| Character-level neural network for biomedical named entity recognition M Gridach Journal of biomedical informatics 70, 85-91, 2017 | 228 | 2017 |
| Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... Medical image analysis 70, 102002, 2021 | 125 | 2021 |
| Character-aware neural networks for arabic named entity recognition for social media M Gridach Proceedings of the 6th workshop on South and Southeast Asian natural …, 2016 | 50 | 2016 |
| PyDiNet: Pyramid dilated network for medical image segmentation M Gridach Neural networks 140, 274-281, 2021 | 47 | 2021 |
| Empirical evaluation of word representations on Arabic sentiment analysis M Gridach, H Haddad, H Mulki Arabic Language Processing: From Theory to Practice: 6th International …, 2018 | 34 | 2018 |
| Arabic named entity recognition: A bidirectional GRU-CRF approach M Gridach, H Haddad Computational Linguistics and Intelligent Text Processing: 18th …, 2018 | 26 | 2018 |
| Churn identification in microblogs using convolutional neural networks with structured logical knowledge M Gridach, H Haddad, H Mulki Proceedings of the 3rd Workshop on Noisy User-generated Text, 21-30, 2017 | 26 | 2017 |
| Tw-star at semeval-2017 task 4: Sentiment classification of arabic tweets H Mulki, H Haddad, M Gridach, I Babaoğlu Proceedings of the 11th international workshop on semantic evaluation …, 2017 | 26 | 2017 |
| A framework based on (probabilistic) soft logic and neural network for NLP M Gridach Applied Soft Computing 93, 106232, 2020 | 25 | 2020 |
| Hybrid deep neural networks for recommender systems M Gridach Neurocomputing 413, 23-30, 2020 | 20 | 2020 |
| Deep learning approach for arabic named entity recognition M Gridach Computational Linguistics and Intelligent Text Processing: 17th …, 2018 | 20 | 2018 |
| Developing a new system for Arabic morphological analysis and generation M Gridach, N Chenfour Proceedings of the 2nd Workshop on South Southeast Asian Natural Language …, 2011 | 19 | 2011 |
| Developing a new approach for arabic morphological analysis and generation M Gridach, N Chenfour arXiv preprint arXiv:1101.5494, 2011 | 17 | 2011 |
| Syntax-ignorant N-gram embeddings for sentiment analysis of Arabic dialects H Mulki, H Haddad, M Gridach, I Babaoğlu Proceedings of the Fourth Arabic Natural Language Processing Workshop, 30-39, 2019 | 14 | 2019 |
| OXENDONET: A DILATED CONVOLUTIONAL NEURAL NETWORKS FOR ENDOSCOPIC ARTEFACT SEGMENTATION M Gridach, I Voiculescu IEEE International Symposium on Biomedical Imaging, 2020 | 11 | 2020 |
| A translational pathway of deep learning methods in gastrointestinal endoscopy S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ... arXiv preprint arXiv:2010.06034 5 (6), 7, 2020 | 7 | 2020 |
| Empirical evaluation of leveraging named entities for Arabic sentiment analysis H Mulki, H Haddad, M Gridach, I Babaoglu arXiv preprint arXiv:1904.10195, 2019 | 7 | 2019 |
| XMODEL: An XML-based Morphological Analyzer for Arabic Language M Gridach, N Chenfour International Journal of Computational Linguistics 1 (2), 12-26, 2010 | 7 | 2010 |
| Syntax-ignorant N-gram embeddings for dialectal Arabic sentiment analysis H Mulki, H Haddad, M Gridach, I Babaoğlu Natural Language Engineering, 1-24, 2020 | 5 | 2020 |
| Dopnet: densely oriented pooling network for medical image segmentation M Gridach, I Voiculescu 2021 IEEE 18th international symposium on biomedical imaging (ISBI), 1714-1717, 2021 | 4 | 2021 |
İsmail BabaoğluDept. Of. Computer Engineering, Ph.D., Konya Technical UniversityVerified email at ktun.edu.tr
