| 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 |
| 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 |
| Real-time room occupancy estimation with Bayesian machine learning using a single PIR sensor and microcontroller C Leech, YP Raykov, E Ozer, GV Merrett 2017 IEEE Sensors Applications Symposium (SAS), 1-6, 2017 | 66 | 2017 |
| Real-life gait performance as a digital biomarker for motor fluctuations: the Parkinson@ Home validation study LJW Evers, YP Raykov, JH Krijthe, AL Silva de Lima, R Badawy, K Claes, ... Journal of medical Internet research 22 (10), e19068, 2020 | 54 | 2020 |
| Estimating a number of occupants in a region YP Raykov, E Özer, GS Dasika US Patent 10,607,147, 2020 | 51 | 2020 |
| Simple approximate MAP inference for Dirichlet processes mixtures YP Raykov, A Boukouvalas, MA Little | 34* | 2016 |
| Automatic quality control and enhancement for voice-based remote Parkinson’s disease detection AH Poorjam, MS Kavalekalam, L Shi, JP Raykov, JR Jensen, MA Little, ... Speech Communication 127, 1-16, 2021 | 25 | 2021 |
| Automated quality control for sensor based symptom measurement performed outside the lab R Badawy, YP Raykov, LJW Evers, BR Bloem, MJ Faber, A Zhan, K Claes, ... Sensors 18 (4), 1215, 2018 | 19 | 2018 |
| Probabilistic Modelling of Gait for Robust Passive Monitoring in Daily Life YP Raykov, LJW Evers, R Badawy, BR Bloem, TM Heskes, MJ Meinders, ... IEEE Journal of Biomedical and Health Informatics 25 (6), 2293-2304, 2021 | 15 | 2021 |
| Quality control of voice recordings in remote Parkinson’s disease monitoring using the infinite hidden Markov model AH Poorjam, YP Raykov, R Badawy, JR Jensen, MG Christensen, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 11 | 2019 |
| Probabilistic modelling for unsupervised analysis of human behaviour in smart cities Y Qarout, YP Raykov, MA Little Sensors 20 (3), 784, 2020 | 7 | 2020 |
| Iterative collapsed MAP inference for Bayesian nonparametrics YP Raykov, A Boukouvalas, MA Little NIPS 2015 Workshop on Bayesian Nonparametrics: The Next Generation, 2015 | 4 | 2015 |
| Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction MAL Adam Farooq, Yordan P. Raykov, Petar Raykov Journal of Machine Learning Research 25 (135), 1--42, 2024 | 3* | 2024 |
| A deterministic inference framework for discrete nonparametric latent variable models: learning complex probabilistic models with simple algorithms Y Raykov Aston University, 2017 | 3 | 2017 |
| Principled machine learning YP Raykov, D Saad IEEE Journal of Selected Topics in Quantum Electronics 28 (4: Mach. Learn …, 2022 | 2 | 2022 |
| Probabilistic modelling of gait for remote passive monitoring applications YP Raykov, LJW Evers, R Badawy, MJ Faber, BR Bloem, K Claes, ... arXiv preprint arXiv:1812.02585, 2018 | 2 | 2018 |
| MAP for Exponential Family Dirichlet Process Mixture Models YP Raykov, A Boukouvalas, MA Little | 2 | 2015 |
| TSDF: A simple yet comprehensive, unified data storage and exchange format standard for digital biosensor data in health applications K Claes, V Ticcinelli, R Badawy, YP Raykov, LJW Evers, MA Little arXiv preprint arXiv:2211.11294, 2022 | 1 | 2022 |
| Adaptive probabilistic principal component analysis A Farooq, YP Raykov, L Evers, MA Little https://arxiv.org/abs/1905.11010, 2018 | 1 | 2018 |
