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Barbara Probierz

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2020 – today

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2024
[c17]
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  - conf/aciids/ProbierzS24
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Barbara Probierz, Aleksandra Stras:
Automation of the Analysis of Medical Interviews to Improve Diagnoses Using NLP for Medicine. ACIIDS (1) 2024: 120-131
[c16]
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Tomasz Jach, Barbara Probierz, Jan Kozak, Piotr Stefanski, Grzegorz Dziczkowski, Anita Hrabia, Przemyslaw Juszczuk, Szymon Glowania, Gabriel Wolek, Wojciech Sznapka, Lukasz Swierk, Natalia Joniec:
Identification of Users in a Gambling Problem with the Use of Machine Learning. ACIIDS (2) 2024: 263-274
[c15]
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Grzegorz Dziczkowski, Tomasz Jach, Barbara Probierz, Piotr Stefanski, Jan Kozak:
Selection of Rapid Classifier Development Methodology Used to Implement a Screening Study Based on Children's Behavior During School Lessons. GDN 2024: 77-88
[c14]
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Grzegorz Dziczkowski, Barbara Probierz, Grzegorz Madyda:
Detection of Candidate Skills from Job Offers and Comparison with ESCO Database. ICCCI (1) 2024: 318-331
2023
[c13]
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Barbara Probierz, Jan Kozak, Przemyslaw Juszczuk:
Emotion Detection from Text in Social Networks. ACIIDS (1) 2023: 358-370
[c12]
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Barbara Probierz, Jan Kozak, Adam Piasecki, Angelika Podlaszewska:
Sign language interpreting - relationships between research in different areas - overview. FedCSIS 2023: 213-223
[c11]
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Barbara Probierz, Jan Kozak:
Knowledge graphs to an analysis and visualization of texts from scientific articles. KES 2023: 4324-4333
2022
[j3]
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Jan Kozak, Barbara Probierz, Krzysztof Kania, Przemyslaw Juszczuk:
Preference-Driven Classification Measure. Entropy 24(4): 531 (2022)
[c10]
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Barbara Probierz, Jan Kozak, Anita Hrabia:
A Comparative Study of Classification and Clustering Methods from Text of Books. ACIIDS (2) 2022: 13-25
[c9]
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Barbara Probierz, Tomasz Jach, Jan Kozak, Radoslaw Pacud, Tomasz Turek:
Modelling an IT solution to anonymise selected data processed in digital documents. FedCSIS 2022: 715-719
[c8]
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Barbara Probierz, Jan Kozak, Anita Hrabia:
Clustering of scientific articles using natural language processing. KES 2022: 3449-3458
2021
[j2]
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Przemyslaw Juszczuk, Jan Kozak, Grzegorz Dziczkowski, Szymon Glowania, Tomasz Jach, Barbara Probierz:
Real-World Data Difficulty Estimation with the Use of Entropy. Entropy 23(12): 1621 (2021)
[c7]
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Barbara Probierz, Jan Kozak, Piotr Stefanski, Przemyslaw Juszczuk:
Adaptive Goal Function of Ant Colony Optimization in Fake News Detection. ICCCI 2021: 387-400
[c6]
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Barbara Probierz, Piotr Stefanski, Jan Kozak:
Rapid detection of fake news based on machine learning methods. KES 2021: 2893-2902
2020
[j1]
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Jan Kozak, Przemyslaw Juszczuk, Barbara Probierz:
The hybrid ant colony optimization and ensemble method for solving the data stream e-mail foldering problem. Neural Comput. Appl. 32(19): 15429-15443 (2020)

2010 – 2019

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2019
[c5]
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Barbara Probierz:
Discovery of Leaders and Cliques in the Organization Based on Social Network Analysis. ICCCI (2) 2019: 145-154
2018
[c4]
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Barbara Probierz:
The Mechanism to Predict Folders in Automatic Classification Email Messages to Folders in the Mailboxes. ICCCI (2) 2018: 355-365
2015
[c3]
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Urszula Boryczka, Barbara Probierz, Jan Kozak:
Adaptive Ant Colony Decision Forest in Automatic Categorization of Emails. ACIIDS (1) 2015: 451-461
[c2]
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Urszula Boryczka, Barbara Probierz, Jan Kozak:
A New Algorithm to Categorize E-mail Messages to Folders with Social Networks Analysis. ICCCI (2) 2015: 89-98
2014
[c1]
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Urszula Boryczka, Barbara Probierz, Jan Kozak:
An Ant Colony Optimization Algorithm for an Automatic Categorization of Emails. ICCCI 2014: 583-592

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