Results 51 to 60 of about 23,350 (290)

Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa

Jambura Journal of Mathematics
The issue of delayed graduation is often encountered in various universities, including in the Statistics Study Program at Universitas Negeri Gorontalo, for graduates between 2018 and 2023. Among them, 162 students (76.5%) experienced delayed graduation,
Umar D. Akor, Muhammad Rezky Fiesta Payu, La Ode Nashar   +2 more
doaj   +1 more source

FADA-SMOTE-Ms: Fuzzy Adaptative Smote-Based Methods

IEEE Access
The Synthetic Minority Over-Sampling Technique (SMOTE) is one of the most well-known methods to solve the unequal class distribution problem in imbalanced datasets. However, it has three shortcomings: (1) it may cause the over-generalization problem due to oversampling of noisy samples, (2) over-sampling of uninformative samples, and (3) increasing the
Roudani Mohammed, Karim El Moutaouakil
openaire   +3 more sources

HCAB-SMOTE: A Hybrid Clustered Affinitive Borderline SMOTE Approach for Imbalanced Data Binary Classification

, 2020
Binary datasets are considered imbalanced when one of their two classes has less than 40% of the total number of the data instances (i.e., minority class).
Ulukok, Mehtap Kose, Elgedawy, Islam, Al Majzoub, Hisham, Akaydin, Oyku   +3 more
core   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Optimizing Random Forest Parameters with Hyperparameter Tuning for Classifying School-Age KIP Eligibility in West Java

Jambura Journal of Mathematics
Random Forest is an ensemble learning algorithm that combines multiple decision trees to generate a more stable and accurate classification model. This study aims to optimize Random Forest parameters for classifying school-age students' eligibility for ...
Silfiana Lis Setyowati, Asyifah Qalbi, Rafika Aristawidya, Bagus Sartono, Aulia Rizki Firdawanti   +4 more
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Enhancing Accuracy by Using Boosting and Stacking Techniques on the Random Forest Algorithm on Data from Social Media X

Ilkom Jurnal Ilmiah
Online loans (commonly referred to as Pinjol) have become a widespread phenomenon in Indonesia, both in legal and illegal forms. It is undeniable that this is in line with the rapid development and innovation of technology.
Teri Ade Putra, Vicky Ariandi, Sarjon Defit   +2 more
doaj   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Handling imbalanced samples in landslide susceptibility evaluation

Shuiwen dizhi gongcheng dizhi
In landslide susceptibility assessment, different approaches to handling sample imbalance can introduce significant uncertainty in evaluation outcomes.
You TIAN, Bo GAO, Hong YIN, Yuanling LI, Jiajia ZHANG, Long CHEN, Hongliang LI   +6 more
doaj   +1 more source

L‐Cysteine and N‐Acetylcysteine Supplementation Improves Clinical Outcome in a Patient With COXPD10

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT MTO1 is a nuclear gene that encodes a mitochondrial protein essential for modifying mitochondrial transfer RNAs (tRNAs) and stabilizing codon‐anticodon interactions to ensure accurate and efficient mitochondrial protein synthesis and oxidative phosphorylation.
Nishitha R. Pillai, Sara A. Elsbecker, Grace Bronken McCarthy, Kaitlin Weisshappel, Peter Karachunski, Fernando Scaglia   +5 more
wiley   +1 more source