Tomasz Kajdanowicz

170 papers A* 5B 6C 7Misc 4Journal 82Unranked 60

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs. EACL (Findings) Albert Sawczyn, Jakub Binkowski, Denis Janiak, Bogdan Gabrys, Tomasz Kajdanowicz
2025	—	`conf`	A Multi-Stage LLM Framework for Generating Realistic Synthetic Medical Datasets. AMCIS Mikolaj Holysz, Mateusz Bystronski, Grzegorz Aleksander Piotrowski, Grzegorz Chodak, Tomasz Kajdanowicz
2025	—	`conf`	Decision Trees and Machine Learning for Cybersecurity: How Model Settings Affect Attack Detection. ICCS (Workshops 1) Konrad Lukiewicz, Michal Podpora, Grzegorz Dralus, Damian Mazur, Jakub Dralus, Tomasz Kajdanowicz, Aleksandra Kawala-Sterniuk
2025	J	`jnl`	Dissecting Mahalanobis: How Feature Geometry and Normalization Shape OOD Detection. CoRR Denis Janiak, Jakub Binkowski, Tomasz Kajdanowicz
2025	J	`jnl`	FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs. CoRR Albert Sawczyn, Jakub Binkowski, Denis Janiak, Bogdan Gabrys, Tomasz Kajdanowicz
2025	A*	`conf`	Hallucination Detection in LLMs Using Spectral Features of Attention Maps. EMNLP Jakub Binkowski, Denis Janiak, Albert Sawczyn, Bogdan Gabrys, Tomasz Kajdanowicz
2025	J	`jnl`	Hallucination Detection in LLMs Using Spectral Features of Attention Maps. CoRR Jakub Binkowski, Denis Janiak, Albert Sawczyn, Bogdan Gabrys, Tomasz Kajdanowicz
2025	—	`conf`	Implementation of Convolutional Neural Networks for the Purpose of Five Types of White Blood Cells Automatic Counting. ICCS (Workshops 1) Grzegorz Dralus, Damian Mazur, Konrad Lukiewicz, Michal Podpora, Jacek Bartman, Henryk Racheniuk, Tomasz Kajdanowicz, Aleksandra Kawala-Sterniuk
2025	J	`jnl`	Large Language Models as Innovators: A Framework to Leverage Latent Space Exploration for Novelty Discovery. CoRR Mateusz Bystronski, Mikolaj Holysz, Grzegorz Piotrowski, Nitesh V. Chawla, Tomasz Kajdanowicz
2025	J	`jnl`	LatentPrompt: Optimizing Promts in Latent Space. CoRR Mateusz Bystronski, Grzegorz Piotrowski, Nitesh V. Chawla, Tomasz Kajdanowicz
2025	—	`conf`	Non-Parametric Spectral Analysis of Slow Wave Activity in Resting-State EEG as a Biomarker of Dementia Risk. ICDM (Workshops) Waldemar Bauer, Mariusz Pelc, Katarzyna Bialas, Tomasz Kajdanowicz, Aleksandra Kawala-Sterniuk
2025	J	`jnl`	PLLuM: A Family of Polish Large Language Models. CoRR Jan Kocon, Maciej Piasecki, Arkadiusz Janz, Teddy Ferdinan, Lukasz Radlinski, Bartlomiej Koptyra, Marcin Oleksy, Stanislaw Wozniak, Pawel Walkowiak, Konrad Wojtasik, Julia Moska, Tomasz Naskret, Bartosz Walkowiak, Mateusz Gniewkowski, Kamil Szyc, Dawid Motyka, Dawid Banach, Jonatan Dalasinski, Ewa Rudnicka, Bartlomiej Alberski, Tomasz Walkowiak, Aleksander Szczesny, Maciej Markiewicz, Tomasz Bernas, Hubert Mazur, Kamil Zyta, Mateusz Tykierko, Grzegorz Chodak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Agnieszka Karlinska, Karolina Seweryn, Anna Kolos, Maciej Chrabaszcz, Katarzyna Lorenc, Aleksandra Krasnodebska, Artur Wilczek, Katarzyna Dziewulska, Paula Betscher, Zofia Cieslinska, Katarzyna Kowol, Daria Mikos, Maciej Trzcinski, Dawid Krutul, Marek Kozlowski, Slawomir Dadas, Rafal Poswiata, Michal Perelkiewicz, Malgorzata Grebowiec, Maciej Kazula, Marcin Bialas, Roman Roszko, Danuta Roszko, Jurgita Vaicenoniene, Andrius Utka, Pawel Levchuk, Pawel Kowalski, Irena Prawdzic-Jankowska, Maciej Ogrodniczuk, Monika Borys, Anna Bulinska, Wiktoria Gumienna, Witold Kieras, Dorota Komosinska, Katarzyna Krasnowska-Kieras, Lukasz Kobylinski, Martyna Lewandowska, Marek Lazinski, Mikolaj Latkowski, Dawid Mastalerz, Beata Milewicz, Agnieszka Anna Mykowiecka, Angelika Peljak-Lapinska, Sandra Penno, Zuzanna Przybysz, Michal Rudolf, Piotr Rybak, Karolina Saputa, Aleksandra Tomaszewska, Aleksander Wawer, Marcin Wolinski, Joanna Woloszyn, Alina Wróblewska, Bartosz Zuk, Filip Zarnecki, Konrad Kaczynski, Anna Cichosz, Zuzanna Deckert, Monika Garnys, Izabela Grabarczyk, Wojciech Janowski, Sylwia Karasinska, Aleksandra Kujawiak, Piotr Misztela, Maria Szymanska, Karolina Walkusz, Igor Siek, Jakub Kwiatkowski, Piotr Pezik
2025	J	`jnl`	SMOTExT: SMOTE meets Large Language Models. CoRR Mateusz Bystronski, Mikolaj Holysz, Grzegorz Piotrowski, Nitesh V. Chawla, Tomasz Kajdanowicz
2025	A*	`conf`	The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs. EMNLP Denis Janiak, Jakub Binkowski, Albert Sawczyn, Bogdan Gabrys, Ravid Shwartz-Ziv, Tomasz Kajdanowicz
2025	J	`jnl`	The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs. CoRR Denis Janiak, Jakub Binkowski, Albert Sawczyn, Bogdan Gabrys, Ravid Shwartz-Ziv, Tomasz Kajdanowicz
2025	—	`conf`	When Will the Tokens End? Graph-Based Forecasting for LLMs Output Length. ACL (4) Grzegorz Piotrowski, Mateusz Bystronski, Mikolaj Holysz, Jakub Binkowski, Grzegorz Chodak, Tomasz Kajdanowicz
2024	—	`conf`	Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction. ACL (Findings) Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik, Aleksandra Domogala, Marcin Oleksy, Maciej Piasecki, Tomasz Kajdanowicz
2024	J	`jnl`	Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction. CoRR Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik, Aleksandra Domogala, Marcin Oleksy, Maciej Piasecki, Tomasz Kajdanowicz
2024	—	`conf`	Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings. LREC/COLING Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
2024	J	`jnl`	Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings. CoRR Albert Sawczyn, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
2024	—	`conf`	Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning. ICCS (7) Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
2024	J	`jnl`	MIRAD: A Method for Interpretable Ransomware Attack Detection. IEEE Access Bartosz Marcinkowski, Maja Goschorska, Natalia Wilenska, Jakub Siuta, Tomasz Kajdanowicz
2024	—	`conf`	RDIR: Capturing Temporally-Invariant Representations of Multiple Objects in Videos. WACV (Workshops) Piotr Zielinski, Tomasz Kajdanowicz
2024	—	`conf`	Representation Learning in Multiplex Graphs: Where and How to Fuse Information? ICCS (6) Piotr Bielak, Tomasz Kajdanowicz
2024	J	`jnl`	Representation learning in multiplex graphs: Where and how to fuse information? CoRR Piotr Bielak, Tomasz Kajdanowicz
2023	J	`jnl`	A deeper look at Graph Embedding RetroFitting. J. Comput. Sci. Piotr Bielak, Jakub Binkowski, Albert Sawczyn, Katsiaryna Viarenich, Daria Puchalska, Tomasz Kajdanowicz
2023	—	`conf`	Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. ACL (industry) Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek
2023	J	`jnl`	Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform. CoRR Mateusz Wójcik, Witold Kosciukiewicz, Mateusz Baran, Tomasz Kajdanowicz, Adam Gonczarek
2023	J	`jnl`	Electoral Agitation Data Set: The Use Case of the Polish Election. CoRR Mateusz Baran, Mateusz Wójcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz
2023	—	`conf`	Graph TopoFilter: A Method for Noisy Labels Detection for Graph-Structured Classes. ICCS (3) Artur Budniak, Tomasz Kajdanowicz
2023	—	`conf`	Graph-Level Representations Using Ensemble-Based Readout Functions. ICCS (1) Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz
2023	J	`jnl`	Graph-level representations using ensemble-based readout functions. CoRR Jakub Binkowski, Albert Sawczyn, Denis Janiak, Piotr Bielak, Tomasz Kajdanowicz
2023	A*	`conf`	Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark. NeurIPS Lukasz Augustyniak, Szymon Wozniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikolaj Morzy, Tomasz Kajdanowicz
2023	J	`jnl`	Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark. CoRR Lukasz Augustyniak, Szymon Wozniak, Marcin Gruza, Piotr Gramacki, Krzysztof Rajda, Mikolaj Morzy, Tomasz Kajdanowicz
2023	—	`conf`	RAFEN - Regularized Alignment Framework for Embeddings of Nodes. ICCS (1) Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz
2023	J	`jnl`	RAFEN - Regularized Alignment Framework for Embeddings of Nodes. CoRR Kamil Tagowski, Piotr Bielak, Jakub Binkowski, Tomasz Kajdanowicz
2023	—	`conf`	Similarity-Based Memory Enhanced Joint Entity and Relation Extraction. ICCS (2) Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
2023	J	`jnl`	Similarity-based Memory Enhanced Joint Entity and Relation Extraction. CoRR Witold Kosciukiewicz, Mateusz Wójcik, Tomasz Kajdanowicz, Adam Gonczarek
2023	J	`jnl`	Unveiling the Potential of Probabilistic Embeddings in Self-Supervised Learning. CoRR Denis Janiak, Jakub Binkowski, Piotr Bielak, Tomasz Kajdanowicz
2022	J	`jnl`	Analysis of direct citation, co-citation and bibliographic coupling in scientific topic identification. J. Inf. Sci. Rajmund Kleminski, Przemyslaw Kazienko, Tomasz Kajdanowicz
2022	—	`conf`	Assessment of Massively Multilingual Sentiment Classifiers. WASSA@ACL Krzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Wozniak, Tomasz Kajdanowicz
2022	J	`jnl`	Assessment of Massively Multilingual Sentiment Classifiers. CoRR Krzysztof Rajda, Lukasz Augustyniak, Piotr Gramacki, Marcin Gruza, Szymon Wozniak, Tomasz Kajdanowicz
2022	J	`jnl`	AttrE2vec: Unsupervised attributed edge representation learning. Inf. Sci. Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
2022	J	`jnl`	Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales. CoRR Marcin Lewicki, Tomasz Kajdanowicz, Piotr Bródka, Janusz Sobecki
2022	—	`conf`	Electoral Agitation Dataset: The Use Case of the Polish Election. PoliticalNLP@LREC Mateusz Baran, Mateusz Wójcik, Piotr Kolebski, Michal Bernaczyk, Krzysztof Rajda, Lukasz Augustyniak, Tomasz Kajdanowicz
2022	J	`jnl`	FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings. Knowl. Based Syst. Piotr Bielak, Kamil Tagowski, Maciej Falkiewicz, Tomasz Kajdanowicz, Nitesh V. Chawla
2022	J	`jnl`	Graph Barlow Twins: A self-supervised representation learning framework for graphs. Knowl. Based Syst. Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
2022	J	`jnl`	Heterogeneous relational reasoning in knowledge graphs with reinforcement learning. Inf. Fusion Mandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla
2022	—	`conf`	Learning Scale-Invariant Object Representations with a Single-Shot Convolutional Generative Model. ICCS (3) Piotr Zielinski, Tomasz Kajdanowicz
2022	—	`conf`	Machine Learning-Based Recommender System for Tweeting Factory in Industry 5.0 Paradigm. ACIIDS (Companion) Dariusz Gasior, Slawomir Lasota, Tomasz Kajdanowicz
2022	J	`jnl`	Neural Architecture for Online Ensemble Continual Learning. CoRR Mateusz Wójcik, Witold Kosciukiewicz, Tomasz Kajdanowicz, Adam Gonczarek
2022	—	`conf`	Retrofitting Structural Graph Embeddings with Node Attribute Information. ICCS (1) Piotr Bielak, Daria Puchalska, Tomasz Kajdanowicz
2022	A*	`conf`	This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish. NeurIPS Lukasz Augustyniak, Kamil Tagowski, Albert Sawczyn, Denis Janiak, Roman Bartusiak, Adrian Szymczak, Arkadiusz Janz, Piotr Szymanski, Marcin Watroba, Mikolaj Morzy, Tomasz Kajdanowicz, Maciej Piasecki
2022	J	`jnl`	This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish. CoRR Lukasz Augustyniak, Kamil Tagowski, Albert Sawczyn, Denis Janiak, Roman Bartusiak, Adrian Szymczak, Marcin Watroba, Arkadiusz Janz, Piotr Szymanski, Mikolaj Morzy, Tomasz Kajdanowicz, Maciej Piasecki
2021	J	`jnl`	Comprehensive analysis of aspect term extraction methods using various text embeddings. Comput. Speech Lang. Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
2021	—	`conf`	Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection. ACL/IJCNLP (1) Kamil Kanclerz, Alicja Figas, Marcin Gruza, Tomasz Kajdanowicz, Jan Kocon, Daria Puchalska, Przemyslaw Kazienko
2021	—	`conf`	Curriculum Learning Revisited: Incremental Batch Learning with Instance Typicality Ranking. ICANN (4) Izabela Krysinska, Mikolaj Morzy, Tomasz Kajdanowicz
2021	—	`conf`	Dynamic Pricing and Discounts by Means of Interactive Presentation Systems in Stationary Point of Sales. ICCS (4) Marcin Lewicki, Tomasz Kajdanowicz, Piotr Bródka, Janusz Sobecki
2021	—	`conf`	Embedding Alignment Methods in Dynamic Networks. ICCS (1) Kamil Tagowski, Piotr Bielak, Tomasz Kajdanowicz
2021	B	`conf`	Fact-checking: relevance assessment of references in the Polish political domain. KES Albert Sawczyn, Jakub Binkowski, Denis Janiak, Lukasz Augustyniak, Tomasz Kajdanowicz
2021	J	`jnl`	Graph Barlow Twins: A self-supervised representation learning framework for graphs. CoRR Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
2021	J	`jnl`	Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach. Inf. Process. Manag. Jan Kocon, Alicja Figas, Marcin Gruza, Daria Puchalska, Tomasz Kajdanowicz, Przemyslaw Kazienko
2021	J	`jnl`	Spatial Data Mining of Public Transport Incidents reported in Social Media. CoRR Kamil Raczycki, Marcin Szymanski, Yahor Yeliseyenka, Piotr Szymanski, Tomasz Kajdanowicz
2021	—	`conf`	Spatial data mining of public transport incidents reported in social media. IWCTS@SIGSPATIAL Kamil Raczycki, Marcin Szymanski, Yahor Yeliseyenka, Piotr Szymanski, Tomasz Kajdanowicz
2021	J	`jnl`	Where should I publish? Heterogeneous, networks-based prediction of paper's citation success. J. Informetrics Rajmund Kleminski, Przemyslaw Kazienko, Tomasz Kajdanowicz
2020	J	`jnl`	AttrE2vec: Unsupervised Attributed Edge Representation Learning. CoRR Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
2020	J	`jnl`	Fuzzy Relative Willingness: Modeling Influence of Exogenous Factors in Driving Information Propagation Through a Social Network. IEEE Access Suman Kundu, Tomasz Kajdanowicz, Przemyslaw Kazienko, Nitesh V. Chawla
2020	J	`jnl`	Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections. CoRR Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz, Michal Bernaczyk
2020	A*	`conf`	UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree. NeurIPS Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz
2020	J	`jnl`	UCSG-Net - Unsupervised Discovering of Constructive Solid Geometry Tree. CoRR Kacper Kania, Maciej Zieba, Tomasz Kajdanowicz
2019	—	`conf`	Aspect Detection using Word and Char Embeddings with (Bi) LSTM and CRF. AIKE Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
2019	J	`jnl`	Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF. CoRR Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
2019	J	`jnl`	Comprehensive Analysis of Aspect Term Extraction Methods using Various Text Embeddings. CoRR Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
2019	J	`jnl`	Extracting Aspects Hierarchies using Rhetorical Structure Theory. CoRR Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
2019	J	`jnl`	Incremental embedding for temporal networks. CoRR Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Piotr Bielak, Przemyslaw Kazienko, Nitesh V. Chawla
2019	J	`jnl`	WordNet2Vec: Corpora agnostic word vectorization method. Neurocomputing Roman Bartusiak, Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki
2019	J	`jnl`	scikit-multilearn: A Python library for Multi-Label Classification. J. Mach. Learn. Res. Piotr Szymanski, Tomasz Kajdanowicz
2018	—	`ch.`	Collective Classification. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Tomasz Kajdanowicz, Przemyslaw Kazienko
2018	—	`ch.`	Collective Classification: Structural Features. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Przemyslaw Kazienko, Tomasz Kajdanowicz
2018	—	`ch.`	Distributed Processing of Networked Data. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Przemyslaw Kazienko, Wojciech Indyk, Tomasz Kajdanowicz, Roman Bartusiak
2018	J	`jnl`	Entropy and Graph Energy of Complex Networks. CoRR Mikolaj Morzy, Tomasz Kajdanowicz
2018	—	`conf`	Extracting Aspects Hierarchies using Rhetorical Structure Theory. ACAI Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
2018	J	`jnl`	Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures. Entropy Mikolaj Morzy, Tomasz Kajdanowicz
2018	J	`jnl`	LNEMLC: Label Network Embeddings for Multi-Label Classifiation. CoRR Piotr Szymanski, Tomasz Kajdanowicz, Nitesh V. Chawla
2018	J	`jnl`	Priority Attachment: a Universal Mechanism for Generating Networks. CoRR Mikolaj Morzy, Tomasz Kajdanowicz, Przemyslaw Kazienko, Grzegorz Miebs, Arkadiusz Rusin
2018	J	`jnl`	Spatio-Temporal Profiling of Public Transport Delays Based on Large-Scale Vehicle Positioning Data From GPS in Wrocław. IEEE Trans. Intell. Transp. Syst. Piotr Szymanski, Michal Zolnieruk, Piotr Oleszczyk, Igor Gisterek, Tomasz Kajdanowicz
2017	—	`conf`	A Network Perspective on Stratification of Multi-Label Data. LIDTA@PKDD/ECML Piotr Szymanski, Tomasz Kajdanowicz
2017	J	`jnl`	A Network Perspective on Stratification of Multi-Label Data. CoRR Piotr Szymanski, Tomasz Kajdanowicz
2017	J	`jnl`	A scikit-based Python environment for performing multi-label classification. CoRR Piotr Szymanski, Tomasz Kajdanowicz
2017	—	`conf`	Incremental Learning in Dynamic Networks for Node Classification. ENIC Tomasz Kajdanowicz, Kamil Tagowski, Maciej Falkiewicz, Przemyslaw Kazienko
2017	—	`conf`	Is a Data-Driven Approach Still Better Than Random Choice with Naive Bayes Classifiers? ACIIDS (1) Piotr Szymanski, Tomasz Kajdanowicz
2017	J	`jnl`	Is a Data-Driven Approach still Better than Random Choice with Naive Bayes classifiers? CoRR Piotr Szymanski, Tomasz Kajdanowicz
2017	—	`conf`	Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis. ACIIDS (1) Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz
2017	J	`jnl`	Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis. CoRR Lukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz
2017	J	`jnl`	Multimodal optimization: An effective framework for model calibration. Inf. Sci. Manuel Chica, José Barranquero, Tomasz Kajdanowicz, Sergio Damas, Oscar Cordón
2017	J	`jnl`	On Measuring the Complexity of Networks: Kolmogorov Complexity versus Entropy. Complex. Mikolaj Morzy, Tomasz Kajdanowicz, Przemyslaw Kazienko
2017	—	`conf`	On Quality Assesement in Wikipedia Articles Based on Markov Random Fields. ACIIDS (1) Rajmund Kleminski, Tomasz Kajdanowicz, Roman Bartusiak, Przemyslaw Kazienko
2017	J	`jnl`	Spatio-temporal profiling of public transport delays based on large scale vehicle positioning data from GPS in Wrocław. CoRR Piotr Szymanski, Michal Zolnieruk, Piotr Oleszczyk, Igor Gisterek, Tomasz Kajdanowicz
2016	J	`jnl`	Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis. Entropy Lukasz Augustyniak, Piotr Szymanski, Tomasz Kajdanowicz, Wlodzimierz Tuliglowicz
2016	—	`conf`	Cooperation Prediction in GitHub Developers Network with Restricted Boltzmann Machine. ACIIDS (2) Roman Bartusiak, Tomasz Kajdanowicz, Adam Wierzbicki, Leszek Bukowski, Oskar Jarczyk, Kamil Pawlak
2016	—	`conf`	Fast and Accurate - Improving Lexicon-Based Sentiment Classification with an Ensemble Methods. ACIIDS (2) Lukasz Augustyniak, Piotr Szymanski, Tomasz Kajdanowicz, Przemyslaw Kazienko
2016	J	`jnl`	How Is a Data-Driven Approach Better than Random Choice in Label Space Division for Multi-Label Classification? Entropy Piotr Szymanski, Tomasz Kajdanowicz, Kristian Kersting
2016	J	`jnl`	How is a data-driven approach better than random choice in label space division for multi-label classification? CoRR Piotr Szymanski, Tomasz Kajdanowicz, Kristian Kersting
2016	J	`jnl`	Learning in unlabeled networks - An active learning and inference approach. AI Commun. Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko
2016	B	`conf`	Priority rank model for social network generation. ASONAM Mikolaj Morzy, Przemyslaw Kazienko, Tomasz Kajdanowicz
2016	J	`jnl`	Sequential Seeding in Complex Networks: Trading Speed for Coverage. CoRR Jaroslaw Jankowski, Przemyslaw Kazienko, Boleslaw K. Szymanski, Piotr Bródka, Radoslaw Michalski, Tomasz Kajdanowicz
2016	J	`jnl`	Using Graph and Vertex Entropy to Compare Empirical Graphs with Theoretical Graph Models. Entropy Tomasz Kajdanowicz, Mikolaj Morzy
2016	J	`jnl`	WordNet2Vec: Corpora Agnostic Word Vectorization Method. CoRR Roman Bartusiak, Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki
2015	—	`conf`	A methodology for mining clinical data: experiences from TRANSFoRm project. MIE Roxana Dánger, Derek Corrigan, Jean Karl Soler, Przemyslaw Kazienko, Tomasz Kajdanowicz, Azeem Majeed, Vasa Curcin
2015	J	`jnl`	Learning in Unlabeled Networks - An Active Learning and Inference Approach. CoRR Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko
2015	B	`conf`	MuNeG: The Framework for Multilayer Network Generator. ASONAM Adrian Popiel, Przemyslaw Kazienko, Tomasz Kajdanowicz
2015	Misc	`conf`	On Sentiment Polarity Assignment in the Wordnet Using Loopy Belief Propagation. HAIS Marcin Kulisiewicz, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki
2015	J	`jnl`	Relational Classification Using Random Walks in Graphs. New Gener. Comput. Tomasz Kajdanowicz
2015	C	`conf`	Sentiment Analysis Based on Collaborative Data for Polish Language. CDVE Roman Bartusiak, Tomasz Kajdanowicz
2015	—	`conf`	Sentiment Analysis for Polish Using Transfer Learning Approach. ENIC Roman Bartusiak, Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko
2014	Misc	`conf`	An Approach to Sentiment Analysis of Movie Reviews: Lexicon Based vs. Classification. HAIS Lukasz Augustyniak, Tomasz Kajdanowicz, Przemyslaw Kazienko, Marcin Kulisiewicz, Wlodzimierz Tuliglowicz
2014	—	`conf`	Belief Propagation Method for Word Sentiment in WordNet 3.0. ACIIDS (2) Andrzej Misiaszek, Przemyslaw Kazienko, Marcin Kulisiewicz, Lukasz Augustyniak, Wlodzimierz Tuliglowicz, Adrian Popiel, Tomasz Kajdanowicz
2014	—	`ch.`	Collective Classification, Structural Features. Encyclopedia of Social Network Analysis and Mining Przemyslaw Kazienko, Tomasz Kajdanowicz
2014	—	`ch.`	Collective Classification. Encyclopedia of Social Network Analysis and Mining Tomasz Kajdanowicz, Przemyslaw Kazienko
2014	—	`ch.`	Distributed Processing of Networked Data. Encyclopedia of Social Network Analysis and Mining Przemyslaw Kazienko, Wojciech Indyk, Tomasz Kajdanowicz
2014	J	`jnl`	MapReduce approach to relational influence propagation in complex networks. Pattern Anal. Appl. Tomasz Kajdanowicz, Wojciech Indyk, Przemyslaw Kazienko
2014	J	`jnl`	Parallel processing of large graphs. Future Gener. Comput. Syst. Tomasz Kajdanowicz, Przemyslaw Kazienko, Wojciech Indyk
2014	J	`jnl`	Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach. CoRR Radoslaw Michalski, Tomasz Kajdanowicz, Piotr Bródka, Przemyslaw Kazienko
2014	J	`jnl`	Seed Selection for Spread of Influence in Social Networks: Temporal vs. Static Approach. New Gener. Comput. Radoslaw Michalski, Tomasz Kajdanowicz, Piotr Bródka, Przemyslaw Kazienko
2014	B	`conf`	Simpler is better? Lexicon-based ensemble sentiment classification beats supervised methods. ASONAM Lukasz Augustyniak, Tomasz Kajdanowicz, Piotr Szymanski, Wlodzimierz Tuliglowicz, Przemyslaw Kazienko, Reda Alhajj, Boleslaw K. Szymanski
2013	B	`conf`	Active learning and inference method for within network classification. ASONAM Tomasz Kajdanowicz, Radoslaw Michalski, Katarzyna Musial, Przemyslaw Kazienko
2013	J	`jnl`	Boosting-based Multi-label Classification. J. Univers. Comput. Sci. Tomasz Kajdanowicz, Przemyslaw Kazienko
2013	Misc	`conf`	Classification Method for Differential Diagnosis Based on the Course of Episode of Care. HAIS Adrian Popiel, Tomasz Kajdanowicz, Przemyslaw Kazienko, Jean Karl Soler, Derek Corrigan, Vasa Curcin, Roxana Dánger Mercaderes, Brendan Delaney
2013	—	`conf`	Competence Region Modelling in Relational Classification. ACIIDS (2) Tomasz Kajdanowicz, Tomasz Filipowski, Przemyslaw Kazienko, Piotr Bródka
2013	C	`conf`	Efficient Usage of Collective Classification Algorithms for Collaborative Decision Making. CDVE Tomasz Kajdanowicz
2013	—	`conf`	From Data to Human Behaviour. SOCIETY Przemyslaw Kazienko, Tomasz Kajdanowicz, Radoslaw Michalski, Piotr Bródka
2013	C	`conf`	Heuristic Classifier Chains for Multi-label Classification. FQAS Tomasz Kajdanowicz, Przemyslaw Kazienko
2013	J	`jnl`	Label-dependent Feature Extraction in Social Networks for Node Classification CoRR Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz
2013	Misc	`conf`	MLG: Enchancing Multi-label Classification with Modularity-Based Label Grouping. HAIS Piotr Szymanski, Tomasz Kajdanowicz
2013	J	`jnl`	Multidimensional Social Network in the Social Recommender System CoRR Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz
2013	J	`jnl`	Parallel Processing of Large Graphs. CoRR Tomasz Kajdanowicz, Przemyslaw Kazienko, Wojciech Indyk
2013	J	`jnl`	Privacy-preserving Data Mining, Sharing and Publishing CoRR Katarzyna Ewa Pasierb, Tomasz Kajdanowicz, Przemyslaw Kazienko
2013	C	`conf`	Relational Propagation of Word Sentiment in WordNet. CDVE Andrzej Misiaszek, Tomasz Kajdanowicz, Przemyslaw Kazienko, Maciej Piasecki
2013	J	`jnl`	Relational large scale multi-label classification method for video categorization. Multim. Tools Appl. Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko
2013	J	`jnl`	Social Recommendations within the Multimedia Sharing Systems CoRR Katarzyna Musial, Przemyslaw Kazienko, Tomasz Kajdanowicz
2012	—	`conf`	Collective Classification Techniques: An Experimental Study. ADBIS Workshops Tomasz Kajdanowicz, Przemyslaw Kazienko, Marcin Janczak
2012	—	`conf`	Comparison of the Efficiency of MapReduce and Bulk Synchronous Parallel Approaches to Large Network Processing. ICDM Workshops Tomasz Kajdanowicz, Wojciech Indyk, Przemyslaw Kazienko, Jakub Kukul
2012	C	`conf`	Cooperative Decision Making Algorithm for Large Networks Using MapReduce Programming Model. CDVE Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko
2012	—	`conf`	Distance Measures in Training Set Selection for Debt Value Prediction. PerMIn Tomasz Kajdanowicz, Slawomir Plamowski, Przemyslaw Kazienko
2012	J	`jnl`	Label-dependent node classification in the network. Neurocomputing Przemyslaw Kazienko, Tomasz Kajdanowicz
2012	—	`conf`	Learning and Inference Order in Structured Output Elements Classification. ACIIDS (1) Tomasz Kajdanowicz, Przemyslaw Kazienko
2012	—	`conf`	MapReduce Approach to Collective Classification for Networks. ICAISC (1) Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko, Slawomir Plamowski
2012	J	`jnl`	Multi-label classification using error correcting output codes. Int. J. Appl. Math. Comput. Sci. Tomasz Kajdanowicz, Przemyslaw Kazienko
2012	J	`jnl`	New Entropy Based Distance for Training Set Selection in Debt Portfolio Valuation. Int. J. Inf. Technol. Web Eng. Tomasz Kajdanowicz, Slawomir Plamowski, Przemyslaw Kazienko
2012	—	`conf`	Transfer Learning Approach to Debt Portfolio Appraisal. HAIS (2) Tomasz Kajdanowicz, Slawomir Plamowski, Przemyslaw Kazienko, Wojciech Indyk
2012	—	`conf`	Web Spam Detection Using MapReduce Approach to Collective Classification. CISIS/ICEUTE/SOCO Special Sessions Wojciech Indyk, Tomasz Kajdanowicz, Przemyslaw Kazienko, Slawomir Plamowski
2012	J	`jnl`	Web-based knowledge exchange through social links in the workplace. Behav. Inf. Technol. Tomasz Filipowski, Przemyslaw Kazienko, Piotr Bródka, Tomasz Kajdanowicz
2011	—	`conf`	A Generic Model for a Multidimensional Temporal Social Network. ICeND Przemyslaw Kazienko, Elzbieta Kukla, Katarzyna Musial, Tomasz Kajdanowicz, Piotr Bródka, Jaroslaw Gaworecki
2011	C	`conf`	A Model for Collaborative Scheduling Based on Competencies. CDVE Tomasz Kajdanowicz
2011	J	`jnl`	Boosting-based Sequential Output Prediction. New Gener. Comput. Tomasz Kajdanowicz, Przemyslaw Kazienko
2011	—	`conf`	Current Trends and Difficulties in Knowledge-Based e-Health Systems. WSKS Katarzyna Ewa Pasierb, Tomasz Kajdanowicz, Przemyslaw Kazienko
2011	J	`jnl`	Multidimensional Social Network in the Social Recommender System. IEEE Trans. Syst. Man Cybern. Part A Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz
2011	—	`conf`	Multidimensional Social Network: Model and Analysis. ICCCI (1) Przemyslaw Kazienko, Katarzyna Musial, Elzbieta Kukla, Tomasz Kajdanowicz, Piotr Bródka
2011	—	`conf`	Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes. ACIIDS (2) Tomasz Kajdanowicz, Michal Wozniak, Przemyslaw Kazienko
2011	—	`conf`	Structured Output Element Ordering in Boosting-Based Classification. HAIS (2) Tomasz Kajdanowicz, Przemyslaw Kazienko
2010	—	`conf`	A Method of Label-Dependent Feature Extraction in Social Networks. ICCCI (2) Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz
2010	—	`conf`	A method for business sequential data prediction. AMCIS Tomasz Kajdanowicz, Przemyslaw Kazienko
2010	—	`conf`	An Assessment of Node Classification Accuracy in Social Networks Using Label-Dependent Feature Extraction. WSKS (1) Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz, Krzysztof Litwin
2010	—	`conf`	Boosting Algorithm with Sequence-Loss Cost Function for Structured Prediction. HAIS (1) Tomasz Kajdanowicz, Przemyslaw Kazienko, Jan Kraszewski
2010	—	`conf`	Incremental Prediction for Sequential Data. ACIIDS (2) Tomasz Kajdanowicz, Przemyslaw Kazienko
2010	—	`conf`	Label-Dependent Feature Extraction in Social Networks for Node Classification. SocInfo Tomasz Kajdanowicz, Przemyslaw Kazienko, Piotr Doskocz
2009	B	`conf`	Hybrid Repayment Prediction for Debt Portfolio. ICCCI Tomasz Kajdanowicz, Przemyslaw Kazienko
2009	C	`conf`	Prediction of Sequential Values for Debt Recovery. CIARP Tomasz Kajdanowicz, Przemyslaw Kazienko
2008	—	`conf`	Profile of the Social Network in Photo Sharing Systems. AMCIS Przemyslaw Kazienko, Katarzyna Musial, Tomasz Kajdanowicz
2008	—	`conf`	Social Recommendations within the Multimedia Sharing Systems. WSKS (1) Katarzyna Musial, Przemyslaw Kazienko, Tomasz Kajdanowicz