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2020 – today
- 2023
[j10]Calvin Young
, Andrew Hamilton-Wright, Michele L. Oliver, Karen D. Gordon:
Predicting Wrist Posture during Occupational Tasks Using Inertial Sensors and Convolutional Neural Networks. Sensors 23(2): 942 (2023)- [j9]Sohail Habib, Hassan Khan, Andrew Hamilton-Wright, Urs Hengartner:
Revisiting the Security of Biometric Authentication Systems Against Statistical Attacks. ACM Trans. Priv. Secur. 26(2): 21:1-21:30 (2023) - 2022
- [c10]Kassy Raymond, Andrew Hamilton-Wright:
Unsupervised Electrodermal Data Analysis Comparison between Biopac and Empatica E4 Data Collection Platforms. DATA 2022: 345-352 - 2021
- [j8]John Beninger, Andrew Hamilton-Wright, Heather E. K. Walker, Lana M. Trick:
Machine learning techniques to identify mind-wandering and predict hazard response time in fully immersive driving simulation. Soft Comput. 25(2): 1239-1247 (2021) - [c9]Jenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, Eran Ukwatta:
Deep learning-based detection of COVID-19 from chest x-ray images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [c8]Kassandra Raymond, Andrew Hamilton-Wright:
Curtain Graphs: Using a Floating Baseline for Comparison in a Two-dimensional Graphical Space. VISIGRAPP (3: IVAPP) 2020: 125-132
2010 – 2019
- 2019
- [c7]Jamileh Yousefi, Andrew Hamilton-Wright, Charlie Obimbo:
A Synergistic Approach to Enhance the Accuracy-interpretability Trade-off of the NECLASS Classifier for Skewed Data Distribution. IJCCI 2019: 325-334 - 2018
- [c6]Andrew Hamilton-Wright, Daniel W. Stashuk:
Improved MUP Template Estimation Using Local Time Warping and Kernel Weighted Averaging. EMBC 2018: 2647-2650 - 2016
- [c5]Jamileh Yousefi, Andrew Hamilton-Wright:
Classification Confusion within Nefclass Caused by Feature Value Skewness in Multi-dimensional Datasets. IJCCI (FCTA) 2016: 21-29 - 2015
- [j7]Robert Varga, S. Marie Matheson, Andrew Hamilton-Wright:
Aggregate Features in Multisample Classification Problems. IEEE J. Biomed. Health Informatics 19(2): 486-492 (2015) - 2014
- [j6]Jamileh Yousefi, Andrew Hamilton-Wright:
Characterizing EMG data using machine-learning tools. Comput. Biol. Medicine 51: 1-13 (2014) - [c4]Andrew Hamilton-Wright:
Visualizing Information for Electromyographic Characterization. EUSPN/ICTH 2014: 287-292 - 2011
- [j5]Hossein Parsaei, Faezeh Jahanmiri-Nezhad, Daniel W. Stashuk, Andrew Hamilton-Wright:
Validating motor unit firing patterns extracted by EMG signal decomposition. Medical Biol. Eng. Comput. 49(6): 649-658 (2011)
2000 – 2009
- 2009
- [r2]Andrew Hamilton-Wright, Daniel W. Stashuk:
Quantization of Continuous Data for Pattern Based Rule Extraction. Encyclopedia of Data Warehousing and Mining 2009: 1646-1652 - [r1]Andrew Hamilton-Wright, Daniel W. Stashuk:
Visualization Techniques for Confidence Based Data. Encyclopedia of Data Warehousing and Mining 2009: 2068-2073 - 2008
- [p1]Andrew Hamilton-Wright, Daniel W. Stashuk:
Statistically Based Pattern Discovery Techniques for Biological Data Analysis. Applications of Computational Intelligence in Biology 2008: 3-31 - 2007
- [j4]Andrew Hamilton-Wright, Deborah A. Stacey:
'Cheap grid': Leveraging system failure using stochastic computation. Future Gener. Comput. Syst. 23(4): 525-535 (2007) - [j3]Andrew Hamilton-Wright, Daniel W. Stashuk, Hamid R. Tizhoosh:
Fuzzy Classification Using Pattern Discovery. IEEE Trans. Fuzzy Syst. 15(5): 772-783 (2007) - 2006
- [j2]Andrew Hamilton-Wright, Daniel W. Stashuk:
Transparent Decision Support Using Statistical Reasoning and Fuzzy Inference. IEEE Trans. Knowl. Data Eng. 18(8): 1125-1137 (2006) - [c3]Andrew Hamilton-Wright, Daniel W. Stashuk:
Clinical Characterization of Electromyographic Data Using Computational Tools. CIBCB 2006: 1-7 - 2005
- [b1]Andrew Hamilton-Wright:
Transparent Decision Support Using Statistical Evidence. University of Waterloo, Ontario, Canada, 2005 - [j1]Andrew Hamilton-Wright, Daniel W. Stashuk:
Physiologically based simulation of clinical EMG signals. IEEE Trans. Biomed. Eng. 52(2): 171-183 (2005) - 2002
- [c2]Andrew Hamilton-Wright, Deborah A. Stacey:
Fault-tolerant network computation of individuals in genetic algorithms. IEEE Congress on Evolutionary Computation 2002: 1721-1726 - [c1]Andrew Hamilton-Wright, Deborah A. Stacey:
Using Spare Network Computing Power for Genetic Algorithm Problems. HPCS 2002: 243-250
Coauthor Index
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