Eric W Bridgeford
Small-world propensity and weighted brain networks
SF Muldoon, EW Bridgeford, DS Bassett
Scientific reports 6 (1), 22057, 2016
On a two-truths phenomenon in spectral graph clustering
CE Priebe, Y Park, JT Vogelstein, JM Conroy, V Lyzinski, M Tang, ...
Proceedings of the National Academy of Sciences 116 (13), 5995-6000, 2019
A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis
R Lawrence, A Loftus, G Kiar, EW Bridgeford, WG Roncal, ...
bioRxiv, 2021.11. 01.466686, 2021
A community-developed open-source computational ecosystem for big neuro data
JT Vogelstein, E Perlman, B Falk, A Baden, W Gray Roncal, ...
Nature methods 15 (11), 846-847, 2018
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics
EW Bridgeford, S Wang, Z Wang, T Xu, C Craddock, J Dey, G Kiar, ...
PLoS computational biology 17 (9), e1009279, 2021
Geometric Dimensionality Reduction for Subsequent Classi-fication
JT Vogelstein, E Bridgeford, M Tang, D Zheng, R Burns, M Maggioni
Nature Communications 1050, 21, 2018
Standardizing human brain parcellations
RM Lawrence, EW Bridgeford, PE Myers, GC Arvapalli, ...
Scientific data 8 (1), 78, 2021
Graspy: Graph statistics in python
J Chung, BD Pedigo, EW Bridgeford, BK Varjavand, HS Helm, ...
Journal of Machine Learning Research 20 (158), 1-7, 2019
Discovering and deciphering relationships across disparate data modalities
JT Vogelstein, EW Bridgeford, Q Wang, CE Priebe, M Maggioni, C Shen
Elife 8, e41690, 2019
Statistical connectomics
J Chung, E Bridgeford, J Arroyo, BD Pedigo, A Saad-Eldin, ...
Annual Review of Statistics and Its Application 8, 463-492, 2021
Connectal coding: discovering the structures linking cognitive phenotypes to individual histories
JT Vogelstein, EW Bridgeford, BD Pedigo, J Chung, K Levin, B Mensh, ...
Current opinion in neurobiology 55, 199-212, 2019
mgcpy: A comprehensive high dimensional independence testing python package
S Panda, S Palaniappan, J Xiong, A Swaminathan, S Ramachandran, ...
URL http://arxiv. org/abs/1907.02088 8, 2019
Vertex nomination: The canonical sampling and the extended spectral nomination schemes
J Yoder, L Chen, H Pao, E Bridgeford, K Levin, DE Fishkind, C Priebe, ...
Computational Statistics & Data Analysis 145, 106916, 2020
ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences
T Xu, G Kiar, JW Cho, EW Bridgeford, A Nikolaidis, JT Vogelstein, ...
Nature Methods 20 (7), 1025-1028, 2023
Statistical analysis of data repeatability measures
Z Wang, E Bridgeford, S Wang, JT Vogelstein, B Caffo
arXiv preprint arXiv:2005.11911, 2020
Small-world propensity and weighted brain networks. Sci. Rep. 6, 1–13
SF Muldoon, EW Bridgeford, DS Bassett
Consortium for Reliability and Reproducibility (CoRR)
G Kiar, EW Bridgeford, WG Roncal
Chandrashekhar, V., Mhembere, D., Ryman, S., Zuo, X., Marguiles, D …, 2018
Diagnosing Data Analytic Problems in the Classroom
RD Peng, A Chen, E Bridgeford, JT Leek, SC Hicks
Journal of Statistics and Data Science Education 29 (3), 267-276, 2021
The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match
DE Fishkind, F Parker, H Sawczuk, L Meng, E Bridgeford, A Athreya, ...
Applied Network Science 6 (1), 62, 2021
Why do networks have inhibitory/negative connections?
Q Wang, MA Powell, A Geisa, E Bridgeford, CE Priebe, JT Vogelstein
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20