GitHub

Code Structure Analyzer (CSA)

This tool has been developed using both LM Studio and Ollama as LLM providers. The idea behind using a local LLM, like Google's Gemma-3 1B, is data privacy and low cost. In addition, with a good LLM a ...
Communications of the ACM

A Decade of Docker Containers

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows for the rapid distribution of the resulting executabl ...
IEEE

A Novel Expandable Borderline Smote Over-Sampling Method for Class Imbalance Problem

Abstract: The class imbalance problem can cause classifiers to be biased toward the majority class and inclined to generate incorrect predictions. While existing studies have proposed numerous ...
Tech Xplore

Exposing biases, moods, personalities and abstract concepts hidden in large language models

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
UC San Diego Today

A New Method to Steer AI Output Uncovers Vulnerabilities and Potential Improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
IEEE

Cross-Domain Few-Shot Learning Method Based on Fractional Domain Information for Hyperspectral Image Multi-Class Change Detection

Abstract: Hyperspectral image multi-class change detection (HSI-MCD) based on deep learning (DL) rely significantly on the number of labeled data. Due to the high cost of manually labeling for ...