Marie Anastacio

Orcid: 0000-0002-4039-2470

According to our database1, Marie Anastacio authored at least 17 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Improving Evaluation of Recombination-based Cartesian Genetic Programming.
CoRR, May, 2026

Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
GraphBench: Next-generation graph learning benchmarking.
CoRR, December, 2025

On the Efficiency of Training Robust Decision Trees.
CoRR, July, 2025

TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024
Visualization and Automation in Data Science: Exploring the Paradox of Humans-in-the-Loop.
Proceedings of the IEEE Visualization in Data Science, 2024

2023
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
Exact stochastic constraint optimisation with applications in network analysis.
Artif. Intell., 2022

Challenges of Acquiring Compositional Inductive Biases via Meta-Learning.
Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

Opening the Black Box: Automated Software Analysis for Algorithm Selection.
Proceedings of the International Conference on Automated Machine Learning, 2022

2021
Greybox Algorithm Configuration.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Statistical Comparison of Algorithm Performance Through Instance Selection.
Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

2020
Model-Based Algorithm Configuration with Default-Guided Probabilistic Sampling.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Combining sequential model-based algorithm configuration with default-guided probabilistic sampling.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2016
Text Processing Chains: Getting Help from Typed Applicative Systems.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2014
A typed applicative system for a language and text processing engineering.
J. Innov. Digit. Ecosyst., 2014

2013
Integration of Sequence of Computational Modules Dedicated to Text Analysis: A Combinatory Typed Approach.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013


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