Aneta Polewko-Klim
Aneta Polewko-Klim
Institute of Informatics, University of Bialystok
Zweryfikowany adres z - Strona główna
Cytowane przez
Cytowane przez
Predicting human olfactory perception from chemical features of odor molecules
A Keller, RC Gerkin, Y Guan, A Dhurandhar, G Turu, B Szalai, ...
Science 355 (6327), 820-826, 2017
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open …
J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ...
The Lancet Oncology 18 (1), 132-142, 2017
Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
R Kueffner, N Zach, M Bronfeld, R Norel, N Atassi, V Balagurusamy, ...
Scientific reports 9 (1), 1-14, 2019
MDFS: MultiDimensional Feature Selection in R.
R Piliszek, K Mnich, S Migacz, P Tabaszewski, A Sulecki, A Polewko-Klim, ...
R J. 11 (1), 198, 2019
Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival
A Polewko-Klim, W Lesiński, K Mnich, R Piliszek, WR Rudnicki
Biology direct 13 (1), 1-22, 2018
A DREAM Challenge to build prediction models for short-term discontinuation of docetaxel in metastatic castration-resistant prostate cancer
F Seyednasrollah, DC Koestler, T Wang, SR Piccolo, R Vega, R Greiner, ...
JCO clinical cancer informatics 1, 1-15, 2017
Determination of the interfacial magneto-optical properties in sputtered Fe/Au multilayer structures
VNA L. Uba, A. Polewko, S. Uba, R. Gontarz, A.N. Yaresko
Physica Status Solidi A 196 (1), 145-148, 2003
Influence of anisotropy and interparticle interactions on the coercivity and remanence in superparamagnetic Fe/Au multilayers
A Polewko-Klim, S Uba, L Uba
Journal of magnetism and magnetic materials 324 (6), 1193-1200, 2012
Bootstrap Bias Corrected Cross Validation applied to Super Learning
K Mnich, A Golińska, A Polewko-Klim, W Rudnicki
Lecture Notes in Computer Science, 2020
Data integration strategy for robust classification of biomedical data
A Polewko-Klim, WR Rudnicki
Advances in Intelligent Systems and Computing 1160, 596-606,, 2020
Mdfs-multidimensional feature selection
R Piliszek, K Mnich, S Migacz, P Tabaszewski, A Sułecki, A Polewko-Klim, ...
arXiv preprint arXiv:1811.00631, 2018
Optical and magneto-optical study of Fe/Si multilayers
L Uba, S Uba, A Polewko-Klim, E Miniuk, T Luciński, P Wandziuk, ...
Materials Science-Poland 25 (2), 383-389, 2007
A method for eliminating Faraday rotation in cryostat windows in longitudinal magneto-optical Kerr effect measurements
LU A. Polewko-Klim, S. Uba
Review of Scientific Instruments 85, 073106, 2014
Robust Data Integration Method for Classification of Biomedical Data
A Polewko-Klim, K Mnich, R Witold R.
Journal of Medical Systems 45 (45), 1-14, 2021
Super Learning with Repeated Cross Validation
K Mnich, A Polewko-Klim, AK Golińska, W Lesiński, WR Rudnicki
2020 International Conference on Data Mining Workshops (ICDMW), 629-635, 2021
Sensitivity analysis based on the random forest machine learning algorithm identifies candidate genes for regulation of innate and adaptive immune response of chicken
A Polewko-Klim, W Lesiński, AK Golińska, K Mnich, M Siwek, ...
Poultry science 99 (12), 6341-6354, 2020
Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data
A Polewko-Klim, W Rudnicki
Lecture Notes in Computer Science, 2020
Identification of clinical variables relevant for survival prediction in patients with metastatic castration-resistant prostate cancer
W Lesiński, A Polewko-Klim, W Rudnicki
Advances in Intelligent Systems and Computing 1160, 2020
Zadania i harmonogram
A Polewko-Klim
Teoretyczne i aplikacyjne aspekty projektów badawczych, 50-60, 2013
Effect of temperature-dependent magnetic anisotropy and inter-particle interactions on coercivity and remanence in Fe/Au superparamagnetic multilayered structures
LU A. Polewko-Klim, S. Uba
Journal of Magnetism and Magnetic Materials 324, 1193-1200, 2012
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