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20192023
most citedPredicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models

11 citations · 18 across the 7 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.DL2021

Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations

Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu +2

Electronic Theses and Dissertations (ETDs) contain domain knowledge that can be used for many digital library tasks, such as analyzing citation networks and predicting research tre…

cs.CV2021★ 1 cited

ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and Dissertations

Sampanna Yashwant Kahu, William A. Ingram, Edward A. Fox +1

We focus on electronic theses and dissertations (ETDs), aiming to improve access and expand their utility, since more than 6 million are publicly available, and they constitute an…

cs.CL2021

Extractive Research Slide Generation Using Windowed Labeling Ranking

Athar Sefid, Jian Wu, Prasenjit Mitra +1

Presentation slides describing the content of scientific and technical papers are an efficient and effective way to present that work. However, manually generating presentation sli…

cs.CV2021★ 3 cited

Document Domain Randomization for Deep Learning Document Layout Extraction

Meng Ling, Jian Chen, Torsten Möller +7

We present document domain randomization (DDR), the first successful transfer of convolutional neural networks (CNNs) trained only on graphically rendered pseudo-paper pages to rea…

cs.DL2021★ 11 cited

Predicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models

Jian Wu, Rajal Nivargi, Sree Sai Teja Lanka +8

In recent years, significant effort has been invested verifying the reproducibility and robustness of research claims in social and behavioral sciences (SBS), much of which has inv…