Tomasz Kajdanowicz
Tomasz Kajdanowicz
Wroclaw University of Science and Technology
Verifierad e-postadress på pwr.edu.pl - Startsida
TitelCiteras avÅr
Multidimensional social network in the social recommender system
P Kazienko, K Musial, T Kajdanowicz
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2011
1772011
Parallel processing of large graphs
T Kajdanowicz, P Kazienko, W Indyk
Future Generation Computer Systems 32, 324-337, 2014
522014
Multidimensional social network: model and analysis
P Kazienko, K Musial, E Kukla, T Kajdanowicz, P Bródka
International Conference on Computational Collective Intelligence, 378-387, 2011
452011
Label-dependent node classification in the network
P Kazienko, T Kajdanowicz
Neurocomputing 75 (1), 199-209, 2012
392012
Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach
R Michalski, T Kajdanowicz, P Bródka, P Kazienko
New Generation Computing 32 (3-4), 213-235, 2014
302014
Comparison of the efficiency of mapreduce and bulk synchronous parallel approaches to large network processing
T Kajdanowicz, W Indyk, P Kazienko, J Kukul
2012 IEEE 12th International Conference on Data Mining Workshops, 218-225, 2012
252012
Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods
L Augustyniak, T Kajdanowicz, P Szymański, W Tuligłowicz, P Kazienko, ...
Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM …, 2014
212014
Balancing Speed and Coverage by Sequential Seeding in Complex Networks
J Jankowski, P Bródka, P Kazienko, BK Szymanski, R Michalski, ...
Scientific Reports 7 (1), 891, 2017
182017
Multi-label classification using error correcting output codes
T Kajdanowicz, P Kazienko
International Journal of Applied Mathematics and Computer Science 22 (4 …, 2012
182012
Label-dependent feature extraction in social networks for node classification
T Kajdanowicz, P Kazienko, P Doskocz
International Conference on Social Informatics, 89-102, 2010
172010
How is a data-driven approach better than random choice in label space division for multi-label classification?
P Szymański, T Kajdanowicz, K Kersting
Entropy 18 (8), 282, 2016
162016
Web-based knowledge exchange through social links in the workplace
T Filipowski, P Kazienko, P Bródka, T Kajdanowicz
Behaviour & Information Technology 31 (8), 779-790, 2012
162012
Social recommendations within the multimedia sharing systems
K Musiał, P Kazienko, T Kajdanowicz
World Summit on Knowledge Society, 364-372, 2008
162008
Multimodal optimization: An effective framework for model calibration
ÓC Manuel Chica, José Barranquerob, Tomasz Kajdanowicz, Sergio Damas
Information Sciences 375, 79–97, 2017
152017
Multimodal optimization: an effective framework for model calibration
M Chica, J Barranquero, T Kajdanowicz, S Damas, Ó Cordón
Information Sciences, Forthcoming, 2016
152016
Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis
Ł Augustyniak, P Szymański, T Kajdanowicz, W Tuligłowicz
Entropy 18 (1), 4, 2015
152015
An approach to sentiment analysis of movie reviews: Lexicon based vs. classification
L Augustyniak, T Kajdanowicz, P Kazienko, M Kulisiewicz, W Tuliglowicz
International Conference on Hybrid Artificial Intelligence Systems, 168-178, 2014
142014
Relational large scale multi-label classification method for video categorization
W Indyk, T Kajdanowicz, P Kazienko
Multimedia Tools and Applications 65 (1), 63-74, 2013
142013
A scikit-based Python environment for performing multi-label classification
P Szymański, T Kajdanowicz
arXiv preprint arXiv:1702.01460, 2017
132017
Prediction of sequential values for debt recovery
T Kajdanowicz, P Kazienko
Iberoamerican Congress on Pattern Recognition, 337-344, 2009
132009
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Artiklar 1–20