Katsiaryna Mirylenka

Orcid: 0000-0002-1614-6835

According to our database1, Katsiaryna Mirylenka authored at least 22 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Graph Neural Networks for Entity Matching.
Proceedings of the IEEE International Conference on Big Data, 2023

Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021
Business Entity Matching with Siamese Graph Convolutional Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Siamese Graph Neural Networks for Data Integration.
CoRR, 2020

2019
Fast Record Linkage for Company Entities.
CoRR, 2019

Linking IT Product Records.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Hidden Layer Models for Company Representations and Product Recommendations.
Proceedings of the Advances in Database Technology, 2019

Fast Record Linkage for Company Entities.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017
On classifier behavior in the presence of mislabeling noise.
Data Min. Knowl. Discov., 2017

Data Series Similarity Using Correlation-Aware Measures.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Correlation-Aware Distance Measures for Data Series.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

2016
Characterizing Home Device Usage From Wireless Traffic Time Series.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015
Mining and Learning in Sequential Data Streams: Interesting Correlations and Classification in Noisy Settings.
PhD thesis, 2015

Conditional heavy hitters: detecting interesting correlations in data streams.
VLDB J., 2015

2013
On peer review in computer science: analysis of its effectiveness and suggestions for improvement.
Scientometrics, 2013

Finding interesting correlations with conditional heavy hitters.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Uncertain Time-Series Similarity: Return to the Basics.
Proc. VLDB Endow., 2012

SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2011
Alternatives to Peer Review: Novel Approaches for Research Evaluation.
Frontiers Comput. Neurosci., 2011

Similarity matching for uncertain time series: analytical and experimental comparison.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, 2011


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