Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study. - Veysel Kocaman; Ofer M. Shir; Thomas Bäck (ICPR, 2020)

Biomedical Named Entity Recognition at Scale. - Veysel Kocaman; David Talby (ICPR Workshops (1), 2020)

Improving Clinical Document Understanding on COVID-19 Research with Spark NLP. - Veysel Kocaman; David Talby (SDU@AAAI, 2021)

Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. - Sutanay Choudhury; Khushbu Agarwal; Colby Ham; Pritam Mukherjee; Siyi Tang; Sindhu Tipirneni; Veysel Kocaman; Suzanne Tamang; Robert Rallo; Chandan K. Reddy (AMIA, 2021)

The Unreasonable Effectiveness of the Final Batch Normalization Layer. - Veysel Kocaman; Ofer M. Shir; Thomas Bäck (ISVC (2), 2021)

Spark NLP: Natural Language Understanding at Scale. - Veysel Kocaman; David Talby (Softw. Impacts, 2021)

Deeper Clinical Document Understanding using Relation Extraction. - Hasham Ul Haq; Veysel Kocaman; David Talby (SDU@AAAI, 2022)

John_Snow_Labs@SMM4H'22: Social Media Mining for Health (#SMM4H) with Spark NLP. - Veysel Kocaman; Cabir Celik; Damla Gurbaz; Gursev Pirge; Bunyamin Polat; Halil Saglamlar; Meryem Vildan Sarikaya; Gokhan Turer; David Talby (SMM4H@COLING, 2022)

Understanding COVID-19 News Coverage using Medical NLP. - Ali Emre Varol; Veysel Kocaman; Hasham Ul Haq; David Talby (Text2Story@ECIR, 2022)

Saliency Can Be All You Need in Contrastive Self-supervised Learning. - Veysel Kocaman; Ofer M. Shir; Thomas Bäck; Ahmed Nabil Belbachir (ISVC (2), 2022)

Biomedical Named Entity Recognition in Eight Languages with Zero Code Changes. - Veysel Kocaman; Gursev Pirge; Bunyamin Polat; David Talby (IberLEF@SEPLN, 2022)

Mining Adverse Drug Reactions from Unstructured Mediums at Scale. - Hasham Ul Haq; Veysel Kocaman; David Talby (CoRR, 2022)

Connecting the dots in clinical document understanding with Relation Extraction at scale. - Hasham Ul Haq; Veysel Kocaman; David Talby (Softw. Impacts, 2022)

Accurate Clinical and Biomedical Named Entity Recognition at Scale. - Veysel Kocaman; David Talby (Softw. Impacts, 2022)

Automated De-Identification of Arabic Medical Records. - Veysel Kocaman; Youssef Mellah; Hasham Ul Haq; David Talby (ArabicNLP, 2023)

Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets. - Veysel Kocaman; Hasham Ul Haq; David Talby (CoRR, 2023)

TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites. - Murat Aydogan; Veysel Kocaman (J. Inf. Sci., 2023)

LangTest: A comprehensive evaluation library for custom LLM and NLP models. - Arshaan Nazir; Thadaka Kalyan Chakravarthy; David Amore Cecchini; Rakshit Khajuria; Prikshit Sharma; Ali Tarik Mirik; Veysel Kocaman; David Talby (Softw. Impacts, 2024)

Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP. - Veysel Kocaman; M. Aytug Kaya; Yigit Gul; Cabir Celik; David Talby; Mehmet Butgul; Hasham Ul Haq (Text2Story@ECIR, 2025)

Can Zero-Shot Commerical API's Deliver Regulatory-Grade Clinical Text De-Identification? - Veysel Kocaman; Muhammed Santas; Yigit Gul; Mehmet Butgul; David Talby (Text2Story@ECIR, 2025)

Can Zero-Shot Commercial APIs Deliver Regulatory-Grade Clinical Text DeIdentification? - Veysel Kocaman; Muhammed Santas; Yigit Gul; Mehmet Butgul; David Talby (CoRR, 2025)