Handbook of machine olfaction TC Pearce, SS Schiffman, HT Nagle, JW Gardner Wiley-Vch, Germany., 2006 | 1205 | 2006 |
Electronic nose for monitoring the flavour of beers TC Pearce, JW Gardner, S Friel, PN Bartlett, N Blair Analyst 118 (4), 371-377, 1993 | 354 | 1993 |
High-quality prediction intervals for deep learning: A distribution-free, ensembled approach T Pearce, A Brintrup, M Zaki, A Neely International conference on machine learning, 4075-4084, 2018 | 314 | 2018 |
State of the World’s Plants and Fungi A Antonelli, RJ Smith, C Fry, MSJ Simmonds, PJ Kersey, HW Pritchard, ... Royal Botanic Gardens (Kew); Sfumato Foundation, 2020 | 280 | 2020 |
Uncertainty in neural networks: Approximately bayesian ensembling T Pearce, F Leibfried, A Brintrup International conference on artificial intelligence and statistics, 234-244, 2020 | 222 | 2020 |
Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing A Brintrup, J Pak, D Ratiney, T Pearce, P Wichmann, P Woodall, ... International Journal of Production Research 58 (11), 3330-3341, 2020 | 169 | 2020 |
Analog VLSI circuit implementation of an adaptive neuromorphic olfaction chip TJ Koickal, A Hamilton, SL Tan, JA Covington, JW Gardner, TC Pearce IEEE Transactions on Circuits and Systems I: Regular Papers 54 (1), 60-73, 2007 | 165 | 2007 |
Computational parallels between the biological olfactory pathway and its analogueThe Electronic Nose': Part II. Sensor-based machine olfaction TC Pearce Biosystems 41 (2), 69-90, 1997 | 147 | 1997 |
A multisensor system for beer flavour monitoring using an array of conducting polymers and predictive classifiers JW Gardner, TC Pearce, S Friel, PN Bartlett, N Blair Sensors and Actuators B: Chemical 18 (1-3), 240-243, 1994 | 144 | 1994 |
An artificial moth: Chemical source localization using a robot based neuronal model of moth optomotor anemotactic search P Pyk, S Bermúdez i Badia, U Bernardet, P Knüsel, M Carlsson, J Gu, ... Autonomous Robots 20, 197-213, 2006 | 138 | 2006 |
Computational parallels between the biological olfactory pathway and its analogueThe Electronic Nose':: Part I. Biological olfaction TC Pearce BioSystems 41 (1), 43-67, 1997 | 127 | 1997 |
Optical multibead arrays for simple and complex odor discrimination KJ Albert, DR Walt, DS Gill, TC Pearce Analytical Chemistry 73 (11), 2501-2508, 2001 | 122 | 2001 |
Imitating human behaviour with diffusion models T Pearce, T Rashid, A Kanervisto, D Bignell, M Sun, R Georgescu, ... arXiv preprint arXiv:2301.10677, 2023 | 117 | 2023 |
Electronic nose based investigation of the sensorial properties of peaches and nectarines C Di Natale, A Macagnano, E Martinelli, E Proietti, R Paolesse, ... Sensors and Actuators B: Chemical 77 (1-2), 561-566, 2001 | 114 | 2001 |
Convergence and parallelism in evolution: a neo-Gouldian account T Pearce The British Journal for the Philosophy of Science, 2012 | 95 | 2012 |
Understanding softmax confidence and uncertainty T Pearce, A Brintrup, J Zhu arXiv preprint arXiv:2106.04972, 2021 | 80 | 2021 |
Uncertainty in neural networks: Bayesian ensembling T Pearce, M Zaki, A Brintrup, N Anastassacos, A Neely stat 1050, 12, 2018 | 79 | 2018 |
Leading out loud T Pearce Jossey-Bass, 1995 | 75 | 1995 |
Pattern analysis for electronic noses EL Hines, P Boilot, JW Gardner, MA Gongora Handbook of Machine Olfaction: Electronic Nose Technology, 133-160, 2002 | 67 | 2002 |
Expressive priors in Bayesian neural networks: Kernel combinations and periodic functions T Pearce, R Tsuchida, M Zaki, A Brintrup, A Neely Uncertainty in artificial intelligence, 134-144, 2020 | 61 | 2020 |