Hugo Hiden

According to our database, Hugo Hiden authored at least 19 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data Efficient Transformers for Wearable Sensor Analysis in Centralized and Federated Environments.

Jamie McQuire, Paul Watson, Nick Wright, Hugo Hiden, Michael Catt

Proceedings of the IEEE International Conference on Big Data, 2024

2023

A Data Efficient Vision Transformer for Robust Human Activity Recognition from the Spectrograms of Wearable Sensor Data.

Jamie McQuire, Paul Watson, Nick Wright, Hugo Hiden, Michael Catt

Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

Mobilise-D: Experiences of Processing Large Medical Data Sets Using Cloud Computing Resources.

Hugo Hiden, Paul Watson

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

The e-Science Central Study Data Platform.

Paul Watson, Hugo Hiden

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Uneven and Irregular Surface Condition Prediction from Human Walking Data using both Centralized and Decentralized Machine Learning Approaches.

Jamie McQuire, Paul Watson, Nick Wright, Hugo Hiden, Michael Catt

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2017

Applications of provenance in performance prediction and data storage optimisation.

Simon Woodman, Hugo Hiden, Paul Watson

Future Gener. Comput. Syst., 2017

A Platform for the Analysis of Qualitative and Quantitative Data about the Built Environment and Its Users.

Mike Simpson, Simon Woodman, Hugo Hiden, Sebastian Stein, Stephen Dowsland, Mark Turner, Vicki L. Hanson, Paul Watson

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016

Provenance and data differencing for workflow reproducibility analysis.

Paolo Missier, Simon Woodman, Hugo Hiden, Paul Watson

Concurr. Comput. Pract. Exp., 2016

Accelerometer-based gait assessment: Pragmatic deployment on an international scale.

Silvia Del Din, Aodhán Hickey, Simon Woodman, Hugo Hiden, Rosie Morris, Paul Watson, Kianoush Nazarpour, Michael Catt, Lynn Rochester, Alan Godfrey

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Prediction of workflow execution time using provenance traces: Practical applications in medical data processing.

Hugo Hiden, Simon Woodman, Paul Watson

Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015

Workflow provenance: an analysis of long term storage costs.

Simon Woodman, Hugo Hiden, Paul Watson

Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science, 2015

Monitoring of Upper Limb Rehabilitation and Recovery after Stroke: An Architecture for a Cloud-Based Therapy Platform.

Simon Woodman, Hugo Hiden, Mark Turner, Stephen Dowsland, Paul Watson

Proceedings of the 11th IEEE International Conference on e-Science, 2015

2013

Cloud computing for fast prediction of chemical activity.

Jacek Cala, Hugo Hiden, Simon Woodman, Paul Watson

Future Gener. Comput. Syst., 2013

A framework for dynamically generating predictive models of workflow execution.

Hugo Hiden, Simon Woodman, Paul Watson

Proceedings of WORKS 2013: 8th Workshop On Workflows in Support of Large-Scale Science, 2013

2011

Achieving reproducibility by combining provenance with service and workflow versioning.

Simon Woodman, Hugo Hiden, Paul Watson, Paolo Missier

Proceedings of the WORKS'11, 2011

2010

Orchestration of Grid-Enabled Geospatial Web Services in Geoscientific Workflows.

Gobe Hobona, David Fairbairn, Hugo Hiden, Philip James

IEEE Trans Autom. Sci. Eng., 2010

e-Science Central for CARMEN: science as a service.

Paul Watson, Hugo Hiden, Simon Woodman

Concurr. Comput. Pract. Exp., 2010

2008

GOLD infrastructure for virtual organizations.

Panos Periorellis, N. Cook, Hugo Hiden, A. Conlin, M. D. Hamilton, Jiyi Wu, Jeremy W. Bryans, Xiangguo Gong, F. Zhu, R. Smith, Paul Watson, Allen R. Wright

Concurr. Comput. Pract. Exp., 2008

1998

Data-based modelling using genetic programming.

Hugo George Hiden

PhD thesis, 1998