About
Professor Tomasz Kajdanowicz graduated with an MSc and Ph.D., both with honors, from Wroclaw University of Technology, Poland, in 2008 and 2012, respectively. His doctoral dissertation was awarded The Best Polish Ph.D. Dissertation Award (2012/2013) by the European Association for Artificial Intelligence – Polish Chapter in 2014. He currently serves as an Associate Professor at Wroclaw University of Science and Technology, Poland, in the Faculty of Information and Communication Technology, where he leads the Department of Artificial Intelligence.
Professor Kajdanowicz has been the principal investigator of numerous research projects, including a prestigious European research grant under the CHIST-ERA program, National Science Center grants SONATA, and a grant funded by the Foundation for Polish Science - First Team Grant. He has also initiated and led 15 research projects in collaboration with commercial entities, including major international corporations.
He has served as a co-chair and organizing committee member for numerous workshops and summer schools focusing on Data Science, Artificial Intelligence, Machine Learning, and Big Data (including NeurIPS and ACL). Additionally, he co-organized panel sessions as part of AI House 2025 at the World Economic Forum in Davos.
To date, Professor Kajdanowicz has authored over 160 research articles spanning a broad spectrum of topics, including Ensemble Classification, Collective Classification, Machine Learning, Social Network Analysis, Collaborative Systems, Data Mining, Recommender Systems, Representation Learning, Large Language Models, and Big Data. He holds the ITIL v3 Foundation Certificate and several professional certifications in project management and data science.
His research experience includes conducting studies at Stanford University (USA), the University of Notre Dame (USA), the Technical University of Dortmund (Germany) and holding visiting professorships at the University of Sydney (Australia). His research interests focus on large language models, media analysis, machine learning, and representation learning.
Research Interests
Education
D.Sc. in Information and Communication Technology
Institute of Computer Science, Polish Academy of Sciences · 2020
Stanford Center fo Professional Development "Science - Management - Commercialization"
Stanford University, USA · 2013
Ph.D. in Computer Science, Artificial Intelligence (with honours, national EAI award)
Wroclaw University of Science and Technology · 2012
Postgraduate studies, Project Management (with honours)
Wroclaw University of Science and Technology · 2011
MsC in Computer Science
Wroclaw University of Science and Technology · 2008
Publications
A Multi-Stage LLM Framework for Generating Realistic Synthetic Medical Datasets
2025 · AMCIS 2025
The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
2025 · EMNLP 2025
Decision Trees and ML for Cybersecurity: How Model Settings Affect Attack Detection
2025 · ICCS Workshops 1 (2025)
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
2025 · arXiv 2503.17229
Large Language Models as Innovators: A Framework for Novelty Discovery
2025 · arXiv 2507.13874
Implementation of CNNs for White Blood Cells Automatic Counting
2025 · ICCS Workshops 1 (2025)
Hallucination Detection in LLMs Using Spectral Features of Attention Maps
2025 · EMNLP 2025
LatentPrompt: Optimizing Prompts in Latent Space
2025 · arXiv 2508.02452
Typology of Image Crises Using LLMs: A Novel Approach to Crisis Classification
2025 · J. Contingencies and Crisis Management 33(4)
SMOTExT: SMOTE meets Large Language Models
2025 · arXiv 2505.13434
PLLuM: A Family of Polish Large Language Models
2025 · arXiv 2511.03823
Dissecting Mahalanobis: How Feature Geometry and Normalization Shape OOD Detection
2025 · arXiv 2510.15202
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction
2024 · Findings of ACL 2024
Representation Learning in Multiplex Graphs: Where and How to Fuse Information?
2024 · ICCS (1) 2024
Empowering Small-Scale Knowledge Graphs: Leveraging General-Purpose KGs for Enriched Embeddings
2024 · LREC-COLING 2024
RDIR: Capturing Temporally-Invariant Representations of Multiple Objects in Videos
2024 · WACV Workshops 2024
Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning
2024 · ICCS 2024
MIRAD: A Method for Interpretable Ransomware Attack Detection
2024 · IEEE Access 12
Protect Our Environment from Information Overload
2024 · Nature Human Behaviour 8
Graph-Level Representations Using Ensemble-Based Readout Functions
2023 · ICCS 2023
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
2023 · NeurIPS 2023 (Datasets)
Graph TopoFilter: A Method for Noisy Labels Detection
2023 · ICCS 2023
RAFEN: Regularized Alignment Framework for Embeddings of Nodes
2023 · ICCS 2023
A Deeper Look at Graph Embedding RetroFitting
2023 · J. Computational Science 68
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning
2023 · ACL 2023 Industry
Similarity-Based Memory Enhanced Joint Entity and Relation Extraction
2023 · ICCS 2023
Learning scale-invariant object representations with a single-shot convolutional generative model
2022 · *Computational Science - ICCS 2022 : 22nd International Conference, London, UK, June 21-23, 2022 : proceedings. Pt. 3*
Graph Barlow Twins: a self-supervised representation learning framework for graphs
2022 · *Knowledge-Based Systems*
Retrofitting structural graph embeddings with node attribute information
2022 · *Computational Science - ICCS 2022 : 22nd International Conference London, UK, June 21-23, 2022 : proceedings. Pt. 1*
Electoral agitation data set: the use case of the Polish election
2022 · *LREC 2022 : Workshop Language Resources and Evaluation Conference : 20-25 June 2022 : First Workshop on Natural Language Processing for Political Sciences (PoliticalNLP) : proceedings*
Heterogeneous relational reasoning in knowledge graphs with reinforcement learning
2022 · *Information Fusion*
Assessment of massively multilingual sentiment classifiers
2022 · *WASSA 2022 : The 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, Proceedings of the Workshop, May 26, 2022.*
AttrE2vec: unsupervised attributed edge representation learning
2022 · *Information Sciences*
FILDNE: a framework for Incremental Learning of Dynamic Networks Embeddings
2022 · *Knowledge-Based Systems*
Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification
2022 · *Journal of Information Science*
Spatial data mining of public transport incidents reported in social media
2021 · *IWCTS 2021 : Proceedings of the 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS’21), November 2, 2020, Seattle, WA, USA*
Where should I publish? Heterogeneous, networks-based prediction of paper's citation success
2021 · *Journal of Informetrics*
Controversy and conformity: from generalized to personalized aggressiveness detection
2021 · *The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, August 1-6, 2021 : Proceedings of the Conference, Vol. 1 (Long Papers)*
Embedding alignment methods in dynamic networks
2021 · *Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 1*
Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales
2021 · *Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 4*
Offensive, aggressive, and hate speech analysis: from data-centric to human-centred approach
2021 · *Information Processing & Management*
Comprehensive analysis of aspect term extraction methods using various text embeddings
2021 · *Computer Speech and Language*
Curriculum learning revisited: incremental batch learning with instance typicality ranking
2021 · *Artificial Neural Networks and Machine Learning – ICANN 2021 : 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021 : proceedings. Pt. 4*
Fact-checking: relevance assessment of references in the Polish political domain
2021 · *Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES 2021*
Fuzzy relative willingness: modeling influence of exogenous factors in driving information propagation through a social network
2020 · *IEEE Access*
Political advertising dataset: the use case of the Polish 2020 presidential elections
2020 · *The Fourth Widening Natural Language Processing : Workshop Program of the Workshop, July 5, 2020, Seattle, USA : ACL 2020*
UCSG-NET - Unsupervised Discovering of Constructive Solid Geometry Tree
2020 · *Advances in Neural Information Processing Systems : 34th Conference on Neural Information Processing Systems, NeurIPS 2020 : Vancouver Convention Center, Vancouver, Canada, December 06-12, 2020*
scikit-multilearn: a scikit-based Python environment for performing multi-label classification
2019 · *Journal of Machine Learning Research*
Priority attachment: a comprehensive mechanism for generating networks
2019 · *Scientific Reports*
WordNet2Vec: corpora agnostic word vectorization method
2019 · *Neurocomputing*
Social network structure is predictive of health and wellness
2019 · *PLoS ONE*
Aspect detection using word and char embeddings with (Bi)LSTM and CRF
2019 · *2019 IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 3-5 June 2019, Cagliari, Sardinia, Italy : proceedings.*
Graph energies of egocentric networks and their correlation with vertex centrality measures
2018 · *Entropy*
Extracting aspects hierarchies using Rhetorical Structure Theory
2018 · *ACAI 2018 : Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December 21-23, 2018.*
Distributed processing of networked data
2018 · *Encyclopedia of Social Network Analysis and Mining*
Spatio-temporal profiling of public transport delays based on large-scale vehicle positioning data from GPS in Wrocław
2018 · *IEEE Transactions on Intelligent Transportation Systems*
Incremental learning in dynamic networks for node classification
2018 · *Network intelligence meets user centered social media networks*
Collective classification
2018 · *Encyclopedia of Social Network Analysis and Mining*
Collective classification, structural features
2018 · *Encyclopedia of Social Network Analysis and Mining*
Balancing speed and coverage by sequential seeding in complex networks
2017 · *Scientific Reports*
A network perspective on stratification of multi-label data
2017 · *First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 22 September 2017, ECML-PKDD, Skopje, Macedonia*
Is a data-driven approach still better than random choice with Naive Bayes classifiers?
2017 · *Intelligent Information and Database Systems : 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017 : proceedings. Pt. 1*
On measuring the complexity of networks :Kolmogorov complexity versus entropy
2017 · *Complexity*
On quality assesement in Wikipedia articles based on Markov Random Fields
2017 · *Intelligent Information and Database Systems : 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017 : proceedings. Pt. 1*
Requirements and validation of a prototype learning health system for clinical diagnosis
2017 · *Learning Health Systems*
Method for aspect-based sentiment annotation using rhetorical analysis
2017 · *Intelligent Information and Database Systems : 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017 : proceedings. Pt. 1*
Multimodal optimization: an effective framework for model calibration
2017 · *Information Sciences*
Benford’s distribution in complex networks
2016 · *Scientific Reports*
Priority rank model for social network generation
2016 · *Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 : San Francisco, CA, USA 18-21 August 2016*
Learning in unlabeled networks - an active learning and inference approach
2016 · *AI Communications*
Fast and accurate - improving lexicon-based sentiment classification with an ensemble methods
2016 · *Intelligent Information and Database Systems : 8th Asian Conference, ACIIDS 2016, Da Nang, Vietnam, March 14-16, 2016 : proceedings. Pt. 2*
Cooperation prediction in GitHub developers network with Restricted Boltzmann Machine
2016 · *Intelligent Information and Database Systems : 8th Asian Conference, ACIIDS 2016, Da Nang, Vietnam, March 14-16, 2016 : proceedings. Pt. 2*
Comprehensive study on lexicon-based ensemble classification sentiment analysis
2016 · *Entropy*
Opracowanie algorytmów rekomendacji biznesowych uwzględniających dodatkowe informacje o klientach i ich relacjach ze sprzedawcą w wirtualnej sieci sprzedaży
2016
Three is more interesting than two :words against publishing methods for sentiment analysis tested only for two classes
2016 · *14th Students' Science Conference : management and algorithms, 22-25 September, 2016.*
How to prevent user abusive behavior on webchats?
2016 · *14th Students' Science Conference : management and algorithms, 22-25 September, 2016.*
How is a data-driven approach better than random choice in label space division for multi-label classification?
2016 · *Entropy*
Using graph and vertex entropy to compare empirical graphs with theoretical graph models
2016 · *Entropy*
Using Kolmogorov complexity with graph and vertex entropy to measure similarity of empirical graphs with theoretical graph models
2015
MuNeG - the framework for multilayer network generator
2015 · *Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015 : Paris, France 25-28 August 2015*
A methodology for mining clinical data: experiences from TRANSFoRm project
2015 · *Digital Healthcare Empowering Europeans : proceedings of MIE2015.*
Evidence-based rules from family practice to inform family practice; the learning healthcare system case study on urinary tract infections
2015 · *BMC Family Practice*
Systemy rekomendacyjne z funkcją wspierania decyzji na potrzeby narzędzia Business Intelligence dla wirtualnej sieci punktów sprzedaży :
2015
On sentiment polarity assignment in the Wordnet using Loopy Belief Propagation
2015 · *Hybrid artificial intelligent systems : 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015 : proceedings*
Analiza zastosowania systemów rekomendacyjnych z funkcją wspierania decyzji
2015
Sentiment analysis based on collaborative data for Polish language
2015 · *Cooperative design, visualization, and engineering : 12th international conference, CDVE 2015, Mallorca, Spain, September 20-23, 2015 : proceedings*
Sentiment analysis for Polish using transfer learning approach
2015 · *The Second European Network Intelligence Conference, ENIC 2015 : 21-22 September 2015, Karlskrona, Sweden : proceedings.*
Relational classification using random walks in graphs
2015 · *New Generation Computing*
Inteligentny system regułowy do rekomendacji biznesowych dla wirtualnej sieci sprzedaży :
2015
Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods
2014 · *Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 : Beijing, China, 17-20 August 2014*
Layer reduction and decision fusion in relational classification for multi-layer social networks
2014 · *Web Information Systems Engineering - WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014 : workshop proceedings*
Distributed processing of networked data
2014 · *Encyclopedia of Social Network Analysis and Mining. Vol. 1, A-L*
MapReduce approach to relational influence propagation in complex networks
2014 · *Pattern Analysis and Applications*
An approach to sentiment analysis of movie reviews: lexicon based vs. classification
2014 · *Hybrid artificial intelligence systems : 9th international conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014 : proceedings*
Parallel processing of large graphs
2014 · *Future Generation Computer Systems*
Belief propagation method for word sentiment in WordNet 3.0
2014 · *Intelligent Information and Database Systems : 6th Asian Conference, ACIIDS 2014, Bangkok, Thailand, April 7-9, 2014 : proceedings. Pt. 2*
Seed selection for spread of influence in social networks: temporal vs. static approach
2014 · *New Generation Computing*
Collective classification
2014 · *Encyclopedia of Social Network Analysis and Mining. Vol. 1, A-L*
Collective classification, structural features
2014 · *Encyclopedia of Social Network Analysis and Mining. Vol. 1, A-L*
Classification method for differential diagnosis based on the course of episode of care
2013 · *Hybrid artificial intelligent systems : 8th international conference, HAIS 2013, Salamanca, Spain, September, 11-13, 2013 : proceedings*
Efficient usage of collective classification algorithms for collaborative decision making
2013 · *Cooperative design, visualization, and engineering : 10th international conference, CDVE 2013, Alcudia, Mallorca, Spain, September 22-25, 2013 : proceedings*
Relational propagation of word sentiment in WordNet
2013 · *Cooperative design, visualization, and engineering : 10th international conference, CDVE 2013, Alcudia, Mallorca, Spain, September 22-25, 2013 : proceedings*
Heuristic classifier chains for multi-label classification
2013 · *Flexible Query Answering Systems : 10th International Conference, FQAS 2013, Granada, Spain, September 18-20, 2013 : proceedings*
Active learning and inference method for within network classification
2013 · *The 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013, Niagara Falls, Canada, 25-28 August 2013.*
From data to human behaviour
2013 · *2013 International Conference on Social Intelligence and Technology, State College, Pennsylvania, 8-10 May 2013 : proceedings.*
Boosting-based multi-label classification
2013 · *Journal of Universal Computer Science*
Competence region modelling in relational classification
2013 · *Intelligent Information and Database Systems : 5th Asian Conference, ACIIDS 2013, Kuala Lumpur, Malaysia, March 18-20, 2013 : proceedings. Pt. 2*
Current trends and difficulties in knowledge-based e-health systems
2013 · *Information systems, e-learning, and knowledge management research : 4th World Summit on the Knowledge Society WSKS 2011, Mykonos, Greece, September 21-23, 2011 : revised selected papers*
MLG : enchancing multi-label classification with modularity-based label grouping
2013 · *Hybrid artificial intelligent systems : 8th international conference, HAIS 2013, Salamanca, Spain, September, 11-13, 2013 : proceedings*
Relational large scale multi-label classification method for video categorization
2013 · *Multimedia Tools and Applications*
Comparison of the efficiency of MapReduce and Bulk Synchronous Parallel approaches to large network processing
2012 · *The 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012 : 10 December, Brussels, Belgium, 2012*
Distance measures in training set selection for debt value prediction
2012 · *Perception and Machine Intelligence : First Indo-Japan Conference, PerMIn 2012 Kolkata, India, January 12-13, 2012 : proceedings*
Web-based knowledge exchange through social links in the workplace
2012 · *Behaviour & Information Technology*
Web spam detection using MapReduce approach to collective classification
2012 · *International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions*
Learning and inference order in structured output elements classification
2012 · *Intelligent information and database systems : 4th Asian Conference, ACIIDS 2012, Kaohsiung, Taiwan, March 19-21, 2012 : proceedings. Pt. 1*
MapReduce approach to collective classification for networks
2012 · *Artificial intelligence and soft computing : 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29 - May 3, 2012 : proceedings. Pt. 1*
Transfer learning approach to debt portfolio appraisal
2012 · *Hybrid artificial intelligent systems : 7th international conference, HAIS 2012, Salamanca, Spain, March 28-30, 2012 : proceedings. Pt. 2*
Collective classification techniques :
2012 · *New trends in databases and information systems*
Cooperative decision making algorithm for large networks using MapReduce programming model
2012 · *Cooperative design, visualization, and engineering : 9th international conference, CDVE 2012, Osaka, Japan, September 2-5, 2012 : proceedings*
New entropy based distance for training set selection in debt portfolio valuation
2012 · *International Journal of Information Technology and Web Engineering*
Classification methods based on multi-label problem transformation
2012
Multi-label classification using Error Correcting Output Codes
2012 · *International Journal of Applied Mathematics and Computer Science*
Label-dependent node classification in the network
2012 · *Neurocomputing*
Structured output element ordering in Boosting-Based classification
2011 · *Hybrid artificial intelligent systems : 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011 : proceedings. Pt. 2*
Boosting-based sequential output prediction
2011 · *New Generation Computing*
Multidimensional social network in the social recommender system
2011 · *IEEE Transactions on Systems, Man and Cybernetics. Part A, Systems and Humans*
A generic model for a multidimensional temporal social network
2011 · *e-Technologies and networks for development : First International Conference, ICeND 2011, Dar-es- Salaam, Tanzania, August 3-5, 2011 : proceedings*
A model for collaborative scheduling based on competencies
2011 · *Cooperative design, visualization, and engineering : 8th international conference, CDVE 2011, Hong Kong, China, September 11-14, 2011 : proceedings*
Learning order in boosting-based classification of structured output elements
2011
Privacy-preserving data mining, sharing and publishing
2011 · *Journal of Medical Informatics & Technologies*
Training set selection using entropy based distance
2011 · *2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Amman, Jordan, Dec 6-8, 2011 : conference proceedings*
Multiple Classifier Method for Structured Output Prediction based on Error Correcting Output Codes
2011 · *Intelligent information and database systems : Third International Conference, ACIIDS 2011, Daegu, Korea, April 20-22, 2011 : proceedings. Pt. 2*
Projects feasibility assessment model based on competencies in organization
2011 · *Informatics engineering and information science : International Conference, ICIEIS 2011 Kuala Lumpur, Malaysia, November 14-16, 2011 : proceedings. Pt. I*
Multidimensional social network :model and analysis
2011 · *Computational collective intelligence : technologies and applications : Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011 : proceedings. Pt. 1*
Social network analysis in marketing
2011 · *Customer relationship management and the social and Semantic Web: enabling cliens conexus*
A method for business sequential data prediction
2010
A method of label-dependent feature extraction in social networks
2010 · *Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence*
Label-dependent feature extraction in social networks for node classification
2010 · *Lecture Notes in Computer Science*
An assessment of node classification accuracy in Social Networks using label-dependent feature extraction
2010 · *Knowledge management, information systems, e-learning, and sustainability research : Third World Summit on the Knowledge Society, WSKS 2010, Corfu, Greece, September 22-24, 2010 : proceedings. Pt. 1*
Boosting algorithm with sequence-loss cost function for structured prediction
2010 · *Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence*
Incremental prediction for sequential data
2010 · *Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence*
Base classifiers in boosting-based classification of sequential structures
2010 · *Neural Network World*
Prediction of sequential values for debt recovery
2009 · *Lecture Notes in Computer Science*
Hybrid repayment prediction for debt portfolio
2009 · *Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence*
Computational method for claim portfolio valuation
2009 · *2009 Eighth Mexican International Conference on Artificial Intelligence, MICAI 2009, 9-13 November 2009, Guanajuato, Mexico : proceedings*
Social recommendations within the multimedia sharing systems
2008 · *Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence*
Profile of the social network in photo sharing systems
2008 · *Learning from the past & charting the future of the discipline : 14th Americas Conference on Information Systems, AMCIS 2008 : proceedings, Toronto, Canada, 14-17 August 2008.*
Multirelational social networks multimedia sharing systems
2008 · *Knowledge processing and reasoning for information society*