| 2026 | ACL | Beyond Discrete Search: Divergent Thinking as Intention Optimization in Latent Space. | Mateusz Bystronski, Grzegorz Piotrowski, Tomasz Kajdanowicz |
| 2026 | EACL | FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs. | Albert Sawczyn, Jakub Binkowski, Denis Janiak, Bogdan Gabrys, Tomasz Kajdanowicz |
| 2026 | ICCS | Initial Study on Cancer Diagnosis Using AI/NLP and Expert System Integration. | Mariusz Pelc, Slawomir Stemplewski, Waldemar Bauer, Tomasz Kajdanowicz, Aleksandra Kawala-Sterniuk |
| 2025 | ACIIDS | Multimodal Machine Learning Analysis of fNIRS Signals Using LSTM and KNN Models for Cognitive States and Brain Activation Patterns Prediction. | Adrian Luckiewicz, Dariusz Mikolajewski, Radoslaw Roszczyk, Krzysztof Siwek, Tomasz Kajdanowicz, Mariusz Pelc, Piotr Sterniuk, Edward Jacek Gorzelanczyk, Aleksandra Kawala-Sterniuk |
| 2025 | ACL | When Will the Tokens End? Graph-Based Forecasting for LLMs Output Length. | Grzegorz Piotrowski, Mateusz Bystronski, Mikolaj Holysz, Jakub Binkowski, Grzegorz Chodak, Tomasz Kajdanowicz |
| 2025 | EMNLP | Hallucination Detection in LLMs Using Spectral Features of Attention Maps. | Jakub Binkowski, Denis Janiak, Albert Sawczyn, Bogdan Gabrys, Tomasz Kajdanowicz |
| 2025 | EMNLP | The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs. | Denis Janiak, Jakub Binkowski, Albert Sawczyn, Bogdan Gabrys, Ravid Shwartz-Ziv, Tomasz Kajdanowicz |
| 2025 | ICCS | Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting. | Grzegorz Dralus, Damian Mazur, Konrad Lukiewicz, Michal Podpora, Jacek Bartman, Henryk Racheniuk, Tomasz Kajdanowicz, Aleksandra Kawala-Sterniuk |
| 2025 | ICCS | Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection. | Konrad Lukiewicz, Michal Podpora, Grzegorz Dralus, Damian Mazur, Jakub Dralus, Tomasz Kajdanowicz, Aleksandra Kawala-Sterniuk |
| 2025 | ICDM | Non-Parametric Spectral Analysis of Slow Wave Activity in Resting-State EEG as a Biomarker of Dementia Risk. | Waldemar Bauer, Mariusz Pelc, Katarzyna Bialas, Tomasz Kajdanowicz, Aleksandra Kawala-Sterniuk |
| 2024 | ACL | Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction. | Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik, Aleksandra Domogala, Marcin Oleksy, Maciej Piasecki, Tomasz Kajdanowicz |
| 2024 | COLING | Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings. | Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz |
| 2024 | ICCS | Representation Learning in Multiplex Graphs: Where and How to Fuse Information? | Piotr Bielak, Tomasz Kajdanowicz |
| 2024 | ICCS | Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning. | Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz |
| 2024 | WACV | RDIR: Capturing Temporally-Invariant Representations of Multiple Objects in Videos. | Piotr Zielinski, Tomasz Kajdanowicz |
| 2023 | ACL | Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. | Mateusz Wjcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek |
| 2023 | ICCS | Graph-Level Representations Using Ensemble-Based Readout Functions. | Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz |
| 2023 | ICCS | Graph TopoFilter: A Method for Noisy Labels Detection for Graph-Structured Classes. | Artur Budniak, Tomasz Kajdanowicz |
| 2023 | ICCS | Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. | Witold Kosciukiewicz, Mateusz Wjcik, Tomasz Kajdanowicz, Adam Gonczarek |
| 2023 | ICCS | RAFEN - Regularized Alignment Framework for Embeddings of Nodes. | Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz |
| 2022 | ACIIDS | Machine Learning-Based Recommender System for Tweeting Factory in Industry 5.0 Paradigm. | Dariusz Gasior, Slawomir Lasota, Tomasz Kajdanowicz |
| 2022 | ICCS | Retrofitting Structural Graph Embeddings with Node Attribute Information. | Piotr Bielak, Daria Puchalska, Tomasz Kajdanowicz |
| 2022 | ICCS | Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model. | Piotr Zielinski, Tomasz Kajdanowicz |
| 2022 | LREC | Electoral Agitation Dataset: The Use Case of the Polish Election. | Mateusz Baran, Mateusz Wjcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz |
| 2021 | ACL | Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection. | Kamil Kanclerz, Alicja Figas, Marcin Gruza, Tomasz Kajdanowicz, Jan Kocon, Daria Puchalska, Przemyslaw Kazienko |
| 2021 | ICANN | Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality Ranking. | Izabela Krysinska, Mikolaj Morzy, Tomasz Kajdanowicz |
| 2021 | ICCS | Dynamic Pricing and Discounts by Means of Interactive Presentation Systems in Stationary Point of Sales. | Marcin Lewicki, Tomasz Kajdanowicz, Piotr Brdka, Janusz Sobecki |
| 2021 | ICCS | Embedding Alignment Methods in Dynamic Networks. | Kamil Tagowski, Piotr Bielak, Tomasz Kajdanowicz |
| 2021 | KES | Fact-checking: relevance assessment of references in the Polish political domain. | Albert Sawczyn, Jakub Binkowski, Denis Janiak, Lukasz Augustyniak, Tomasz Kajdanowicz |
| 2017 | ACIIDS | Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis. | Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz |
| 2017 | ACIIDS | On Quality Assesement in Wikipedia Articles Based on Markov Random Fields. | Rajmund Kleminski, Tomasz Kajdanowicz, Roman Bartusiak, Przemyslaw Kazienko |
| 2017 | ACIIDS | Is a Data-Driven Approach Still Better Than Random Choice with Naive Bayes Classifiers? | Piotr Szymanski, Tomasz Kajdanowicz |
| 2016 | ACIIDS | Fast and Accurate - Improving Lexicon-Based Sentiment Classification with an Ensemble Methods. | Lukasz Augustyniak, Piotr Szymanski, Tomasz Kajdanowicz, Przemyslaw Kazienko |
| 2016 | ACIIDS | Cooperation Prediction in GitHub Developers Network with Restricted Boltzmann Machine. | Roman Bartusiak, Tomasz Kajdanowicz, Adam Wierzbicki, Leszek Bukowski, Oskar Jarczyk, Kamil Pawlak |
| 2015 | CDVE | Sentiment Analysis Based on Collaborative Data for Polish Language. | Roman Bartusiak, Tomasz Kajdanowicz |
| 2015 | HAIS | On Sentiment Polarity Assignment in the Wordnet Using Loopy Belief Propagation. | Marcin Kulisiewicz, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki |
| 2014 | ACIIDS | Belief Propagation Method for Word Sentiment in WordNet 3.0. | Andrzej Misiaszek, Przemyslaw Kazienko, Marcin Kulisiewicz, Lukasz Augustyniak, Wlodzimierz Tuliglowicz, Adrian Popiel, Tomasz Kajdanowicz |
| 2014 | HAIS | An Approach to Sentiment Analysis of Movie Reviews: Lexicon Based vs. Classification. | Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Marcin Kulisiewicz, Wlodzimierz Tuliglowicz |
| 2013 | ACIIDS | Competence Region Modelling in Relational Classification. | Tomasz Kajdanowicz, Tomasz Filipowski, Przemyslaw Kazienko, Piotr Brdka |
| 2013 | CDVE | Efficient Usage of Collective Classification Algorithms for Collaborative Decision Making. | Tomasz Kajdanowicz |
| 2013 | CDVE | Relational Propagation of Word Sentiment in WordNet. | Andrzej Misiaszek, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki |
| 2013 | FQAS | Heuristic Classifier Chains for Multi-label Classification. | Tomasz Kajdanowicz, Przemyslaw Kazienko |
| 2013 | HAIS | Classification Method for Differential Diagnosis Based on the Course of Episode of Care. | Adrian Popiel, Tomasz Kajdanowicz, Przemyslaw Kazienko, Jean Karl Soler, Derek Corrigan, Vasa Curcin, Roxana Dnger Mercaderes, Brendan Delaney |
| 2013 | HAIS | MLG: Enchancing Multi-label Classification with Modularity-Based Label Grouping. | Piotr Szymanski, Tomasz Kajdanowicz |
| 2012 | ACIIDS | Learning and Inference Order in Structured Output Elements Classification. | Tomasz Kajdanowicz, Przemyslaw Kazienko |
| 2012 | ADBIS | Collective Classification Techniques: An Experimental Study. | Tomasz Kajdanowicz, Przemyslaw Kazienko, Marcin Janczak |
| 2012 | CDVE | Cooperative Decision Making Algorithm for Large Networks Using MapReduce Programming Model. | Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko |
| 2012 | HAIS | Transfer Learning Approach to Debt Portfolio Appraisal. | Tomasz Kajdanowicz, Slawomir Plamowski, Przemyslaw Kazienko, Wojciech Indyk |
| 2012 | ICAISC | MapReduce Approach to Collective Classification for Networks. | Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko, Slawomir Plamowski |
| 2012 | ICDM | Comparison of the Efficiency of MapReduce and Bulk Synchronous Parallel Approaches to Large Network Processing. | Tomasz Kajdanowicz, Wojciech Indyk, Przemyslaw Kazienko, Jakub Kukul |
| 2011 | ACIIDS | Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes. | Tomasz Kajdanowicz, Michal Wozniak, Przemyslaw Kazienko |
| 2011 | CDVE | A Model for Collaborative Scheduling Based on Competencies. | Tomasz Kajdanowicz |
| 2011 | HAIS | Structured Output Element Ordering in Boosting-Based Classification. | Tomasz Kajdanowicz, Przemyslaw Kazienko |
| 2011 | ICCCI | Multidimensional Social Network: Model and Analysis. | Przemyslaw Kazienko, Katarzyna Musial, Elzbieta Kukla, Tomasz Kajdanowicz, Piotr Brdka |
| 2010 | ACIIDS | Incremental Prediction for Sequential Data. | Tomasz Kajdanowicz, Przemyslaw Kazienko |
| 2010 | HAIS | Boosting Algorithm with Sequence-Loss Cost Function for Structured Prediction. | Tomasz Kajdanowicz, Przemyslaw Kazienko, Jan Kraszewski |
| 2010 | ICCCI | A Method of Label-Dependent Feature Extraction in Social Networks. | Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz |
| 2009 | CIARP | Prediction of Sequential Values for Debt Recovery. | Tomasz Kajdanowicz, Przemyslaw Kazienko |
| 2009 | ICCCI | Hybrid Repayment Prediction for Debt Portfolio. | Tomasz Kajdanowicz, Przemyslaw Kazienko |