'PromptQuest' is the worst game of 2025. You play it when trying to make chatbots work

"You enter a dark room. A Goblin pulls a rusty knife from its belt and prepares to attack!" was a typical moment in such ...
GitHub

Credit Risk Scoring & Loan Approval Prediction

A machine learning system for predicting loan default risk using XGBoost. The project includes synthetic data generation, preprocessing, SMOTE balancing, model training, evaluation, inference, and ...
Skiddle

Dark Matter presents Smote + Slow Knife + DJ Sie Norfolk

SMOTE, once a solo endeavor by Daniel Foggin, now expanded to a fuller ensemble blends traditional instrumentation — creaking strings, funeral drums, somber winds — with thunderous synth work and ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
IEEE

Radius-SMOTE: A New Oversampling Technique of Minority Samples Based on Radius Distance for Learning From Imbalanced Data

Abstract: Imbalanced learning problems are a challenge faced by classifiers when data samples have an unbalanced distribution in each class. Furthermore, the synthetic oversampling method (SMOTE) is a ...
IEEE

Improving Cardiovascular Disease Prediction With Deep Learning and Correlation-Aware SMOTE

Abstract: Cardiovascular disease (CVD) ranks among the top causes of mortality globally, underscoring the urgent necessity for advanced predictive models to enhance early detection and preventative ...
GitHub

DAB-SMOTE: Density-Aware Borderline SMOTE

DAB-SMOTE is an advanced oversampling method for handling classification problems with imbalanced classes. Its goal is to improve classifier performance by generating synthetic samples of the minority ...