Joseph Ramsey

Joseph Ramsey

Carnegie Mellon University

H-index: 28

North America-United States

About Joseph Ramsey

Joseph Ramsey, With an exceptional h-index of 28 and a recent h-index of 23 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Artificial Intelligence, Neuroscience.

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

Causal-learn: Causal discovery in python

Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees

Py-Tetrad and RPy-Tetrad: A New Python Interface with R Support for Tetrad Causal Search

Representation and Retrieval of Brain Connectivity Information derived from TMS Experiments

Greedy relaxations of the sparsest permutation algorithm

Causal discovery for observational sciences using supervised machine learning

Improving accuracy of permutation DAG search using best order score search

Fritl: A hybrid method for causal discovery in the presence of latent confounders

Joseph Ramsey Information

University

Position

___

Citations(all)

5403

Citations(since 2020)

2776

Cited By

3793

hIndex(all)

28

hIndex(since 2020)

23

i10Index(all)

44

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Joseph Ramsey Skills & Research Interests

Artificial Intelligence

Neuroscience

Top articles of Joseph Ramsey

Causal-learn: Causal discovery in python

Journal of Machine Learning Research

2024

Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees

Advances in Neural Information Processing Systems

2023/12/15

Joseph Ramsey
Joseph Ramsey

H-Index: 20

Erich Kummerfeld
Erich Kummerfeld

H-Index: 7

Py-Tetrad and RPy-Tetrad: A New Python Interface with R Support for Tetrad Causal Search

2023/11/20

Joseph Ramsey
Joseph Ramsey

H-Index: 20

Representation and Retrieval of Brain Connectivity Information derived from TMS Experiments

bioRxiv

2023/1/22

Greedy relaxations of the sparsest permutation algorithm

2022/8/17

Joseph Ramsey
Joseph Ramsey

H-Index: 20

Causal discovery for observational sciences using supervised machine learning

arXiv preprint arXiv:2202.12813

2022/2/25

Improving accuracy of permutation DAG search using best order score search

arXiv preprint arXiv:2108.10141

2021/8/17

Fritl: A hybrid method for causal discovery in the presence of latent confounders

arXiv preprint arXiv:2103.14238

2021/3/26

Affect, Support, and Personal Factors: Multimodal Causal Models of One-on-One Coaching.

Journal of Educational Data Mining

2021

Joseph Ramsey
Joseph Ramsey

H-Index: 20

Artur Dubrawski
Artur Dubrawski

H-Index: 15

Diagnosis of autism spectrum disorder by causal influence strength learned from resting-state fMRI data

2021/1/1

Causal discovery from heterogeneous/nonstationary data

Journal of Machine Learning Research

2020

Algcomparison: Comparing the performance of graphical structure learning algorithms with tetrad

Journal of Machine Learning Research

2020

See List of Professors in Joseph Ramsey University(Carnegie Mellon University)