Scikit-multilearn: a scikit-based Python environment for performing multi-label classification P Szymanski, T Kajdanowicz The Journal of Machine Learning Research 20 (1), 209-230, 2019 | 292* | 2019 |
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 | 221 | 2011 |
Graph barlow twins: A self-supervised representation learning framework for graphs P Bielak, T Kajdanowicz, NV Chawla Knowledge-Based Systems 256, 109631, 2022 | 115 | 2022 |
A network perspective on stratification of multi-label data P Szymański, T Kajdanowicz First International Workshop on Learning with Imbalanced Domains: Theory and …, 2017 | 101 | 2017 |
Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach J Kocoń, A Figas, M Gruza, D Puchalska, T Kajdanowicz, P Kazienko Information Processing & Management 58 (5), 102643, 2021 | 99 | 2021 |
Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification R Kleminski, P Kazienko, T Kajdanowicz Journal of Information Science 48 (3), 349-373, 2022 | 82 | 2022 |
UCSG-Net--Unsupervised Discovering of Constructive Solid Geometry Tree K Kania, M Zięba, T Kajdanowicz NeurIPS 2020, 2020 | 82 | 2020 |
On measuring the complexity of networks: Kolmogorov complexity versus entropy M Morzy, T Kajdanowicz, P Kazienko Complexity 2017 (1), 3250301, 2017 | 70 | 2017 |
Parallel processing of large graphs T Kajdanowicz, P Kazienko, W Indyk Future Generation Computer Systems 32, 324-337, 2014 | 70 | 2014 |
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 | 66 | 2016 |
Label-dependent node classification in the network P Kazienko, T Kajdanowicz Neurocomputing 75 (1), 199-209, 2012 | 60 | 2012 |
Multidimensional social network: model and analysis P Kazienko, K Musial, E Kukla, T Kajdanowicz, P Bródka Computational Collective Intelligence. Technologies and Applications: Third …, 2011 | 59 | 2011 |
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, 213-235, 2014 | 55 | 2014 |
Comprehensive study on lexicon-based ensemble classification sentiment analysis Ł Augustyniak, P Szymański, T Kajdanowicz, W Tuligłowicz Entropy 18 (1), 4, 2015 | 53 | 2015 |
Multimodal optimization: an effective framework for model calibration M Chica, J Barranquero, T Kajdanowicz, S Damas, Ó Cordón Information Sciences 375, 79-97, 2017 | 51 | 2017 |
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 | 46 | 2017 |
Social network structure is predictive of health and wellness S Lin, L Faust, P Robles-Granda, T Kajdanowicz, NV Chawla PloS one 14 (6), e0217264, 2019 | 44 | 2019 |
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 | 43 | 2014 |
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 | 40 | 2012 |
Comprehensive analysis of aspect term extraction methods using various text embeddings Ł Augustyniak, T Kajdanowicz, P Kazienko Computer Speech & Language 69, 101217, 2021 | 36 | 2021 |