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Katsiaryna Mirylenka
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2020 – today
- 2024
- [c15]Robin Chan, Katsiaryna Mirylenka, Thomas Gschwind, Christoph Miksovic, Paolo Scotton, Enrico Toniato, Abdel Labbi:
Adapting LLMs for Structured Natural Language API Integration. EMNLP (Industry Track) 2024: 991-1000 - 2023
- [c14]Lukas Wertz, Jasmina Bogojeska
, Katsiaryna Mirylenka, Jonas Kuhn:
Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification. ACL (Findings) 2023: 10959-10977 - [c13]Evgeny Krivosheev, Katsiaryna Mirylenka, Mattia Atzeni, Paolo Scotton:
Graph Neural Networks for Entity Matching. IEEE Big Data 2023: 6212-6214 - 2022
- [c12]Lukas Wertz, Jasmina Bogojeska, Katsiaryna Mirylenka, Jonas Kuhn:
Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification. AACL/IJCNLP (2) 2022: 366-372 - [c11]Lukas Wertz, Katsiaryna Mirylenka, Jonas Kuhn, Jasmina Bogojeska:
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification. LREC 2022: 4597-4605 - 2021
- [c10]Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin:
Business Entity Matching with Siamese Graph Convolutional Networks. AAAI 2021: 16054-16056 - [i4]Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin:
Business Entity Matching with Siamese Graph Convolutional Networks. CoRR abs/2105.03701 (2021) - 2020
- [i3]Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Fabio Casati:
Siamese Graph Neural Networks for Data Integration. CoRR abs/2001.06543 (2020)
2010 – 2019
- 2019
- [c9]Thomas Gschwind, Christoph Miksovic, Julian Minder, Katsiaryna Mirylenka
Fast Record Linkage for Company Entities. IEEE BigData 2019: 623-630 - [c8]Katsiaryna Mirylenka
Hidden Layer Models for Company Representations and Product Recommendations. EDBT 2019: 468-476 - [c7]Katsiaryna Mirylenka
Linking IT Product Records. PKDD/ECML Workshops (2) 2019: 101-111 - [i2]Thomas Gschwind, Christoph Miksovic, Katsiaryna Mirylenka, Paolo Scotton:
Fast Record Linkage for Company Entities. CoRR abs/1907.08667 (2019) - 2017
- [j5]Katsiaryna Mirylenka
On classifier behavior in the presence of mislabeling noise. Data Min. Knowl. Discov. 31(3): 661-701 (2017) - [c6]Katsiaryna Mirylenka
Correlation-Aware Distance Measures for Data Series. EDBT 2017: 502-505 - [c5]Katsiaryna Mirylenka
Data Series Similarity Using Correlation-Aware Measures. SSDBM 2017: 11:1-11:12 - 2016
- [c4]Katsiaryna Mirylenka
Characterizing Home Device Usage From Wireless Traffic Time Series. EDBT 2016: 539-550 - 2015
- [b1]Katsiaryna Mirylenka:
Mining and Learning in Sequential Data Streams: Interesting Correlations and Classification in Noisy Settings. University of Trento, Italy, 2015 - [j4]Katsiaryna Mirylenka
Conditional heavy hitters: detecting interesting correlations in data streams. VLDB J. 24(3): 395-414 (2015) - 2013
- [j3]Azzurra Ragone
On peer review in computer science: analysis of its effectiveness and suggestions for improvement. Scientometrics 97(2): 317-356 (2013) - [c3]Katsiaryna Mirylenka
Finding interesting correlations with conditional heavy hitters. ICDE 2013: 1069-1080 - 2012
- [j2]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka
Uncertain Time-Series Similarity: Return to the Basics. Proc. VLDB Endow. 5(11): 1662-1673 (2012) - [c2]Katsiaryna Mirylenka
SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise. PAKDD (1) 2012: 109-121 - [i1]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas:
Uncertain Time-Series Similarity: Return to the Basics. CoRR abs/1208.1931 (2012) - 2011
- [j1]Aliaksandr Birukou
Alternatives to Peer Review: Novel Approaches for Research Evaluation. Frontiers Comput. Neurosci. 5: 56 (2011) - [c1]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka
Similarity matching for uncertain time series: analytical and experimental comparison. QUeST@GIS 2011: 8-15
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