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Journal Articles
- 2024
[j6]Lovre Torbarina
, Tin Ferkovic, Lukasz Roguski, Velimir Mihelcic, Bruno Sarlija, Zeljko Kraljevic:
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Position Paper. Nat. Lang. Process. J. 7: 100076 (2024)- 2021
- [j5]Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. Artif. Intell. Medicine 117: 102083 (2021) - 2020
- [j4]Hegler Correa Tissot, Anoop D. Shah, David Brealey, Steve K. Harris, Ruth Agbakoba, Amos Folarin, Luis Romao, Lukasz Roguski, Richard J. B. Dobson, Folkert W. Asselbergs:
Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial. IEEE J. Biomed. Health Informatics 24(10): 2950-2959 (2020) - 2018
- [j3]Lukasz Roguski, Idoia Ochoa, Mikel Hernaez, Sebastian Deorowicz:
FaStore: a space-saving solution for raw sequencing data. Bioinform. 34(16): 2748-2756 (2018) - 2015
- [j2]Szymon Grabowski, Sebastian Deorowicz, Lukasz Roguski:
Disk-based compression of data from genome sequencing. Bioinform. 31(9): 1389-1395 (2015) - 2014
- [j1]Lukasz Roguski, Sebastian Deorowicz:
DSRC 2 - Industry-oriented compression of FASTQ files. Bioinform. 30(15): 2213-2215 (2014)
Conference and Workshop Papers
- 2021
- [c1]Lovre Torbarina, Velimir Mihelcic, Bruno Sarlija, Lukasz Roguski, Zeljko Kraljevic:
Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis. SustaiNLP@EMNLP 2021: 86-95
Informal and Other Publications
- 2023
- [i6]Lovre Torbarina, Tin Ferkovic, Lukasz Roguski, Velimir Mihelcic, Bruno Sarlija, Zeljko Kraljevic:
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey. CoRR abs/2308.08234 (2023) - 2021
- [i5]Kawsar Noor, Lukasz Roguski, Alex Handy, Roman Klapaukh, Amos Folarin, Luis Romao, Joshua Matteson, Nathan Lea, Leilei Zhu, Wai Keong Wong, Anoop D. Shah, Richard J. B. Dobson:
Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals. CoRR abs/2108.06835 (2021) - 2020
- [i4]Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit. CoRR abs/2010.01165 (2020) - 2019
- [i3]Zeljko Kraljevic, Daniel Bean, Aurelie Mascio, Lukasz Roguski, Amos Folarin, Angus Roberts, Rebecca Bendayan, Richard J. B. Dobson:
MedCAT - Medical Concept Annotation Tool. CoRR abs/1912.10166 (2019) - 2015
- [i2]Lukasz Roguski, Paolo Ribeca:
CARGO: Effective format-free compressed storage of genomic information. CoRR abs/1506.05185 (2015) - 2014
- [i1]Szymon Grabowski, Sebastian Deorowicz, Lukasz Roguski:
Disk-based genome sequencing data compression. CoRR abs/1405.6874 (2014)
Coauthor Index
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