Recognition of handwritten mathematical expressions (HMEs) has attracted growing interest
due to steady progress in handwriting recognition techniques and the rapid emergence of …

Context: Many scientific and technical literature documents contain MSs and MEs that are
more challenging to be recognized by computers than plain text. The recognition of HMSE …

Tools based on machine learning (ML) have seen widespread application in the prediction
and categorization of mathematical symbols and phrases. The purpose of this work is to …

Automatic recognition of mathematical expressions is a challenging pattern recognition
problem since there are many ambiguities at different levels. On the one hand, the …

With the advent and advancement of machine learning and deep learning techniques,
machine-based recognition systems for mathematical text have captivated the attention of …

Handwritten mathematical expressions are an essential part of many domains, including
education, engineering, and science. The pervasive availability of computationally powerful …

In this paper, we have addressed the problem of automated performance evaluation of
Mathematical Expression (ME) recognition. Automated evaluation requires that recognition …

Mathematical expression recognition is an active research field that is related to document
image analysis and typesetting. In this study, we present a novel global performance …

Resolving ambiguity within mathematical symbols is essential for recognition of
mathematical expressions. In this paper, we focus on the resolving ambiguities in …

論文審査要旨 (600~ 700 文字) 本論文は, 学校での数学の試験採点の効率と質を向上させるため
の複数のアプローチを提案している. 最初に, 採点者による採点を支援するための手書き数式解答の …