| 2022 | ACIIDS | 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 |
| 2022 | ACIIDS | Potential of Radiomics Features for Predicting Time to Metastasis in NSCLC. | Agata Wilk, Damian Borys, Krzysztof Fujarewicz, Andrea D'Amico, Rafal Suwinski, Andrzej Swierniak |
| 2020 | ACIIDS | Towards Personalized Radio-Chemotherapy - Learning from Clinical Data vs. Model Optimization. | Andrzej Swierniak, Jaroslaw Smieja, Krzysztof Fujarewicz, Rafal Suwinski |
| 2019 | ICCSA | Integration Strategies of Cross-Platform Microarray Data Sets in Multiclass Classification Problem. | Sebastian Student, Alicja Pluciennik, Krzysztof Lakomiec, Agata Wilk, Wojciech Bensz, Krzysztof Fujarewicz |
| 2018 | AIMSA | Feature Selection Based on Logistic Regression for 2-Class Classification of Multidimensional Molecular Data. | Sebastian Student, Alicja Pluciennik, Michal Jakubczak, Krzysztof Fujarewicz |
| 2018 | MMAR | 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 |
| 2017 | ACIIDS | 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 |
| 2017 | ACIIDS | Scalability of a Genomic Data Analysis in the BioTest Platform. | Krzysztof Psiuk-Maksymowicz, Dariusz Mrozek, Roman Jaksik, Damian Borys, Krzysztof Fujarewicz, Andrzej Swierniak |
| 2009 | ACIIDS | Class Prediction and Pattern Discovery in Microarray Data - Artificial Intelligence and Algebraic Methods. | Andrzej Swierniak, Krzysztof Fujarewicz, Krzysztof Simek, Michal Swierniak |
| 2004 | ICAISC | Generalized Backpropagation through Time for Continuous Time Neural Networks and Discrete Time Measurements. | Krzysztof Fujarewicz, Adam Galuszka |