Yordan Raykov
Title
Cited by
Cited by
Year
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
1202016
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 andá…, 2016
822016
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
362017
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
252019
Simple approximate MAP inference for Dirichlet processes mixtures
YP Raykov, A Boukouvalas, MA Little
Electronic Journal of Statistics 10 (2), 3548-3578, 2016
23*2016
Estimating a number of occupants in a region
YP Raykov, E Ízer, GS Dasika
US Patent 10,607,147, 2020
122020
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
112018
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
82021
Real-life gait performance as a digital biomarker for motor fluctuations: The Parkinson@ Home validation study
LJW Evers, YP Raykov, JH Krijthe, ALS De Lima, R Badawy, K Claes, ...
Journal of medical Internet research 22 (10), e19068, 2020
72020
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 andá…, 2019
62019
Iterative collapsed MAP inference for Bayesian nonparametrics
YP Raykov, A Boukouvalas, MA Little
NIPS 2015 Workshop on Bayesian Nonparametrics: The Next Generation, 2015
42015
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
22021
A deterministic inference framework for discrete nonparametric latent variable models: learning complex probabilistic models with simple algorithms
Y Raykov
Aston University, 2017
22017
MAP for Exponential Family Dirichlet Process Mixture Models
YP Raykov, A Boukouvalas, MA Little
22015
Probabilistic modelling for unsupervised analysis of human behaviour in smart cities
Y Qarout, YP Raykov, MA Little
Sensors 20 (3), 784, 2020
12020
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
12018
Adaptive probabilistic principal component analysis
A Farooq, YP Raykov, L Evers, MA Little
https://arxiv.org/abs/1905.11010, 2018
1*2018
Few-shot time series segmentation using prototype-defined infinite hidden Markov models
Y Qarout, YP Raykov, MA Little
arXiv preprint arXiv:2102.03885, 2021
2021
Probabilistic Modelling for Unsupervised Analysis of Human Behaviour in Smart Cities
Y Qarout, YP Raykov, MA Little
Engineering Proceedings 6 (1), 35, 2021
2021
Controlling for sparsity in sparse factor analysis models: adaptive latent feature sharing for piecewise linear dimensionality reduction
A Farooq, YP Raykov, P Raykov, MA Little
arXiv preprint arXiv:2006.12369, 2020
2020
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Articles 1–20