AI-Generated Mental Health Advice Must Shift From Discrete-Classifications To Continuous Multidimensional Psychological Analyses

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
InfoWorld

How multi-agent collaboration is redefining real-world problem solving

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...
The New York Times

Harvard Students Skip Class and Still Get High Grades, Faculty Say

Many students don’t do the reading and don’t speak up in class, according to a report. Now, professors are trying to change a campus culture they say hurts achievement and stifles speech. By Anemona ...
GitHub

Potential Evaluation Issue: Binary Conversion of Multi-Class Problem in VTFPAR++ project

Thank you for the interesting work and for sharing your code. While reviewing your evaluation methodology, I noticed a potential issue in how the performance metrics (e.g., F1-score and accuracy) are ...
Frontiers

A hierarchical multi-class classification system for face and text datasets

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
IEEE

MKC-SMOTE: A Novel Synthetic Oversampling Method for Multi-Class Imbalanced Data Classification

Abstract: The learning of multi-class imbalance problems presents greater challenges and has fewer research results compared to binary imbalance problems. Resampling techniques are widely employed to ...
Frontiers

Uncertainty quantification in multi-class image classification using chest X-ray images of COVID-19 and pneumonia

1 Department of Mathematical Sciences, Sol Plaatje University, Kimberley, South Africa 2 Department of Computer Science and Information Technology, Sol Plaatje University, Kimberley, South Africa Deep ...