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Juris Rats
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2020 – today
- 2022
- [j7]Juris Rats, Inguna Pede:
Using a Topic Based Model to Automate Indexing and Routing of Incoming Enterprise Documents. Balt. J. Mod. Comput. 10(3) (2022) - [c3]Juris Rats, Inguna Pede:
Supporting Trainset Annotation for Text Classification of Incoming Enterprise Documents. DATA 2022: 211-218 - 2021
- [j6]Juris Rats, Inguna Pede:
Structuring and Controlling the Knowledge for the Software User Support. Balt. J. Mod. Comput. 9(2) (2021) - 2020
- [j5]Juris Rats, Inguna Pede:
Document Capturing Automation: Case Study. Balt. J. Mod. Comput. 8(2) (2020) - [c2]Juris Rats, Inguna Pede, Tatjana Rubina, Gatis Vitols:
A Machine Learning Based Framework for Enterprise Document Classification. ICEIS (Revised Selected Papers) 2020: 87-99 - [c1]Juris Rats, Inguna Pede, Tatjana Rubina, Gatis Vitols:
A Flexible Model for Enterprise Document Capturing Automation. ICEIS (1) 2020: 297-304
2010 – 2019
- 2019
- [j4]Juris Rats:
Developing and Evaluating ECM Data Persistence Architecture. Comput. Informatics 38(2): 454-472 (2019) - 2018
- [j3]Juris Rats:
Polyglot Persistence Architecture for Enterprise Content Management. Balt. J. Mod. Comput. 6(3) (2018) - 2017
- [j2]Juris Rats:
Use of NoSQL Technology for Secure and Fast Search of Enterprise Data. Balt. J. Mod. Comput. 5(2) (2017) - 2013
- [j1]Juris Rats, Gints Ernestsons:
Clustering and Ranked Search for Enterprise Content Management. Int. J. E Entrepreneurship Innov. 4(4): 20-31 (2013)
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