Medindo o tamanho da caixinha de surpresas em ligas de futebol. - Raquel Y. S. Aoki; Renato M. Assunção; Pedro O. S. Vaz de Melo (SBBD, 2016)

Luck is Hard to Beat: The Difficulty of Sports Prediction. - Raquel Y. S. Aoki; Renato Martins Assunção; Pedro O. S. Vaz de Melo (KDD, 2017)

ParKCa: Causal Inference with Partially Known Causes. - Raquel Aoki; Martin Ester (PSB, 2021)

M3E2: Multi-gate Mixture-of-experts for Multi-treatment Effect Estimation. - Raquel Aoki; Yizhou Chen; Martin Ester (CoRR, 2021)

Causal Inference from Small High-dimensional Datasets. - Raquel Aoki; Martin Ester (CoRR, 2022)

Heterogeneous Multi-Task Learning With Expert Diversity. - Raquel Aoki; Frederick Tung; Gabriel L. Oliveira (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models. - Sadegh Mahdavi; Raquel Aoki; Keyi Tang; Yanshuai Cao (NeurIPS, 2024)

Counterfactual Explanations for Multivariate Time-Series without Training Datasets. - Xiangyu Sun; Raquel Aoki; Kevin H. Wilson (CoRR, 2024)

Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models. - Sadegh Mahdavi; Raquel Aoki; Keyi Tang; Yanshuai Cao (CoRR, 2024)

No $D_{train}$: Model-Agnostic Counterfactual Explanations Using Reinforcement Learning. - Xiangyu Sun; Raquel Aoki; Kevin H. Wilson (Trans. Mach. Learn. Res., 2025)