Cogent Economics & FinanceThis study investigates financial bubbles in the Indian stock market using the NIFTY 50 index and macroeconomic indicators. Employing the Backward Sup Augmented Dickey–Fuller test, we identified significant bubble occurrences in 2011, 2014, 2016, 2018 ...
Srishty, Muhammed Navas T
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ADASYN Oversampling and SGB Ensemble Algorithm for Migraine Classification
Iraqi Journal of ScienceA migraine is a neurological disorder that causes severe headaches. Although it is not life-threatening, it greatly affects people's lives. Migraine classification is considered a complicated research area. Early detection and accurate classification help in determining the appropriate care, speeding recovery from the disease, and avoiding its effects.
openaire +1 more source
Handling Imbalanced Data dalam Prediksi Churn Menggunakan Algoritma ADASYN dan Algoritma Propagasi Balik Jaringan Syaraf Tiruan [PDF]
, 2017 Aset yang paling berharga yang dimiliki oleh sebuah perusahaan telekomunikasi adalah pelanggan. Karenanya sebuah perusahaan Telekomunikasi akan selalu berupaya dalam mempertahankan aset mereka dengan memberikan layanan yang memuaskan.
ALDO LIONEL SAONARD
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APPLICATION OF K-NEAREST NEIGHBOUR, RECURSIVE ELIMINATION AND ADASYN ALGORITHMS ON DERMATITIS DISEASE CLASSIFICATION DATA [PDF]
Dermatitis is a common type of non-infectious skin disease frequently found in Indonesia. Its prevalence is influenced by several factors such as poor hygiene, environmental conditions, and climate change.
Ramadhani, Daib Jidan +2 more
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Çalışan yıpranmasını tahmin etmede analitik bir yaklaşım: Topluluk öğrenme yöntemi
Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi DergisiŞirketler, profesyonel çalışanlarının ayrılmasını engelleyerek işe alım ve eğitim maliyetlerini azaltmak için çeşitli önlemler ararlar. Belirli bir çalışanın ayrılıp ayrılmayacağını önceden tahmin etmek, şirketin bu tür kayıpları minimize etmek için ...
Mustafa Yurtsever
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Comprehensive Analysis of Random Forest and XGBoost Performance with SMOTE, ADASYN, and GNUS Under Varying Imbalance Levels [PDF]
This study examines the efficacy of Random Forest and XGBoost classifiers in conjunction with three upsampling techniques—SMOTE, ADASYN, and Gaussian noise upsampling (GNUS)—across datasets with varying class imbalance levels, ranging from ...
Ali Beikmohammadi +2 more
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Applied SciencesFirewall packet classification is a critical component of network security, demanding precise and reliable methods to ensure optimal functionality. This study introduces an advanced approach that combines Artificial Neural Networks (ANNs) with various ...
Adem Korkmaz +4 more
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A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data
ChildrenBackground/Objective: It is difficult to predict perinatal brain injury, and performing brain magnetic resonance imaging (MRI) based on suspected injury remains a clinical challenge.
Ga Won Jeon +3 more
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A Comparative Performance of SMOTE, ADASYN and Random Oversampling in Machine Learning Models on Prostate Cancer Dataset [PDF]
Class imbalance in medical datasets, including prostate cancer, can affect the performance of machine learning models in detecting minority cases. This study compares three oversampling techniques - SMOTE, ADASYN, and Random Oversampling - to address ...
Putra, Aditya Herdiansyah, Salam, Abu
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Utilizing machine learning ensembles for effective electricity theft detection
Energy Exploration & ExploitationElectricity theft presents significant challenges globally, with traditional detection methods often lagging behind sophisticated techniques. A misuse of authority can have several detrimental effects.
Sheikh Muhammad Saqib +6 more
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