| Spark NLP: natural language understanding at scale V Kocaman, D Talby Software Impacts 8, 100058, 2021 | 67 | 2021 |
| Biomedical named entity recognition at scale V Kocaman, D Talby Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 67 | 2021 |
| Accurate clinical and biomedical Named entity recognition at scale V Kocaman, D Talby Software Impacts, https://doi.org/10.1016/j.simpa.2022.100, 2022 | 22 | 2022 |
| Deeper Clinical Document Understanding Using Relation Extraction H Ul Hak, V Kocaman, D Talby https://arxiv.org/abs/2112.13259, 2021 | 13 | 2021 |
| Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction K Agarwal, S Choudhury, S Tipirneni, P Mukherjee, C Ham, S Tamang, ... Nature Scientific Reports 12 (10748 (2022)), 2022 | 12 | 2022 |
| Mining Adverse Drug Reactions from Unstructured Mediums at Scale H Ul Hak, V Kocaman, D Talby Accepted to W3PHIAI workshop at AAAI-22, 2022 | 12 | 2022 |
| Improving Clinical Document Understanding on COVID-19 Research with Spark NLP V Kocaman, D Talby http://ceur-ws.org/ 2831 (arXiv preprint arXiv:2012.04005), https …, 2020 | 11 | 2020 |
| Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study V Kocaman, OM Shir, T Bäck 2020 25th International Conference on Pattern Recognition (ICPR), 10404-10411, 2021 | 10 | 2021 |
| Understanding COVID-19 News Coverage using Medical NLP AE Varol, V Kocaman, H Ul Hak, D Talby 5th International Workshop on Narrative Extraction from Texts (Text2Story), 2022 | 8 | 2022 |
| TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites M Aydogan, V Kocaman Journal of Information Science 1 (https://journals.sagepub.com/eprint/P3XK …, 2022 | 8 | 2022 |
| Clinical Application of Detecting COVID-19 Risks: A Natural Language processing approach SR Bashir, S Raza, V Kocaman, U Qamar Viruses 14 (12), 2761, 2022 | 4 | 2022 |
| Saliency Can Be All You Need in Contrastive Self-supervised Learning V Kocaman, OM Shir, T Bäck, AN Belbachir International Symposium on Visual Computing, 119-140, 2022 | 3 | 2022 |
| Social Media Mining for Health (#SMM4H) with Spark NLP V Kocaman, C Celik, D Gurbaz, G Pirge, B Polat, H Saglamlar, ... Proceedings of The Seventh Workshop on Social Media Mining for Health …, 2022 | 2 | 2022 |
| Biomedical Named Entity Recognition in Eight Languages with Zero Code Changes V Kocaman, B Polat, G Pirge, D Talby Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) 3202 …, 2022 | 2 | 2022 |
| LangTest: A comprehensive evaluation library for custom LLM and NLP models A Nazir, TK Chakravarthy, DA Cecchini, R Khajuria, P Sharma, AT Mirik, ... Software Impacts 2 (https://www.sciencedirect.com/science/ar), 100619, 2024 | 1 | 2024 |
| Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets V Kocaman, D Talby, HU Hak Value in Health 26 (12), S532, 2023 | 1 | 2023 |
| Automated De-Identification of Arabic Medical Records V Kocaman, Y Mellah, H Haq, D Talby Proceedings of ArabicNLP 2023, 33-40, 2023 | 1 | 2023 |
| Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets V Kocaman, H Ul Haq, D Talby ML4H 2023 (Findings Track), 2023 | 1 | 2023 |
| Connecting the dots in clinical document understanding with Relation Extraction at scale H Ul Haq, V Kocaman, D Talby Software Impacts 12 (100294), 2022 | 1 | 2022 |
| Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data S Choudhury, K Agarwal, C Ham, P Mukherjee, S Tang, S Tipirneni, ... | 1 | 2021 |
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