2D Image-Based Atrial Fibrillation Classification. - Felipe Meneguitti Dias; Nelson Samesima; Adèle Helena Ribeiro; Ramon Alfredo Moreno; Carlos Alberto Pastore; José Eduardo Krieger; Marco A. Gutierrez 001 (CinC, 2021)

Granger Causality among Graphs and Application to Functional Brain Connectivity in Autism Spectrum Disorder. - Adèle Helena Ribeiro; Maciel Calebe Vidal; João Ricardo Sato; André Fujita (Entropy, 2021)

Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness. - Amin Jaber; Adèle H. Ribeiro; Jiji Zhang; Elias Bareinboim (NeurIPS, 2022)

Effect Identification in Cluster Causal Diagrams. - Tara V. Anand; Adèle H. Ribeiro; Jin Tian 001; Elias Bareinboim (CoRR, 2022)

Causal Effect Identification in Cluster DAGs. - Tara V. Anand; Adèle H. Ribeiro; Jin Tian 001; Elias Bareinboim (AAAI, 2023)

Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program. - Martin Mundt; Keiland W. Cooper; Devendra Singh Dhami; Adèle H. Ribeiro; James Seale Smith; Alexis Bellot; Tyler L. Hayes (AAAI Bridge Program, 2023)

Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization. - Felipe Meneguitti Dias; Estela Ribeiro; Ramon Alfredo Moreno; Adèle Helena Ribeiro; Nelson Samesima; Carlos Alberto Pastore; José Eduardo Krieger; Marco A. Gutierrez 001 (IEEE Access, 2023)

Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets. - Tiago da Silva; Eliezer S. Silva; Adèle H. Ribeiro; António Góis; Dominik Heider; Samuel Kaski; Diego Mesquita (CoRR, 2023)

dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data. - Adèle H. Ribeiro; Dominik Heider (CoRR, 2025)