation achieved with the implementation of the ARCS instructional ...
-
Comparative lightweight scheme for individual identification through hand-vein patterns
(2024)Biometric characterization systems are generally used in safety-related applications because they allow the identification or verification of individuals based on human body traits. In recent years hand veins have become ...
-
Engineering students' perception of the use of machine learning in accounting learning
(2022)This article investigates the effects on motivation and learning of topics related to the accounting subject, with theimplementation of Machine Learning as a pedagogical tool in the context of university education. A ...
-
Examining the relationship between COVID-19 and suicide in media coverage through natural language processing analysis
(2024)Background and objectives Suicide is a major public health concern, media can influence its awareness, contagion, and prevention. In this study, we evaluated the relationship between the COVID-19 pandemic and suicide in ...
-
Exploring the potential of emerging technologies as pedagogical tools for engineering education
(2023)The utilization of emerging technologies in the field of education has evolved into a valuable resource for fostering pedagogical advancements. Hence, the primary aim of this article is to assess and compare various ...
-
Machine learning approach for predicting corporate social responsibility perception in university students
(2023)Corporate Social Responsibility has become an important corporate principle. Perception about the use of this concept is regarded by corporate stakeholders as strategically crucial. The present work explores the use of ...
-
Machine learning model for predicting primary school scores based on spatial, socio demographic and school–related information
(2024)Learning strategies at primary school level are important to ensure student progress. In this regards, the identification of those factors influencing students grades certainly help teachers in predicting outcomes as well ...
-
Machine learning-based classifiers to predict metastasis in colorectal cancer patients
(2024)Background: The increasing prevalence of colorectal cancer (CRC) in Iran over the past three decades has made it a key public health burden. This study aimed to predict metastasis in CRC patients using machine learning ...
-
Patients at high risk of suicide before and during a COVID-19 lockdown: ecological momentary assessment study
(2021)The coronavirus disease 2019 (COVID-19) outbreak may have affected the mental health of patients at high risk of suicide. In this study we explored the wish to die and other suicide risk factors using smartphone-based ...
-
Prediction of banana production using epidemiological parameters of black sigatoka: an application with random forest
(2022)Accurate predictions of crop production are critical to developing effective strategies at the farm level. Knowing banana production is due to the need to maximize the investment–profit ratio, and the availability of ...
-
Risk assessment tools and data-driven approaches for predicting and preventing suicidal behavior
(2019)Risk assessment of suicidal behavior is a time-consuming but notoriously inaccurate activity for mental health services globally. In the last 50 years a large number of tools have been designed for suicide risk assessment, ...
-
Strategy based on data mining and MALDI-Mass spectrometry for control disease of SRS in Salmo Salar
(2018)Piscirickettsia salmonis is a highly transmissible pathogens that cause high mortality in farmed salmonids. In this way, new techniques based on mass spectrometry (MS) and machine learning were applied and combined in an ...
-
X-MassFP: a platform with focus on pattern research for mass spectrometry fingerprint recognition
(2021)Pathogens are infectious microorganisms that lodge in a host and are responsible for causing diseases. In many cases, the detection of pathogens is expensive in resources and time. In this way, mass spectrometry is combined ...