Integration of Sequence of Computational Modules Dedicated to Text Analysis: A Combinatory Typed Approach. - Ismaïl Biskri; Marie Anastacio; Adam Joly; Boucif Amar Bensaber (FLAIRS, 2013)

A typed applicative system for a language and text processing engineering. - Ismaïl Biskri; Marie Anastacio; Adam Joly; Boucif Amar Bensaber (J. Innov. Digit. Ecosyst., 2014)

Text Processing Chains: Getting Help from Typed Applicative Systems. - Marie Anastacio; Ismaïl Biskri (FLAIRS, 2016)

Combining sequential model-based algorithm configuration with default-guided probabilistic sampling. - Marie Anastacio; Holger H. Hoos (GECCO Companion, 2020)

Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling. - Marie Anastacio; Holger H. Hoos (PPSN (1), 2020)

Statistical Comparison of Algorithm Performance Through Instance Selection. - Théo Matricon; Marie Anastacio; Nathanaël Fijalkow; Laurent Simon 001; Holger H. Hoos (CP, 2021)

Greybox Algorithm Configuration. - Marie Anastacio (IJCAI, 2021)

Opening the Black Box: Automated Software Analysis for Algorithm Selection. - Damir Pulatov; Marie Anastacio; Lars Kotthoff; Holger H. Hoos (AutoML, 2022)

Challenges of Acquiring Compositional Inductive Biases via Meta-Learning. - Marie Anastacio; Théo Matricon; Holger H. Hoos (Meta-Knowledge Transfer @ ECML/PKDD, 2022)

Exact stochastic constraint optimisation with applications in network analysis. - Anna L. D. Latour; Behrouz Babaki; Daniël Fokkinga; Marie Anastacio; Holger H. Hoos; Siegfried Nijssen (Artif. Intell., 2022)

Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML. - Lennart Oswald Purucker; Lennart Schneider; Marie Anastacio; Joeran Beel; Bernd Bischl; Holger H. Hoos (AutoML, 2023)

Visualization and Automation in Data Science: Exploring the Paradox of Humans-in-the-Loop. - Jen Rogers; Marie Anastacio; Jürgen Bernard; Mehdi Chakhchoukh; Rebecca Faust; Andreas Kerren; Steffen Koch 001; Lars Kotthoff; Cagatay Turkay; Emily Wall 001 (VDS@VIS, 2024)

TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming. - Roman Kalkreuth; Fabrício Olivetti de França; Julian Dierkes; Marie Anastacio; Anja Jankovic 003; Zdenek Vasícek; Holger H. Hoos (CoRR, 2025)

On the Efficiency of Training Robust Decision Trees. - Benedict Gerlach; Marie Anastacio; Holger H. Hoos (CoRR, 2025)