| Twitter Sentiment Analysis Using Deep Convolutional Neural Network D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski International Conference on Hybrid Artificial Intelligence Systems, 726-737, 2015 | 84 | 2015 |
| Deep neural network architecture for sentiment analysis and emotion identification of Twitter messages D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski, I Chorbev Multimedia Tools and Applications 77, 32213-32242, 2018 | 54 | 2018 |
| Hand gesture recognition using deep convolutional neural networks G Strezoski, D Stojanovski, I Dimitrovski, G Madjarov ICT Innovations 2016: Cognitive Functions and Next Generation ICT Systems, 49-58, 2018 | 39 | 2018 |
| Finki at semeval-2016 task 4: Deep learning architecture for twitter sentiment analysis D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski Proceedings of the 10th International workshop on semantic evaluation …, 2016 | 36 | 2016 |
| Coreference and coherence in neural machine translation: A study using oracle experiments D Stojanovski, A Fraser Proceedings of the Third Conference on Machine Translation: Research Papers …, 2018 | 35 | 2018 |
| Reusing a pretrained language model on languages with limited corpora for unsupervised nmt A Chronopoulou, D Stojanovski, A Fraser arXiv preprint arXiv:2009.07610, 2020 | 27 | 2020 |
| Improving anaphora resolution in neural machine translation using curriculum learning D Stojanovski, A Fraser Proceedings of Machine Translation Summit XVII: Research Track, 140-150, 2019 | 26 | 2019 |
| Tweetviz: Twitter data visualization D Stojanovski, I Dimitrovski, G Madjarov Proceedings of the data mining and data warehouses, 2014 | 22 | 2014 |
| Improving the lexical ability of pretrained language models for unsupervised neural machine translation A Chronopoulou, D Stojanovski, A Fraser arXiv preprint arXiv:2103.10531, 2021 | 20 | 2021 |
| Emotion identification in FIFA world cup tweets using convolutional neural network D Stojanovski, G Strezoski, G Madjarov, I Dimitrovski 2015 11th International Conference on Innovations in Information Technology …, 2015 | 18 | 2015 |
| ContraCAT: Contrastive coreference analytical templates for machine translation D Stojanovski, B Krojer, D Peskov, A Fraser Proceedings of the 28th International Conference on Computational …, 2020 | 13 | 2020 |
| Social networks VGI: Twitter sentiment analysis of social hotspots D Stojanovski, I Chorbev, I Dimitrovski, G Madjarov European Handbook of crowdsourced geographic information, 2016 | 12 | 2016 |
| Lmu munich’s neural machine translation systems at wmt 2018 M Huck, D Stojanovski, V Hangya, A Fraser Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018 | 10 | 2018 |
| Language-family adapters for low-resource multilingual neural machine translation A Chronopoulou, D Stojanovski, A Fraser arXiv preprint arXiv:2209.15236, 2022 | 9 | 2022 |
| Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19 AF Dario Stojanovski Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 9 | 2019 |
| The LMU munich unsupervised machine translation system for WMT19 D Stojanovski, V Hangya, M Huck, A Fraser Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 9 | 2019 |
| Addressing zero-resource domains using document-level context in neural machine translation D Stojanovski, A Fraser arXiv preprint arXiv:2004.14927, 2020 | 6 | 2020 |
| Language-family adapters for multilingual neural machine translation A Chronopoulou, D Stojanovski, A Fraser arXiv preprint arXiv:2209.15236, 2022 | 5 | 2022 |
| The LMU Munich system for the WMT 2020 unsupervised machine translation shared task A Chronopoulou, D Stojanovski, V Hangya, A Fraser arXiv preprint arXiv:2010.13192, 2020 | 5 | 2020 |
| Improving machine translation of rare and unseen word senses V Hangya, Q Liu, D Stojanovski, A Fraser, A Korhonen Proceedings of the Sixth Conference on Machine Translation, 614-624, 2021 | 4 | 2021 |
Alexander FraserTechnical University of Munich, Munich Center for Machine Learning在 tum.de 的电子邮件经过验证
