| Model-based algorithm configuration with default-guided probabilistic sampling M Anastacio, H Hoos Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 8 | 2020 |
| Opening the black box: Automated software analysis for algorithm selection D Pulatov, M Anastacio, L Kotthoff, H Hoos International Conference on Automated Machine Learning, 6/1-18, 2022 | 6 | 2022 |
| Exact stochastic constraint optimisation with applications in network analysis ALD Latour, B Babaki, D Fokkinga, M Anastacio, HH Hoos, S Nijssen Artificial Intelligence 304, 103650, 2022 | 5 | 2022 |
| Statistical comparison of algorithm performance through instance selection T Matricon, M Anastacio, N Fijalkow, L Simon, HH Hoos 27th International Conference on Principles and Practice of Constraint …, 2021 | 5 | 2021 |
| Exploitation of default parameter values in automated algorithm configuration M Anastacio, C Luo, H Hoos Workshop Data Science meets Optimisation (DSO), IJCAI 138, 2019 | 5 | 2019 |
| Integration of sequence of computational modules dedicated to text analysis: a combinatory typed approach I Biskri, M Anastacio, A Joly, BA Bensaber The Twenty-Sixth International FLAIRS Conference, 2013 | 5 | 2013 |
| A typed applicative system for a language and text processing engineering I Biskri, M Anastacio, A Joly, BA Bensaber Journal of Innovation in Digital Ecosystems 1 (1-2), 26-37, 2014 | 4 | 2014 |
| Combining sequential model-based algorithm configuration with default-guided probabilistic sampling M Anastacio, HH Hoos Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 3 | 2020 |
| Programming a stochastic constraint optimisation algorithm, by optimisation D Fokkinga, ALD Latour, M Anastacio, S Nijssen, H Hoos Data Science Meets Optimisation Workshop in Conjunction with IJCAI, 2019 | 2 | 2019 |
| Construction de chaînes de traitement pour l'analyse de texte: une approche combinatoire typée M Anastacio Université du Québec à Trois-Rivières, 2015 | 2 | 2015 |
| Q (D) O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML LO Purucker, L Schneider, M Anastacio, J Beel, B Bischl, H Hoos International Conference on Automated Machine Learning, 10/1-34, 2023 | 1 | 2023 |
| Instance selection for configuration performance comparison M Anastacio, T Matricon, H Hoos ECMLPKDD Workshop on Meta-Knowledge Transfer, 11-23, 2022 | 1* | 2022 |
| Stochastic constraint optimisation with applications in network analysis ALD Latour, B Babaki, D Fokkinga, M Anastacio, H Hoos, S Nijssen WMC, 2020 | | 2020 |
| Text Processing Chains: Getting Help from Typed Applicative Systems M Anastacio, I Biskri The Twenty-Ninth International Flairs Conference, 2016 | | 2016 |
| Visualization and Automation in Data Science: Exploring the Paradox of Humans-in-the-Loop J Rogers, M Anastacio, J Bernard, M Chakhchoukh, R Faust, A Kerren, ... | | |
| Greybox Automated Algorithm Configuration M Anastacio | | |
