IEEE

A Cost-Sensitive XGBoost Training and Decision Framework for Highly Imbalanced Binary Classification Tasks

Abstract: In highly imbalanced binary classification tasks with asymmetric misclassification costs, traditional cost-insensitive learning strategies fail to reflect true risk and often yield poor ...
GitHub

GNAP: git-native persistent task coordination for multi-agent handoffs

The new Agents SDK does handoffs really elegantly, but like most agent frameworks the coordination state is ephemeral — restart the process and the task graph is gone. I wanted to share a ...
Scientific Research Publishing

Chicco, D. and Jurman, G. (2020) The Advantages of the Matthews Correlation Coefficient (MCC) over F1 Score and Accuracy in Binary Classification Evaluation. BMC Genomics, 21 ...

ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
IEEE

Fine-Tuned Xception Model for Automated Classification of Indian Rock Reptiles: A Deep Learning Approach to Python and Russell's Viper Identification

Abstract: Particularly for Russell's Viper and Python, the increasing interactions between people and Indian rock reptiles make appropriate and early identification more crucial to assure public ...