| 2021 | Genome-scale prediction of bacterial promoters. | Miria Bernardino, Robert G. Beiko |
| 2021 | DeepGREP: A deep convolutional neural network for predicting gene-regulating effects of small molecules. | Benan Bardak, Mehmet Tan |
| 2021 | Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions. | Batuhan Bardak, Mehmet Tan |
| 2021 | A Comparison of Novel Representations for Evolving Epidemic Networks. | Daniel A. Ashlock, Michael Dub |
| 2021 | One Moose, Two Moose, Three Fields, More? | Daniel A. Ashlock, Joseph Alexander Brown, Sheridan K. Houghten, Munir Makhmutov |
| 2021 | Ring Optimization of Epidemic Contact Networks. | Daniel A. Ashlock, Joseph Alexander Brown, Wendy Ashlock, Michael Dub |
| 2021 | Vaccinating a Population is a Changing Programming Problem. | Sumaiya Amin, Sheridan K. Houghten, James Alexander Hughes |
| 2021 | Adversarial Deep Evolutionary Learning for Drug Design. | Sheriff Abouchekeir, Alain B. Tchagang, Yifeng Li |
| 2020 | Predicting Chronic Obstructive Pulmonary Disease from EMR data. | Hasan Zafari, Sarah Langlois, Farhana H. Zulkernine, Leanne Kosowan, Alexander Singer |
| 2020 | True Or False: How Does Our Brain Decide About Truth? | Piotr Schneider, Grzegorz M. Wjcik, Andrzej Kawiak, Lukasz Kwasniewicz, Adam Wierzbicki |
| 2020 | Extracting Information from Weighted Contact Networks via Genetic Algorithms. | Emilia Rutkowski, Sheridan K. Houghten, Joseph Alexander Brown |
| 2020 | A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem. | Csar Rivera, Mario Inostroza-Ponta, Manuel Villalobos-Cid |
| 2020 | Estimating SIR model parameters from data using differential evolution: an application with COVID-19 data. | Sergio Rica, Gonzalo A. Ruz |
| 2020 | An ensemble deep transfer-learning approach to identify COVID-19 cases from chest X-ray images. | Taki Hasan Rafi |
| 2020 | Dilated Squeeze-and-Excitation U-Net for Fetal Ultrasound Image Segmentation. | Donghao Qiao, Farhana H. Zulkernine |
| 2020 | Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. | Tim Prangemeier, Christian Wildner, Andr O. Franani, Christoph Reich, Heinz Koeppl |
| 2020 | Unsupervised feature selection for tumor profiles using autoencoders and kernel methods. | Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich |
| 2020 | Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess. | Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Luca Manzoni |
| 2020 | Comparison tools for lncRNA identification: analysis among plants and humans. | Tatianne da Costa Negri, Alexandre Rossi Paschoal, Wonder Alexandre Luz Alves |
| 2020 | Phenotype Prediction of DNA Sequence Data: A Machine- and Statistical Learning Approach. | Darlington S. Mapiye, Mpho Mokoatle, Dineo Makoro, Stephanie J. Mller, Gciniwe S. Dlamini, James Mashiyane, Lavina Joseph, Nazir Ismail, Shaheed Vally Omar |
| 2020 | Using Neural Networks to Identify Features Associated with HIV Nef Protein and Cancer. | Enoch S. Liu, Gary B. Fogel, David J. Nolan, Susanna L. Lamers, Michael S. McGrath |
| 2020 | A Comparative Study on Machine Learning Algorithms and A Hybrid Model of Genetic Algorithm and Neural Network for Mesothelioma Diagnosis. | Mae Leong |
| 2020 | Computing organoids' volume in medical images: the case study of cystic fibrosis. | Paola Lecca, Michela Lecca, Paola Melotti, Virginia Lotti, Sara Preato, Karina Kleinfelder, Alessia Farinazzo, Claudio Sorio |
| 2020 | Simulation of the south-eastern Polish subpopulations behaviour. | Tomasz Krajka, Adam Misiura, Grzegorz M. Wjcik |
| 2020 | Prospecting epilepsy surgery outcome using virtual resection paradigm. Computational-model validation. | Stiliyan Kalitzin, George Petkov, Matteo Demuru, Guido Widman |