Andrew Hamilton-Wright

Orcid: 0000-0002-7459-656X

According to our database1, Andrew Hamilton-Wright authored at least 24 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Revisiting the Security of Biometric Authentication Systems Against Statistical Attacks.
ACM Trans. Priv. Secur., May, 2023

Predicting Wrist Posture during Occupational Tasks Using Inertial Sensors and Convolutional Neural Networks.
Sensors, January, 2023

2022
Unsupervised Electrodermal Data Analysis Comparison between Biopac and Empatica E4 Data Collection Platforms.
Proceedings of the 11th International Conference on Data Science, 2022

2021
Machine learning techniques to identify mind-wandering and predict hazard response time in fully immersive driving simulation.
Soft Comput., 2021

Deep learning-based detection of COVID-19 from chest x-ray images.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020
Curtain Graphs: Using a Floating Baseline for Comparison in a Two-dimensional Graphical Space.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019
A Synergistic Approach to Enhance the Accuracy-interpretability Trade-off of the NECLASS Classifier for Skewed Data Distribution.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

2018
Improved MUP Template Estimation Using Local Time Warping and Kernel Weighted Averaging.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016
Classification Confusion within Nefclass Caused by Feature Value Skewness in Multi-dimensional Datasets.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

2015
Aggregate Features in Multisample Classification Problems.
IEEE J. Biomed. Health Informatics, 2015

2014
Characterizing EMG data using machine-learning tools.
Comput. Biol. Medicine, 2014

Visualizing Information for Electromyographic Characterization.
Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)/ The 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2014)/ Affiliated Workshops, 2014

2011
Validating motor unit firing patterns extracted by EMG signal decomposition.
Medical Biol. Eng. Comput., 2011

2009
Visualization Techniques for Confidence Based Data.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Quantization of Continuous Data for Pattern Based Rule Extraction.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

2008
Statistically Based Pattern Discovery Techniques for Biological Data Analysis.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

2007
Fuzzy Classification Using Pattern Discovery.
IEEE Trans. Fuzzy Syst., 2007

'Cheap grid': Leveraging system failure using stochastic computation.
Future Gener. Comput. Syst., 2007

2006
Transparent Decision Support Using Statistical Reasoning and Fuzzy Inference.
IEEE Trans. Knowl. Data Eng., 2006

Clinical Characterization of Electromyographic Data Using Computational Tools.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2005
Transparent Decision Support Using Statistical Evidence.
PhD thesis, 2005

Physiologically based simulation of clinical EMG signals.
IEEE Trans. Biomed. Eng., 2005

2002
Using Spare Network Computing Power for Genetic Algorithm Problems.
Proceedings of the 16th Annual International Symposium on High Performance Computing Systems and Applications, 2002

Fault-tolerant network computation of individuals in genetic algorithms.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002


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