Results 41 to 50 of about 3,838 (180)

Komparasi Metode SMOTE dan ADASYN dalam Meningkatkan Performa Klasifikasi Herregistrasi Mahasiswa Baru

Jurnal Teknik Informatika dan Sistem Informasi, 2022
Universities annually accept new students at the beginning of the new school year. In the acceptance of prospective students on the Seleksi Prestasi Akademik Nasional Perguruan Tinggi Keagamaan Islam Negeri (SPAN PTKIN) di State Islamic University Of Sunan Ampel Surabaya, many prospective students who do not register will have an impact on income of ...
Risky Agung Nurdian, null Mujib Ridwan, null Ahmad Yusuf   +2 more
openaire   +1 more source

Predicting Prolonged Hospital Length of Stay in Trauma Patients Using Machine Learning Techniques: A Cross‐Sectional Study

Health Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background and Aim Hospitalization due to trauma places a significant financial burden on healthcare systems, patients, and insurers. Predicting the length of stay can support resource management and workflow, ultimately enhancing healthcare interventions.
Maasoumeh Maghsoudi, Azadeh Bashiri, Vahid Rahmanian, Somayyeh Zakerabasali   +3 more
wiley   +1 more source

The Impact of Extreme Data Imbalance on Evaluation Metrics of Deep Learning Models for Loan Default Prediction

Emitor: Jurnal Teknik Elektro
The growth of financial technology has made online loans more accessible, but it has also increased the risk of borrowers failing to repay. Developing a reliable system to predict loan defaults is therefore very important.
Irfan Budiyanto, Arief Hermawan, Donny Avianto, Muhammad Kusban   +3 more
doaj   +1 more source

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model

Scientific Reports, 2022
Blood cancer has been a growing concern during the last decade and requires early diagnosis to start proper treatment. The diagnosis process is costly and time-consuming involving medical experts and several tests. Thus, an automatic diagnosis system for
Vaibhav Rupapara, Furqan Rustam, Wajdi Aljedaani, Hina Fatima Shahzad, Ernesto Lee, Imran Ashraf   +5 more
doaj   +1 more source

A GIS‐Integrated Active Learning Framework for Crash Severity Classification in Imbalanced Traffic Data

Transactions in GIS, Volume 30, Issue 2, April 2026.
ABSTRACT Classifying urban traffic crash severity remains challenging because severe incidents are underrepresented in highly imbalanced datasets. This challenge is further intensified by spatiotemporal shifts in data distributions, which can degrade model performance over time.
Reza Mohammadi, Mohammad Taleai
wiley   +1 more source

Integration of Adasyn Method with Decision Tree Algorithm in Handling Imbalance Class for Loan Status Prediction

Jurnal Riset Informatika
Determining the provision of credit is generally carried out based on measuring credibility using credit analysis principles (5C principles). However, this method requires quite a long processing time and is very susceptible to subjective judgments which
Ami Rahmawati, Ita Yulianti, Tati Mardiana, Denny Pribadi   +3 more
doaj   +1 more source

Profiling Social Entrepreneurship Orientation Through Machine Learning Predictive Modeling

Corporate Social Responsibility and Environmental Management, Volume 33, Issue 2, Page 2601-2615, March 2026.
ABSTRACT This study examines the prediction of Social Entrepreneurship Orientation (SEO) in youth using machine learning techniques to generate a robust predictive model. Drawing on a large cross‐country survey of European youth, results indicate that cognitive–attitudinal indicators—such as concern for environmental goals, purpose‐driven motivation ...
Ángel Peiró‐Signes, Colin Donaldson, Marival Segarra‐Oña   +2 more
wiley   +1 more source

Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification

, 2020
Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic data. We introduce a novel GAN with Autoencoder (GAN-AE) architecture to generate synthetic samples for variable length, multi-feature ...
Ger, Stephanie, Klabjan, Diego
core  

Algorithmic Bias in BERT for Response Accuracy Prediction: A Case Study for Investigating Population Validity

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Pretrained large language models (LLMs) have gained popularity in recent years due to their high performance in various educational tasks such as learner modeling, automated scoring, automatic item generation, and prediction. Nevertheless, LLMs are black box approaches where models are less interpretable, and they may carry human biases and ...
Guher Gorgun, Seyma N. Yildirim‐Erbasli   +1 more
wiley   +1 more source

Impact of Data Balancing and Feature Engineering on Accident Severity Models

Promet (Zagreb)
This study investigates the impacts of feature engineering techniques, including Clustering, Target Encoding and Anomaly Detection, in conjunction with data balancing methods, on the efficacy of machine learning models for predicting road accident ...
Fayez ALANAZI, Aminu SULEIMAN
doaj   +1 more source