Results 71 to 80 of about 2,573 (145)

Performance comparisons between SOS and ROS, SMOTE, and ADASYN for ATP168 and ATP227 over five-fold cross-validation under MaxMCC Evaluation.

, 2014
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), Xi-Bei Yang (630660), Hong-Bin Shen (195200), Xue He (619384), Jun Hu (5721), Jing-Yu Yang (316333)   +5 more
core   +1 more source

Çalışan yıpranmasını tahmin etmede analitik bir yaklaşım: Topluluk öğrenme yöntemi

Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Şirketler, 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
doaj   +1 more source

Utilizing machine learning ensembles for effective electricity theft detection

Energy Exploration & Exploitation
Electricity 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, Tehseen Mazhar, Muhammad Iqbal, Ahmad Almogren, Yazeed Yasin Ghadi, Tariq Shahzad, Habib Hamam   +6 more
doaj   +1 more source

Penentuan Kelayakan Debitur Menggunakan Metode Decision Tree C4.5 dan ADASYN

, 2020
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, Dr. Eng.Fitra Abdurrachman Bachtiar, S.T., M.T.   +1 more
core  

Machine Learning-Based Pitting Rate Classification and Prediction for 316L Stainless Steel in NaClO₃ and NaCl Environment. [PDF]

Materials (Basel)
Zhang C, Yao J, Zhang Z.
europepmc   +1 more source

An LLM-based synthetic data generation approach for addressing class imbalance in malicious traffic detection. [PDF]

Sci Rep
Przystupa K, Majka M, Lutsiuk A, Lavriv O, Beshley M, Kahalo I.   +5 more
europepmc   +1 more source

A synthetic oversampling-based customized ResNet51-Conv1D framework for early colorectal cancer prediction using structured clinical data from the PLCO screening trial. [PDF]

BMC Med Inform Decis Mak
Prasath ST, Asha MM, Nagarajan B, Yesuraj R, Prathapchandran K, Sreeraman Y.   +5 more
europepmc   +1 more source

LiRPE 1.0: a modified linformer with relational positional encoding for network intrusion detection. [PDF]

Sci Rep
Biswal U, Mishra S, Mahapatra S.
europepmc   +1 more source

Explainable Ensemble Learning for Robust Severity Stratification of Carpal Tunnel Syndrome from Clinical Data. [PDF]

Diagnostics (Basel)
Sahin ME, Ulutas H, Korkmaz M, Ozbay Karakus M, Er O, Unluel H.   +5 more
europepmc   +1 more source

Supervised machine learning algorithms for classifications of gender-based violence in Somalia: a comparison of oversampling techniques. [PDF]

Sci Rep
Yilema SA, Belay DB, Ali MI, Birhan NA, Rad NN, Chen DG.   +5 more
europepmc   +1 more source