Fault-tolerant network computation of individuals in genetic algorithms. - Andrew Hamilton-Wright; Deborah A. Stacey (IEEE Congress on Evolutionary Computation, 2002)

Using Spare Network Computing Power for Genetic Algorithm Problems. - Andrew Hamilton-Wright; Deborah A. Stacey (HPCS, 2002)

Comparing "pattern discovery" and back-propagation classifiers. - Andrew Hamilton-Wright; Daniel W. Stashuk (IJCNN, 2005)

Physiologically based simulation of clinical EMG signals. - Andrew Hamilton-Wright; Daniel W. Stashuk (IEEE Trans. Biomed. Eng., 2005)

Transparent Decision Support Using Statistical Evidence. - Andrew Hamilton-Wright (2005)

Clinical Characterization of Electromyographic Data Using Computational Tools. - Andrew Hamilton-Wright; Daniel W. Stashuk (CIBCB, 2006)

Transparent Decision Support Using Statistical Reasoning and Fuzzy Inference. - Andrew Hamilton-Wright; Daniel W. Stashuk (IEEE Trans. Knowl. Data Eng., 2006)

'Cheap grid': Leveraging system failure using stochastic computation. - Andrew Hamilton-Wright; Deborah A. Stacey (Future Gener. Comput. Syst., 2007)

Fuzzy Classification Using Pattern Discovery. - Andrew Hamilton-Wright; Daniel W. Stashuk; Hamid R. Tizhoosh (IEEE Trans. Fuzzy Syst., 2007)

Statistically Based Pattern Discovery Techniques for Biological Data Analysis. - Andrew Hamilton-Wright; Daniel W. Stashuk (Applications of Computational Intelligence in Biology, 2008)

Quantization of Continuous Data for Pattern Based Rule Extraction. - Andrew Hamilton-Wright; Daniel W. Stashuk (Encyclopedia of Data Warehousing and Mining, 2009)

Visualization Techniques for Confidence Based Data. - Andrew Hamilton-Wright; Daniel W. Stashuk (Encyclopedia of Data Warehousing and Mining, 2009)

Validating motor unit firing patterns extracted by EMG signal decomposition. - Hossein Parsaei; Faezeh Jahanmiri-Nezhad; Daniel W. Stashuk; Andrew Hamilton-Wright (Medical Biol. Eng. Comput., 2011)

Visualizing Information for Electromyographic Characterization. - Andrew Hamilton-Wright (EUSPN/ICTH, 2014)

Characterizing EMG data using machine-learning tools. - Jamileh Yousefi; Andrew Hamilton-Wright (Comput. Biol. Medicine, 2014)

Aggregate Features in Multisample Classification Problems. - Robert Varga; S. Marie Matheson; Andrew Hamilton-Wright (IEEE J. Biomed. Health Informatics, 2015)

Classification Confusion within Nefclass Caused by Feature Value Skewness in Multi-dimensional Datasets. - Jamileh Yousefi; Andrew Hamilton-Wright (IJCCI (FCTA), 2016)

Improved MUP Template Estimation Using Local Time Warping and Kernel Weighted Averaging. - Andrew Hamilton-Wright; Daniel W. Stashuk (EMBC, 2018)

A Synergistic Approach to Enhance the Accuracy-interpretability Trade-off of the NECLASS Classifier for Skewed Data Distribution. - Jamileh Yousefi; Andrew Hamilton-Wright; Charlie Obimbo (IJCCI, 2019)

Curtain Graphs: Using a Floating Baseline for Comparison in a Two-dimensional Graphical Space. - Kassandra Raymond; Andrew Hamilton-Wright (VISIGRAPP (3: IVAPP), 2020)

Deep learning-based detection of COVID-19 from chest x-ray images. - Jenita Manokaran; Fatemeh Zabihollahy; Andrew Hamilton-Wright; Eran Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Machine learning techniques to identify mind-wandering and predict hazard response time in fully immersive driving simulation. - John Beninger; Andrew Hamilton-Wright; Heather E. K. Walker; Lana M. Trick (Soft Comput., 2021)

Unsupervised Electrodermal Data Analysis Comparison between Biopac and Empatica E4 Data Collection Platforms. - Kassy Raymond; Andrew Hamilton-Wright (DATA, 2022)

Predicting Wrist Posture during Occupational Tasks Using Inertial Sensors and Convolutional Neural Networks. - Calvin Young; Andrew Hamilton-Wright; Michele L. Oliver; Karen D. Gordon (Sensors, 2023)

Revisiting the Security of Biometric Authentication Systems Against Statistical Attacks. - Sohail Habib; Hassan Khan; Andrew Hamilton-Wright; Urs Hengartner (ACM Trans. Priv. Secur., 2023)