Tomasz Kajdanowicz

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 86

Top Venues

Publications

Piotr Bielak, Tomasz Kajdanowicz
Representation Learning in Multiplex Graphs: Where and How to Fuse Information? ICCS (6) (2024)
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)
Piotr Bielak, Tomasz Kajdanowicz
Representation learning in multiplex graphs: Where and how to fuse information? CoRR (2024)
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 (2024)
Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning. ICCS (7) (2024)
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)
Piotr Zielinski, Tomasz Kajdanowicz
RDIR: Capturing Temporally-Invariant Representations of Multiple Objects in Videos. WACV (Workshops) (2024)
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)
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 (2023)
Piotr Bielak, Jakub Binkowski, Albert Sawczyn, Katsiaryna Viarenich, Daria Puchalska, Tomasz Kajdanowicz
A deeper look at Graph Embedding RetroFitting. J. Comput. Sci. 68 (2023)
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 (2023)
Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
Similarity-based Memory Enhanced Joint Entity and Relation Extraction. CoRR (2023)
Artur Budniak, Tomasz Kajdanowicz
Graph TopoFilter: A Method for Noisy Labels Detection for Graph-Structured Classes. ICCS (3) (2023)
Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz
Graph-level representations using ensemble-based readout functions. CoRR (2023)
Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. CoRR (2023)
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)
Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz
Graph-Level Representations Using Ensemble-Based Readout Functions. ICCS (1) (2023)
Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz
RAFEN - Regularized Alignment Framework for Embeddings of Nodes. ICCS (1) (2023)
Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz
RAFEN - Regularized Alignment Framework for Embeddings of Nodes. CoRR (2023)
Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. ICCS (2) (2023)
Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
Unveiling the Potential of Probabilistic Embeddings in Self-Supervised Learning. CoRR (2023)
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)
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)
Piotr Bielak, Daria Puchalska, Tomasz Kajdanowicz
Retrofitting Structural Graph Embeddings with Node Attribute Information. ICCS (1) (2022)
Krzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Wozniak, Tomasz Kajdanowicz
Assessment of Massively Multilingual Sentiment Classifiers. CoRR (2022)
Piotr Zielinski, Tomasz Kajdanowicz
Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model. ICCS (3) (2022)
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
Graph Barlow Twins: A self-supervised representation learning framework for graphs. Knowl. Based Syst. 256 (2022)
Krzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Wozniak, Tomasz Kajdanowicz
Assessment of Massively Multilingual Sentiment Classifiers. WASSA@ACL (2022)
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 (2022)
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 (2022)
Mateusz Wójcik, Witold Kosciukiewicz, Tomasz Kajdanowicz, Adam Gonczarek
Neural Architecture for Online Ensemble Continual Learning. CoRR (2022)
Marcin Lewicki, Tomasz Kajdanowicz, Piotr Bródka, Janusz Sobecki
Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales. CoRR (2022)
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
AttrE2vec: Unsupervised attributed edge representation learning. Inf. Sci. 592 (2022)
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 (2022)
Rajmund Kleminski, Przemyslaw Kazienko, Tomasz Kajdanowicz
Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification. J. Inf. Sci. 48 (3) (2022)
Kamil Raczycki, Marcin Szymanski, Yahor Yeliseyenka, Piotr Szymanski, Tomasz Kajdanowicz
Spatial data mining of public transport incidents reported in social media. IWCTS@SIGSPATIAL (2021)
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)
Kamil Tagowski, Piotr Bielak, Tomasz Kajdanowicz
Embedding Alignment Methods in Dynamic Networks. ICCS (1) (2021)
Izabela Krysinska, Mikolaj Morzy, Tomasz Kajdanowicz
Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality Ranking. ICANN (4) (2021)
Albert Sawczyn, Jakub Binkowski, Denis Janiak, Lukasz Augustyniak, Tomasz Kajdanowicz
Fact-checking: relevance assessment of references in the Polish political domain. KES (2021)
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)
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
Graph Barlow Twins: A self-supervised representation learning framework for graphs. CoRR (2021)
Rajmund Kleminski, Przemyslaw Kazienko, Tomasz Kajdanowicz
Where should I publish? Heterogeneous, networks-based prediction of paper's citation success. J. Informetrics 15 (3) (2021)
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) (2021)
Kamil Raczycki, Marcin Szymanski, Yahor Yeliseyenka, Piotr Szymanski, Tomasz Kajdanowicz
Spatial Data Mining of Public Transport Incidents reported in Social Media. CoRR (2021)
Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
Comprehensive analysis of aspect term extraction methods using various text embeddings. Comput. Speech Lang. 69 (2021)
Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz, Michal Bernaczyk
Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections. CoRR (2020)
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 (2020)
Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
AttrE2vec: Unsupervised Attributed Edge Representation Learning. CoRR (2020)
Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree. NeurIPS (2020)
Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz
UCSG-Net - Unsupervised Discovering of Constructive Solid Geometry Tree. CoRR (2020)
Piotr Szymanski, Tomasz Kajdanowicz
scikit-multilearn: A Python library for Multi-Label Classification. J. Mach. Learn. Res. 20 (2019)
Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
Extracting Aspects Hierarchies using Rhetorical Structure Theory. CoRR (2019)
Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Piotr Bielak, Przemyslaw Kazienko, Nitesh V. Chawla
Incremental embedding for temporal networks. CoRR (2019)
Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF. CoRR (2019)
Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
Aspect Detection using Word and Char Embeddings with (Bi) LSTM and CRF. AIKE (2019)
Roman Bartusiak, Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki
WordNet2Vec: Corpora agnostic word vectorization method. Neurocomputing (2019)
Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings. CoRR (2019)
Piotr Szymanski, Tomasz Kajdanowicz, Nitesh V. Chawla
LNEMLC: Label Network Embeddings for Multi-Label Classifiation. CoRR (2018)
Mikolaj Morzy, Tomasz Kajdanowicz
Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures. Entropy 20 (12) (2018)
Mikolaj Morzy, Tomasz Kajdanowicz
Entropy and Graph Energy of Complex Networks. CoRR (2018)
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) (2018)
Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
Extracting Aspects Hierarchies using Rhetorical Structure Theory. ACAI (2018)
Mikolaj Morzy, Tomasz Kajdanowicz, Przemyslaw Kazienko, Grzegorz Miebs, Arkadiusz Rusin
Priority Attachment: a Universal Mechanism for Generating Networks. CoRR (2018)
Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Przemyslaw Kazienko
Incremental Learning in Dynamic Networks for Node Classification. ENIC (2017)
Mikolaj Morzy, Tomasz Kajdanowicz, Przemyslaw Kazienko
On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy. Complex. 2017 (2017)
Manuel Chica, José Barranquero, Tomasz Kajdanowicz, Sergio Damas, Oscar Cordón
Multimodal optimization: An effective framework for model calibration. Inf. Sci. 375 (2017)
Piotr Szymanski, Tomasz Kajdanowicz
Is a Data-Driven Approach Still Better Than Random Choice with Naive Bayes Classifiers? ACIIDS (1) (2017)
Piotr Szymanski, Tomasz Kajdanowicz
A scikit-based Python environment for performing multi-label classification. CoRR (2017)
Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz
Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis. CoRR (2017)
Piotr Szymanski, Tomasz Kajdanowicz
Is a Data-Driven Approach still Better than Random Choice with Naive Bayes classifiers? CoRR (2017)
Rajmund Kleminski, Tomasz Kajdanowicz, Roman Bartusiak, Przemyslaw Kazienko
On Quality Assesement in Wikipedia Articles Based on Markov Random Fields. ACIIDS (1) (2017)
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 (2017)
Piotr Szymanski, Tomasz Kajdanowicz
A Network Perspective on Stratification of Multi-Label Data. LIDTA@PKDD/ECML (2017)
Piotr Szymanski, Tomasz Kajdanowicz
A Network Perspective on Stratification of Multi-Label Data. CoRR (2017)
Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz
Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis. ACIIDS (1) (2017)
Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko
Learning in unlabeled networks - An active learning and inference approach. AI Commun. 29 (1) (2016)
Tomasz Kajdanowicz, Mikolaj Morzy
Using Graph and Vertex Entropy to Compare Empirical Graphs with Theoretical Graph Models. Entropy 18 (9) (2016)
Lukasz Augustyniak, Piotr Szymanski, Tomasz Kajdanowicz, Wlodzimierz Tuliglowicz
Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis. Entropy 18 (1) (2016)
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) (2016)
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)
Roman Bartusiak, Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki
WordNet2Vec: Corpora Agnostic Word Vectorization Method. CoRR (2016)
Mikolaj Morzy, Przemyslaw Kazienko, Tomasz Kajdanowicz
Priority rank model for social network generation. ASONAM (2016)
Jaroslaw Jankowski, Przemyslaw Kazienko, Boleslaw K. Szymanski, Piotr Bródka, Radoslaw Michalski, Tomasz Kajdanowicz
Sequential Seeding in Complex Networks: Trading Speed for Coverage. CoRR (2016)
Lukasz Augustyniak, Piotr Szymanski, Tomasz Kajdanowicz, Przemyslaw Kazienko
Fast and Accurate - Improving Lexicon-Based Sentiment Classification with an Ensemble Methods. ACIIDS (2) (2016)
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 (2016)
Marcin Kulisiewicz, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki
On Sentiment Polarity Assignment in the Wordnet Using Loopy Belief Propagation. HAIS (2015)
Adrian Popiel, Przemyslaw Kazienko, Tomasz Kajdanowicz
MuNeG: The Framework for Multilayer Network Generator. ASONAM (2015)
Roman Bartusiak, Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
Sentiment Analysis for Polish Using Transfer Learning Approach. ENIC (2015)
Roman Bartusiak, Tomasz Kajdanowicz
Sentiment Analysis Based on Collaborative Data for Polish Language. CDVE (2015)
Tomasz Kajdanowicz
Relational Classification Using Random Walks in Graphs. New Gener. Comput. 33 (4) (2015)
Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko
Learning in Unlabeled Networks - An Active Learning and Inference Approach. CoRR (2015)
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)
Tomasz Kajdanowicz, Wojciech Indyk, Przemyslaw Kazienko
MapReduce approach to relational influence propagation in complex networks. Pattern Anal. Appl. 17 (4) (2014)
Tomasz Kajdanowicz, Przemyslaw Kazienko, Wojciech Indyk
Parallel processing of large graphs. Future Gener. Comput. Syst. 32 (2014)
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)
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)
Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Marcin Kulisiewicz, Wlodzimierz Tuliglowicz
An Approach to Sentiment Analysis of Movie Reviews: Lexicon Based vs. Classification. HAIS (2014)
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) (2014)
Radoslaw Michalski, Tomasz Kajdanowicz, Piotr Bródka, Przemyslaw Kazienko
Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach. CoRR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tomasz Kajdanowicz