| 2020 | A survey of loss functions for semantic segmentation. | Shruti Jadon |
| 2020 | miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact. | Puwasuru Ihalagedara, Sandali Lokuge, Shyaman Jayasundara, Damayanthi Herath, Indika Kahanda |
| 2020 | Using Genetic Programming to Investigate a Novel Model of Resting Energy Expenditure for Bariatric Surgery Patients. | James Alexander Hughes, Ryan E. R. Reid, Sheridan K. Houghten, Ross E. Andersen |
| 2020 | Vaccinating a Population is a Programming Problem. | James Alexander Hughes, Michael Dub, Sheridan K. Houghten, Daniel A. Ashlock |
| 2020 | Spatial graphs and Convolutive Models. | Giuseppe Giacopelli, Michele Migliore, Domenico Tegolo |
| 2020 | Comparison of normalization methods in clinical research applications of mass spectrometry-based proteomics. | Etienne Dubois, Antonio Nez Galindo, Loc Dayon, Ornella Cominetti |
| 2020 | Evolving the Curve. | Michael Dub, Sheridan K. Houghten, Daniel A. Ashlock, James Alexander Hughes |
| 2020 | Analysis of Interacting Factors Contributing to the Onset of Diabetes Type 2 in the Female Pima Population: A Step towards Understanding the Links. | Vitaly I. Dobromyslin, Dalila B. Megherbi |
| 2020 | Effective Side Effect Machines for Decoding. | Sharnendu Banik, Sheridan K. Houghten |
| 2020 | A Computational Model to Analyse E/I (Excitation/Inhibition) Dynamics for Neural Network Integrated with Astrocyte. | Anirban Bandyopadhyay, Gaurav Sharma, Shubhajit Roy Chowdhury |
| 2020 | Odd Distance Anchors for Rapid Clustering. | Daniel A. Ashlock, Haiyang Chang, Matthew Stoodley |
| 2020 | Visualizing Contact Networks Evolved To Fit Epidemic Profiles. | Wendy Ashlock |
| 2020 | Design of Deep Convolutional Neural Network Architectures for Denoising Electrocardiographic Signals. | Corneliu T. C. Arsene |
| 2020 | A closed-loop optimization framework for personalized cancer therapy design. | Fabrizio Angaroni, Mattia Pennati, Lucrezia Patruno, Davide Maspero, Marco Antoniotti, Alex Graudenzi |
| 2020 | Noise in transcriptional, splicing and translational regulation. | Alberto Giaretta |
| 2019 | Genotype Combinations Linked to Phenotype Subgroups in Autism Spectrum Disorders. | Junya Zhao, Thy Nguyen, Jonathan Kopel, Perry B. Koob, Donald A. Adieroh, Tayo Obafemi-Ajayi |
| 2019 | Predicting gene expression level in E. coli from mRNA sequence information. | Linlin Zhao, Nima Abedpour, Christopher Blum, Petra Kolkhof, Mathias Beller, Markus Kollmann, Emidio Capriotti |
| 2019 | A deep learning approach for length of stay prediction in clinical settings from medical records. | Tahmina Zebin, Shahadate Rezvy, Thierry J. Chaussalet |
| 2019 | Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. | Tahmina Zebin, Thierry J. Chaussalet |
| 2019 | Visualizing High-Dimensional Single-Cell RNA-seq Data via Random Projections and Geodesic Distances. | Aristidis G. Vrahatis, Sotiris K. Tasoulis, Georgios N. Dimitrakopoulos, Vassilis P. Plagianakos |
| 2019 | A single-cell Systems Biology approach for disease-specific subpathway extraction. | Aristidis G. Vrahatis, Georgios N. Dimitrakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos |
| 2019 | Predicting the Functions of Proteins from their Co-occurrences with Implicit and Explicit Functional Terms in Texts. | Kamal Taha |
| 2019 | Cancer Classification using improved Extreme Learning Machine. | Ankita Shreya, Swati Vipsita, Santos Kumar Baliarsingh |
| 2019 | Enhancement in Focality of Non-Invasive Brain Stimulation through High Definition (HD) Anodal Transcranial Direct Current Stimulation (tDCS) Techniques. | Gaurav Sharma, Shubhajit Roy Chowdhury |
| 2019 | Evaluating Pruning Methods in Gene Network Inference. | Michael M. Saint-Antoine, Abhyudai Singh |