Dariusz Brzezinski

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Citations	2292	1552
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i10-index	32	28

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Jerzy StefanowskiPoznan University of TechnologyVerified email at cs.put.poznan.pl
Mariusz JaskólskiAdam Mickiewicz University in Poznań, and Institute of Bioorganic Chemistry Polish Academy of SciencesVerified email at amu.edu.pl
Wladek MinorHarrison Distinguished Professor of Molecular Physiology and Biological Physics, University ofVerified email at iwonka.med.virginia.edu
Izabela SzczechPoznan University of TechnologyVerified email at cs.put.poznan.pl
Ivan G. ShabalinUniversity of VirginiaVerified email at virginia.edu
Robert SusmagaInstytut Informatyki, Politechnika PoznańskaVerified email at cs.put.poznan.pl
Maciej PiernikPoznan University of TechnologyVerified email at cs.put.poznan.pl
Mirek GilskiA. Mickiewicz University, Poznań, PolandVerified email at amu.edu.pl
Alexander WlodawerNational Cancer InstituteVerified email at nih.gov
Bernhard Ruppk.-k. HofkristallamtVerified email at hofkristallamt.org
tadeusz MorzyProfesor Informatyki, Politechnika PoznańskaVerified email at put.poznan.pl
David R CooperResearch Assistant Professor, University of VirginiaVerified email at virginia.edu
Joanna M. MacnarUniversity of WarsawVerified email at student.uw.edu.pl
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerified email at upb.de
Vincent LemaireOrange LabsVerified email at orange.com
Ammar ShakerNEC Laboratories Europe GmbHVerified email at neclab.eu
Mark LastProfessor of Information Systems Engineering and Software Engineering, Ben-Gurion University of theVerified email at bgu.ac.il
Georg KremplInformation and Computing Sciences, Utrecht University, The NetherlandsVerified email at uu.nl
Indrė ŽliobaitėProfessor, University of HelsinkiVerified email at helsinki.fi
Myra SpiliopoulouProfessor in Computer Science, Otto-von-Guericke University MagdeburgVerified email at ovgu.de

Dariusz Brzezinski

Poznan University of Technology

Verified email at cs.put.poznan.pl - Homepage

machine learning data streams imbalanced data metrics bioinformatics


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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	542	2013
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	387	2014
Accuracy updated ensemble for data streams with concept drift D Brzeziński, J Stefanowski Hybrid Artificial Intelligent Systems, 155-163, 2011	209	2011
Combining block-based and online methods in learning ensembles from concept drifting data streams D Brzezinski, J Stefanowski Information Sciences 265, 50-67, 2014	208	2014
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	139	2017
Mining data streams with concept drift D Brzeziński Cs Put Pozna 89, 2010	90	2010
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	60	2019
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	58	2015
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	55	2018
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	46	2021
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	42	2020
Clustering XML documents by patterns M Piernik, D Brzezinski, T Morzy Knowledge and Information Systems 46, 185-212, 2016	37	2016
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	29	2019
Ensemble diversity in evolving data streams D Brzezinski, J Stefanowski Discovery Science: 19th International Conference, DS 2016, Bari, Italy …, 2016	29	2016
Stream Classification. J Stefanowski, D Brzezinski Encyclopedia of Machine Learning and Data Mining, 1191-1199, 2017	28	2017
XML clustering: a review of structural approaches M Piernik, D Brzezinski, T Morzy, A Lesniewska The Knowledge Engineering Review 30 (3), 297-323, 2015	28	2015
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	22	2021
Ensemble classifiers for imbalanced and evolving data streams D Brzezinski, J Stefanowski Data mining in time series and streaming databases, 44-68, 2018	21	2018
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	18	2021
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	18	2019

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