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Alicja Pluciennik
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Journal Articles
- 2020
- [j3]Aleksander Placzek
, Alicja Pluciennik
, Agnieszka Kotecka-Blicharz
, Michal Jarzab
, Dariusz Mrozek
:
Bayesian Assessment of Diagnostic Strategy for a Thyroid Nodule Involving a Combination of Clinical Synthetic Features and Molecular Data. IEEE Access 8: 175125-175139 (2020) - 2018
- [j2]Alicja Pluciennik
, Michal Stolarczyk
, Maria Bzówka
, Agata Raczynska, Tomasz Magdziarz, Artur Góra
:
BALCONY: an R package for MSA and functional compartments of protein variability analysis. BMC Bioinform. 19(1): 300:1-300:8 (2018) - 2017
- [j1]Tomasz Magdziarz, Karolina Mitusinska, Sandra Goldowska
, Alicja Pluciennik
, Michal Stolarczyk
, Magdalena Lugowska
, Artur Góra
:
AQUA-DUCT: a ligands tracking tool. Bioinform. 33(13): 2045-2046 (2017)
Conference and Workshop Papers
- 2019
- [c4]Aleksander Placzek, Alicja Pluciennik
, Miroslaw Pach, Michal Jarzab
, Dariusz Mrozek
:
The Role of Feature Selection in Text Mining in the Process of Discovering Missing Clinical Annotations - Case Study. BDAS 2019: 248-262 - [c3]Sebastian Student, Alicja Pluciennik
, Krzysztof Lakomiec
, Agata Wilk
, Wojciech Bensz, Krzysztof Fujarewicz:
Integration Strategies of Cross-Platform Microarray Data Sets in Multiclass Classification Problem. ICCSA (5) 2019: 602-612 - [c2]Sebastian Student, Krzysztof Lakomiec
, Alicja Pluciennik
, Wojciech Bensz, Krzysztof Fujarewicz:
Classification System for Multi-class Biomedical Data that Allows Different Data Fusion Strategies. ITIB 2019: 593-602 - 2018
- [c1]Sebastian Student
, Alicja Pluciennik
, Michal Jakubczak, Krzysztof Fujarewicz
:
Feature Selection Based on Logistic Regression for 2-Class Classification of Multidimensional Molecular Data. AIMSA 2018: 286-290
Coauthor Index
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