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researcher

Javier S. Turek

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.CL1
  • cs.SE1
ORCID 0000-0003-4027-1529

identity via Semantic Scholar / OpenAlex

most citedA Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation

22 citations · 33 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 1 cited

Humans and language models diverge when predicting repeating text

Aditya R. Vaidya, Javier Turek, Alexander G. Huth

Language models that are trained on the next-word prediction task have been shown to accurately model human behavior in word prediction and reading speed. In contrast with these fi…

cs.SE2023★ 4 cited

Large Language Models Based Automatic Synthesis of Software Specifications

Shantanu Mandal, Adhrik Chethan, Vahid Janfaza +5

Software configurations play a crucial role in determining the behavior of software systems. In order to ensure safe and error-free operation, it is necessary to identify the corre…

stat.ML2016★ 6 cited

A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis

Hejia Zhang, Po-Hsuan Chen, Janice Chen +5

There is a growing interest in joint multi-subject fMRI analysis. The challenge of such analysis comes from inherent anatomical and functional variability across subjects. One appr…

stat.ML2016★ 22 cited

A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation

Po-Hsuan Chen, Xia Zhu, Hejia Zhang +5

Finding the most effective way to aggregate multi-subject fMRI data is a long-standing and challenging problem. It is of increasing interest in contemporary fMRI studies of human c…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.