R. Zanibbi and D. Blostein, Recognition and retrieval of mathematical expressions, International Journal on Document Analysis and Recognition (IJDAR), vol.8, issue.11, pp.331-357, 2012.
DOI : 10.1007/s10032-011-0174-4

R. Zanibbi, H. Mouchère, and C. Viard-gaudin, Evaluating structural pattern recognition for handwritten math via primitive label graphs, Document Recognition and Retrieval XX, 2013.
DOI : 10.1117/12.2008409

URL : https://hal.archives-ouvertes.fr/hal-00852866

J. Stria, M. Bresler, D. Pr??a, and V. Hlavá?, MfrDB: Database of Annotated On-Line Mathematical Formulae, 2012 International Conference on Frontiers in Handwriting Recognition, pp.540-545, 2012.
DOI : 10.1109/ICFHR.2012.231

J. Stria and D. Pr??a, Web Application for Recognition of Mathematical Formulas, Proc. 11th Conf. on Theory and Practice of Information Technologies Vrátna dolina, Slovak Republic, pp.47-54, 2011.

A. D. Le and M. Nakagawa, A tool for ground-truthing online handwritten mathematical expressions, Proc. 16th International Graphonomics Society Conference (IGS), 2013.

B. Zhu, J. Gao, and M. Nakagawa, Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japanese Text Recognition, 2011 International Conference on Document Analysis and Recognition, pp.594-599, 2011.
DOI : 10.1109/ICDAR.2011.125

R. Zanibbi, D. Blostein, and J. R. Cordy, Recognizing mathematical expressions using tree transformation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.11, p.2414551467, 2002.
DOI : 10.1109/TPAMI.2002.1046157

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.5969

F. D. Aguilar and N. S. Hirata, ExpressMatch: a system for creating ground-truthed datasets of online mathematical expressions Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models, Proc. 9th IAPR International Workshop on Document Analysis Systems (DAS), 2012. [11] Pattern Rec. Letters, 2012.

L. Hu and R. Zanibbi, Segmenting Handwritten Math Symbols Using AdaBoost and Multi-scale Shape Context Features, 2013 12th International Conference on Document Analysis and Recognition
DOI : 10.1109/ICDAR.2013.239

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.352.9478

R. E. Schapire and Y. Freund, Boosting: Foundations and Algorithms, 2012.

Y. Eto and M. Suzuki, Mathematical formula recognition using virtual link network, Proceedings of Sixth International Conference on Document Analysis and Recognition, pp.762-767, 2001.
DOI : 10.1109/ICDAR.2001.953891

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.5697

M. Celik and B. Yanikoglu, Probabilistic Mathematical Formula Recognition Using a 2D Context-Free Graph Grammar, 2011 International Conference on Document Analysis and Recognition, pp.161-166, 2011.
DOI : 10.1109/ICDAR.2011.41

A. Awal, H. Mouchère, and C. Viard-gaudin, A global learning approach for an online handwritten mathematical expression recognition system, Pattern Recognition Letters, 2012.
DOI : 10.1016/j.patrec.2012.10.024

URL : https://hal.archives-ouvertes.fr/hal-00756637

A. Awal, G. Feng, G. , and H. , Mouchère and C. Viard-Gaudin, First Experiments on a new Online Handwritten Flowchart Database, Proc. Document Recognition and Retrieval XVIII, 2011.

S. Maclean, G. Labahn, E. Lank, M. Marzouk, and D. Tausky, Grammar-based techniques for creating ground-truthed sketch corpora, International Journal on Document Analysis and Recognition (IJDAR), vol.24, issue.11, pp.1-21, 2011.
DOI : 10.1007/s10032-010-0118-4

F. D. Aguilar and N. S. Hirata, ExpressMatch: A System for Creating Ground-Truthed Datasets of Online Mathematical Expressions, 2012 10th IAPR International Workshop on Document Analysis Systems, pp.155-159, 2012.
DOI : 10.1109/DAS.2012.38