Search Results - "Kocaman, Veysel"

TRSAv1: A new benchmark dataset for classifying user reviews on Turkish e-commerce websites by Aydoğan, Murat, Kocaman, Veysel

“…The amount of data produced significantly increased with the development of Internet technologies. Accordingly, the importance of natural language processing…”
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Clinical Application of Detecting COVID-19 Risks: A Natural Language Processing Approach by Bashir, Syed Raza, Raza, Shaina, Kocaman, Veysel, Qamar, Urooj

“…The clinical application of detecting COVID-19 factors is a challenging task. The existing named entity recognition models are usually trained on a limited set…”
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Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction by Agarwal, Khushbu, Choudhury, Sutanay, Tipirneni, Sindhu, Mukherjee, Pritam, Ham, Colby, Tamang, Suzanne, Baker, Matthew, Tang, Siyi, Kocaman, Veysel, Gevaert, Olivier, Rallo, Robert, Reddy, Chandan K

“…Developing prediction models for emerging infectious diseases from relatively small numbers of cases is a critical need for improving pandemic preparedness…”
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Auto-machine learning for opportunistic thyroid nodule detection in lung cancer screening chest CT by Patel, Sumir, Kocaman, Veysel, Sayici, Mehmet Burak, Patel, Nikhil

“…e13639 Background: Automated Machine Learning (Auto-ML) in medical imaging is a process that allows non-experts to utilize machine learning techniques, opening…”
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Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study by Kocaman, Veysel, Shir, Ofer M., Back, Thomas

“…Some real-world domains, such as Agriculture and Healthcare, comprise early-stage disease indications whose recording constitutes a rare event, and yet, whose…”
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Spark NLP: Natural Language Understanding at Scale by Kocaman, Veysel, Talby, David

“…Spark NLP is a Natural Language Processing (NLP) library built on top of Apache Spark ML. It provides simple, performant and accurate NLP annotations for…”
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Improving Clinical Document Understanding on COVID-19 Research with Spark NLP by Kocaman, Veysel, Talby, David

“…Following the global COVID-19 pandemic, the number of scientific papers studying the virus has grown massively, leading to increased interest in automated…”
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Biomedical Named Entity Recognition at Scale by Kocaman, Veysel, Talby, David

“…Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information…”
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Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets by Kocaman, Veysel, Haq, Hasham Ul, Talby, David

“…Recent research advances achieve human-level accuracy for de-identifying free-text clinical notes on research datasets, but gaps remain in reproducing this in…”
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Mining Adverse Drug Reactions from Unstructured Mediums at Scale by Haq, Hasham Ul, Kocaman, Veysel, Talby, David

“…Adverse drug reactions / events (ADR/ADE) have a major impact on patient health and health care costs. Detecting ADR's as early as possible and sharing them…”
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Deeper Clinical Document Understanding Using Relation Extraction by Haq, Hasham Ul, Kocaman, Veysel, Talby, David

“…The surging amount of biomedical literature & digital clinical records presents a growing need for text mining techniques that can not only identify but also…”
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The Unreasonable Effectiveness of the Final Batch Normalization Layer by Kocaman, Veysel, Shir, Ofer M, Baeck, Thomas

“…Early-stage disease indications are rarely recorded in real-world domains, such as Agriculture and Healthcare, and yet, their accurate identification is…”
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Saliency Can Be All You Need In Contrastive Self-Supervised Learning by Kocaman, Veysel, Shir, Ofer M, Bäck, Thomas, Belbachir, Ahmed Nabil

“…We propose an augmentation policy for Contrastive Self-Supervised Learning (SSL) in the form of an already established Salient Image Segmentation technique…”
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Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study by Kocaman, Veysel, Shir, Ofer M, Bäck, Thomas

“…Some real-world domains, such as Agriculture and Healthcare, comprise early-stage disease indications whose recording constitutes a rare event, and yet, whose…”
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Understanding COVID-19 News Coverage using Medical NLP by Varol, Ali Emre, Kocaman, Veysel, Haq, Hasham Ul, Talby, David

“…Being a global pandemic, the COVID-19 outbreak received global media attention. In this study, we analyze news publications from CNN and The Guardian - two of…”
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