Marie Anastacio

18 papers A* 2A 1Misc 2Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series.
AAAI
Erfan Moeini, Christopher Vox, Marie Anastacio, Wadie Skaf, Mitra Baratchi, Holger H. Hoos
2025 J jnl
GraphBench: Next-generation graph learning benchmarking.
CoRR
Timo Stoll, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Antoine Siraudin, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris
2025 J jnl
On the Efficiency of Training Robust Decision Trees.
CoRR
Benedict Gerlach, Marie Anastacio, Holger H. Hoos
2025 — conf
TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming.
GECCO Companion
Roman Kalkreuth, Fabrício Olivetti de França, Anja Jankovic, Marie Anastacio, Julian Dierkes, Zdenek Vasícek, Holger H. Hoos
2025 J jnl
TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming.
CoRR
Roman Kalkreuth, Fabrício Olivetti de França, Julian Dierkes, Marie Anastacio, Anja Jankovic, Zdenek Vasícek, Holger H. Hoos
2024 — conf
Visualization and Automation in Data Science: Exploring the Paradox of Humans-in-the-Loop.
VDS@VIS
Jen Rogers, Marie Anastacio, Jürgen Bernard, Mehdi Chakhchoukh, Rebecca Faust, Andreas Kerren, Steffen Koch, Lars Kotthoff, Cagatay Turkay, Emily Wall
2023 — conf
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML.
AutoML
Lennart Oswald Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
2023 J jnl
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML.
CoRR
Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger H. Hoos
2022 — conf
Challenges of Acquiring Compositional Inductive Biases via Meta-Learning.
Meta-Knowledge Transfer @ ECML/PKDD
Marie Anastacio, Théo Matricon, Holger H. Hoos
2022 J jnl
Exact stochastic constraint optimisation with applications in network analysis.
Artif. Intell.
Anna L. D. Latour, Behrouz Babaki, Daniël Fokkinga, Marie Anastacio, Holger H. Hoos, Siegfried Nijssen
2022 — conf
Opening the Black Box: Automated Software Analysis for Algorithm Selection.
AutoML
Damir Pulatov, Marie Anastacio, Lars Kotthoff, Holger H. Hoos
2021 A* conf
Greybox Algorithm Configuration.
IJCAI
Marie Anastacio
2021 A conf
Statistical Comparison of Algorithm Performance Through Instance Selection.
CP
Théo Matricon, Marie Anastacio, Nathanaël Fijalkow, Laurent Simon, Holger H. Hoos
2020 — conf
Combining sequential model-based algorithm configuration with default-guided probabilistic sampling.
GECCO Companion
Marie Anastacio, Holger H. Hoos
2020 — conf
Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling.
PPSN (1)
Marie Anastacio, Holger H. Hoos
2016 Misc conf
Text Processing Chains: Getting Help from Typed Applicative Systems.
FLAIRS
Marie Anastacio, Ismaïl Biskri
2014 J jnl
A typed applicative system for a language and text processing engineering.
J. Innov. Digit. Ecosyst.
Ismaïl Biskri, Marie Anastacio, Adam Joly, Boucif Amar Bensaber
2013 Misc conf
Integration of Sequence of Computational Modules Dedicated to Text Analysis: A Combinatory Typed Approach.
FLAIRS
Ismaïl Biskri, Marie Anastacio, Adam Joly, Boucif Amar Bensaber