60 citations
- University of Novi SadRS10 papers
- Bayer (Germany)DE2 papers
- Astronomical ObservatoryRS1 paper
- German Research Centre for Artificial IntelligenceDE1 paper
- Institute of Physics BelgradeRS1 paper
- Military Medical AcademyRS1 paper
- Union UniversityRS1 paper
- University of BelgradeRS1 paper
- University of DefenceRS1 paper
- University of GöttingenDE1 paper
- University of ManchesterGB1 paper
- University of PassauDE1 paper
5 papers · 1 filter
De-identification of clinical free text using natural language processing: A systematic review of current approaches
Aleksandar Kovačević, Bojana Bašaragin, Nikola Milošević +1
Background: Electronic health records (EHRs) are a valuable resource for data-driven medical research. However, the presence of protected health information (PHI) makes EHRs unsuit…
A Federated Learning Algorithms Development Paradigm
Miroslav Popovic, Marko Popovic, Ivan Kastelan +2
At present many distributed and decentralized frameworks for federated learning algorithms are already available. However, development of such a framework targeting smart Internet…
A Simple Python Testbed for Federated Learning Algorithms
Miroslav Popovic, Marko Popovic, Ivan Kastelan +2
Nowadays many researchers are developing various distributed and decentralized frameworks for federated learning algorithms. However, development of such a framework targeting smar…
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
Miloš Košprdić, Nikola Prodanović, Adela Ljajić +2
Supervised named entity recognition (NER) in the biomedical domain depends on large sets of annotated texts with the given named entities. The creation of such datasets can be time…
A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents
Norman Meuschke, Apurva Jagdale, Timo Spinde +2
Extracting information from academic PDF documents is crucial for numerous indexing, retrieval, and analysis use cases. Choosing the best tool to extract specific content elements…