Using Representation Choice Methods for a Medical Diagnosis Problem. - Kamila Aftarczuk; Adrianna Kozierkiewicz; Ngoc Thanh Nguyen 001 (KES (3), 2006)

The Statistical Verification of Rough Classification Algorithms. - Adrianna Kozierkiewicz; Ngoc Thanh Nguyen 001 (KES (1), 2007)

Determination of Opening Learning Scenarios in Intelligent Tutoring Systems. - Adrianna Kozierkiewicz (New Trends in Multimedia and Network Information Systems, 2008)

A Conception for Modification of Learning Scenario in an Intelligent E-learning System. - Adrianna Kozierkiewicz-Hetmanska (ICCCI, 2009)

A Computer Adaptive Testing Method for Intelligent Tutoring Systems. - Adrianna Kozierkiewicz-Hetmanska; Ngoc Thanh Nguyen 001 (KES (1), 2010)

A Method for Scenario Modification in Intelligent E-Learning Systems Using Graph-Based Structure of Knowledge. - Adrianna Kozierkiewicz-Hetmanska; Ngoc Thanh Nguyen 001 (Advances in Intelligent Information and Database Systems, 2010)

Fuzzy Ontology Integration Using Consensus to Solve Conflicts on Concept Level. - Trong Hai Duong; Ngoc Thanh Nguyen 001; Adrianna Kozierkiewicz-Hetmanska; GeunSik Jo (ACIIDS Posters, 2011)

A method for learning scenario determination and modification in intelligent tutoring systems. - Adrianna Kozierkiewicz-Hetmanska; Ngoc Thanh Nguyen 001 (Int. J. Appl. Math. Comput. Sci., 2011)

A Method for Scenario Recommendation in Intelligent E-Learning Systems. - Adrianna Kozierkiewicz-Hetmanska (Cybern. Syst., 2011)

Evaluating the Effectiveness of Intelligent Tutoring System Offering Personalized Learning Scenario. - Adrianna Kozierkiewicz-Hetmanska (ACIIDS (1), 2012)

Comparison of One-Level and Two-Level Consensuses Satisfying the 2-Optimality Criterion. - Adrianna Kozierkiewicz-Hetmanska (ICCCI (1), 2012)

A Comparison Analysis of Consensus Determining Using One and Two-level Methods. - Adrianna Kozierkiewicz-Hetmanska; Ngoc Thanh Nguyen 001 (KES, 2012)

Evaluation of an Intelligent Tutoring System Incorporating Learning Profile to Determine Learning Scenario. - Adrianna Kozierkiewicz-Hetmanska (KES-AMSTA, 2012)

A Method for Determination of an Opening Learning Scenario in Intelligent Tutoring Systems. - Adrianna Kozierkiewicz-Hetmanska; Dariusz Zysk (ACIIDS (2), 2013)

A Framework for Building Intelligent Tutoring Systems. - Adrianna Kozierkiewicz-Hetmanska; Ngoc Thanh Nguyen 001 (Advanced Computational Methods for Knowledge Engineering, 2013)

An Item Bank Calibration Method for a Computer Adaptive Test. - Adrianna Kozierkiewicz-Hetmanska; Rafal Poniatowski (ACIIDS (1), 2014)

A Privacy-Preserving Framework for Mining Continuous Sequences in Trajectory Systems. - Pawel Jureczek; Adrianna Kozierkiewicz-Hetmanska (ENIC, 2014)

Creating Collaborative Learning Groups in Intelligent Tutoring Systems. - Jaroslaw Bernacki; Adrianna Kozierkiewicz-Hetmanska (ICCCI, 2014)

Analysis of Susceptibility to the Consensus for a Few Representations of Collective Knowledge. - Adrianna Kozierkiewicz-Hetmanska (Int. J. Softw. Eng. Knowl. Eng., 2014)

The Comparison of Creating Homogeneous and Heterogeneous Collaborative Learning Groups in Intelligent Tutoring Systems. - Jaroslaw Bernacki; Adrianna Kozierkiewicz-Hetmanska (ACIIDS (1), 2015)

A conception for use of user profile to prediction learning effects in Intelligent Tutoring Systems. - Adrianna Kozierkiewicz-Hetmanska; Jaroslaw Bernacki (CYBCONF, 2015)

Modeling Learning Group's Communication in Intelligent Tutoring Systems. - Adrianna Kozierkiewicz-Hetmanska; Jaroslaw Bernacki (ENIC, 2015)

Preliminary Evaluation of Multilevel Ontology Integration on the Concept Level. - Adrianna Kozierkiewicz-Hetmanska; Marcin Pietranik (ACIIDS (1), 2016)

User Authentication Through Keystroke Dynamics as the Protection Against Keylogger Attacks. - Adrianna Kozierkiewicz-Hetmanska; Aleksander Marciniak; Marcin Pietranik (ICCCI (1), 2016)

Data Evolution Method in the Procedure of User Authentication Using Keystroke Dynamics. - Adrianna Kozierkiewicz-Hetmanska; Aleksander Marciniak; Marcin Pietranik (ICCCI (1), 2016)

Personalisation of Learning Process in Intelligent Tutoring Systems Using Behavioural Measures. - Piotr Chynal; Adrianna Kozierkiewicz-Hetmanska; Marcin Pietranik (MISSI, 2016)

The Knowledge Increase Estimation Framework for Ontology Integration on the Instance Level. - Adrianna Kozierkiewicz-Hetmanska; Marcin Pietranik; Bogumila Hnatkowska (ACIIDS (1), 2017)

The Knowledge Increase Estimation Framework for Ontology Integration on the Relation Level. - Adrianna Kozierkiewicz-Hetmanska; Marcin Pietranik (ICCCI (1), 2017)

The Efficiency Analysis of the Multi-level Consensus Determination Method. - Adrianna Kozierkiewicz-Hetmanska; Mateusz Sitarczyk (ICCCI (1), 2017)

Assessing the quality of a Consensus determined using a multi-level approach. - Adrianna Kozierkiewicz-Hetmanska; Marcin Pietranik (INISTA, 2017)

The analysis of expert opinions' consensus quality. - Adrianna Kozierkiewicz-Hetmanska (Inf. Fusion, 2017)

The knowledge increase estimation framework for ontology integration on the concept level. - Adrianna Kozierkiewicz-Hetmanska; Marcin Pietranik (J. Intell. Fuzzy Syst., 2017)

The Assessing of Influence of Collective Intelligence on the Final Consensus Quality. - Adrianna Kozierkiewicz; Van Du Nguyen 001; Marcin Pietranik (ACIIDS (1), 2018)

Heuristic Algorithms for 2-Optimality Consensus Determination. - Adrianna Kozierkiewicz; Mateusz Sitarczyk (ACIIDS (1), 2018)

The Knowledge Increase Estimation Framework for Integration of Ontology Instances' Relations. - Adrianna Kozierkiewicz; Marcin Pietranik (DB&IS, 2018)

Agents' Knowledge Conflicts' Resolving in Cognitive Integrated Management Information System - Case of Budgeting Module. - Marcin Hernes; Anna Chojnacka-Komorowska; Adrianna Kozierkiewicz; Marcin Pietranik (ICCCI (1), 2018)

A New Distance Function for Consensus Determination in Decision Support Systems. - Marcin Hernes; Jadwiga Sobieska-Karpinska; Adrianna Kozierkiewicz; Marcin Pietranik (ICCCI (2), 2018)

An Application a Two-Level Determination Consensus Method in a Multi-agent Financial Decisions Support System. - Adrianna Kozierkiewicz; Marcin Hernes; Thanh Tung Nguyen (ACIIDS (1), 2019)

A Formal Framework for the Ontology Evolution. - Adrianna Kozierkiewicz; Marcin Pietranik (ACIIDS (1), 2019)

The Agents' Selection Methods for a Consensus-Based Investment Strategy in a Multi-agent Financial Decisions Support System. - Marcin Hernes; Adrianna Kozierkiewicz; Marcin Pietranik (ADBIS (Short Papers and Workshops), 2019)

Updating Ontology Alignment on the Concept Level Based on Ontology Evolution. - Adrianna Kozierkiewicz; Marcin Pietranik (ADBIS, 2019)

Triggering Ontology Alignment Revalidation Based on the Degree of Change Significance on the Ontology Concept Level. - Adrianna Kozierkiewicz; Marcin Pietranik (BIS (1), 2019)

Updating consensus in case of adding or removing new elements to the profile. - Adrianna Kozierkiewicz; Marcin Pietranik; Mateusz Sitarczyk (J. Intell. Fuzzy Syst., 2019)

OWL RL to Framework for Ontological Knowledge Integration Preliminary Transformation. - Bogumila Hnatkowska; Adrianna Kozierkiewicz; Marcin Pietranik (ACIIDS (1), 2020)

Assessing the Influence of Conflict Profile Properties on the Quality of Consensus. - Adrianna Kozierkiewicz; Marcin Pietranik; Mateusz Sitarczyk (ACIIDS (1), 2020)

Updating Ontology Alignment on the Instance Level Based on Ontology Evolution. - Adrianna Kozierkiewicz; Marcin Pietranik; Loan T. T. Nguyen (DEXA (2), 2020)

Updating Ontology Alignment on the Relation Level based on Ontology Evolution. - Adrianna Kozierkiewicz; Marcin Pietranik (ENASE, 2020)

A Hybrid Method of Facial Expressions Recognition in the Pictures. - Julita Bielaniewicz; Adrianna Kozierkiewicz (ICCCI, 2020)

Efficient Method for Mining Maximal Inter-transaction Patterns. - Thanh-Ngo Nguyen; Nguyen Thi Thuy Loan; Bay Vo; Adrianna Kozierkiewicz (ICCCI, 2020)

Incremental SVD-Based Collaborative Filtering Enhanced with Diversity for Personalized Recommendation. - Minh Quang Pham; Thi Thanh Sang Nguyen; Pham Minh Thu Do; Adrianna Kozierkiewicz (ICCCI (CCIS Volume), 2020)

Deep learning for grape variety recognition. - Bogdan Franczyk; Marcin Hernes; Adrianna Kozierkiewicz; Agata Kozina; Marcin Pietranik; Ingolf Römer; Martin Schieck (KES, 2020)

Semi-Automatic Definition of Attribute Semantics for the Purpose of Ontology Integration. - Bogumila Hnatkowska; Adrianna Kozierkiewicz; Marcin Pietranik (IEEE Access, 2020)

Assessing Ontology Mappings on a Level of Concepts and Instances. - Marcin Pietranik; Adrianna Kozierkiewicz; Mateusz Wesolowski (IEEE Access, 2020)

The data richness estimation framework for federated data warehouse integration. - Rafal Kern; Adrianna Kozierkiewicz; Marcin Pietranik (Inf. Sci., 2020)

Mining Class Association Rules on Dataset with Missing Data. - Hoang-Lam Nguyen; Loan T. T. Nguyen; Adrianna Kozierkiewicz (ACIIDS, 2021)

An Efficient Approach for Mining High-Utility Itemsets from Multiple Abstraction Levels. - Trinh D. D. Nguyen; Loan T. T. Nguyen; Adrianna Kozierkiewicz; Thiet Pham; Bay Vo (ACIIDS, 2021)

A Method for Estimating Potential Knowledge Increase after Updating Ontology Mapping. - Adrianna Kozierkiewicz; Marcin Pietranik; Karolina Kania (ENASE, 2021)

Fuzzy based approach to ontology relations alignment. - Bogumila Hnatkowska; Adrianna Kozierkiewicz; Marcin Pietranik (FUZZ-IEEE, 2021)

Assessing Ontology Alignments on the Level of Instances. - Bogumila Hnatkowska; Adrianna Kozierkiewicz; Marcin Pietranik; Hai Bang Truong (ICCCI, 2021)

Reinforcement Learning for Optimizing Wi-Fi Access Channel Selection. - Hung Nguyen; Duc Long Pham; Mau Hien Doan; Thi Thanh Sang Nguyen; Duc Anh Vu Dinh; Adrianna Kozierkiewicz (ICCCI (CCIS Volume), 2021)

Cross-Level High-Utility Itemset Mining Using Multi-core Processing. - N. T. Tung; Loan T. T. Nguyen; Trinh D. D. Nguyen; Adrianna Kozierkiewicz (ICCCI, 2021)

Shelf space allocation problem with horizontal shelf division. - Kateryna Czerniachowska; Krzysztof Lutoslawski; Agata Kozina; Karolina Matenczuk; Aleksandra Markowska; Adrianna Kozierkiewicz; Marcin Pietranik; Ingolf Römer; Martin Schieck (KES, 2021)

Financial Time Series Forecasting: Comparison of Traditional and Spiking Neural Networks. - Karolina Matenczuk; Agata Kozina; Aleksandra Markowska; Kateryna Czerniachowska; Klaudia Kaczmarczyk; Pawel Golec; Marcin Hernes; Krzysztof Lutoslawski; Adrianna Kozierkiewicz; Marcin Pietranik; Artur Rot; Mykola Dyvak (KES, 2021)

A Novel Approach for Mining Closed Clickstream Patterns. - Bao Huynh; Loan T. T. Nguyen; Huy Minh Huynh; Adrianna Kozierkiewicz; Unil Yun; Zuzana Komínková Oplatková; Bay Vo (Cybern. Syst., 2021)

Compatibility Checking of Compound Business Rules Expressed in Natural Language Against Domain Specification. - Bogumila Hnatkowska; Adrianna Kozierkiewicz; Marcin Pietranik (COMPSAC, 2022)

Fuzzy Logic Framework for Ontology Instance Alignment. - Bogumila Hnatkowska; Adrianna Kozierkiewicz; Marcin Pietranik (ICCS (1), 2022)

Hybrid Approach to Designating Ontology Attribute Semantics. - Bogumila Hnatkowska; Adrianna Kozierkiewicz; Marcin Pietranik; Hai Bang Truong (ICCCI, 2022)

Updating the Result Ontology Integration at the Concept Level in the Event of the Evolution of Their Components. - Adrianna Kozierkiewicz; Marcin Pietranik; Mateusz Olsztynski; Loan T. T. Nguyen (ICCCI, 2022)

Fuzzy Logic Framework for Ontology Concepts Alignment. - Adrianna Kozierkiewicz; Marcin Pietranik; Wojciech Jankowiak (ACIIDS (2), 2023)

Extracting Top-k High Utility Patterns from Multi-level Transaction Databases. - Tuan M. Le; Trinh D. D. Nguyen; Loan T. T. Nguyen; Adrianna Kozierkiewicz; N. T. Tung (ACIIDS (1), 2023)

Hybrid Approaches to Sentiment Analysis of Social Media Data. - Thanh Luan Nguyen; Thi Thanh Sang Nguyen; Adrianna Kozierkiewicz (ACIIDS (2), 2023)

A New Topic Modeling Method for Tweets Comparison. - Jose Fabio Ribeiro Bezerra; Marcin Pietranik; Thanh Thuy Nguyen; Adrianna Kozierkiewicz (ICCCI, 2023)

Investigation and Prediction of Cognitive Load During Memory and Arithmetic Tasks. - Patient Zihisire Muke; Adrianna Kozierkiewicz; Marcin Pietranik (ICCCI, 2023)

Efficient Pruning Strategy for Mining High Utility Quantitative Itemsets. - Loan T. T. Nguyen; Anh N. H. Pham; Trinh D. D. Nguyen; Adrianna Kozierkiewicz; Bay Vo; N. T. Tung (ICCCI (CCIS Volume), 2023)

Comparison of deep learning methods for grapevine growth stage recognition. - Martin Schieck; Philippe Krajsic; Felix Loos; Abdulbaree Hussein; Bogdan Franczyk; Adrianna Kozierkiewicz; Marcin Pietranik (Comput. Electron. Agric., 2023)

Methods of managing the evolution of ontologies and their alignments. - Marcin Pietranik; Adrianna Kozierkiewicz (Appl. Intell., 2023)

The New K-Means Initialization Method. - Bartosz Brejna; Marcin Pietranik; Adrianna Kozierkiewicz (ICCCI (1), 2024)

A New Method of Detecting Alzheimer's Disease. - Karol Kicinski; Marcin Pietranik; Adrianna Kozierkiewicz (ICCCI (2), 2024)

Assessing Student Quality of Life: Analysis of Key Influential Factors. - Talshyn Sarsembayeva; Madina Mansurova; Adrianna Kozierkiewicz; Almagul Kurmanova; Adai Shomanov; Alma Maulenova (ICCCI (2), 2024)

A Novel Approach for Tweet Similarity in a Context-Aware Fake News Detection Model. - Jose Fabio Ribeiro Bezerra; Adrianna Kozierkiewicz; Marcin Pietranik (IEEE Access, 2025)

Formal transformation of OWL ontology to a FOKI generic meta-model. - Bogumila Hnatkowska; Adrianna Kozierkiewicz; Marcin Pietranik (Comput. Sci. Inf. Syst., 2025)