ASPARAGUS - A System for Automatic SPARQL Query Results Aggregation Using Semantics. - Agnieszka Lawrynowicz; Jedrzej Potoniec; Lukasz Konieczny; Michal Madziar; Aleksandra Nowak 002; Krzysztof T. Pawlak (ICCCI (1), 2011)

Fr-ONT: An Algorithm for Frequent Concept Mining with Formal Ontologies. - Agnieszka Lawrynowicz; Jedrzej Potoniec (ISMIS, 2011)

Hypothesis-Driven Interactive Classification Based on AVO. - Tomasz Lukaszewski; Jedrzej Potoniec; Szymon Wilk (ICMMI, 2013)

Towards Ontology Refinement by Combination of Machine Learning and Attribute Exploration. - Jedrzej Potoniec (EKAW (Satellite Events), 2014)

Extracting Usage Patterns of Ontologies on the Web: a Case Study on GoodRelations Vocabulary in RDFa. - Ewa Kowalczuk; Jedrzej Potoniec; Agnieszka Lawrynowicz (OWLED, 2014)

Towards Combining Machine Learning with Attribute Exploration for Ontology Refinement. - Jedrzej Potoniec; Sebastian Rudolph; Agnieszka Lawrynowicz (ISWC (Posters & Demos), 2014)

Pattern Based Feature Construction in Semantic Data Mining. - Agnieszka Lawrynowicz; Jedrzej Potoniec (Int. J. Semantic Web Inf. Syst., 2014)

Combining Ontology Class Expression Generation with Mathematical Modeling for Ontology Learning. - Jedrzej Potoniec; Agnieszka Lawrynowicz (AAAI, 2015)

Towards Memory-Efficient Answering of Tree-Shaped SPARQL Queries using GPUs. - Jedrzej Potoniec; Michal Madziar (ISWC (Posters & Demos), 2015)

Towards Mining Patterns for Exploratory Search with Keval Algorithm. - Tomasz Sosnowski; Jedrzej Potoniec (EKAW (Satellite Events), 2016)

Swift Linked Data Miner Extension for WebProtégé. - Tomasz Sosnowski; Jedrzej Potoniec; Agnieszka Lawrynowicz (EKAW (Satellite Events), 2016)

Not-So-Linked Solution to the Linked Data Mining Challenge 2016. - Jedrzej Potoniec ((KNOW@LOD/CoDeS)@ESWC, 2016)

An On-Line Learning to Query System. - Jedrzej Potoniec (ISWC (Posters & Demos), 2016)

A Protege Plugin with Swift Linked Data Miner. - Jedrzej Potoniec; Agnieszka Lawrynowicz (ISWC (Posters & Demos), 2016)

Swift Linked Data Miner: Mining OWL 2 EL class expressions directly from online RDF datasets. - Jedrzej Potoniec; Piotr Jakubowski; Agnieszka Lawrynowicz (J. Web Semant., 2017)

Finding Unexplainable Triples in an RDF Graph. - Jedrzej Potoniec (ESWC (Satellite Events), 2018)

Competency Questions and SPARQL-OWL Queries Dataset and Analysis. - Dawid Wisniewski; Jedrzej Potoniec; Agnieszka Lawrynowicz; C. Maria Keet (CoRR, 2018)

Discovery of emerging design patterns in ontologies using tree mining. - Agnieszka Lawrynowicz; Jedrzej Potoniec; Michal Robaczyk; Tania Tudorache (Semantic Web, 2018)

Learning SPARQL Queries from Expected Results. - Jedrzej Potoniec (Comput. Informatics, 2019)

Analysis of Ontology Competency Questions and their formalizations in SPARQL-OWL. - Dawid Wisniewski; Jedrzej Potoniec; Agnieszka Lawrynowicz; C. Maria Keet (J. Web Semant., 2019)

Urszula Wali'nska at SemEval-2020 Task 8: Fusion of Text and Image Features Using LSTM and VGG16 for Memotion Analysis. - Urszula Walinska; Jedrzej Potoniec (SemEval@COLING, 2020)

SeeQuery: An Automatic Method for Recommending Translations of Ontology Competency Questions into SPARQL-OWL. - Dawid Wisniewski; Jedrzej Potoniec; Agnieszka Lawrynowicz (CIKM, 2021)

Incorporating Presuppositions of Competency Questions into Test-Driven Development of Ontologies (S). - Jedrzej Potoniec; Dawid Wisniewski; Agnieszka Lawrynowicz (SEKE, 2021)

BigCQ: A large-scale synthetic dataset of competency question patterns formalized into SPARQL-OWL query templates. - Dawid Wisniewski; Jedrzej Potoniec; Agnieszka Lawrynowicz (CoRR, 2021)

BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract). - Dawid Wisniewski; Jedrzej Potoniec; Agnieszka Lawrynowicz (AAAI, 2022)

Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter. - Maciej Hercog; Piotr Jaronski; Jan Kolanowski; Pawel Mieczynski; Dawid Wisniewski; Jedrzej Potoniec (DaWaK, 2022)

Quality Versus Speed in Energy Demand Prediction - Experience Report from an R &D project. - Witold Andrzejewski; Jedrzej Potoniec; Maciej Drozdowski; Jerzy Stefanowski; Robert Wrembel; Pawel Stapf (DEXA (1), 2022)

Inductive Learning of OWL 2 Property Chains. - Jedrzej Potoniec (IEEE Access, 2022)

Quality versus speed in energy demand prediction for district heating systems. - Witold Andrzejewski; Jedrzej Potoniec; Maciej Drozdowski; Jerzy Stefanowski; Robert Wrembel; Pawel Stapf (CoRR, 2022)

Continuous discovery of Causal nets for non-stationary business processes using the Online Miner. - Jedrzej Potoniec; Daniel Sroka; Tomasz P. Pawlak (Eur. J. Oper. Res., 2022)

Is the Proof Length a Good Indicator of Hardness for Reason-able Embeddings? - Jedrzej Potoniec (NeSy, 2023)

Reasoning about Ingredient Substitutions with Ontologies and Rules. - Weronika T. Adrian; Maciej Kutyla; Jedrzej Potoniec; Agnieszka Lawrynowicz (RuleML+RR (Companion), 2023)

Reason-able embeddings: Learning concept embeddings with a transferable neural reasoner. - Dariusz Max Adamski; Jedrzej Potoniec (Semantic Web, 2024)

ProcessM: Intelligent Process Mining software. - Tomasz P. Pawlak; Jedrzej Potoniec (SoftwareX, 2025)