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A neural approach for detecting inline mathematical expressions from scientific documents

  • Published:2020-05-19 Issue:4 Volume:38 Page:
  • ISSN:0266-4720
  • Container-title:Expert Systems
  • language:en
  • Short-container-title:Expert Systems

Author:

Madisetty Sreekanth1ORCID,Maurya Kaushal Kumar1,Aizawa Akiko2,Desarkar Maunendra Sankar1ORCID

Affiliation:

1. Department of Computer Science and Engineering Indian Institute of Technology Hyderabad Hyderabad Telangana 502285 India

2. National Institute of Informatics The University of Tokyo Tokyo Japan

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using FCOS and an Encoder-Decoder Model to Detect and Recognize Visual Mathematical Equations;Proceedings of the 2024 9th International Conference on Multimedia and Image Processing;2024-04-20

2. An optimized neural Network-based character recognition and relation finding for mathematical expression images;Multimedia Tools and Applications;2023-12-15

3. Scientific document processing: challenges for modern learning methods;International Journal on Digital Libraries;2023-03-24

4. A dive in white and grey shades of ML and non-ML literature: a multivocal analysis of mathematical expressions;Artificial Intelligence Review;2022-12-06

5. A cascaded approach for page-object detection in scientific papers;Proceedings of the 22nd ACM Symposium on Document Engineering;2022-09-20
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