| 2024 | ICAISC | Machine Learning-Based Tool for Efficient Discrimination Between Deleterious and Neutral Missense Mutations. | Eshel Faraggi, Robert L. Jernigan, Andrzej Kloczkowski |
| 2023 | ICAISC | Computational Models for COVID-19 Dynamics Prediction. | Andrzej Kloczkowski, Juan Luis Fernndez Martnez, Zulima Fernndez-Muiz |
| 2020 | ICAISC | The Utilization of Different Classifiers to Perform Drug Repositioning in Inclusion Body Myositis Supports the Concept of Biological Invariance. | scar lvarez-Machancoses, Enrique J. deAndrs-Galiana, Juan Luis Fernndez Martnez, Andrzej Kloczkowski |
| 2020 | PSB | Many-to-One Binding by Intrinsically Disordered Protein Regions. | Wei-Lun Alterovitz, Eshel Faraggi, Christopher J. Oldfield, Jingwei Meng, Bin Xue, Fei Huang, Pedro Romero, Andrzej Kloczkowski, Vladimir N. Uversky, A. Keith Dunker |
| 2018 | ICAISC | On the Use of Principal Component Analysis and Particle Swarm Optimization in Protein Tertiary Structure Prediction. | scar lvarez, Juan Luis Fernndez Martnez, Celia Fernndez-Brillet, Ana Cernea, Zulima Fernndez-Muiz, Andrzej Kloczkowski |
| 2015 | RECOMB | Exploration of Designability of Proteins Using Graph Features of Contact Maps: Beyond Lattice Models. | Sumudu P. Leelananda, Robert L. Jernigan, Andrzej Kloczkowski |
| 2010 | IJCCI | Protein Secondary Structure Prediction using Knowledge-based Potentials. | Saras Saraswathi, Robert L. Jernigan, Andrzej Kloczkowski, Andrzej Kolinski |
| 2010 | IJCCI | An Extreme Learning Machine Classifier for Prediction of Relative Solvent Accessibility in Proteins. | Saras Saraswathi, Andrzej Kloczkowski, Robert L. Jernigan |