| 2021 | $\mathcal{LAJA}{-}$ Label Attention Transformer Architectures for ICD-10 Coding of Unstructured Clinical Notes. Veena Mayya, S. Sowmya Kamath, Vijayan Sugumaran |
| 2021 | A Comparison of Novel Representations for Evolving Epidemic Networks. Daniel A. Ashlock, Michael Dubé |
| 2021 | A Scaled-2D CNN for Skin Cancer Diagnosis. Taki Hasan Rafi, Raed M. Shubair |
| 2021 | A comparison of multi-objective optimization algorithms to identify drug target combinations. Simone Spolaor, Daniele M. Papetti, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile |
| 2021 | A deep learning model to predict traumatic brain injury severity and outcome from MR images. Dacosta Yeboah, Hung Nguyen, Daniel B. Hier, Gayla R. Olbricht, Tayo Obafemi-Ajayi |
| 2021 | Adversarial Deep Evolutionary Learning for Drug Design. Sheriff Abouchekeir, Alain B. Tchagang, Yifeng Li |
| 2021 | An Efficient Boolean Modelling Approach for Genetic Network Inference. Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan |
| 2021 | An Improved Method for Finding Attractors of Large-Scale Asynchronous Boolean Networks. Trinh Van Giang, Kunihiko Hiraishi |
| 2021 | An Oscillator Model for Interbrain Synchrony: Slow Interactional Rhythms Entrain Fast Neural Activity. Chen Lam Loh, Tom Froese |
| 2021 | Automatic Detection of Necrotizing Fasciitis: A Dataset and Early Results. Anik Das, Sumaiya Amin, James Alexander Hughes |
| 2021 | CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet. Alberto Zancanaro, Giulia Cisotto, João Ruivo Paulo, Gabriel Pires, Urbano J. Nunes |
| 2021 | Classification of Human Emotions using EEG-based Causal Connectivity Patterns. J. Siva Ramakrishna, Neelam Sinha, Hariharan Ramasangu |
| 2021 | Deep Learning for Brain Tumor Segmentation using Magnetic Resonance Images. Surbhi Gupta, Manoj Kumar Gupta |
| 2021 | DeepGREP: A deep convolutional neural network for predicting gene-regulating effects of small molecules. Benan Bardak, Mehmet Tan |
| 2021 | Discovering Missing Edges in Drug-Protein Networks: Repurposing Drugs for SARS-CoV-2. Fatemeh ZareMehrjardi, Athar Omidi, Cristina Sciortino, Ryan E. R. Reid, Ryan Lukeman, James Alexander Hughes, Othman Soufan |
| 2021 | Drug-target affinity prediction using applicability domain based on data density. Shunya Sugita, Masahito Ohue |
| 2021 | Dynamically Regulated Initialization for S-system Modelling of Genetic Networks. Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan |
| 2021 | Efficacy and accuracy responses of DNA mini-barcodes in species identification under a supervised machine learning approach. Mohimenul Karim, Rashid Abid |
| 2021 | Genome-scale prediction of bacterial promoters. Miria Bernardino, Robert G. Beiko |
| 2021 | Human Activity Recognition Using Convolutional Neural Networks. Gülüstan Dogan, Sinem Sena Ertas, Iremnaz Cay |
| 2021 | IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2021, Melbourne, Australia, October 13-15, 2021 Jennifer Hallinan, Madhu Chetty, Gonzalo Ruz Heredia, Adrian Shatte, Suryani Lim |
| 2021 | Identification of Genes Associated with Alzheimer's Disease using Evolutionary Computation. Guangyao Chen, James Sargant, Sheridan K. Houghten, Tyler Kennedy Collins |
| 2021 | Identification of chloroplast and sub-chloroplast proteins from sequence-attributed features using support vector machine and domain information. Ravindra Kumar, Anjali Garg, Bandana Kumari, Aakriti Jain, Manish Kumar, Equal Contribution |
| 2021 | Leveraging Neural Networks in Malaria Control. Joseph Livesey, Dominik Wojtczak |
| 2021 | Modelling The Fitness Landscapes of a SCRaMbLEd Yeast Genome. Bill Yang, Goksel Misirli, Anil Wipat, Jennifer Hallinan |
| 2021 | Multi-distance based spectral embedding fusion for clustering single-cell methylation data. Qi Tian, Jianxiao Zou, Jianxiong Tang, Shicai Fan |
| 2021 | One Moose, Two Moose, Three Fields, More? Daniel A. Ashlock, Joseph Alexander Brown, Sheridan K. Houghten, Munir Makhmutov |
| 2021 | Predicting Drug-Drug Interactions Using Meta-path Based Similarities. Farhan Tanvir, Muhammad Ifte Islam, Esra Akbas |
| 2021 | Predicting Influenza A Viral Host Using PSSM and Word Embeddings. Yanhua Xu, Dominik Wojtczak |
| 2021 | Quantitative Estimate of Protein-Protein Interaction Targeting Drug-likeness. Takatsugi Kosugi, Masahito Ohue |
| 2021 | Random Forest to Predict Eucalyptus as a Potential Herb in Preventing Covid19. Nabila Sekar Ramadhanti, Wisnu Ananta Kusuma, Irmanida Batubara, Rudi Heryanto |
| 2021 | Retinal Disease Classification from OCT Images Using Deep Learning Algorithms. Jongwoo Kim, Loc Q. Tran |
| 2021 | Ring Optimization of Epidemic Contact Networks. Daniel A. Ashlock, Joseph Alexander Brown, Wendy Ashlock, Michael Dubé |
| 2021 | Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data. Tamasha Malepathirana, Damith A. Senanayake, Vini Gautam, Saman K. Halgamuge |
| 2021 | SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks. Jaspreet Singh, Jaswinder Singh, Kuldip K. Paliwal, Andrew Busch, Yaoqi Zhou |
| 2021 | Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions. Batuhan Bardak, Mehmet Tan |
| 2021 | Using Evolved Neural Networks to Elucidate Nef Features Associated with HIV-1 Subtype Differentiation. Enoch S. Liu, Gary B. Fogel, David J. Nolan, Susanna L. Lamers, Michael S. McGrath |
| 2021 | Vaccinating a Population is a Changing Programming Problem. Sumaiya Amin, Sheridan K. Houghten, James Alexander Hughes |