Project Description: Machine Learning (ML) systems are vital components of everyday products and services in our society. ML models have been popularly employed in law enforcement (e.g., COMPASS), legal use cases (e.g., LegalBERT), and programming language tasks (e.g., CodeBERT, Github Copilot, etc.). Despite the criticality of these use cases, ML systems are often biased towards … full description “Analyzing the Evolution of Fairness properties in ML-based Code repositories (available)”
Tag: machine learning
Are we alone? Discovering Earth-like exoplanets with Conformal Prediction (available)
Billions of exoplanets are orbiting around their stars outside our solar system [1]. But are they similar enough to our Earth so that life may have developed there? Often you can answer this question if you know the planet’s mass, radius, and orbiting period. Given the astronomic distances between us and the planets, however, you … full description “Are we alone? Discovering Earth-like exoplanets with Conformal Prediction (available)”
Self-localisation of drones using machine learning (available)
Drones are cool, but sometimes things go wrong. Imagine a drone is exploring an area, and all of a sudden the GPS signal becomes unreliable. How can the drone estimate its location, and avoid getting lost? Perhaps we can use data from its sensors and picture from the camera. In this project, we would like … full description “Self-localisation of drones using machine learning (available)”
The complexity of Neural Networks (available)
Neural Networks (NN) are powerful learning machines that allow you to extract meaningful information from historical data. Their strengths come from their flexibility and the possibility of training them through scalable methods, e.g. stochastic gradient descent. On the other hand, since NN depend on millions of real-valued parameters, using them has a high memory and … full description “The complexity of Neural Networks (available)”