| Defining explainable ai for requirements analysis R Sheh, I Monteath KI-Künstliche Intelligenz 32 (4), 261-266, 2018 | 43 | 2018 |
| Introspectively Assessing Failures through Explainable Artificial Intelligence R Sheh, I Monteath Introspective Methods for Reliable Autonomy, 2017 | 22 | 2017 |
| Assisted and incremental medical diagnosis using explainable artificial intelligence I Monteath, R Sheh Proceedings of the 2nd Workshop on Explainable Artificial Intelligence, 104-108, 2018 | 16 | 2018 |
| Machine learning classification of human joint tissue from diffuse reflectance spectroscopy data R Gunaratne, I Monteath, J Goncalves, R Sheh, CN Ironside, M Kapfer, ... Biomedical optics express 10 (8), 3889-3898, 2019 | 15 | 2019 |
| What was I planning to do M Roberts, I Monteath, R Sheh, D Aha, P Jampathom, K Akins, E Sydow, ... ICAPS workshop on explainable planning, 58-66, 2018 | 9 | 2018 |
| Wavelength weightings in machine learning for ovine joint tissue differentiation using diffuse reflectance spectroscopy (DRS) R Gunaratne, J Goncalves, I Monteath, R Sheh, M Kapfer, R Chipper, ... Biomedical Optics Express 11 (9), 5122-5131, 2020 | 7 | 2020 |
| Human joint tissue identification by employing diffuse reflectance and auto-fluorescence spectroscopy, in combination with machine learning R Gunaratne, I Monteath, R Sheh, CN Ironside, M Kapfer, B Robertson, ... The European Conference on Lasers and Electro-Optics, JS_ECBO_CLEO_Europe_3, 2017 | 2 | 2017 |
| Using tactile-exploration with the unscented kalman filter for high precision on-line shape and pose estimation of a 3d workpiece I Monteath, R Sheh, D Fick, R Khan, B Robertson Australasian Conference on Robotics and Automation, 2015 | 1 | 2015 |
Raymond ShehAdjunct Associate Research Scientist at Johns Hopkins University and Guest Researcher, NISTGeverifieerd e-mailadres voor georgetown.edu
