Code and data used to create the examples in "Evidence-based Software Engineering based on the publicly available data"

Issue handling for Evidence-based Software Engineering: based on the publicly available data

Implementations of single and multi-ellipsoid nested sampling

The source code of "Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks

[SIGIR 2022] Source code and datasets for "Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention".

Elite BGS Science Hypotheses, Test Data, and thus proven theories that means all your base belong to us.

Data Tracker is a tool for measuring behavior in real-time to the aide of researchers and clinicians in the behavioral sciences.

Controlled vocabulary used for Rich Context and ADRF.

A2GB is a pipeline that will transform the genome annotation files exported from Apollo in preparation for sequence submission to NCBI’s GenBank.

This is a weird repo... \_(ツ)_/¯ | It's contents were an early attempt at trying to structure my thoughts and arguments around the current technoloogical epoch transitions that were well underway in society at the time as humanity entered the twilight of the Information Age, aka the Third Industrial Revolution.

Mobile app for running small experiments on yourself

Systematic AI evaluation framework that transforms subjective assessment into objective measurement. Reduce research time by 85% while maintaining 95%+ accuracy through multi-LLM validation.

Self-Compassion AI™ for Neurodiverse Brains 🧠 is an LLM RAG platform that delivers personalized guidance and support for self-compassion based on high-quality empirical research and science.

Sitio Web de las clases de Medicina Basada en la Evidencia y Análisis de la Decisión en la Clínica

Python/Streamlit mental health application featuring advanced analytics, personalized therapeutic insights, and evidence-based coping tools for trigger management.

Professional LLM rules and frameworks that transform AI assistants into rigorous thinking partners with first-principles reasoning, assumption validation, and evidence-based analysis.