| Universal Dependencies 1.2 J Nivre, Ž Agić, MJ Aranzabe, M Asahara, A Atutxa, M Ballesteros, J Bauer, ... Universal Dependencies Consortium, 2015 | 247 | 2015 |
| Understanding optical music recognition J Calvo-Zaragoza, JH Jr, A Pacha ACM Computing Surveys (CSUR) 53 (4), 1-35, 2020 | 174 | 2020 |
| The MUSCIMA++ dataset for handwritten optical music recognition J Hajič, P Pecina 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 86 | 2017 |
| A baseline for general music object detection with deep learning A Pacha, J Hajič Jr, J Calvo-Zaragoza Applied Sciences 8 (9), 1488, 2018 | 71 | 2018 |
| Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification. M Dorfer, J Hajic Jr, A Arzt, H Frostel, G Widmer Trans. Int. Soc. Music. Inf. Retr. 1 (1), 22-31, 2018 | 62 | 2018 |
| Parsing Universal Dependency Treebanks Using Neural Networks and Search-Based Oracle M Straka, J Hajic, J Straková, J Hajic jr International Workshop on Treebanks and Linguistic Theories (TLT14), 208, 2014 | 58 | 2014 |
| Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets J Hajič jr., M Dorfer, G Widmer, P Pecina International Society for Music Information Retrieval 19, 2018 | 41 | 2018 |
| Creating annotated resources for polarity classification in Czech. K Veselovská, J Hajic, J Sindlerová KONVENS, 296-304, 2012 | 30 | 2012 |
| Learning Notation Graph Construction for Full-Pipeline Optical Music Recognition. A Pacha, J Calvo-Zaragoza, J Hajic Jr ISMIR, 75-82, 2019 | 27 | 2019 |
| Detecting noteheads in handwritten scores with convnets and bounding box regression J Hajič Jr, P Pecina arXiv preprint arXiv:1708.01806, 2017 | 23 | 2017 |
| Further Steps towards a Standard Testbed for Optical Music Recognition J Hajič jr, J Novotný, P Pecina, J Pokorný Proceedings of the 17th International Society for Music Information …, 2016 | 19 | 2016 |
| In search of a dataset for handwritten optical music recognition: Introducing MUSCIMA++ P Pecina arXiv preprint arXiv:1703.04824, 2017 | 16 | 2017 |
| How current optical music recognition systems are becoming useful for digital libraries J Hajič jr., M Kolárová, A Pacha, J Calvo-Zaragoza Proceedings of the 5th International Conference on Digital Libraries for …, 2018 | 11 | 2018 |
| Subjectivity lexicon for Czech: Implementation and improvements K Veselovská, J Hajiç, J Šindlerová Journal for Language Technology and Computational Linguistics 29 (1), 47-61, 2014 | 11 | 2014 |
| Melody extraction using a harmonic convolutional neural network J Balhar, J Hajic jr Proc. Int. Soc. Music Inf. Retriev. Conf, 1-4, 2019 | 9 | 2019 |
| Why words alone are not enough: Error analysis of lexicon-based polarity classifier for Czech K Veselovská, J Hajič Jr Proceedings of the 3rd Workshop on Sentiment Analysis where AI meets …, 2013 | 8 | 2013 |
| A case for intrinsic evaluation of optical music recognition J Hajič Jr | 5 | 2018 |
| On the potential of fully convolutional neural networks for musical symbol detection M Dorfer, J Hajič, G Widmer 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 5 | 2017 |
| Prototyping full-pipeline optical music recognition with musicimarker J Hajic jr, M Dorfer The 18th International Society for Music Information Retrieval Conference, 2017 | 5 | 2017 |
| Tracing Sentiments: Syntactic and Semantic Features in a Subjectivity Lexicon J Šindlerová, K Veselovská, J Hajič jr Proceedings of the XVI EURALEX International Congress: The User in Focus, 2014 | 5 | 2014 |
Pavel PecinaCharles UniversityVerified email at ufal.mff.cuni.cz
