Follow
Dariusz Brzezinski
Title
Cited by
Cited by
Year
Reacting to different types of concept drift: The accuracy updated ensemble algorithm
D Brzezinski, J Stefanowski
IEEE transactions on neural networks and learning systems 25 (1), 81-94, 2013
5052013
Open challenges for data stream mining research
G Krempl, I ®liobaite, D Brzeziński, E Hüllermeier, M Last, V Lemaire, ...
ACM SIGKDD explorations newsletter 16 (1), 1-10, 2014
3672014
Combining block-based and online methods in learning ensembles from concept drifting data streams
D Brzezinski, J Stefanowski
Information Sciences 265, 50-67, 2014
1982014
Accuracy updated ensemble for data streams with concept drift
D Brzeziński, J Stefanowski
Hybrid Artificial Intelligent Systems, 155-163, 2011
1982011
Prequential AUC: properties of the area under the ROC curve for data streams with concept drift
D Brzezinski, J Stefanowski
Knowledge and Information Systems 52, 531-562, 2017
1272017
Mining data streams with concept drift
D Brzeziński
Cs Put Pozna 89, 2010
902010
Prequential AUC for classifier evaluation and drift detection in evolving data streams
D Brzezinski, J Stefanowski
New Frontiers in Mining Complex Patterns: Third International Workshop …, 2015
552015
On the dynamics of classification measures for imbalanced and streaming data
D Brzezinski, J Stefanowski, R Susmaga, I Szczech
IEEE transactions on neural networks and learning systems 31 (8), 2868-2878, 2019
522019
Visual-based analysis of classification measures and their properties for class imbalanced problems
D Brzezinski, J Stefanowski, R Susmaga, I Szczȩch
Information Sciences 462, 242-261, 2018
492018
Ligand‐centered assessment of SARS‐CoV‐2 drug target models in the Protein Data Bank
A Wlodawer, Z Dauter, IG Shabalin, M Gilski, D Brzezinski, M Kowiel, ...
The FEBS journal 287 (17), 3703-3718, 2020
412020
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams
D Brzezinski, LL Minku, T Pewinski, J Stefanowski, A Szumaczuk
Knowledge and Information Systems 63 (6), 1429-1469, 2021
362021
Clustering XML documents by patterns
M Piernik, D Brzezinski, T Morzy
Knowledge and Information Systems 46, 185-212, 2016
352016
Ensemble diversity in evolving data streams
D Brzezinski, J Stefanowski
Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016
292016
XML clustering: a review of structural approaches
M Piernik, D Brzezinski, T Morzy, A Lesniewska
The Knowledge Engineering Review 30 (3), 297-323, 2015
282015
Automatic recognition of ligands in electron density by machine learning
M Kowiel, D Brzezinski, PJ Porebski, IG Shabalin, M Jaskolski, W Minor
Bioinformatics 35 (3), 452-461, 2019
252019
Stream Classification.
J Stefanowski, D Brzezinski
Encyclopedia of Machine Learning and Data Mining, 1191-1199, 2017
242017
Crystallographic models of SARS-CoV-2 3CLpro: In-depth assessment of structure quality and validation
M Jaskolski, Z Dauter, IG Shabalin, M Gilski, D Brzezinski, M Kowiel, ...
IUCrJ 8 (2), 238-256, 2021
192021
Accurate geometrical restraints for Watson–Crick base pairs
M Gilski, J Zhao, M Kowiel, D Brzezinski, DH Turner, M Jaskolski
Acta Crystallographica Section B: Structural Science, Crystal Engineering …, 2019
182019
Covid‐19. bioreproducibility. org: A web resource for SARS‐CoV‐2‐related structural models
D Brzezinski, M Kowiel, DR Cooper, M Cymborowski, M Grabowski, ...
Protein Science 30 (1), 115-124, 2021
172021
Ensemble classifiers for imbalanced and evolving data streams
D Brzezinski, J Stefanowski
Data Mining in Time Series and Streaming Databases, 44-68, 2018
172018
The system can't perform the operation now. Try again later.
Articles 1–20