Dariusz Brzezinski
Titel
Zitiert von
Zitiert von
Jahr
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
3342013
Open challenges for data stream mining research
G Krempl, I Žliobaite, D Brzeziński, E Hüllermeier, M Last, V Lemaire, ...
ACM SIGKDD explorations newsletter 16 (1), 1-10, 2014
2522014
Accuracy updated ensemble for data streams with concept drift
D Brzeziński, J Stefanowski
Hybrid Artificial Intelligent Systems, 155-163, 2011
1302011
Combining block-based and online methods in learning ensembles from concept drifting data streams
D Brzezinski, J Stefanowski
Information Sciences 265, 50-67, 2014
1252014
Mining data streams with concept drift
D Brzeziński
Cs Put Pozna 89, 2010
762010
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 (2), 531-562, 2017
622017
Prequential AUC for classifier evaluation and drift detection in evolving data streams
D Brzezinski, J Stefanowski
International Workshop on New Frontiers in Mining Complex Patterns, 87-101, 2014
392014
Clustering XML documents by patterns
M Piernik, D Brzezinski, T Morzy
Knowledge and Information Systems 46 (1), 185-212, 2016
242016
XML clustering: a review of structural approaches.
M Piernik, D Brzezinski, T Morzy, A Lesniewska
Knowledge Eng. Review 30 (3), 297-323, 2015
222015
Ensemble diversity in evolving data streams
D Brzezinski, J Stefanowski
International Conference on Discovery Science, 229-244, 2016
212016
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
172020
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
14*2018
XCleaner: A new method for clustering XML documents by structure
D Brzeziński, A Leśniewska, T Morzy, M Piernik
Control and Cybernetics 40 (3), 877-891, 2011
132011
PUT at SemEval-2016 Task 4: The ABC of Twitter sentiment analysis
M Lango, D Brzezinski, J Stefanowski
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
122016
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
112019
Stream Classification.
J Stefanowski, D Brzezinski
Encyclopedia of Machine Learning and Data Mining, 1191-1199, 2017
112017
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
102019
Ensemble classifiers for imbalanced and evolving data streams
D Brzezinski, J Stefanowski, A Nienkötter, X Jiang, M Last, M Stoliar, ...
Int J Data Min Time Ser Streaming Databases, 44-68, 2018
92018
Block-based and online ensembles for concept-drifting data streams
D Brzeziński
92015
Structural XML classification in concept drifting data streams
D Brzezinski, M Piernik
New Generation Computing 33 (4), 345-366, 2015
92015
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