| The origins and vulnerabilities of two transmissible cancers in Tasmanian devils MR Stammnitz, THH Coorens, KC Gori, D Hayes, B Fu, J Wang, ... Cancer cell 33 (4), 607-619. e15, 2018 | 103 | 2018 |
| Structural variation detection from next generation sequencing K Ye, G Hall, Z Ning Journal of Next Generation Sequencing & Applications 1 (007), 2016 | 38 | 2016 |
| On the impact of the cutoff time on the performance of algorithm configurators GT Hall, PS Oliveto, D Sudholt Proceedings of the Genetic and Evolutionary Computation Conference, 907-915, 2019 | 14 | 2019 |
| Analysis of the performance of algorithm configurators for search heuristics with global mutation operators GT Hall, PS Oliveto, D Sudholt Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 823-831, 2020 | 12 | 2020 |
| Fast perturbative algorithm configurators GT Hall, PS Oliveto, D Sudholt Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 9 | 2020 |
| On the impact of the performance metric on efficient algorithm configuration GT Hall, PS Oliveto, D Sudholt Artificial Intelligence 303, 103629, 2022 | 5 | 2022 |
| Short-term treatment with rho-associated kinase inhibitor preserves keratinocyte stem cell characteristics in vitro V Jayarajan, GT Hall, T Xenakis, N Bulstrode, D Moulding, S Castellano, ... Cells 12 (3), 346, 2023 | 3 | 2023 |
| Dawnn: single-cell differential abundance with neural networks GT Hall, S Castellano bioRxiv, 2023.05. 05.539427, 2023 | | 2023 |
| A Framework for the Runtime Analysis of Algorithm Configurators GT Hall University of Sheffield, 2021 | | 2021 |
Pietro S. OlivetoProfessor of Computer Science, Chair in Algorithms, The University of SheffieldVerified email at sheffield.ac.uk
