Teresa Mroczek

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University of Information Technology and Management in Rzeszow

Poland

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Recent Grants

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DeepTech in Higher Education Institutions and Ecosystems through Entrepreneurial Education+ (SFF.DeepT+)

Open Date: 2023-01-01

Close Date: 2024-01-01

Grant: Close

Inteligentna technologia synchronizacji i harmonogramowania ruchu lotniczego z uwzględnieniem optymalizacji zadań logistycznych dla bezzałogowych systemów latających

Open Date: 2022-01-01

Close Date: 2022-01-01

Grant: Close

Uczelnia bez barier

Open Date: 2020-01-01

Close Date: 2023-01-01

Grant: Close

ARmixer - mobilny system rozszerzonej rzeczywistości

Open Date: 2020-01-01

Close Date: 2022-01-01

Grant: Close

PRACUJ I STUDIUJ - studia dualne na kierunkach Grafika komputerowa i produkcja multimedialna PROJEKTOWANIE UX i Informatyka PROGRAMOWANIE

Open Date: 2019-01-01

Close Date: 2023-01-01

Articles (18)

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2020

Collaborators (5)

Jacek Rodzinka

University of Information Technology and Management in Rzeszow

POLAND

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Jerzy Grzymala-Busse

Professor

University of Information Technology and Management

POLAND

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Marta Czyżewska

Assistant professor

Pedagogical University of Kraków

POLAND

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Michal Kepski

Rzeszów University

POLAND

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Dorota Murzyn

Head

Pedagogical University of Kraków

POLAND

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Teresa Mroczek

Research Interests

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Recent Grants

Articles (18)

Environmental Awareness and Responsibility: A Machine Learning Analysis of Polish University Students

Attribute reduction method based on fuzzy relational equations and inequalities

Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks

Fuzzy and rough approach to the problem of missing data in fall detection system

Exploring Relationships in Melanocytic Data Sets

Fuzzy and rough approach to the problem of missing data in fall detection system

Handling the Complexity of Computing Maximal Consistent Blocks

Global and saturated probabilistic approximations based on generalized maximal consistent blocks

Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Characteristic Sets

Global and saturated probabilistic approximations based on generalized maximal consistent blocks

Handling the Complexity of Computing Maximal Consistent Blocks

Assessment of Young People’s Attitudes Towards Sustainable Entrepreneurship with Machine Learning Techniques Use

Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System

A New Approach to Constructing Maximal Consistent Blocks for Mining Incomplete Data

Analysis and classification of melanocytic skin lesion images

How Government Size Optimization affect on European Economies?

Data Mining in Entrepreneurial Competencies Diagnosis

Complexity of rule sets in mining incomplete data using characteristic sets and generalized maximal consistent blocks

Collaborators (5)

Jacek Rodzinka

Jerzy Grzymala-Busse

Marta Czyżewska

Michal Kepski

Dorota Murzyn

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