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Nikola Milosevic
Nikola Milosevic
其他姓名Nilkola Milošević, Никола Милошевић
Bayer A.G.
在 manchester.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Machine learning aided Android malware classification
N Milosevic, A Dehghantanha, KKR Choo
Computers & Electrical Engineering 61, 266-274, 2017
4332017
Equity forecast: Predicting long term stock price movement using machine learning
N Milosevic
http://arxiv.org/abs/1603.00751, 2016
1042016
History of Malware
N Milosevic
Digital forensics magazine 1 (16), 58-66, 2013
73*2013
A framework for information extraction from tables in biomedical literature
G Milosevic, Nikola, Gregson, Cassie, Hernandez Rob, Nenadic
International Journal of Document Analysis and Recognition (IJDAR), 2019
672019
Comparison of biomedical relationship extraction methods and models for knowledge graph creation
N Milosevic, W Thielemann
Journal of Web Semantics, 2022
49*2022
Stemmer for Serbian language
N Milosevic
31*2012
Disentangling the structure of tables in scientific literature
N Milosevic, C Gregson, R Hernandez, G Nenadic
Natural Language Processing and Information Systems: 21st International …, 2016
252016
De-identification of clinical free text using natural language processing: A systematic review of current approaches
A Kovačević, B Bašaragin, N Milošević, G Nenadić
Artificial Intelligence in Medicine, 102845, 2024
162024
Extracting Patient Data from Tables in Clinical Literature - Case Study on Extraction of BMI, Weight and Number of Patients
GN Nikola Milosevic, Cassie Gregson, Robert Hernandez
In Proceedings of the 9th International Joint Conference on Biomedical …, 2016
15*2016
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017
M Belousov, N Milosevic, W Dixon, G Nenadic
Text analytics conference, 2017
122017
Classification of intangible social innovation concepts
N Milosevic, A Gok, G Nenadic
Natural Language Processing and Information Systems: 23rd International …, 2018
112018
Deep learning guided Android malware and anomaly detection
N Milosevic, J Huang
arXiv preprint arXiv:1910.10660, 2019
92019
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
M Košprdić, N Prodanović, A Ljajić, B Bašaragin, N Milošević
Artificial Intelligence in Medicine 256 (102970), 2024
82024
Building the European Social Innovation Database with Natural Language Processing and Machine Learning
A Gök, R Antai, N Milošević, W Al-Nabki
Sci Data 9 (697), 2022
72022
Multilingual transformer and BERTopic for short text topic modeling: The case of Serbian
D Medvecki, B Bašaragin, A Ljajić, N Milošević
Conference on Information Technology and its Applications, 161-173, 2023
62023
Mašinska analiza sentimenta rečenica na srpskom jeziku
N Milošević, B Nikolić
University of Belgrade, 2013
62013
MASK: A flexible framework to facilitate de-identification of clinical texts
N Milosevic, G Kalappa, H Dadafarin, M Azimaee, G Nenadic
arXiv preprint arXiv:2005.11687, 2020
52020
Towards application of text mining for enhanced power network data analytics - part II: offline analysis of textual data
Yushi Chen, J Ponocko, N Milosevic, G Nenadic, JV Milanovic
IET Conference Proceedings - MedPower 2016 8, 88, 2016
5*2016
Towards application of text mining for enhanced power network data analytics - part I: retrieval and ranking of textual data from the internet
Piaoran Chen, J Ponocko, N Milosevic, G Nenadic, JV Milanovic
IET Conference Proceedings - MedPower2016, 87, 2016
5*2016
How do you know that? teaching generative language models to reference answers to biomedical questions
B Bašaragin, A Ljajić, D Medvecki, L Cassano, M Košprdić, N Milošević
In Proceedings of the 23rd Workshop on Biomedical Natural Language …, 2024
42024
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