Katsiaryna (Katya) Mirylenka
Katsiaryna (Katya) Mirylenka
IBM Research Zürich, Switzerland
Verified email at zurich.ibm.com - Homepage
TitleCited byYear
Alternatives to peer review: novel approaches for research evaluation
A Birukou, JR Wakeling, C Bartolini, F Casati, M Marchese, K Mirylenka, ...
Frontiers in computational neuroscience 5, 56, 2011
652011
Uncertain time-series similarity: Return to the basics
M Dallachiesa, B Nushi, K Mirylenka, T Palpanas
Proceedings of the VLDB Endowment 5 (11), 1662-1673, 2012
532012
Conditional heavy hitters: detecting interesting correlations in data streams
K Mirylenka, G Cormode, T Palpanas, D Srivastava
The VLDB Journal—The International Journal on Very Large Data Bases 24 (3 …, 2015
212015
On peer review in computer science: Analysis of its effectiveness and suggestions for improvement
A Ragone, K Mirylenka, F Casati, M Marchese
Scientometrics 97 (2), 317-356, 2013
182013
Characterizing home device usage from wireless traffic time series
K Mirylenka, V Christophides, T Palpanas, I Pefkianakis, M May
132016
A quantitative analysis of peer review
A Ragone, K Mirylenka, F Casati, M Marchese
in13th International Society of Scientometrics and Informetrics Conference …, 2011
122011
Finding interesting correlations with conditional heavy hitters
K Mirylenka, T Palpanas, G Cormode, D Srivastava
2013 IEEE 29th International Conference on Data Engineering (ICDE), 1069-1080, 2013
112013
Similarity matching for uncertain time series: analytical and experimental comparison
M Dallachiesa, B Nushi, K Mirylenka, T Palpanas
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and …, 2011
112011
Reviewing peer review: a quantitative analysis of peer review
F Casati, M Marchese, K Mirylenka, A Ragone
University of Trento, 2010
82010
On classifier behavior in the presence of mislabeling noise
K Mirylenka, G Giannakopoulos, T Palpanas
Data mining and knowledge discovery 31 (3), 661-701, 2017
52017
Srf: A framework for the study of classifier behavior under training set mislabeling noise
K Mirylenka, G Giannakopoulos, T Palpanas
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 109-121, 2012
42012
Data series similarity using correlation-aware measures
K Mirylenka, M Dallachiesa, T Palpanas
Proceedings of the 29th International Conference on Scientific and …, 2017
32017
Applicability of Latent Dirichlet Allocation for Company Modeling
K Mirylenka, C Miksovic, P Scotton
16th Industrial Conference on Data Mining (ICDM 2016), 55-60, 2016
22016
Alice Marascu, Themis Palpanas, Matthias Fehr, Stefan Jank, Gunter Welde, Daniel Groeber
K Mirylenka
Envelope-Based Anomaly Detection for High-Speed Manufacturing Processes …, 2013
22013
Correlation-Aware Distance Measures for Data Series.
K Mirylenka, M Dallachiesa, T Palpanas
EDBT, 502-505, 2017
12017
Recurrent Neural Networks for Modeling Company-Product Time Series
K Mirylenka, C Miksovic, P Scotton
2nd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data …, 2016
12016
Fast Record Linkage for Company Entities
T Gschwind, C Miksovic, K Mirylenka, P Scotton
arXiv preprint arXiv:1907.08667, 2019
2019
Hidden Layer Models for Company Representations and Product Recommendations.
K Mirylenka, P Scotton, C Miksovic, J Dillon
EDBT, 468-476, 2019
2019
Mining and Learning in Sequential Data Streams: Interesting Correlations and Classification in Noisy Settings
K Mirylenka
University of Trento, 2015
2015
LiquidPub D3. 3. Simulation and validation of the behavioral models
M Medo, LL Jiang, T Zhou, J Wakeling, K Mirylenka, A Ragone
2010
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