| Maximizing neotissue growth kinetics in a perfusion bioreactor: an in silico strategy using model reduction and Bayesian optimization M Mehrian, Y Guyot, I Papantoniou, S Olofsson, M Sonnaert, R Misener, ... Biotechnology and bioengineering 115 (3), 617-629, 2018 | 45 | 2018 |
| Bayesian multiobjective optimisation with mixed analytical and black-box functions: application to tissue engineering S Olofsson, M Mehrian, R Calandra, L Geris, MP Deisenroth, R Misener IEEE Transactions on Biomedical Engineering 66 (3), 727-739, 2018 | 35 | 2018 |
| GPdoemd: A Python package for design of experiments for model discrimination S Olofsson, L Hebing, S Niedenführ, MP Deisenroth, R Misener Computers & Chemical Engineering 125, 54-70, 2019 | 23 | 2019 |
| Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches S Olofsson, MP Deisenroth, R Misener ICML '18: Proceedings of the International Conference on Machine Learning …, 2018 | 9 | 2018 |
| Design of experiments for model discrimination using Gaussian process surrogate models S Olofsson, MP Deisenroth, R Misener Computer Aided Chemical Engineering 44, 847-852, 2018 | 8 | 2018 |
| Design of dynamic experiments for black-box model discrimination S Olofsson, ES Schultz, A Mhamdi, A Mitsos, MP Deisenroth, R Misener arXiv preprint arXiv:2102.03782, 2021 | 7 | 2021 |
| Improving Sensor Network Convergecast Performance with Directional Antennas. J Schandy, S Olofsson, L Steinfeld, T Voigt EWSN, 13-22, 2019 | 5 | 2019 |
| Improving sensor network performance with directional antennas: A cross-layer optimization J Schandy, S Olofsson, N Gammarano, L Steinfeld, T Voigt ACM Transactions on Sensor Networks (TOSN) 17 (4), 1-21, 2021 | 4 | 2021 |
| Bayesian Multi-Objective Optimisation of Neotissue Growth in a Perfusion Bioreactor Set-Up S Olofsson, M Mehrian, L Geris, R Calandra, MP Deisenroth, R Misener Computer Aided Chemical Engineering 40, 2155-2160, 2017 | 3 | 2017 |
| Satisfaction of path chance constraints in dynamic optimization problems ES Schultz, S Olofsson, A Mhamdi, A Mitsos Computers & Chemical Engineering 164, 107899, 2022 | 2 | 2022 |
| Gaussian processes for hybridisation of analytical and data-driven approaches for design of experiments S Olofsson Imperial College London, 2019 | 2 | 2019 |
| Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty S Olofsson, ES Schultz, A Mhamdi, A Mitsos, MP Deisenroth, R Misener arXiv preprint arXiv:2102.03782, 2021 | 1 | 2021 |
| Gaussian processes for hybridizing analytical & data-driven decision-making S Olofsson, J Wiebe, MP Deisenroth, R Misener 2018 AIChE Annual Meeting, 2018 | 1 | 2018 |
| Design of Dynamic Experiments for Model Discrimination Under Uncertainty Using Gaussian Process Surrogate Models S Olofsson, R Misener 2019 AIChE Annual Meeting, 2019 | | 2019 |
| Improving Sensor Network Convergecast Performance with Directional Antennas S Javier, S Olofsson, T Voigt, L Steinfeld International Conference on Embedded Wireless Systems and Networks (EWSN …, 2019 | | 2019 |
| GPdoemd: a python package for design of experiments for model discrimination using Gaussian process surrogates S Olofsson, R Misener arXiv preprint arXiv:1810.02561, 2018 | | 2018 |
| Probabilistic Feature Learning Using Gaussian Process Auto-Encoders S Olofsson | | 2016 |
| Bounds on the Lifetime of Wireless Sensor networks with Lossy Links and Directional Antennas JM Alonso, A Nordhamn, S Olofsson, T Voigt Wireless Network Performance Enhancement via Directional Antennas: Models …, 2015 | | 2015 |
