Results 121 to 130 of about 23,350 (290)

Theoretical Convergence of SMOTE-Generated Samples

CoRR
Imbalanced data affects a wide range of machine learning applications, from healthcare to network security. As SMOTE is one of the most popular approaches to addressing this issue, it is imperative to validate it not only empirically but also theoretically.
Firuz Kamalov, Hana Sulieman, Witold Pedrycz   +2 more
openaire   +2 more sources

PREDICTION OF HAJJ PILGRIMS' HEALTH RISK USING K-NN, DECISION TREE, CROSS VALIDATION, AND SMOTE

Techno Nusa Mandiri: Journal of Computing and Information Technology
The background of this study is predicting the health risk levels of hajj pilgrims, which is a significant challenge in improving healthcare services during the pilgrimage.
Widi Astuti, Fajar Sarasati
doaj   +1 more source

SMOTE-ENN resampling technique with Bayesian optimization for multi-class classification of dry bean varieties

SMOTE-ENN resampling technique with Bayesian optimization for multi-class classification of dry bean ...
Houshyar Asadi (13073715), A Mohajerzadeh (21657650), LE Ali (21657653), NJ Sathi (15801728), BM Jewel Rana (21657647), A Mukherjee (6734561), MRC Qazani (14449689), S Akter (721769), MS Khan (13912164)   +8 more
core  

Late Holocene environmental history of Dojran, Macedonia: Investigating the interplay of imperial dynamics and climatic change

Journal of Quaternary Science, EarlyView.
ABSTRACT This study presents a high‐resolution, multi‐proxy reconstruction of environmental and land‐use change from Lake Dojran over historical times (last 2500 years), combining pollen, biomarkers, radiocarbon dating, Ottoman taxation records and other historical data.
Alessia Masi, Lucrezia Masci, Georgios C. Liakopoulos, Monica Bini, Alexander Francke, Ilaria Isola, Carlo Ricotta, Laura Sadori, Alexander Sarantis, Sławomir Sprawski, Jakub Sypiański, Irene Tunno, Cristiano Vignola, Bernd Wagner, Giovanni Zanchetta, Adam Izdebski   +15 more
wiley   +1 more source

High‐Fidelity Synthetic Raman Spectra Generation for Sinter Basicity Prediction Using β$$ \beta $$‐Variational Autoencoders

Journal of Raman Spectroscopy, EarlyView.
A β$$ \beta $$‐variational autoencoder with β$$ \beta $$ = 0.1 generates high‐fidelity synthetic Raman spectra of industrial sinter with a 16‐fold improvement in spectral fidelity over SMOTE‐based augmentation (KL divergence: 0.0075 vs. 0.121), enabling reliable basicity prediction (R2 = 0.83) from limited labeled datasets.
Marjorie Ariele Pereira, Daniel Cruz Cavalieri, Adilson Ribeiro Prado, Cassius Zanetti Resende, Erica Simões Rodrigues   +4 more
wiley   +1 more source

Sentiment Analysis Mobile JKN Reviews Using SMOTE Based LSTM

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
The JKN Mobile application plays an important role in providing easy and fast access to health services for JKN-KIS users. However, user reviews indicate dissatisfaction with several aspects of the application, such as login issues and OTP codes, which ...
Ghufron Tamami, Wiwit Agus Triyanto, Syafiul Muzid   +2 more
doaj   +1 more source

Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction

Journal of Raman Spectroscopy, EarlyView.
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho, Daniel Cruz Cavalieri, Adilson Ribeiro Prado   +2 more
wiley   +1 more source

Evaluating the performance of different machine learning algorithms based on SMOTE in predicting musculoskeletal disorders in elementary school students

BMC Medical Research Methodology
Background Musculoskeletal disorders (MSDs) are a major health concern for children. Traditional assessment methods, which are based on subjective assessments, may be inaccurate.
Sara Manoochehri, Maryam Zamani, Maryam Afshari, Ali Reza Soltanian, Zohreh Manoochehri   +4 more
doaj   +1 more source

SMOTE-SVM for Handling Imbalanced Data in Obesity Classification

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Obesity is a significant health issue associated with various chronic diseases, making its early classification critical for effective interventions.
Muhammad Kunta Biddinika, Herman Yuliansyah, Dewi Soyusiawaty, Farhan Radhiansyah Razak   +3 more
doaj   +1 more source

A comparative study on SMOTE, CTGAN, and hybrid SMOTE-CTGAN for medical data augmentation

Science in Information Technology Letters
The imbalance of clinical datasets remains a challenge in medical data mining, often resulting in models biased toward majority outcomes and reduced sensitivity to rare but clinically critical cases. This study presents a comparative evaluation of three augmentation strategies—Synthetic Minority Oversampling Technique (SMOTE), Conditional Tabular GAN ...
Ninda Khoirunnisa, Miftahurrahma Rosyda
openaire   +1 more source