Adèle Helena Ribeiro

About Adèle Helena Ribeiro

Adèle Helena Ribeiro, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Causal Inference, Structure Learning, Statistical Genetics, Deep Learning, Computational Neuroscience.

His recent articles reflect a diverse array of research interests and contributions to the field:

Artificial Intelligence-Driven Screening System for Rapid Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization

Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets

Sharing Data With Shared Benefits: Artificial Intelligence Perspective

Continual causality: A retrospective of the inaugural aaai-23 bridge program

WHO DID WHAT TO WHOM

Causal Effect Identification in Cluster DAGs

Causal identification under markov equivalence: Calculus, algorithm, and completeness

Causal Inference and Data Fusion: Towards an Accelerated Process of Scientific Discovery

Adèle Helena Ribeiro Information

University

Position

Postdoctoral Researcher Data Science Institute

Citations(all)

59

Citations(since 2020)

45

Cited By

24

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Adèle Helena Ribeiro Skills & Research Interests

Causal Inference

Structure Learning

Statistical Genetics

Deep Learning

Computational Neuroscience

Top articles of Adèle Helena Ribeiro

Artificial Intelligence-Driven Screening System for Rapid Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization

Authorea Preprints

2023/10/31

Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets

arXiv preprint arXiv:2309.12032

2023/9/21

Sharing Data With Shared Benefits: Artificial Intelligence Perspective

Journal of Medical Internet Research

2023/8/29

Continual causality: A retrospective of the inaugural aaai-23 bridge program

2023/6/4

WHO DID WHAT TO WHOM

Book of Abstracts

2023

Causal Effect Identification in Cluster DAGs

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Causal identification under markov equivalence: Calculus, algorithm, and completeness

Advances in Neural Information Processing Systems

2022/12/6

Causal Inference and Data Fusion: Towards an Accelerated Process of Scientific Discovery

Columbia University

2022

2d image-based atrial fibrillation classification

2021/9/13

Granger Causality among Graphs and Application to Functional Brain Connectivity in Autism Spectrum Disorder

Entropy

2021/9/13

Learning genetic and environmental graphical models from family data

Statistics in Medicine

2020/4/28

See List of Professors in Adèle Helena Ribeiro University(Columbia University in the City of New York)

Co-Authors

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