Gradient optimization of control law for counterflow heat exchanger. - Krzysztof Fujarewicz (ECC, 2001)

Generalized Backpropagation through Time for Continuous Time Neural Networks and Discrete Time Measurements. - Krzysztof Fujarewicz; Adam Galuszka (ICAISC, 2004)

Using SVD and SVM methods for selection, classification, clustering and modeling of DNA microarray data. - Krzysztof Simek; Krzysztof Fujarewicz; Andrzej Swierniak; Marek Kimmel; Barbara Jarzab; Malgorzata Wiench; Joanna Rzeszowska (Eng. Appl. Artif. Intell., 2004)

Adjoint Systems for Models of Cell Signaling Pathways and their Application to Parameter Fitting. - Krzysztof Fujarewicz; Marek Kimmel; Tomasz Lipniacki; Andrzej Swierniak (IEEE ACM Trans. Comput. Biol. Bioinform., 2007)

Class Prediction and Pattern Discovery in Microarray Data - Artificial Intelligence and Algebraic Methods. - Andrzej Swierniak; Krzysztof Fujarewicz; Krzysztof Simek; Michal Swierniak (ACIIDS, 2009)

Planning identification experiments for cell signaling pathways: An NF?B case study. - Krzysztof Fujarewicz (Int. J. Appl. Math. Comput. Sci., 2010)

A Holistic Approach to Testing Biomedical Hypotheses and Analysis of Biomedical Data. - Krzysztof Psiuk-Maksymowicz; Aleksander Placzek; Roman Jaksik; Sebastian Student; Damian Borys; Dariusz Mrozek; Krzysztof Fujarewicz; Andrzej Swierniak (BDAS, 2016)

Application of Adjoint Sensitivity Analysis to Parameter Estimation of Age-Structured Model of Cell Cycle. - Michal Jakubczak; Krzysztof Fujarewicz (ITIB (2), 2016)

Prediction of Newborn Weight Using Questionnaire Data and Machine Learning Approach. - Justyna Pieter; Sebastian Student; Karolina Sobczyk; Krzysztof Fujarewicz (ITIB (2), 2016)

Large-Scale Data Classification System Based on Galaxy Server and Protected from Information Leak. - Krzysztof Fujarewicz; Sebastian Student; Tomasz Zielanski; Michal Jakubczak; Justyna Pieter; Katarzyna Pojda; Andrzej Swierniak (ACIIDS (2), 2017)

Scalability of a Genomic Data Analysis in the BioTest Platform. - Krzysztof Psiuk-Maksymowicz; Dariusz Mrozek; Roman Jaksik; Damian Borys; Krzysztof Fujarewicz; Andrzej Swierniak (ACIIDS (2), 2017)

Feature Selection Based on Logistic Regression for 2-Class Classification of Multidimensional Molecular Data. - Sebastian Student; Alicja Pluciennik; Michal Jakubczak; Krzysztof Fujarewicz (AIMSA, 2018)

Detection of Genetic Aberrations in Cancer Driving Signaling Pathways Based on Joint Analysis of Heterogeneous Genomics Data. - Roman Jaksik; Krzysztof Fujarewicz (ICITS, 2018)

Comparing Different Data Fusion Strategies for Cancer Classification. - Katarzyna Pojda; Michal Jakubczak; Sebastian Student; Andrzej Swierniak; Krzysztof Fujarewicz (ICITS, 2018)

Sensitivity Analysis of Biomedical Models Using Green's Function. - Krzysztof Lakomiec; Karolina Kurasz; Krzysztof Fujarewicz (ITIB, 2018)

Effects of Pharmacokinetics and DNA Repair on the Structure of Optimal Controls in a Simple Model of Radio-Chemotherapy. - Piotr Bajger; Krzysztof Fujarewicz; Andrzej Swierniak (MMAR, 2018)

Integration Strategies of Cross-Platform Microarray Data Sets in Multiclass Classification Problem. - Sebastian Student; Alicja Pluciennik; Krzysztof Lakomiec; Agata Wilk; Wojciech Bensz; Krzysztof Fujarewicz (ICCSA (5), 2019)

Classification System for Multi-class Biomedical Data that Allows Different Data Fusion Strategies. - Sebastian Student; Krzysztof Lakomiec; Alicja Pluciennik; Wojciech Bensz; Krzysztof Fujarewicz (ITIB, 2019)

BioTest - Remote Platform for Hypothesis Testing and Analysis of Biomedical Data. - Krzysztof Psiuk-Maksymowicz; Roman Jaksik; Aleksander Placzek; Aleksandra Gruca; Sebastian Student; Damian Borys; Dariusz Mrozek; Krzysztof Fujarewicz; Andrzej Swierniak (PCBBE, 2019)

On Stability of Feature Selection Based on MALDI Mass Spectrometry Imaging Data and Simulated Biopsy. - Agata Wilk; Marta Gawin; Katarzyna Fratczak; Piotr Widlak; Krzysztof Fujarewicz (PCBBE, 2019)

Towards Personalized Radio-Chemotherapy - Learning from Clinical Data vs. Model Optimization. - Andrzej Swierniak; Jaroslaw Smieja; Krzysztof Fujarewicz; Rafal Suwinski (ACIIDS (1), 2020)

Biological Models' Parameter Estimation Based on Discrete Measurements and Adjoint Sensitivity Analysis. - Krzysztof Fujarewicz; Krzysztof Lakomiec (KKA, 2020)

Machine Learning Approach to Predict Metastasis in Lung Cancer Based on Radiomic Features. - Krzysztof Fujarewicz; Agata Wilk; Damian Borys; Andrea D'Amico; Rafal Suwinski; Andrzej Swierniak (ACIIDS (2), 2022)

Potential of Radiomics Features for Predicting Time to Metastasis in NSCLC. - Agata Wilk; Damian Borys; Krzysztof Fujarewicz; Andrea D'Amico; Rafal Suwinski; Andrzej Swierniak (ACIIDS (2), 2022)

Finding the Time-Dependent Virus Transmission Intensity via Gradient Method and Adjoint Sensitivity Analysis. - Krzysztof Lakomiec; Agata Wilk; Krzysztof Psiuk-Maksymowicz; Krzysztof Fujarewicz (ITIB, 2022)

System Modeling and Machine Learning in Prediction of Metastases in Lung Cancer. - Andrzej Swierniak; Emilia Kozlowska; Krzysztof Fujarewicz; Damian Borys; Agata Wilk; Jaroslaw Smieja; Rafal Suwinski (BIOINFORMATICS, 2023)

Improving the Predictive Ability of Radiomics-Based Regression Survival Models Through Incorporating Multiple Regions of Interest. - Agata Malgorzata Wilk; Emilia Kozlowska; Damian Borys; Andrea D'Amico; Izabela Gorczewska; Iwona Debosz-Suwinska; Seweryn Galecki; Krzysztof Fujarewicz; Rafal Suwinski; Andrzej Swierniak (PCBBE, 2023)

Cytosine Methylation and Demethylation Model: Equilibrium Point and the Influence of Enzymes on Cytosine Forms Levels. - Krzysztof Fujarewicz; Karolina Kurasz (SN Comput. Sci., 2024)

Towards the use of multiple ROIs for radiomics-based survival modelling: Finding a strategy of aggregating lesions. - Agata Malgorzata Wilk; Andrzej Swierniak; Andrea D'Amico; Rafal Suwinski; Krzysztof Fujarewicz; Damian Borys (Comput. Methods Programs Biomed., 2025)