Respiratory diseases such as COVID-19 are known to physically damage our airway and lungs, which in turn alters the produced respiratory sounds (e.g., cough, breadth). During the pandemic, cough classification has emerged as an accessible, low-cost, and environmentally friendly COVID-19 screening alternative, needing only a smartphone to collect and process cough samples. However, audio processing … full description “AI-powered COVID-19 detection via cough sounds (available)”
Tag: machine learning
Algorithms for lifelong deep learning (available)
Continual learning [1], also known as lifelong learning, refers to the ability of an artificial intelligence system to continuously learn and adapt from new experiences over time. This is an important capability as it allows AI models to acquire new knowledge and skills as more data becomes available, without forgetting previously learned information. Continual learning … full description “Algorithms for lifelong deep learning (available)”
Analyzing the Evolution of Fairness properties in ML-based Code repositories (available)
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)”
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)”
Exploring optimization algorithms for recurrent neural networks (available)
Recurrent neural networks (RNNs) are a key type of architecture in modern deep learning, particularly for processing sequential data such as text, speech, video, and time series data. Unlike feedforward networks, RNNs have loops that allow information to persist and be passed from one step to the next. This enables them to effectively model patterns … full description “Exploring optimization algorithms for recurrent neural networks (available)”
Quantum computing without quantum computers (available)
Quantum Technologies (QT) may revolutionise data science but are often unreliable. Classical and quantum noise makes most of the existing systems highly unstable. This generalised unreliability has limited their applicability to real-world computational problems. In special cases, quantum systems can be simulated on classical computers. As classical simulations are noise-free, they can be used to … full description “Quantum computing without quantum computers (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)”