Tomasz Kajdanowicz

Orcid: 0000-0002-8417-1012

According to our database1, Tomasz Kajdanowicz authored at least 124 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MIRAD: A Method for Interpretable Ransomware Attack Detection.
IEEE Access, 2024

RDIR: Capturing Temporally-Invariant Representations of Multiple Objects in Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning.
Proceedings of the Computational Science - ICCS 2024, 2024

Representation Learning in Multiplex Graphs: Where and How to Fuse Information?
Proceedings of the Computational Science - ICCS 2024, 2024

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
A deeper look at Graph Embedding RetroFitting.
J. Comput. Sci., April, 2023

Unveiling the Potential of Probabilistic Embeddings in Self-Supervised Learning.
CoRR, 2023

Electoral Agitation Data Set: The Use Case of the Polish Election.
CoRR, 2023

Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RAFEN - Regularized Alignment Framework for Embeddings of Nodes.
Proceedings of the Computational Science - ICCS 2023, 2023

Similarity-Based Memory Enhanced Joint Entity and Relation Extraction.
Proceedings of the Computational Science - ICCS 2023, 2023

Graph TopoFilter: A Method for Noisy Labels Detection for Graph-Structured Classes.
Proceedings of the Computational Science - ICCS 2023, 2023

Graph-Level Representations Using Ensemble-Based Readout Functions.
Proceedings of the Computational Science - ICCS 2023, 2023

Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022
FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings.
Knowl. Based Syst., 2022

Graph Barlow Twins: A self-supervised representation learning framework for graphs.
Knowl. Based Syst., 2022

Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification.
J. Inf. Sci., 2022

AttrE2vec: Unsupervised attributed edge representation learning.
Inf. Sci., 2022

Heterogeneous relational reasoning in knowledge graphs with reinforcement learning.
Inf. Fusion, 2022

Neural Architecture for Online Ensemble Continual Learning.
CoRR, 2022

Assessment of Massively Multilingual Sentiment Classifiers.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Electoral Agitation Dataset: The Use Case of the Polish Election.
Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences, 2022

Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model.
Proceedings of the Computational Science - ICCS 2022, 2022

Retrofitting Structural Graph Embeddings with Node Attribute Information.
Proceedings of the Computational Science - ICCS 2022, 2022

Machine Learning-Based Recommender System for Tweeting Factory in Industry 5.0 Paradigm.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2022

2021
Where should I publish? Heterogeneous, networks-based prediction of paper's citation success.
J. Informetrics, 2021

Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach.
Inf. Process. Manag., 2021

Comprehensive analysis of aspect term extraction methods using various text embeddings.
Comput. Speech Lang., 2021

Fact-checking: relevance assessment of references in the Polish political domain.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Embedding Alignment Methods in Dynamic Networks.
Proceedings of the Computational Science - ICCS 2021, 2021

Dynamic Pricing and Discounts by Means of Interactive Presentation Systems in Stationary Point of Sales.
Proceedings of the Computational Science - ICCS 2021, 2021

Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality Ranking.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Spatial data mining of public transport incidents reported in social media.
Proceedings of the IWCTS@SIGSPATIAL 2021: Proceedings of the 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2021

Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections.
CoRR, 2020

Fuzzy Relative Willingness: Modeling Influence of Exogenous Factors in Driving Information Propagation Through a Social Network.
IEEE Access, 2020

UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
scikit-multilearn: A Python library for Multi-Label Classification.
J. Mach. Learn. Res., 2019

WordNet2Vec: Corpora agnostic word vectorization method.
Neurocomputing, 2019

Incremental embedding for temporal networks.
CoRR, 2019

Aspect Detection using Word and Char Embeddings with (Bi) LSTM and CRF.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019

2018
Collective Classification: Structural Features.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Distributed Processing of Networked Data.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Collective Classification.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wrocław.
IEEE Trans. Intell. Transp. Syst., 2018

Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures.
Entropy, 2018

LNEMLC: Label Network Embeddings for Multi-Label Classifiation.
CoRR, 2018

Entropy and Graph Energy of Complex Networks.
CoRR, 2018

Priority Attachment: a Universal Mechanism for Generating Networks.
CoRR, 2018

Extracting Aspects Hierarchies using Rhetorical Structure Theory.
Proceedings of the 2018 International Conference on Algorithms, 2018

2017
Multimodal optimization: An effective framework for model calibration.
Inf. Sci., 2017

A scikit-based Python environment for performing multi-label classification.
CoRR, 2017

On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy.
Complex., 2017

A Network Perspective on Stratification of Multi-Label Data.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Incremental Learning in Dynamic Networks for Node Classification.
Proceedings of the Network Intelligence Meets User Centered Social Media Networks [4th European Network Intelligence Conference, 2017

Is a Data-Driven Approach Still Better Than Random Choice with Naive Bayes Classifiers?
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

On Quality Assesement in Wikipedia Articles Based on Markov Random Fields.
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis.
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017

2016
How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification?
Entropy, 2016

Using Graph and Vertex Entropy to Compare Empirical Graphs with Theoretical Graph Models.
Entropy, 2016

Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis.
Entropy, 2016

Sequential Seeding in Complex Networks: Trading Speed for Coverage.
CoRR, 2016

Learning in unlabeled networks - An active learning and inference approach.
AI Commun., 2016

Priority rank model for social network generation.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Cooperation Prediction in GitHub Developers Network with Restricted Boltzmann Machine.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

Fast and Accurate - Improving Lexicon-Based Sentiment Classification with an Ensemble Methods.
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015
Relational Classification Using Random Walks in Graphs.
New Gener. Comput., 2015

A methodology for mining clinical data: experiences from TRANSFoRm project.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

On Sentiment Polarity Assignment in the Wordnet Using Loopy Belief Propagation.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

Sentiment Analysis for Polish Using Transfer Learning Approach.
Proceedings of the 2015 Second European Network Intelligence Conference, 2015

Sentiment Analysis Based on Collaborative Data for Polish Language.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2015

MuNeG: The Framework for Multilayer Network Generator.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Collective Classification, Structural Features.
Encyclopedia of Social Network Analysis and Mining, 2014

Distributed Processing of Networked Data.
Encyclopedia of Social Network Analysis and Mining, 2014

Collective Classification.
Encyclopedia of Social Network Analysis and Mining, 2014

MapReduce approach to relational influence propagation in complex networks.
Pattern Anal. Appl., 2014

Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach.
New Gener. Comput., 2014

Parallel processing of large graphs.
Future Gener. Comput. Syst., 2014

An Approach to Sentiment Analysis of Movie Reviews: Lexicon Based vs. Classification.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Belief Propagation Method for Word Sentiment in WordNet 3.0.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013
Relational large scale multi-label classification method for video categorization.
Multim. Tools Appl., 2013

Boosting-based Multi-label Classification.
J. Univers. Comput. Sci., 2013

Privacy-preserving Data Mining, Sharing and Publishing
CoRR, 2013

From Data to Human Behaviour.
Proceedings of the 2013 International Conference on Social Intelligence and Technology, 2013

MLG: Enchancing Multi-label Classification with Modularity-Based Label Grouping.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

Classification Method for Differential Diagnosis Based on the Course of Episode of Care.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

Heuristic Classifier Chains for Multi-label Classification.
Proceedings of the Flexible Query Answering Systems - 10th International Conference, 2013

Relational Propagation of Word Sentiment in WordNet.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2013

Efficient Usage of Collective Classification Algorithms for Collaborative Decision Making.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2013

Active learning and inference method for within network classification.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Competence Region Modelling in Relational Classification.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
Label-dependent node classification in the network.
Neurocomputing, 2012

New Entropy Based Distance for Training Set Selection in Debt Portfolio Valuation.
Int. J. Inf. Technol. Web Eng., 2012

Web-based knowledge exchange through social links in the workplace.
Behav. Inf. Technol., 2012

Multi-label classification using error correcting output codes.
Int. J. Appl. Math. Comput. Sci., 2012

Web Spam Detection Using MapReduce Approach to Collective Classification.
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012

Distance Measures in Training Set Selection for Debt Value Prediction.
Proceedings of the Perception and Machine Intelligence - First Indo-Japan Conference, 2012

Comparison of the Efficiency of MapReduce and Bulk Synchronous Parallel Approaches to Large Network Processing.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

MapReduce Approach to Collective Classification for Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Transfer Learning Approach to Debt Portfolio Appraisal.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Cooperative Decision Making Algorithm for Large Networks Using MapReduce Programming Model.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2012

Collective Classification Techniques: An Experimental Study.
Proceedings of the New Trends in Databases and Information Systems, 2012

Learning and Inference Order in Structured Output Elements Classification.
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

2011
Multidimensional Social Network in the Social Recommender System.
IEEE Trans. Syst. Man Cybern. Part A, 2011

Boosting-based Sequential Output Prediction.
New Gener. Comput., 2011

Current Trends and Difficulties in Knowledge-Based e-Health Systems.
Proceedings of the Information Systems, E-learning, and Knowledge Management Research, 2011

A Generic Model for a Multidimensional Temporal Social Network.
Proceedings of the e-Technologies and Networks for Development, 2011

Multidimensional Social Network: Model and Analysis.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011

Structured Output Element Ordering in Boosting-Based Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

A Model for Collaborative Scheduling Based on Competencies.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2011

Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes.
Proceedings of the Intelligent Information and Database Systems, 2011

2010
An Assessment of Node Classification Accuracy in Social Networks Using Label-Dependent Feature Extraction.
Proceedings of the Knowledge Management, Information Systems, E-Learning, and Sustainability Research, 2010

Label-Dependent Feature Extraction in Social Networks for Node Classification.
Proceedings of the Social Informatics - Second International Conference, 2010

A Method of Label-Dependent Feature Extraction in Social Networks.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010

Boosting Algorithm with Sequence-Loss Cost Function for Structured Prediction.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

A method for business sequential data prediction.
Proceedings of the Sustainable IT Collaboration Around the Globe. 16th Americas Conference on Information Systems, 2010

Incremental Prediction for Sequential Data.
Proceedings of the Intelligent Information and Database Systems, 2010

2009
Hybrid Repayment Prediction for Debt Portfolio.
Proceedings of the Computational Collective Intelligence. Semantic Web, 2009

Prediction of Sequential Values for Debt Recovery.
Proceedings of the Progress in Pattern Recognition, 2009

2008
Social Recommendations within the Multimedia Sharing Systems.
Proceedings of the Emerging Technologies and Information Systems for the Knowledge Society, 2008

Profile of the Social Network in Photo Sharing Systems.
Proceedings of the Learning from the past & charting the future of the discipline. 14th Americas Conference on Information Systems, 2008


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