| 2022 | Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug Design. | Aws Al Jumaily, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li |
| 2022 | HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data. | Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh |
| 2022 | Integrating steady-state and dynamic gene expression data for improving genetic network modelling. | Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan |
| 2022 | TooT-BERT-M: Discriminating Membrane Proteins from Non-Membrane Proteins using a BERT Representation of Protein Primary Sequences. | Hamed Ghazikhani, Gregory Butler |
| 2022 | Analysis of Microwave Scans of Cancer Patients for Classification of Treated and Untreated Tissue. | Anita Garland, Helder Oliveira, Svetlana N. Yanushkevich, Katrin Smith, Jeremie Bourqui, Elise C. Fear, Sarah Quirk, Michael Roumeliotis, Petra Grendarova, James Pinilla, Mark Lesiuk, Alison Gourley |
| 2022 | Bleeding classification in Wireless Capsule Endoscopy Images based on Inception-ResNet-V2 and CNNs. | Anass Garbaz, Samira Lafraxo, Said Charfi, Mohamed El Ansari, Lahcen Koutti |
| 2022 | Ensemble Regression Modelling for Genetic Network Inference. | Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan |
| 2022 | Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. | Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile |
| 2022 | Compound Virtual Screening by Learning-to-Rank with Gradient Boosting Decision Tree and Enrichment-based Cumulative Gain. | Kairi Furui, Masahito Ohue |
| 2022 | The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models. | Caro Fuchs, Simone Spolaor, Uzay Kaymak, Marco S. Nobile |
| 2022 | Identification of Synthetic Engineering in Prokaryotic Genomes Using Evolved Neural Networks. | Gary B. Fogel, Enoch S. Liu, Brad Abramson, Semar Petrus, Tyler Barrus, Granger G. Sutton, Todd Michael, Sterling Thomas |
| 2022 | DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification. | Alexandru Filip, Seyedeh Shaghayegh Sadeghi, Alioune Ngom, Luis Rueda |
| 2022 | Evaluation of Frameworks for Epidemic Variants and Infectivity using an Evolutionary Algorithm. | Michael Dub, Sheridan K. Houghten |
| 2022 | Big Biological Data: Need for a Reorientation of the Governance Framework. | Esra Demir |
| 2022 | EvoDNN - Evolving Weights, Biases, and Activation Functions in a Deep Neural Network. | Peiyu Cui, Kay C. Wiese |
| 2022 | Classification of Parkinson's Disease Patients and Effectiveness of Medication for Freezing of Gait. | Omid Mohamad Beigi, Lgia Reis Nbrega, Sheridan K. Houghten, Adriano de Oliveira Andrade, Adriano Alves Pereira |
| 2022 | Composite Facility Location Problems: A Case Study of Personalised Medicine. | Andreea Avramescu, Richard Allmendinger, Manuel Lpez-Ibez, Adriana G. Lopes |
| 2022 | Automatic Diverse Subset Selection From Enzyme Families by Solving the Maximum Diversity Problem. | Christian Atallah, Katherine James, Zhen Ou, James Skelton, David Markham, James Finnigan, Simon Charnock, Anil Wipat |
| 2022 | Predicting the specific substrate for transmembrane transport proteins using BERT language model. | Sima Ataei, Gregory Butler |
| 2022 | geneDRAGNN: Gene Disease Prioritization using Graph Neural Networks. | Awni Altabaa, David Huang, Ciaran Byles-Ho, Hani Khatib, Fabian Sosa, Ting Hu |
| 2022 | Automated Detection of ERP artifacts of auditory oddball paradigm by Unsupervised Machine Learning Algorithm. | Rafia Akhter, Faraz Ahmad, Fred R. Beyette |
| 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 | CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet. | Alberto Zancanaro, Giulia Cisotto, Joo Ruivo Paulo, Gabriel Pires, Urbano J. Nunes |
| 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 | Modelling The Fitness Landscapes of a SCRaMbLEd Yeast Genome. | Bill Yang, Goksel Misirli, Anil Wipat, Jennifer Hallinan |