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Software Defect Prediction: A Machine Learning Approach with Voting Ensemble
OtherAbstract: In software development, defects are an inevitable part of the process. They can occur at any stage,Palabras claves:Binary classification, ensemble, Software defect predictionAutores:Marcela Mosquera, Remigio Hurtado OrtizFuentes:scopusA Multi-phase Method for Computer-Aided Diagnosis in Chest X-Rays Using Convolutional Neural Networks Transfer Learning and Multi-label Classification
OtherAbstract: Recent advancements in deep learning have enabled the development of convolutional neural network (CPalabras claves:CHEST X-RAYS, Computer Aided Diagnosis, convolutional neural networks, Deep learning, Pathology Detection, Vindr-CXRAutores:Pablo Salamea, Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:scopusDeveloping a Robust Method for Diabetes Prediction with Machine Learning and Ensemble Models
OtherAbstract: This paper addresses the problem of identifying risk factors associated with diabetes using advancedPalabras claves:Data preprocessing, Diabetes detection, ensemble learning, Exploratory data analysis (EDA), Machine Learning, Model performance evaluationAutores:Patricio Sizalima, Paul S. Espinoza, Remigio Hurtado Ortiz, Rodolfo Bojorque-ChasiFuentes:scopusA New Architecture for Diabetes Prediction Using Data Mining, Deep Learning, and Ensemble Algorithms
OtherAbstract: It is a big challenge to diagnose diabetes in an early stage. This causes a health problem because iPalabras claves:Adaboost, artificial neural networks, Data preprocessing, data science, DIABÉTES, Predictive analysis, random forestAutores:Adolfo Jara-Gavilanes, Remigio Hurtado Ortiz, Romel Ávila-FaicánFuentes:scopusEnhancing Lung Cancer Type Prediction with a Novel Hybrid Approach: Transfer Learning, SVM, and Model Stacking
OtherAbstract: In this paper, we propose a novel hybrid model for the prediction of multiclass lung cancer, an ailmPalabras claves:Cancer detection, Classification, Convolutional neural network (CNN), Lung PET Images, Machine Learning, morphological operations, Multi-class Classifier, preprocessing, support vector machine (SVM)Autores:Adrian Lopez, Remigio Hurtado OrtizFuentes:scopusA New Method for Predicting the Importance of Scientific Articles on Topics of Interest Using Natural Language Processing and Recurrent Neural Networks
OtherAbstract: The realization of the state of the art presents significant challenges for researchers, as it involPalabras claves:Machine Learning, Natural language processing (NLP), preprocessing, Recurrent neural networks (RNN), Scientific text analysis, Search optimizationAutores:Adrian Lopez, David Dutan, Remigio Hurtado OrtizFuentes:scopusA New Method and Case Study for Predicting Tutoring Performance in Students at the Universidad Politécnica Salesiana using Data Science and Support Vector Machines
OtherAbstract: What has become evident over time in higher education is the low performance of students, especiallyPalabras claves:Academic Tutoring, Data Analysis, Machine Learning, Student orientation, SUPPORT VECTOR MACHINESAutores:Adrián Cabrera-Bermeo, Miguel Angel Samaniego, Remigio Hurtado OrtizFuentes:scopusA Structured Approach to Software Defect Classification and Explanation: Random Forest and Gradient Boosting Ensembles with a Focus on Prediction Interpretability
OtherAbstract: Software defect prediction is crucial for reducing costs and improving quality. According to a CuttePalabras claves:Class balancing, Evaluation metrics, Machine Learning Models, Random forest and gradient boosting, Software defect predictionAutores:Andy Abad, Erick Verdugo, Remigio Hurtado OrtizFuentes:scopusAlzheimer Diagnosis Through Advanced Deep Learning Architectures and Interpretative Analysis of Predictions
OtherAbstract: Dementia, a critical global health challenge recognized by the World Health Organization (WHO), affePalabras claves:ALZHÉIMER, Deep learning, DEMENCIA, image classification, Transfer learning, Vgg-16Autores:Anthony Moya, Jorge Lituma, Remigio Hurtado OrtizFuentes:scopusA Categorical Transformer with a Data Science Approach for Recommendation Systems Based on Collaborative Filtering
OtherAbstract: Recommender systems help predict what customers might like, such as movies, restaurants, or productsPalabras claves:Categorical transformer, COLLABORATIVE FILTERING, data science, Data transformation, Machine Learning, recommender systemsAutores:Arantxa Muñoz, Remigio Hurtado OrtizFuentes:scopus