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2020 – today
- 2024
[j33]Bartosz Marcinkowski
, Maja Goschorska, Natalia Wilenska, Jakub Siuta, Tomasz Kajdanowicz:
MIRAD: A Method for Interpretable Ransomware Attack Detection. IEEE Access 12: 133810-133820 (2024)- [c74]Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik, Aleksandra Domogala, Marcin Oleksy, Maciej Piasecki, Tomasz Kajdanowicz:
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction. ACL (Findings) 2024: 10978-10996 - [c73]Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz:
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings. LREC/COLING 2024: 5768-5782 - [c72]Piotr Bielak, Tomasz Kajdanowicz:
Representation Learning in Multiplex Graphs: Where and How to Fuse Information? ICCS (6) 2024: 3-18 - [c71]Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz:
Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning. ICCS (7) 2024: 337-351 - [c70]Piotr Zielinski, Tomasz Kajdanowicz:
RDIR: Capturing Temporally-Invariant Representations of Multiple Objects in Videos. WACV (Workshops) 2024: 588-597 - [i41]Piotr Bielak, Tomasz Kajdanowicz:
Representation learning in multiplex graphs: Where and how to fuse information? CoRR abs/2402.17906 (2024) - [i40]Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz:
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings. CoRR abs/2405.10745 (2024) - [i39]Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik, Aleksandra Domogala, Marcin Oleksy, Maciej Piasecki, Tomasz Kajdanowicz:
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction. CoRR abs/2408.02337 (2024) - 2023
- [j32]Piotr Bielak, Jakub Binkowski, Albert Sawczyn, Katsiaryna Viarenich, Daria Puchalska, Tomasz Kajdanowicz:
A deeper look at Graph Embedding RetroFitting. J. Comput. Sci. 68: 101979 (2023) - [c69]Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek:
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. ACL (industry) 2023: 527-537 - [c68]Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek:
Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. ICCS (2) 2023: 290-297 - [c67]Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz:
RAFEN - Regularized Alignment Framework for Embeddings of Nodes. ICCS (1) 2023: 352-364 - [c66]Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz:
Graph-Level Representations Using Ensemble-Based Readout Functions. ICCS (1) 2023: 393-405 - [c65]Artur Budniak, Tomasz Kajdanowicz:
Graph TopoFilter: A Method for Noisy Labels Detection for Graph-Structured Classes. ICCS (3) 2023: 661-667 - [c64]Lukasz Augustyniak, Szymon Wozniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikolaj Morzy, Tomasz Kajdanowicz:
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark. NeurIPS 2023 - [i38]Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz:
RAFEN - Regularized Alignment Framework for Embeddings of Nodes. CoRR abs/2303.01926 (2023) - [i37]Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz:
Graph-level representations using ensemble-based readout functions. CoRR abs/2303.02023 (2023) - [i36]Lukasz Augustyniak, Szymon Wozniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikolaj Morzy, Tomasz Kajdanowicz:
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark. CoRR abs/2306.07902 (2023) - [i35]Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek:
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. CoRR abs/2307.05399 (2023) - [i34]Mateusz Baran, Mateusz Wójcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz:
Electoral Agitation Data Set: The Use Case of the Polish Election. CoRR abs/2307.07007 (2023) - [i33]Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek:
Similarity-based Memory Enhanced Joint Entity and Relation Extraction. CoRR abs/2307.11762 (2023) - [i32]Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz:
Unveiling the Potential of Probabilistic Embeddings in Self-Supervised Learning. CoRR abs/2310.18080 (2023) - 2022
- [j31]Mandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla:
Heterogeneous relational reasoning in knowledge graphs with reinforcement learning. Inf. Fusion 88: 12-21 (2022) - [j30]Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla:
AttrE2vec: Unsupervised attributed edge representation learning. Inf. Sci. 592: 82-96 (2022) - [j29]Rajmund Kleminski, Przemyslaw Kazienko, Tomasz Kajdanowicz:
Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification. J. Inf. Sci. 48(3): 349-373 (2022) - [j28]Piotr Bielak, Kamil Tagowski, Maciej Falkiewicz, Tomasz Kajdanowicz, Nitesh V. Chawla:
FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings. Knowl. Based Syst. 236: 107453 (2022) - [j27]Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla:
Graph Barlow Twins: A self-supervised representation learning framework for graphs. Knowl. Based Syst. 256: 109631 (2022) - [c63]Dariusz Gasior, Slawomir Lasota, Tomasz Kajdanowicz:
Machine Learning-Based Recommender System for Tweeting Factory in Industry 5.0 Paradigm. ACIIDS (Companion) 2022: 135-146 - [c62]Piotr Bielak, Daria Puchalska, Tomasz Kajdanowicz:
Retrofitting Structural Graph Embeddings with Node Attribute Information. ICCS (1) 2022: 178-191 - [c61]Piotr Zielinski, Tomasz Kajdanowicz:
Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model. ICCS (3) 2022: 613-626 - [c60]Mateusz Baran, Mateusz Wójcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz:
Electoral Agitation Dataset: The Use Case of the Polish Election. PoliticalNLP@LREC 2022: 32-36 - [c59]Lukasz Augustyniak, Kamil Tagowski, Albert Sawczyn, Denis Janiak, Roman Bartusiak, Adrian Szymczak, Arkadiusz Janz, Piotr Szymanski, Marcin Watroba, Mikolaj Morzy, Tomasz Kajdanowicz, Maciej Piasecki:
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish. NeurIPS 2022 - [c58]Krzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Wozniak, Tomasz Kajdanowicz:
Assessment of Massively Multilingual Sentiment Classifiers. WASSA@ACL 2022: 125-140 - [i31]Marcin Lewicki, Tomasz Kajdanowicz, Piotr Bródka, Janusz Sobecki:
Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales. CoRR abs/2201.12026 (2022) - [i30]Krzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Wozniak, Tomasz Kajdanowicz:
Assessment of Massively Multilingual Sentiment Classifiers. CoRR abs/2204.04937 (2022) - [i29]Lukasz Augustyniak, Kamil Tagowski, Albert Sawczyn, Denis Janiak, Roman Bartusiak, Adrian Szymczak, Marcin Watroba, Arkadiusz Janz, Piotr Szymanski, Mikolaj Morzy, Tomasz Kajdanowicz, Maciej Piasecki:
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish. CoRR abs/2211.13112 (2022) - [i28]Mateusz Wójcik, Witold Kosciukiewicz, Tomasz Kajdanowicz, Adam Gonczarek:
Neural Architecture for Online Ensemble Continual Learning. CoRR abs/2211.14963 (2022) - 2021
- [j26]Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Comprehensive analysis of aspect term extraction methods using various text embeddings. Comput. Speech Lang. 69: 101217 (2021) - [j25]Jan Kocon, Alicja Figas, Marcin Gruza, Daria Puchalska, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach. Inf. Process. Manag. 58(5): 102643 (2021) - [j24]Rajmund Kleminski, Przemyslaw Kazienko, Tomasz Kajdanowicz:
Where should I publish? Heterogeneous, networks-based prediction of paper's citation success. J. Informetrics 15(3): 101200 (2021) - [c57]Kamil Kanclerz, Alicja Figas, Marcin Gruza, Tomasz Kajdanowicz, Jan Kocon, Daria Puchalska, Przemyslaw Kazienko:
Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection. ACL/IJCNLP (1) 2021: 5915-5926 - [c56]Kamil Raczycki, Marcin Szymanski, Yahor Yeliseyenka, Piotr Szymanski, Tomasz Kajdanowicz:
Spatial data mining of public transport incidents reported in social media. IWCTS@SIGSPATIAL 2021: 3:1-3:8 - [c55]Izabela Krysinska, Mikolaj Morzy, Tomasz Kajdanowicz:
Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality Ranking. ICANN (4) 2021: 279-291 - [c54]Kamil Tagowski, Piotr Bielak, Tomasz Kajdanowicz:
Embedding Alignment Methods in Dynamic Networks. ICCS (1) 2021: 599-613 - [c53]Marcin Lewicki, Tomasz Kajdanowicz, Piotr Bródka, Janusz Sobecki:
Dynamic Pricing and Discounts by Means of Interactive Presentation Systems in Stationary Point of Sales. ICCS (4) 2021: 609-622 - [c52]Albert Sawczyn, Jakub Binkowski, Denis Janiak, Lukasz Augustyniak, Tomasz Kajdanowicz:
Fact-checking: relevance assessment of references in the Polish political domain. KES 2021: 1285-1293 - [i27]Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla:
Graph Barlow Twins: A self-supervised representation learning framework for graphs. CoRR abs/2106.02466 (2021) - [i26]Kamil Raczycki, Marcin Szymanski, Yahor Yeliseyenka, Piotr Szymanski, Tomasz Kajdanowicz:
Spatial Data Mining of Public Transport Incidents reported in Social Media. CoRR abs/2110.05573 (2021) - 2020
- [j23]Suman Kundu, Tomasz Kajdanowicz, Przemyslaw Kazienko, Nitesh V. Chawla:
Fuzzy Relative Willingness: Modeling Influence of Exogenous Factors in Driving Information Propagation Through a Social Network. IEEE Access 8: 186653-186662 (2020) - [c51]Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz:
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree. NeurIPS 2020 - [i25]Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz:
UCSG-Net - Unsupervised Discovering of Constructive Solid Geometry Tree. CoRR abs/2006.09102 (2020) - [i24]Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz, Michal Bernaczyk:
Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections. CoRR abs/2006.10207 (2020) - [i23]Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla:
AttrE2vec: Unsupervised Attributed Edge Representation Learning. CoRR abs/2012.14727 (2020)
2010 – 2019
- 2019
- [j22]Roman Bartusiak, Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki:
WordNet2Vec: Corpora agnostic word vectorization method. Neurocomputing 326-327: 141-150 (2019) - [j21]Piotr Szymanski, Tomasz Kajdanowicz:
scikit-multilearn: A Python library for Multi-Label Classification. J. Mach. Learn. Res. 20: 6:1-6:22 (2019) - [c50]Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Aspect Detection using Word and Char Embeddings with (Bi) LSTM and CRF. AIKE 2019: 43-50 - [i22]Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Piotr Bielak, Przemyslaw Kazienko, Nitesh V. Chawla:
Incremental embedding for temporal networks. CoRR abs/1904.03423 (2019) - [i21]Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF. CoRR abs/1909.01276 (2019) - [i20]Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Extracting Aspects Hierarchies using Rhetorical Structure Theory. CoRR abs/1909.01800 (2019) - [i19]Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings. CoRR abs/1909.04917 (2019) - 2018
- [j20]Mikolaj Morzy, Tomasz Kajdanowicz:
Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures. Entropy 20(12): 916 (2018) - [j19]Piotr Szymanski, Michal Zolnieruk, Piotr Oleszczyk, Igor Gisterek, Tomasz Kajdanowicz:
Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wrocław. IEEE Trans. Intell. Transp. Syst. 19(11): 3652-3661 (2018) - [c49]Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Extracting Aspects Hierarchies using Rhetorical Structure Theory. ACAI 2018: 22:1-22:5 - [r6]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Collective Classification. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r5]Przemyslaw Kazienko, Wojciech Indyk, Tomasz Kajdanowicz, Roman Bartusiak:
Distributed Processing of Networked Data. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r4]Przemyslaw Kazienko, Tomasz Kajdanowicz:
Collective Classification: Structural Features. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i18]Mikolaj Morzy, Tomasz Kajdanowicz, Przemyslaw Kazienko, Grzegorz Miebs, Arkadiusz Rusin:
Priority Attachment: a Universal Mechanism for Generating Networks. CoRR abs/1801.03327 (2018) - [i17]Mikolaj Morzy, Tomasz Kajdanowicz:
Entropy and Graph Energy of Complex Networks. CoRR abs/1809.00094 (2018) - [i16]Piotr Szymanski, Tomasz Kajdanowicz, Nitesh V. Chawla:
LNEMLC: Label Network Embeddings for Multi-Label Classifiation. CoRR abs/1812.02956 (2018) - 2017
- [j18]Mikolaj Morzy, Tomasz Kajdanowicz, Przemyslaw Kazienko:
On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy. Complex. 2017: 3250301:1-3250301:12 (2017) - [j17]Manuel Chica, José Barranquero, Tomasz Kajdanowicz, Sergio Damas, Oscar Cordón:
Multimodal optimization: An effective framework for model calibration. Inf. Sci. 375: 79-97 (2017) - [c48]Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz:
Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis. ACIIDS (1) 2017: 772-781 - [c47]Rajmund Kleminski, Tomasz Kajdanowicz, Roman Bartusiak, Przemyslaw Kazienko:
On Quality Assesement in Wikipedia Articles Based on Markov Random Fields. ACIIDS (1) 2017: 782-791 - [c46]Piotr Szymanski, Tomasz Kajdanowicz:
Is a Data-Driven Approach Still Better Than Random Choice with Naive Bayes Classifiers? ACIIDS (1) 2017: 792-801 - [c45]Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Przemyslaw Kazienko:
Incremental Learning in Dynamic Networks for Node Classification. ENIC 2017: 133-142 - [c44]Piotr Szymanski, Tomasz Kajdanowicz:
A Network Perspective on Stratification of Multi-Label Data. LIDTA@PKDD/ECML 2017: 22-35 - [i15]Piotr Szymanski, Tomasz Kajdanowicz:
A scikit-based Python environment for performing multi-label classification. CoRR abs/1702.01460 (2017) - [i14]Piotr Szymanski, Tomasz Kajdanowicz:
Is a Data-Driven Approach still Better than Random Choice with Naive Bayes classifiers? CoRR abs/1702.04013 (2017) - [i13]Piotr Szymanski, Tomasz Kajdanowicz:
A Network Perspective on Stratification of Multi-Label Data. CoRR abs/1704.08756 (2017) - [i12]Piotr Szymanski, Michal Zolnieruk, Piotr Oleszczyk, Igor Gisterek, Tomasz Kajdanowicz:
Spatio-temporal profiling of public transport delays based on large scale vehicle positioning data from GPS in Wrocław. CoRR abs/1707.07913 (2017) - [i11]Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz:
Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis. CoRR abs/1709.04491 (2017) - 2016
- [j16]Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko:
Learning in unlabeled networks - An active learning and inference approach. AI Commun. 29(1): 123-148 (2016) - [j15]Lukasz Augustyniak, Piotr Szymanski, Tomasz Kajdanowicz, Wlodzimierz Tuliglowicz:
Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis. Entropy 18(1): 4 (2016) - [j14]Piotr Szymanski, Tomasz Kajdanowicz, Kristian Kersting:
How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification? Entropy 18(8): 282 (2016) - [j13]Tomasz Kajdanowicz, Mikolaj Morzy:
Using Graph and Vertex Entropy to Compare Empirical Graphs with Theoretical Graph Models. Entropy 18(9): 320 (2016) - [c43]Roman Bartusiak, Tomasz Kajdanowicz, Adam Wierzbicki, Leszek Bukowski, Oskar Jarczyk, Kamil Pawlak:
Cooperation Prediction in GitHub Developers Network with Restricted Boltzmann Machine. ACIIDS (2) 2016: 96-107 - [c42]Lukasz Augustyniak, Piotr Szymanski, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Fast and Accurate - Improving Lexicon-Based Sentiment Classification with an Ensemble Methods. ACIIDS (2) 2016: 108-116 - [c41]Mikolaj Morzy, Przemyslaw Kazienko, Tomasz Kajdanowicz:
Priority rank model for social network generation. ASONAM 2016: 315-318 - [i10]Piotr Szymanski, Tomasz Kajdanowicz, Kristian Kersting:
How is a data-driven approach better than random choice in label space division for multi-label classification? CoRR abs/1606.02346 (2016) - [i9]Roman Bartusiak, Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki:
WordNet2Vec: Corpora Agnostic Word Vectorization Method. CoRR abs/1606.03335 (2016) - [i8]Jaroslaw Jankowski, Przemyslaw Kazienko, Boleslaw K. Szymanski, Piotr Bródka, Radoslaw Michalski, Tomasz Kajdanowicz:
Sequential Seeding in Complex Networks: Trading Speed for Coverage. CoRR abs/1609.07526 (2016) - 2015
- [j12]Tomasz Kajdanowicz:
Relational Classification Using Random Walks in Graphs. New Gener. Comput. 33(4): 409-424 (2015) - [c40]Adrian Popiel, Przemyslaw Kazienko, Tomasz Kajdanowicz:
MuNeG: The Framework for Multilayer Network Generator. ASONAM 2015: 1316-1323 - [c39]Roman Bartusiak, Tomasz Kajdanowicz:
Sentiment Analysis Based on Collaborative Data for Polish Language. CDVE 2015: 216-219 - [c38]Roman Bartusiak, Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Sentiment Analysis for Polish Using Transfer Learning Approach. ENIC 2015: 53-59 - [c37]Marcin Kulisiewicz, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki:
On Sentiment Polarity Assignment in the Wordnet Using Loopy Belief Propagation. HAIS 2015: 451-462 - [c36]Roxana Dánger, Derek Corrigan, Jean Karl Soler, Przemyslaw Kazienko, Tomasz Kajdanowicz, Azeem Majeed, Vasa Curcin:
A methodology for mining clinical data: experiences from TRANSFoRm project. MIE 2015: 85-89 - [i7]Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko:
Learning in Unlabeled Networks - An Active Learning and Inference Approach. CoRR abs/1510.01270 (2015) - 2014
- [j11]Tomasz Kajdanowicz, Przemyslaw Kazienko, Wojciech Indyk:
Parallel processing of large graphs. Future Gener. Comput. Syst. 32: 324-337 (2014) - [j10]Radoslaw Michalski, Tomasz Kajdanowicz, Piotr Bródka, Przemyslaw Kazienko:
Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach. New Gener. Comput. 32(3-4): 213-235 (2014) - [j9]Tomasz Kajdanowicz, Wojciech Indyk, Przemyslaw Kazienko:
MapReduce approach to relational influence propagation in complex networks. Pattern Anal. Appl. 17(4): 739-746 (2014) - [c35]Andrzej Misiaszek, Przemyslaw Kazienko, Marcin Kulisiewicz, Lukasz Augustyniak, Wlodzimierz Tuliglowicz, Adrian Popiel, Tomasz Kajdanowicz:
Belief Propagation Method for Word Sentiment in WordNet 3.0. ACIIDS (2) 2014: 263-272 - [c34]Lukasz Augustyniak, Tomasz Kajdanowicz, Piotr Szymanski, Wlodzimierz Tuliglowicz, Przemyslaw Kazienko, Reda Alhajj, Boleslaw K. Szymanski:
Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods. ASONAM 2014: 924-929 - [c33]Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Marcin Kulisiewicz, Wlodzimierz Tuliglowicz:
An Approach to Sentiment Analysis of Movie Reviews: Lexicon Based vs. Classification. HAIS 2014: 168-178 - [r3]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Collective Classification. Encyclopedia of Social Network Analysis and Mining 2014: 144-156 - [r2]Przemyslaw Kazienko, Tomasz Kajdanowicz:
Collective Classification, Structural Features. Encyclopedia of Social Network Analysis and Mining 2014: 156-168 - [r1]Przemyslaw Kazienko, Wojciech Indyk, Tomasz Kajdanowicz:
Distributed Processing of Networked Data. Encyclopedia of Social Network Analysis and Mining 2014: 400-403 - [i6]Radoslaw Michalski, Tomasz Kajdanowicz, Piotr Bródka, Przemyslaw Kazienko:
Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach. CoRR abs/1405.0538 (2014) - 2013
- [j8]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Boosting-based Multi-label Classification. J. Univers. Comput. Sci. 19(4): 502-520 (2013) - [j7]Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Relational large scale multi-label classification method for video categorization. Multim. Tools Appl. 65(1): 63-74 (2013) - [c32]Tomasz Kajdanowicz, Tomasz Filipowski, Przemyslaw Kazienko, Piotr Bródka:
Competence Region Modelling in Relational Classification. ACIIDS (2) 2013: 236-244 - [c31]Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko:
Active learning and inference method for within network classification. ASONAM 2013: 1299-1306 - [c30]Tomasz Kajdanowicz:
Efficient Usage of Collective Classification Algorithms for Collaborative Decision Making. CDVE 2013: 73-80 - [c29]Andrzej Misiaszek, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki:
Relational Propagation of Word Sentiment in WordNet. CDVE 2013: 137-140 - [c28]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Heuristic Classifier Chains for Multi-label Classification. FQAS 2013: 555-566 - [c27]Adrian Popiel, Tomasz Kajdanowicz, Przemyslaw Kazienko, Jean Karl Soler, Derek Corrigan, Vasa Curcin, Roxana Dánger Mercaderes, Brendan Delaney:
Classification Method for Differential Diagnosis Based on the Course of Episode of Care. HAIS 2013: 112-121 - [c26]Piotr Szymanski, Tomasz Kajdanowicz:
MLG: Enchancing Multi-label Classification with Modularity-Based Label Grouping. HAIS 2013: 431-440 - [c25]Przemyslaw Kazienko, Tomasz Kajdanowicz, Radoslaw Michalski, Piotr Bródka:
From Data to Human Behaviour. SOCIETY 2013: 100-108 - [i5]Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz:
Multidimensional Social Network in the Social Recommender System. CoRR abs/1303.0093 (2013) - [i4]Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz:
Label-dependent Feature Extraction in Social Networks for Node Classification. CoRR abs/1303.0095 (2013) - [i3]Katarzyna Musial, Przemyslaw Kazienko, Tomasz Kajdanowicz:
Social Recommendations within the Multimedia Sharing Systems. CoRR abs/1303.0284 (2013) - [i2]Katarzyna Ewa Pasierb, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Privacy-preserving Data Mining, Sharing and Publishing. CoRR abs/1304.1877 (2013) - [i1]Tomasz Kajdanowicz, Przemyslaw Kazienko, Wojciech Indyk:
Parallel Processing of Large Graphs. CoRR abs/1306.0326 (2013) - 2012
- [j6]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Multi-label classification using error correcting output codes. Int. J. Appl. Math. Comput. Sci. 22(4): 829-840 (2012) - [j5]Tomasz Filipowski, Przemyslaw Kazienko, Piotr Bródka, Tomasz Kajdanowicz:
Web-based knowledge exchange through social links in the workplace. Behav. Inf. Technol. 31(8): 779-790 (2012) - [j4]Tomasz Kajdanowicz, Slawomir Plamowski, Przemyslaw Kazienko:
New Entropy Based Distance for Training Set Selection in Debt Portfolio Valuation. Int. J. Inf. Technol. Web Eng. 7(2): 60-69 (2012) - [j3]Przemyslaw Kazienko, Tomasz Kajdanowicz:
Label-dependent node classification in the network. Neurocomputing 75(1): 199-209 (2012) - [c24]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Learning and Inference Order in Structured Output Elements Classification. ACIIDS (1) 2012: 301-309 - [c23]Tomasz Kajdanowicz, Przemyslaw Kazienko, Marcin Janczak:
Collective Classification Techniques: An Experimental Study. ADBIS Workshops 2012: 99-108 - [c22]Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Cooperative Decision Making Algorithm for Large Networks Using MapReduce Programming Model. CDVE 2012: 53-56 - [c21]Tomasz Kajdanowicz, Slawomir Plamowski, Przemyslaw Kazienko, Wojciech Indyk:
Transfer Learning Approach to Debt Portfolio Appraisal. HAIS (2) 2012: 46-55 - [c20]Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko, Slawomir Plamowski:
MapReduce Approach to Collective Classification for Networks. ICAISC (1) 2012: 656-663 - [c19]Tomasz Kajdanowicz, Wojciech Indyk, Przemyslaw Kazienko, Jakub Kukul:
Comparison of the Efficiency of MapReduce and Bulk Synchronous Parallel Approaches to Large Network Processing. ICDM Workshops 2012: 218-225 - [c18]Tomasz Kajdanowicz, Slawomir Plamowski, Przemyslaw Kazienko:
Distance Measures in Training Set Selection for Debt Value Prediction. PerMIn 2012: 219-226 - [c17]Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko, Slawomir Plamowski:
Web Spam Detection Using MapReduce Approach to Collective Classification. CISIS/ICEUTE/SOCO Special Sessions 2012: 197-206 - 2011
- [j2]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Boosting-based Sequential Output Prediction. New Gener. Comput. 29(3): 293-307 (2011) - [j1]Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz:
Multidimensional Social Network in the Social Recommender System. IEEE Trans. Syst. Man Cybern. Part A 41(4): 746-759 (2011) - [c16]Tomasz Kajdanowicz, Michal Wozniak, Przemyslaw Kazienko:
Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes. ACIIDS (2) 2011: 333-342 - [c15]Tomasz Kajdanowicz:
A Model for Collaborative Scheduling Based on Competencies. CDVE 2011: 178-181 - [c14]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Structured Output Element Ordering in Boosting-Based Classification. HAIS (2) 2011: 221-228 - [c13]Przemyslaw Kazienko, Katarzyna Musial, Elzbieta Kukla, Tomasz Kajdanowicz, Piotr Bródka:
Multidimensional Social Network: Model and Analysis. ICCCI (1) 2011: 378-387 - [c12]Przemyslaw Kazienko, Elzbieta Kukla, Katarzyna Musial, Tomasz Kajdanowicz, Piotr Bródka, Jaroslaw Gaworecki:
A Generic Model for a Multidimensional Temporal Social Network. ICeND 2011: 1-14 - [c11]Katarzyna Ewa Pasierb, Tomasz Kajdanowicz, Przemyslaw Kazienko:
Current Trends and Difficulties in Knowledge-Based e-Health Systems. WSKS 2011: 135-140 - 2010
- [c10]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Incremental Prediction for Sequential Data. ACIIDS (2) 2010: 359-367 - [c9]Tomasz Kajdanowicz, Przemyslaw Kazienko:
A method for business sequential data prediction. AMCIS 2010: 537 - [c8]Tomasz Kajdanowicz, Przemyslaw Kazienko, Jan Kraszewski:
Boosting Algorithm with Sequence-Loss Cost Function for Structured Prediction. HAIS (1) 2010: 573-580 - [c7]Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz:
A Method of Label-Dependent Feature Extraction in Social Networks. ICCCI (2) 2010: 11-21 - [c6]Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz:
Label-Dependent Feature Extraction in Social Networks for Node Classification. SocInfo 2010: 89-102 - [c5]Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz, Krzysztof Litwin:
An Assessment of Node Classification Accuracy in Social Networks Using Label-Dependent Feature Extraction. WSKS (1) 2010: 125-130
2000 – 2009
- 2009
- [c4]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Prediction of Sequential Values for Debt Recovery. CIARP 2009: 337-344 - [c3]Tomasz Kajdanowicz, Przemyslaw Kazienko:
Hybrid Repayment Prediction for Debt Portfolio. ICCCI 2009: 850-857 - 2008
- [c2]Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz:
Profile of the Social Network in Photo Sharing Systems. AMCIS 2008: 173 - [c1]Katarzyna Musial, Przemyslaw Kazienko, Tomasz Kajdanowicz:
Social Recommendations within the Multimedia Sharing Systems. WSKS (1) 2008: 364-372
Coauthor Index
[j29] [j26] [j25] [j24] [c57] [j23] [j22] [c50] [i22] [i21] [i20] [i19] [c49] [r6] [r5] [r4] [i18] [j18] [c47] [c45] [j16] [c42] [c41] [i9] [i8] [c40] [c38] [c37] [c36] [i7] [j11] [j10] [j9] [c35] [c34] [c33] [r3] [r2] [r1] [i6] [j8] [j7] [c32] [c31] [c29] [c28] [c27] [c25] [i5] [i4] [i3] [i2] [i1] [j6] [j5] [j4] [j3] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j2] [j1] [c16] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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