New Publications

Congratulations to the following for their recent paper acceptance!

Ben Evans and Allan Tucker
Evans B.C., Tucker A., Wearn O.R., Carbone C. (2021). Reasoning About Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications. In: Koprinska I. et al. (eds) ECML PKDD 2020 Workshops. ECML PKDD 2020. Communications in Computer and Information Science, vol 1323. Springer, Cham.

Lianghao Han
Zhihao Dai, Zhong Li and Lianghao Han. (2021). BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis, IDA 2021.

Yue Shi, Liangxiu Han, Wenjiang Huang, Sheng Chang, Yingying Dong, Darren Dancey, Lianghao Han. (2021). A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery, 10.1109/TGRS.2021.3058782, IEEE Transactions on Geoscience and Remote Sensing, IDA 2021.

Biraja Ghoshal and Allan Tucker
Ghoshal, B. and Tucker, A. (2021) Hyperspherical Weight Uncertainty in Neural Networks, IDA 2021.

Health Data Research UK

The IDA- Group gave a talk at the inaugaural workshop by the HDR UK Synthetic Data Special Interest Group:

Congatulations to Yani Xue

Congratulations Yani Xue for successfully defending here thesis titled “Effective and Efficient Evolutionary Many-Objective Optimization”

Yani Xue

Congratulations to Lilly Yousefi

Congratulations to Lilly Yousefi for passing her PhD viva with minor corrections.

Leila Yousefi

Thesis Title: “Opening Artificial intelligence Black Box Models: Disease Prediction and Patient Personalisation Using Hidden Variable Discovery and Dynamic Bayesian Networks

Lilly is now working at Brunel Biosciences in collaboration with the Turing Institute and UCL.

New publications

Congratulations to Erfan Sajjadi and Ben Evans for their succesful submissions to the SOGOOD workship at ECML this year:

Erfan Sajjadi et al. Building Trajectories over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease

Ben Evans et al. Reasoning about Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications

Other new publications from the group include:

Biraja Ghoshal & Allan Tucker, On Calibrated Model Uncertainty in Deep Learning, ECML Workshop on Uncertainty in Machine Learning

Juan de Benediti et al. Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks, SOGOOD, ECML 2020

Arianna Dagliati et al. Using Topological Data Analysis and Pseudo Time Series to Infer Temporal Phenotypes from Electronic Health Records, AI in Medicine Journal

Covid19 Update

The Group is on lockdown but work continues:

Seminars are continuing online

Some staff are volunteering their hardware and data analysis skills at Hillingdon hospital

A collaboration with the MHRA and CPRD will result in synthetic primary care data being made available for Covid19 research.

Biraja Ghoshal has been exploring his methods for identifying Covid19 from lung images:

IDA Seminar (Virtual) 15th April 2020

IDA seminars will continue in spite of the UK lockdown. Last week’s was held successfully with three talks from successful IDA 2020 submissions.

IDA 2020 going online

Due to the ongoing Corona virus restrictions IDA 2020 will be held as a virtual conference online on the original dates. As a result it will be free to all! More information will be posted here nearer the time: IDA2020