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Disambiguation of "Wilk, Agata"

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Integration Strategies of Cross-Platform Microarray Data Sets in Multiclass Classification Problem.

, , , , , and . ICCSA (5), volume 11623 of Lecture Notes in Computer Science, page 602-612. Springer, (2019)

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Koichiro Agata

Agata Pomorska

Agata Savary

Agata Langier

Agata Nowrotek

 

Other publications of authors with the same name

Integration Strategies of Cross-Platform Microarray Data Sets in Multiclass Classification Problem., , , , , and . ICCSA (5), volume 11623 of Lecture Notes in Computer Science, page 602-612. Springer, (2019)Machine Learning Approach to Predict Metastasis in Lung Cancer Based on Radiomic Features., , , , , and . ACIIDS (2), volume 13758 of Lecture Notes in Computer Science, page 40-50. Springer, (2022)System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer., , , , , , and . BIOINFORMATICS, page 220-227. SCITEPRESS, (2023)On Stability of Feature Selection Based on MALDI Mass Spectrometry Imaging Data and Simulated Biopsy., , , , and . PCBBE, volume 1033 of Advances in Intelligent Systems and Computing, page 82-93. Springer, (2019)Finding the Time-Dependent Virus Transmission Intensity via Gradient Method and Adjoint Sensitivity Analysis., , , and . ITIB, volume 1429 of Advances in Intelligent Systems and Computing, page 487-497. Springer, (2022)Potential of Radiomics Features for Predicting Time to Metastasis in NSCLC., , , , , and . ACIIDS (2), volume 13758 of Lecture Notes in Computer Science, page 64-76. Springer, (2022)Assessing the Prognosis of Patients with Metastatic or Recurrent Non-small Cell Lung Cancer in the Era of Immunotherapy and Targeted Therapy., , , , , and . PCBBE, volume 746 of Lecture Notes in Networks and Systems, page 175-186. Springer, (2023)Predicting the Risk of Metastatic Dissemination in Non-small Cell Lung Cancer Using Clinical and Genetic Data., , , , , , , and . PCBBE, volume 746 of Lecture Notes in Networks and Systems, page 187-197. Springer, (2023)Improving the Predictive Ability of Radiomics-Based Regression Survival Models Through Incorporating Multiple Regions of Interest., , , , , , , , , and . PCBBE, volume 746 of Lecture Notes in Networks and Systems, page 163-173. Springer, (2023)