Rafal Deja

According to our database, Rafal Deja authored at least 19 papers between 2001 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Bi-coalitions analysis in the rough sets conflict model.

Rafal Deja, Malgorzata Przybyla-Kasperek

Inf. Sci., 2026

2025

Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios.

Malgorzata Przybyla-Kasperek, Rafal Deja

Proceedings of the Computational Science - ICCS 2025 Workshops, 2025

2024

Hierarchical system in conflict scenarios constructed based on cluster analysis-inspired method for attribute significance determination.

Malgorzata Przybyla-Kasperek, Rafal Deja, Alicja Wakulicz-Deja

Appl. Soft Comput., 2024

Study of Dependency Degree and Bayesian Networks for Conflict Scenarios.

Malgorzata Przybyla-Kasperek, Rafal Deja

Proceedings of the Rough Sets - International Joint Conference, 2024

Medical Treatment Graph and Bayesian Network for Modeling the Therapy of Patients with Type 1 Diabetes.

Rafal Deja, Grazyna Deja

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

2023

Selected Approaches to Conflict Analysis Inspired by the Pawlak Model - Case Study.

Malgorzata Przybyla-Kasperek, Rafal Deja, Alicja Wakulicz-Deja

Proceedings of the Rough Sets - International Joint Conference, 2023

Fuzzy, Graphical Model of Diabetic Therapy.

Rafal Deja, Grazyna Deja

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

A Graphical Model of Nocturnal Therapy of Juvenile Diabetics.

Rafal Deja, Grazyna Deja

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022

Selection a group of features based on machine learning algorithms to simplify psycho-technical examination.

Wojciech Froelich, Rafal Deja

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Forecasting Basal Insulin for the Clinical Therapy of Juvenile Diabetes at Onset.

Rafal Deja, Wojciech Froelich

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

Mining clinical pathways for daily insulin therapy of diabetic children.

Rafal Deja, Wojciech Froelich, Grazyna Deja

Int. J. Appl. Math. Comput. Sci., 2021

Rule-based Medical Treatment Graph for the Modeling of Hypo-and Hyperglycemia at Onset.

Rafal Deja, Wojciech Froelich, Grazyna Deja

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2017

Hybrid approach to the generation of medical guidelines for insulin therapy for children.

Rafal Deja, Wojciech Froelich, Grazyna Deja, Alicja Wakulicz-Deja

Inf. Sci., 2017

Applying Roughication to Support Establishing Intensive Insulin Therapy at Onset of T1D.

Rafal Deja

Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

2016

Building Medical Guideline for Intensive Insulin Therapy of Children with T1D at Onset.

Rafal Deja

Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016

2013

Mining Therapeutic Patterns from Clinical Data for Juvenile Diabetes.

Wojciech Froelich, Rafal Deja, Grazyna Deja

Fundam. Informaticae, 2013

2011

Accuracy Evaluation of the System of Type 1 Diabetes Prediction.

Rafal Deja

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2002

Conflict analysis.

Rafal Deja

Int. J. Intell. Syst., 2002

2001

Rough Set Theory in Conflict Analysis.

Rafal Deja, Dominik Slezak

Proceedings of the New Frontiers in Artificial Intelligence, 2001