Katsiaryna Mirylenka

31 papers A* 2A 1B 8Journal 11Unranked 8
YearRankTypeTitle / Venue / Authors
2026 B conf
In-depth Analysis of LLM-based Schema Linking.
EDBT
George Katsogiannis-Meimarakis, Katsiaryna Mirylenka, Paolo Scotton, Francesco Fusco, Abdel Labbi
2025 — conf
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models.
EMNLP (Findings)
Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou
2025 J jnl
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models.
CoRR
Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou
2025 A conf
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models.
UAI
Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2025 J jnl
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models.
CoRR
Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee
2025 B conf
Towards Reliable Conversational Data Analytics.
EDBT
Sihem Amer-Yahia, Jasmina Bogojeska, Roberta Facchinetti, Valeria Franceschi, Aristides Gionis, Katja Hose, Georgia Koutrika, Roger D. Kouyos, Matteo Lissandrini, Silviu Maniu, Katsiaryna Mirylenka, Davide Mottin, Themis Palpanas, Mattia Rigotti, Yannis Velegrakis
2024 — conf
Adapting LLMs for Structured Natural Language API Integration.
EMNLP (Industry Track)
Robin Chan, Katsiaryna Mirylenka, Thomas Gschwind, Christoph Miksovic, Paolo Scotton, Enrico Toniato, Abdel Labbi
2023 B conf
Graph Neural Networks for Entity Matching.
IEEE Big Data
Evgeny Krivosheev, Katsiaryna Mirylenka, Mattia Atzeni, Paolo Scotton
2023 — conf
Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification.
ACL (Findings)
Lukas Wertz, Jasmina Bogojeska, Katsiaryna Mirylenka, Jonas Kuhn
2022 — conf
Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification.
AACL/IJCNLP (2)
Lukas Wertz, Jasmina Bogojeska, Katsiaryna Mirylenka, Jonas Kuhn
2022 B conf
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification.
LREC
Lukas Wertz, Katsiaryna Mirylenka, Jonas Kuhn, Jasmina Bogojeska
2021 A* conf
Business Entity Matching with Siamese Graph Convolutional Networks.
AAAI
Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin
2021 J jnl
Business Entity Matching with Siamese Graph Convolutional Networks.
CoRR
Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin
2020 J jnl
Siamese Graph Neural Networks for Data Integration.
CoRR
Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Fabio Casati
2019 — conf
Fast Record Linkage for Company Entities.
IEEE BigData
Thomas Gschwind, Christoph Miksovic, Julian Minder, Katsiaryna Mirylenka, Paolo Scotton
2019 J jnl
Fast Record Linkage for Company Entities.
CoRR
Thomas Gschwind, Christoph Miksovic, Katsiaryna Mirylenka, Paolo Scotton
2019 B conf
Hidden Layer Models for Company Representations and Product Recommendations.
EDBT
Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Jeff Dillon
2019 — conf
Linking IT Product Records.
PKDD/ECML Workshops (2)
Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Salah-Eddine Bariol Alaoui
2017 B conf
Correlation-Aware Distance Measures for Data Series.
EDBT
Katsiaryna Mirylenka, Michele Dallachiesa, Themis Palpanas
2017 B conf
Data Series Similarity Using Correlation-Aware Measures.
SSDBM
Katsiaryna Mirylenka, Michele Dallachiesa, Themis Palpanas
2017 J jnl
On classifier behavior in the presence of mislabeling noise.
Data Min. Knowl. Discov.
Katsiaryna Mirylenka, George Giannakopoulos, Le Minh Do, Themis Palpanas
2016 B conf
Characterizing Home Device Usage From Wireless Traffic Time Series.
EDBT
Katsiaryna Mirylenka, Vassilis Christophides, Themis Palpanas, Ioannis Pefkianakis, Martin May
2015 J jnl
Conditional heavy hitters: detecting interesting correlations in data streams.
VLDB J.
Katsiaryna Mirylenka, Graham Cormode, Themis Palpanas, Divesh Srivastava
2015 — —
Mining and Learning in Sequential Data Streams: Interesting Correlations and Classification in Noisy Settings.
Katsiaryna Mirylenka
2013 A* conf
Finding interesting correlations with conditional heavy hitters.
ICDE
Katsiaryna Mirylenka, Themis Palpanas, Graham Cormode, Divesh Srivastava
2013 J jnl
On peer review in computer science: analysis of its effectiveness and suggestions for improvement.
Scientometrics
Azzurra Ragone, Katsiaryna Mirylenka, Fabio Casati, Maurizio Marchese
2012 — conf
SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise.
PAKDD (1)
Katsiaryna Mirylenka, George Giannakopoulos, Themis Palpanas
2012 J jnl
Uncertain Time-Series Similarity: Return to the Basics
CoRR
Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas
2012 J jnl
Uncertain Time-Series Similarity: Return to the Basics.
Proc. VLDB Endow.
Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas
2011 J jnl
Alternatives to Peer Review: Novel Approaches for Research Evaluation.
Frontiers Comput. Neurosci.
Aliaksandr Birukou, Joseph R. Wakeling, Claudio Bartolini, Fabio Casati, Maurizio Marchese, Katsiaryna Mirylenka, Nardine Osman, Azzurra Ragone, Carles Sierra, Aalam Wassef
2011 — conf
Similarity matching for uncertain time series: analytical and experimental comparison.
QUeST@GIS
Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas