Results 81 to 90 of about 2,231 (201)
We present a metaheuristic feature‐selection framework—Artificial Bee Colony, Aquila Optimiser and Fox Optimiser—for blockchain fraud detection, benchmarked across machine‐learning and deep‐learning models on large‐scale transaction data. The study evaluates predictive performance (PR‐AUC/ROC‐AUC), stability across seeds and parsimony under cost ...
Hibatou allah Boulsane, Karim Afdel
wiley +1 more source
Performance comparisons between SOS and ROS, SMOTE, and ADASYN for ATP168 and ATP227 over five-fold cross-validation under MaxMCC Evaluation. [PDF]
Performance comparisons between SOS and ROS, SMOTE, and ADASYN for ATP168 and ATP227 over five-fold cross-validation under MaxMCC Evaluation.
Dong-Jun Yu (630659) +5 more
core +1 more source
A Hybrid Approach for Malicious URL Detection Using Ensemble Models and Adaptive Synthetic Sampling
Malicious URLs pose a significant cybersecurity threat, often leading to phishing attacks, malware infections, and data breaches. Early detection of these URLs is crucial for preventing security vulnerabilities and mitigating potential losses.
Khaled Mahmud Sujon +5 more
doaj +1 more source
Tailored modifications to the classification head and fine‐tuning strategies to improve model robustness and performance. A comprehensive comparative study leveraging transfer learning techniques for multi‐class eye disease classification, evaluating efficacy in diagnosing cataract, diabetic retinopathy and glaucoma.
Souhardo Rahman +4 more
wiley +1 more source
Deteksi Transaksi Fraud Kartu Kredit Menggunakan Oversampling ADASYN dan Seleksi Fitur SVM-RFECV [PDF]
Perkembangan kejahatan transaksi fraud kartu kredit memberikan dampak kerugian finansial bagi pemegang kartu. Pengembangan model deteksi transaksi fraud menggunakan machine learning telah dilakukan, namun memiliki beberapa tantangan meliputi ...
Gunadi, I Gede Aris +2 more
core +2 more sources
Breast cancer is a major global health concern, highlighting the need for accurate and efficient diagnostic solutions rather than persistent issues with detection accuracy.
Hayder N. Jasim +2 more
doaj +1 more source
Churn Prediction Menggunakan ADASYN (Adaptive Synthetic Sampling Approach) dan Support vector Machine [PDF]
Churn prediction adalah suatu penelitian yang sedang ramai dibicarakan belakangan ini. Churn adalah kecenderungan pelanggan berpindah atau berpaling dari suatu perusahaan ke perusahaan lainya.
YUDI YAHYA
core
Privacy-Preserving Diabetes Prediction Using ADASYN And Machine Learning
Diabetes is a rapidly growing chronic disease that poses serious health risks, including heart disease, kidney failure, and vision impairment. Early and accurate prediction is essential for effective prevention and treatment. However, medical datasets often suffer from class imbalance, which reduces the performance of traditional machine learning ...
Sundaram M +3 more
openaire +3 more sources
The Effect of Resampling Techniques on Model Performance Classification of Maternal Health Risks
Indonesia's maternal mortality rate was the second highest in ASEAN, reflecting the problem of class imbalance in maternal health data. This research aimed to improve prediction accuracy in the classification of pregnant women's diseases through the ...
Nia Mauliza +4 more
doaj +1 more source
Penentuan Kelayakan Debitur Menggunakan Metode Decision Tree C4.5 dan ADASYN [PDF]
Kredit adalah kegiatan atau layanan yang tidak bisa lepas dari kehidupan pada era saat ini. Saat ini sudah banyak perusahaan di Indonesia yang menyediakan jasa kredit.
Dhitama, Farhan Setya +1 more
core

