We look forward to learning more about these projects at our Research symposium in September.
DURHAM
| Learning Semantically Meaningful Representations in Image and Music Data | ||
| Reductio et Elaboratio ad astera!: Leveraging Bede's capabilities in Machine Learning for the Digital Humanities Task of Explainable Music Generation | ||
| Diminishing Biases for Dermoscopic Images using Diffusion-based Data Augmentation | ||
| Learning to run social network analyses on historical data at scale with HPC |
LANCASTER
| Porting dynamical models of Covid19 from single-GPU to multi-GPU on Bede. | ||
| Local versus global spatial analysis of Neglected Tropical Diseases in Sub-Saharan Africa. | ||
| Extreme scale text analysis pipelines: comparative evaluation of UCREL-Hex, Lancaster-HEC and N8-Bede, and development of training materials and demonstrator Python scripts and notebooks | ||
| Identifying social network structure from epidemic contact tracing data |
LIVERPOOL
| Data collection and deep learning models for music emotion recognition | ||
| Improved inverse reinforcement learning for attacker's intention inference | ||
| Benchmarking large language models for reading biomedical literature | ||
| Software Development for Automated Pediatric Brain Tumor Detection, Classification and Segmentation with 3D Tumor Imaging Tool |
MANCHESTER
| Geospatial, textual, and computer vision approaches to research in the humanities | ||
| Humanities data science: Geospatial, network, and textual analysis |
NEWCASTLE
| Ballast Hill burial ground | ||
| Enhancing Healthcare for Older Adults: Predictive Heart Monitoring Using Wearable Technology - Data Science Application |
SHEFFIELD
| Lingustic Bede | ||
| AI Care federated | ||
| Unlocking the complexity of organismal colour patterns using artificial intelligence |
YORK
| Reducing Ethnical Bias in 3D Face Analysis Using a Neural Network Learned Natural Illumination Prior | ||
| Deciphering the IHF-DNA Binding Mechanism: Implications for Surpressing Stubborn Bacteria | ||
| Knowledge Extraction using Large Language Models (LLMs) for Explainable Mental Health Assessment | ||
| Simulations on the H-NS protein: the sentinel of antibiotic resistance genes in bacteria | ||
| Pair Spectrometer Calorimeter Reconstruction Using Machine Learning | ||
| CIZ1 Training Ground: U-Net Approach for Drag-and-drop Image Analysis |