Adam Niewiadomski

According to our database, Adam Niewiadomski authored at least 32 papers between 2003 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Type-2 Fuzzy Logic Systems in Applications: Managing Data in Selective Catalytic Reduction for Air Pollution Prevention.

Adam Niewiadomski, Marcin Kacprowicz

J. Artif. Intell. Soft Comput. Res., 2021

Detecting and Recognizing Outliers in Datasets via Linguistic Information and Type-2 Fuzzy Logic.

Adam Niewiadomski, Agnieszka Duraj

Int. J. Fuzzy Syst., 2021

Outliers Detection In Graph-Represented Databases Using Fuzzy Rules.

Adam Niewiadomski, Marcin Kacprowicz, Monika Bartczak

Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

2019

Detection of outlier information by the use of linguistic summaries based on classic and interval-valued fuzzy sets.

Agnieszka Duraj, Adam Niewiadomski, Piotr S. Szczepaniak

Int. J. Intell. Syst., 2019

2018

Outlier detection using linguistically quantified statements.

Agnieszka Duraj, Adam Niewiadomski, Piotr S. Szczepaniak

Int. J. Intell. Syst., 2018

2017

Linguistic summaries of graph datasets using ontologies: An application to Semantic Web.

Lukasz Strobin, Adam Niewiadomski

J. Intell. Fuzzy Syst., 2017

Hierarchical Fuzzy Logic Systems in Classification: An Application Example.

Krzysztof Renkas, Adam Niewiadomski

Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016

Note onset detection in musical signals via neural-network-based multi-ODF fusion.

Bartlomiej Stasiak, Jedrzej Monko, Adam Niewiadomski

Int. J. Appl. Math. Comput. Sci., 2016

Integration of Multiple Graph Datasets and Their Linguistic Summaries: An Application to Linked Data.

Lukasz Strobin, Adam Niewiadomski

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Learning Rules for Hierarchical Fuzzy Logic Systems Using Wu & Mendel IF-THEN Rules Quality Measures.

Krzysztof Renkas, Adam Niewiadomski

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015

Learning Rules for Hierarchical Fuzzy Logic Systems with Selective Fuzzy Controller Activation.

Krzysztof Renkas, Adam Niewiadomski, Marcin Kacprowicz

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Learning Rules for Type-2 Fuzzy Logic System in the Control of DeNOx Filter.

Marcin Kacprowicz, Adam Niewiadomski, Krzysztof Renkas

Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014

Recommendations and Object Discovery in Graph Databases Using Path Semantic Analysis.

Lukasz Strobin, Adam Niewiadomski

Proceedings of the Artificial Intelligence and Soft Computing, 2014

Hierarchical Fuzzy Logic Systems: Current Research and Perspectives.

Krzysztof Renkas, Adam Niewiadomski

Proceedings of the Artificial Intelligence and Soft Computing, 2014

On Multi-subjectivity in Linguistic Summarization of Relational Databases.

Adam Niewiadomski, Izabela Superson

Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013

Cylindric extensions of interval-valued fuzzy sets in data linguistic summaries.

Adam Niewiadomski

J. Ambient Intell. Humaniz. Comput., 2013

Efficient n-Gram-Based String Matching in Electronic Testing at Programming.

Adam Niewiadomski, Adio T. Akinwale

Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2013

2011

Cylindric Extensions of Fuzzy Sets. An Application to Linguistic Summarization of Data.

Adam Niewiadomski

Proceedings of the Advances in Intelligent Web Mastering - 3, 2011

2010

On Finity, Countability, Cardinalities, and Cylindric Extensions of Type-2 Fuzzy Sets in Linguistic Summarization of Databases.

Adam Niewiadomski

IEEE Trans. Fuzzy Syst., 2010

Methods of Evaluating Degrees of Truth for Linguistic Summaries of Data: A Comparative Analysis.

Adam Niewiadomski, Oskar Korczak

Proceedings of the Artificial Intelligence and Soft Computing, 2010

2008

A Type-2 Fuzzy Approach to Linguistic Summarization of Data.

Adam Niewiadomski

IEEE Trans. Fuzzy Syst., 2008

Imprecision Measures for Type-2 Fuzzy Sets: Applications to Linguistic Summarization of Databases.

Adam Niewiadomski

Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007

Type-2 Fuzzy Summarization of Data: An Improved News Generating.

Adam Niewiadomski

Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Interval-Valued and Interval Type-2 Fuzzy Sets: A Subjective Comparison.

Adam Niewiadomski

Proceedings of the FUZZ-IEEE 2007, 2007

Six New Informativeness Indices of Data Linguistic Summaries.

Adam Niewiadomski

Proceedings of the Advances in Intelligent Web Mastering, Proceedings of the 5th Atlantic Web Intelligence Conference - AWIC 2007, Fontainebleau, France, June 25, 2007

2006

News Generating Via Fuzzy Summarization of Databases.

Adam Niewiadomski

Proceedings of the SOFSEM 2006: Theory and Practice of Computer Science, 2006

Elements of the Type-2 Semantics in Summarizing Databases.

Adam Niewiadomski, Michal Bartyzel

Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005

Interval-Valued Data Structures and Their Application to e-Learning.

Adam Niewiadomski

Proceedings of the SOFSEM 2005: Theory and Practice of Computer Science, 2005

Fuzzy Sets-Based Retranslation of Numerical Data in E-Learning.

Adam Niewiadomski, Bartosz Rybusinski

Proceedings of the Advances in Web Intelligence Third International Atlantic Web IntelligenceConference, 2005

On Two Possible Roles of Type-2 Fuzzy Sets in Linguistic Summaries.

Adam Niewiadomski

Proceedings of the Advances in Web Intelligence Third International Atlantic Web IntelligenceConference, 2005

2004

Fuzzyfication of Indiscernibility Relation for Structurizing Lists of Synonyms and Stop-Lists for Search Engines.

Adam Niewiadomski, P. Kryger, Piotr S. Szczepaniak

Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003

Internet Search Based on Text Intuitionistic Fuzzy Similarity.

Piotr S. Szczepaniak, Adam Niewiadomski

Proceedings of the Intelligent Exploration of the Web, 2003