David Talby - RankMe

39 papers A 2C 2Journal 16Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP. Text2Story@ECIR Veysel Kocaman, M. Aytug Kaya, Yigit Gul, Cabir Celik, David Talby, Mehmet Butgul, Hasham Ul Haq
2025	J	`jnl`	Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP. CoRR Veysel Kocaman, Yigit Gul, M. Aytug Kaya, Hasham Ul Haq, Mehmet Butgul, Cabir Celik, David Talby
2025	J	`jnl`	Can Zero-Shot Commercial APIs Deliver Regulatory-Grade Clinical Text DeIdentification? CoRR Veysel Kocaman, Muhammed Santas, Yigit Gul, Mehmet Butgul, David Talby
2025	—	`conf`	Can Zero-Shot Commerical API's Deliver Regulatory-Grade Clinical Text De-Identification? Text2Story@ECIR Veysel Kocaman, Muhammed Santas, Yigit Gul, Mehmet Butgul, David Talby
2024	J	`jnl`	LangTest: A comprehensive evaluation library for custom LLM and NLP models. Softw. Impacts Arshaan Nazir, Thadaka Kalyan Chakravarthy, David Amore Cecchini, Rakshit Khajuria, Prikshit Sharma, Ali Tarik Mirik, Veysel Kocaman, David Talby
2024	—	`conf`	Lexicans at Chemotimelines 2024: Chemotimeline Chronicles - Leveraging Large Language Models (LLMs) for Temporal Relations Extraction in Oncological Electronic Health Records. ClinicalNLP@NAACL Vishakha Sharma, Andres Fernandez, Andrei Ioanovici, David Talby, Frederik Buijs
2023	—	`conf`	Automated De-Identification of Arabic Medical Records. ArabicNLP Veysel Kocaman, Youssef Mellah, Hasham Ul Haq, David Talby
2023	J	`jnl`	Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets. CoRR Veysel Kocaman, Hasham Ul Haq, David Talby
2023	J	`jnl`	Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson
2022	J	`jnl`	Accurate Clinical and Biomedical Named Entity Recognition at Scale. Softw. Impacts Veysel Kocaman, David Talby
2022	—	`conf`	Biomedical Named Entity Recognition in Eight Languages with Zero Code Changes. IberLEF@SEPLN Veysel Kocaman, Gursev Pirge, Bunyamin Polat, David Talby
2022	J	`jnl`	Connecting the dots in clinical document understanding with Relation Extraction at scale. Softw. Impacts Hasham Ul Haq, Veysel Kocaman, David Talby
2022	—	`conf`	Deeper Clinical Document Understanding using Relation Extraction. SDU@AAAI Hasham Ul Haq, Veysel Kocaman, David Talby
2022	—	`conf`	John_Snow_Labs@SMM4H'22: Social Media Mining for Health (#SMM4H) with Spark NLP. SMM4H@COLING Veysel Kocaman, Cabir Celik, Damla Gurbaz, Gursev Pirge, Bunyamin Polat, Halil Saglamlar, Meryem Vildan Sarikaya, Gokhan Turer, David Talby
2022	J	`jnl`	Mining Adverse Drug Reactions from Unstructured Mediums at Scale. CoRR Hasham Ul Haq, Veysel Kocaman, David Talby
2022	—	`conf`	Understanding COVID-19 News Coverage using Medical NLP. Text2Story@ECIR Ali Emre Varol, Veysel Kocaman, Hasham Ul Haq, David Talby
2022	J	`jnl`	Understanding COVID-19 News Coverage using Medical NLP. CoRR Ali Emre Varol, Veysel Kocaman, Hasham Ul Haq, David Talby
2021	J	`jnl`	Deeper Clinical Document Understanding Using Relation Extraction. CoRR Hasham Ul Haq, Veysel Kocaman, David Talby
2021	—	`conf`	Improving Clinical Document Understanding on COVID-19 Research with Spark NLP. SDU@AAAI Veysel Kocaman, David Talby
2021	J	`jnl`	Spark NLP: Natural Language Understanding at Scale. CoRR Veysel Kocaman, David Talby
2021	J	`jnl`	Spark NLP: Natural Language Understanding at Scale. Softw. Impacts Veysel Kocaman, David Talby
2020	—	`conf`	Biomedical Named Entity Recognition at Scale. ICPR Workshops (1) Veysel Kocaman, David Talby
2020	J	`jnl`	Biomedical Named Entity Recognition at Scale. CoRR Veysel Kocaman, David Talby
2020	J	`jnl`	Improving Clinical Document Understanding on COVID-19 Research with Spark NLP. CoRR Veysel Kocaman, David Talby
2009	—	`conf`	Governance of an agile software project. SDG@ICSE David Talby, Yael Dubinsky
2009	—	`conf`	The Perceived Value of Authoring and Automating Acceptance Tests Using a Model Driven Development Toolset. AST@ICSE David Talby
2007	J	`jnl`	A Co-Plot analysis of logs and models of parallel workloads. ACM Trans. Model. Comput. Simul. David Talby, Dror G. Feitelson, Adi Raveh
2006	J	`jnl`	Agile Software Testing in a Large-Scale Project. IEEE Softw. David Talby, Orit Hazzan, Yael Dubinsky, Arie Keren
2006	—	`conf`	Agile System Analysis and Design. ICEIS (Selected Papers) Yael Dubinsky, Orit Hazzan, David Talby, Arie Keren
2006	—	`conf`	Reflections on Reflection in Agile Software Development. AGILE David Talby, Orit Hazzan, Yael Dubinsky, Arie Keren
2006	—	`conf`	System Analysis and Design in a Large-Scale Software Project: The Case of Transition to Agile Development. ICEIS (3) Yael Dubinsky, Orit Hazzan, David Talby, Arie Keren
2006	—	`—`	User modeling of parallel workloads (מידול משתמשים במחשבים מקביליים.). David Talby
2005	—	`conf`	A Process-Complete Automatic Acceptance Testing Framework. SwSTE David Talby, Ori Nakar, Noam Shmueli, Eli Margolin, Arie Keren
2005	—	`conf`	Agile Metrics at the Israeli Air Force. AGILE Yael Dubinsky, David Talby, Orit Hazzan, Arie Keren
2005	A	`conf`	Improving and Stabilizing Parallel Computer Performance Using Adaptive Backfilling. IPDPS David Talby, Dror G. Feitelson
2005	A	`conf`	What is worth learning from parallel workloads?: a user and session based analysis. ICS Julia Zilber, Ofer Amit, David Talby
1999	C	`conf`	Benchmarks and Standards for the Evaluation of Parallel Job Schedulers. JSSPP Steve J. Chapin, Walfredo Cirne, Dror G. Feitelson, James Patton Jones, Scott T. Leutenegger, Uwe Schwiegelshohn, Warren Smith, David Talby
1999	C	`conf`	Comparing Logs and Models of Parallel Workloads Using the Co-plot Method. JSSPP David Talby, Dror G. Feitelson, Adi Raveh
1999	—	`conf`	Supporting Priorities and Improving Utilization of the IBM SP Scheduler Using Slack-Based Backfilling. IPPS/SPDP David Talby, Dror G. Feitelson