ProfessorIrena Koprinska

3D Human Motion Recovery and Generation: From Noisy Pose to Language Description

Adaptive Incremental Learning in Dynamic and Unknown Environments

chatbot-supported interfaces design for long-term physical activity data

Data Science to Improve Feedback, Understand Student Behaviour and Address Equity Issues in Computer Programming Education Using Data from Large-Scale Courses

Deep 3D Information Prediction and Understanding

Deep Learning for Sleep Apnea Detection and Prediction

Deep Learning for Time Series Forecasting

Dynamic Traffic Flow Forecasting with Few-shot Learning

Ensemble Methods for Time Series Forecasting

Interpretable Machine Learning Methods

Meta-Learning for Time Series Forecasting

Mining Associations of Older Adults' Mobility and Sleep Data Measured via Passive Sensors

Neurosymbolic Word Sense Disambiguition

Predicting Emergency Department Dispositions and Short-term Revisits using Explainable Machine Learning

Predicting Obstructive Sleep Apnea Events Using Deep Learning

Revealing the Development of Immune Response through Temporal Dynamic Clustering

Solar Power Forecasting

Towards Robust and Reliable Machine Learning: Theory and Algorithms

Towards Sleep Data Science: Objective Analysis of Sleep Disorders Using Machine Learning Techniques