| GPflow: A Gaussian process library using TensorFlow AGG Matthews, M Van Der Wilk, T Nickson, K Fujii, A Boukouvalas, P Le, ... Journal of Machine Learning Research 18 (40), 1-6, 2017 | 628 | 2017 |
| What to Do When K-Means Clustering Fails: A Simple yet Principled Alternative Algorithm YP Raykov, A Boukouvalas, F Baig, MA Little PloS one 11 (9), e0162259, 2016 | 242 | 2016 |
| Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction YP Raykov, E Ozer, G Dasika, A Boukouvalas, MA Little Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016 | 159 | 2016 |
| Medication reconciliation by a pharmacy technician in a mental health assessment unit K Brownlie, C Schneider, R Culliford, C Fox, A Boukouvalas, C Willan, ... International journal of clinical pharmacy 36, 303-309, 2014 | 86 | 2014 |
| Benchmark and parameter sensitivity analysis of single-cell RNA sequencing clustering methods M Krzak, Y Raykov, A Boukouvalas, L Cutillo, C Angelini Frontiers in genetics 10, 1253, 2019 | 75 | 2019 |
| Age‐associated changes in long‐chain fatty acid profile during healthy aging promote pro‐inflammatory monocyte polarization via PPAR γ C Pararasa, J Ikwuobe, S Shigdar, A Boukouvalas, IT Nabney, JE Brown, ... Aging cell 15 (1), 128-139, 2016 | 67 | 2016 |
| GrandPrix: scaling up the Bayesian GPLVM for single-cell data S Ahmed, M Rattray, A Boukouvalas Bioinformatics 35 (1), 47-54, 2019 | 65 | 2019 |
| Transition from community dwelling to retirement village in older adults: cognitive functioning and psychological health outcomes C Holland, A Boukouvalas, S Wallis, D Clarkesmith, R Cooke, L Liddell, ... Ageing & Society 37 (7), 1499-1526, 2017 | 56 | 2017 |
| Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments N BinTayyash, S Georgaka, ST John, S Ahmed, A Boukouvalas, ... Bioinformatics 37 (21), 3788-3795, 2021 | 41 | 2021 |
| Optimal design for correlated processes with input-dependent noise A Boukouvalas, D Cornford, M Stehlík Computational Statistics & Data Analysis 71, 1088-1102, 2014 | 37 | 2014 |
| Simple approximate MAP inference for Dirichlet processes mixtures YP Raykov, A Boukouvalas, MA Little | 33* | 2016 |
| Learning heteroscedastic Gaussian processes for complex datasets A Boukouvalas, D Cornford Group 44 (0), 2009 | 33 | 2009 |
| An efficient screening method for computer experiments A Boukouvalas, JP Gosling, H Maruri-Aguilar Technometrics 56 (4), 422-431, 2014 | 29 | 2014 |
| Additive gaussian processes revisited X Lu, A Boukouvalas, J Hensman International Conference on Machine Learning, 14358-14383, 2022 | 28 | 2022 |
| Gaussian process quantile regression using expectation propagation A Boukouvalas, R Barillec, D Cornford arXiv preprint arXiv:1206.6391, 2012 | 26 | 2012 |
| BGP: identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process A Boukouvalas, J Hensman, M Rattray Genome biology 19, 1-15, 2018 | 25 | 2018 |
| Adaptive sensor placement for continuous spaces J Grant, A Boukouvalas, RR Griffiths, D Leslie, S Vakili, EM De Cote International Conference on Machine Learning, 2385-2393, 2019 | 19 | 2019 |
| Bayesian precalibration of a large stochastic microsimulation model A Boukouvalas, P Sykes, D Cornford, H Maruri-Aguilar IEEE Transactions on Intelligent Transportation Systems 15 (3), 1337-1347, 2014 | 19 | 2014 |
| Emulation of random output simulators A Boukouvalas Aston University, 2010 | 18 | 2010 |
| Enriched mixtures of generalised Gaussian process experts C Gadd, S Wade, A Boukouvalas International Conference on Artificial Intelligence and Statistics, 3144-3154, 2020 | 15 | 2020 |
James HensmanMicrosoft ResearchVerified email at microsoft.com
