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

Long short-term memory networks (LSTM) achieve great success in temporal dependency
modeling for chain-structured data, such as texts and speeches. An extension toward more …

In this work, the approach for online recognition of 2D sequences using deep bidirectional
LSTM was proposed. One of the complex cases of online sequence recognition is …

Advances in deep learning end-to-end recognition systems allow moving forward intelligent
user interfaces. At the same time, they lead to new implications and restrictions in the UI …

Abstract Mathematical Information Retrieval (MIR) is a research area that focuses on the
Information Need (IN) of the Science, Technology, Engineering and Mathematics (STEM) …

Modern applications for handwritten mathematical expressions recognition are not limited to
single expression input and rather provide the possibility to input several expressions at …

As an appealing topic in pattern recognition, handwritten mathematical expression
recognition exhibits a big research challenge and underpins many practical applications …

369 ANÁLISIS DE LA CONCEPCIÓN DE UN BANCO DE PROBLEMAS EN LÍNEA
ALEATORIOS PARA LA EVALUACIÓN EN MATEMÁTICAS Page 1 369 ANÁLISIS DE LA …

Images have been used to express and convey information for so many years. Over the
years, the human visual cortex has adapted through the environments that we have lived in …

El reconocimiento automático de expresiones matemáticas es uno de los problemas de
reconocimiento de patrones, debido a que las matemáticas representan una fuente valiosa …