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ORCIDKrzysztof Fujarewicz
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2020 – today
- 2024
[j4]Krzysztof Fujarewicz
, Karolina Kurasz:
Cytosine Methylation and Demethylation Model: Equilibrium Point and the Influence of Enzymes on Cytosine Forms Levels. SN Comput. Sci. 5(7): 967 (2024)- 2023
- [c24]Andrzej Swierniak, Emilia Kozlowska, Krzysztof Fujarewicz, Damian Borys, Agata Wilk, Jaroslaw Smieja, Rafal Suwinski:
System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer. BIOINFORMATICS 2023: 220-227 - [c23]Agata Malgorzata Wilk, Emilia Kozlowska, Damian Borys, Andrea D'Amico, Izabela Gorczewska, Iwona Debosz-Suwinska, Seweryn Galecki, Krzysztof Fujarewicz, Rafal Suwinski, Andrzej Swierniak:
Improving the Predictive Ability of Radiomics-Based Regression Survival Models Through Incorporating Multiple Regions of Interest. PCBBE 2023: 163-173 - 2022
- [c22]Krzysztof Fujarewicz, Agata Wilk, Damian Borys, Andrea D'Amico, Rafal Suwinski, Andrzej Swierniak:
Machine Learning Approach to Predict Metastasis in Lung Cancer Based on Radiomic Features. ACIIDS (2) 2022: 40-50 - [c21]Agata Wilk, Damian Borys, Krzysztof Fujarewicz, Andrea D'Amico, Rafal Suwinski, Andrzej Swierniak:
Potential of Radiomics Features for Predicting Time to Metastasis in NSCLC. ACIIDS (2) 2022: 64-76 - [c20]Krzysztof Lakomiec, Agata Wilk, Krzysztof Psiuk-Maksymowicz, Krzysztof Fujarewicz:
Finding the Time-Dependent Virus Transmission Intensity via Gradient Method and Adjoint Sensitivity Analysis. ITIB 2022: 487-497 - 2020
- [c19]Andrzej Swierniak, Jaroslaw Smieja, Krzysztof Fujarewicz, Rafal Suwinski:
Towards Personalized Radio-Chemotherapy - Learning from Clinical Data vs. Model Optimization. ACIIDS (1) 2020: 371-379 - [c18]Krzysztof Fujarewicz, Krzysztof Lakomiec:
Biological Models' Parameter Estimation Based on Discrete Measurements and Adjoint Sensitivity Analysis. KKA 2020: 567-578
2010 – 2019
- 2019
- [c17]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 - [c16]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 - [c15]Agata Wilk, Marta Gawin, Katarzyna Fratczak, Piotr Widlak, Krzysztof Fujarewicz:
On Stability of Feature Selection Based on MALDI Mass Spectrometry Imaging Data and Simulated Biopsy. PCBBE 2019: 82-93 - [c14]Krzysztof Psiuk-Maksymowicz, Roman Jaksik, Aleksander Placzek, Aleksandra Gruca, Sebastian Student, Damian Borys, Dariusz Mrozek, Krzysztof Fujarewicz, Andrzej Swierniak:
BioTest - Remote Platform for Hypothesis Testing and Analysis of Biomedical Data. PCBBE 2019: 152-165 - 2018
- [c13]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 - [c12]Katarzyna Pojda, Michal Jakubczak, Sebastian Student, Andrzej Swierniak, Krzysztof Fujarewicz:
Comparing Different Data Fusion Strategies for Cancer Classification. ICITS 2018: 417-426 - [c11]Roman Jaksik, Krzysztof Fujarewicz:
Detection of Genetic Aberrations in Cancer Driving Signaling Pathways Based on Joint Analysis of Heterogeneous Genomics Data. ICITS 2018: 484-494 - [c10]Krzysztof Lakomiec, Karolina Kurasz, Krzysztof Fujarewicz:
Sensitivity Analysis of Biomedical Models Using Green's Function. ITIB 2018: 481-492 - [c9]Piotr Bajger, Krzysztof Fujarewicz, Andrzej Swierniak:
Effects of Pharmacokinetics and DNA Repair on the Structure of Optimal Controls in a Simple Model of Radio-Chemotherapy. MMAR 2018: 686-691 - 2017
- [c8]Krzysztof Psiuk-Maksymowicz, Dariusz Mrozek, Roman Jaksik, Damian Borys, Krzysztof Fujarewicz, Andrzej Swierniak:
Scalability of a Genomic Data Analysis in the BioTest Platform. ACIIDS (2) 2017: 741-752 - [c7]Krzysztof Fujarewicz, Sebastian Student, Tomasz Zielanski, Michal Jakubczak, Justyna Pieter, Katarzyna Pojda, Andrzej Swierniak:
Large-Scale Data Classification System Based on Galaxy Server and Protected from Information Leak. ACIIDS (2) 2017: 765-773 - 2016
- [c6]Krzysztof Psiuk-Maksymowicz, Aleksander Placzek, Roman Jaksik, Sebastian Student, Damian Borys, Dariusz Mrozek, Krzysztof Fujarewicz, Andrzej Swierniak:
A Holistic Approach to Testing Biomedical Hypotheses and Analysis of Biomedical Data. BDAS 2016: 449-462 - [c5]Michal Jakubczak, Krzysztof Fujarewicz:
Application of Adjoint Sensitivity Analysis to Parameter Estimation of Age-Structured Model of Cell Cycle. ITIB (2) 2016: 123-131 - [c4]Justyna Pieter, Sebastian Student, Karolina Sobczyk, Krzysztof Fujarewicz:
Prediction of Newborn Weight Using Questionnaire Data and Machine Learning Approach. ITIB (2) 2016: 173-182 - 2010
- [j3]Krzysztof Fujarewicz:
Planning identification experiments for cell signaling pathways: An NF?B case study. Int. J. Appl. Math. Comput. Sci. 20(4): 773-780 (2010)
2000 – 2009
- 2009
- [c3]Andrzej Swierniak, Krzysztof Fujarewicz, Krzysztof Simek, Michal Swierniak:
Class Prediction and Pattern Discovery in Microarray Data - Artificial Intelligence and Algebraic Methods. ACIIDS 2009: 57-60 - 2007
- [j2]Krzysztof Fujarewicz, Marek Kimmel, Tomasz Lipniacki, Andrzej Swierniak:
Adjoint Systems for Models of Cell Signaling Pathways and their Application to Parameter Fitting. IEEE ACM Trans. Comput. Biol. Bioinform. 4(3): 322-335 (2007) - 2004
- [j1]Krzysztof Simek, Krzysztof Fujarewicz, Andrzej Swierniak, Marek Kimmel, Barbara Jarzab, Malgorzata Wiench, Joanna Rzeszowska:
Using SVD and SVM methods for selection, classification, clustering and modeling of DNA microarray data. Eng. Appl. Artif. Intell. 17(4): 417-427 (2004) - [c2]Krzysztof Fujarewicz, Adam Galuszka:
Generalized Backpropagation through Time for Continuous Time Neural Networks and Discrete Time Measurements. ICAISC 2004: 190-196 - 2001
- [c1]Krzysztof Fujarewicz:
Gradient optimization of control law for counterflow heat exchanger. ECC 2001: 2297-2302
Coauthor Index
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