| 2022 | A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data. Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Andrea Tangherloni |
| 2022 | Accurate Nuclei Segmentation in Breast Cancer Tumour Biopsies. Surya Kasturi, William T. Tran, Alex Shenfield |
| 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 | Assessment of the Relationship Between Physical Behaviours, Psychological Factors, Medication Use, Body Composition and Weight Regain Following Bariatric Surgery. Fatemeh ZareMehrjardi, Ryan E. R. Reid, Ross E. Andersen, James Alexander Hughes |
| 2022 | Automated Detection of ERP artifacts of auditory oddball paradigm by Unsupervised Machine Learning Algorithm. Rafia Akhter, Faraz Ahmad, Fred R. Beyette |
| 2022 | Automated Portfolio Generation for Selection Hyper-heuristics: an Application to Protein Structure Prediction on 2D HP Model. Mustafa Misir |
| 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 | Big Biological Data: Need for a Reorientation of the Governance Framework. Esra Demir |
| 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 | Classification of Parkinson's Disease Patients and Effectiveness of Medication for Freezing of Gait. Omid Mohamad Beigi, Lígia Reis Nóbrega, Sheridan K. Houghten, Adriano de Oliveira Andrade, Adriano Alves Pereira |
| 2022 | Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst |
| 2022 | Composite Facility Location Problems: A Case Study of Personalised Medicine. Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez, Adriana G. Lopes |
| 2022 | Compound Virtual Screening by Learning-to-Rank with Gradient Boosting Decision Tree and Enrichment-based Cumulative Gain. Kairi Furui, Masahito Ohue |
| 2022 | DDIPred: Graph Convolutional Network-Based Drug-drug Interactions Prediction Using Drug Chemical Structure Embedding. Seyedeh Shaghayegh Sadeghi, Alioune Ngom |
| 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 | Deep Learning and Ensemble Method for Optic Disc and Cup Segmentation. Jongwoo Kim, Loc Q. Tran, Tunde Peto, Emily Y. Chew |
| 2022 | Ensemble Regression Modelling for Genetic Network Inference. Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan |
| 2022 | Entanglement Mapping: A Novel Method to Detect Interacting SNPs in Genome-Wide Studies. Evanjelin Mahmoodi, Anthony M. Musolf, James D. Malley, Daniel S. Kiser, Dwight Stambolian, Qing Li, Joan E. Bailey-Wilson |
| 2022 | Evaluation of Frameworks for Epidemic Variants and Infectivity using an Evolutionary Algorithm. Michael Dubé, Sheridan K. Houghten |
| 2022 | EvoDNN - Evolving Weights, Biases, and Activation Functions in a Deep Neural Network. Peiyu Cui, Kay C. Wiese |
| 2022 | Evolving Lockdown Strategies to Minimize Infections in an Epidemic. James Sargant, Michael Dubé, Sheridan K. Houghten |
| 2022 | Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug Design. Aws Al Jumaily, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li |
| 2022 | Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers. Spencer Angus Thomas |
| 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 | Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data. Shuai You, Xiaolin Huang, Li Xing, Youlian Pan, Xuekui Zhang |
| 2022 | IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, Ottawa, ON, Canada, August 15-17, 2022 |
| 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 | Identification of the Prognostic Signatures for Isocitrate Dehydrogenase Mutant Glioma. Yasin Mamatjan, Mathew Voisin, Farshad Nassiri, Mira Salih, Fabio Y. Moraes, Severa Bunda, Risalet Tursun, Andreas von Deimling, Kenneth D. Aldape, Gelareh Zadeh |
| 2022 | Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data. Shuhei Kimura, Kazuki Sota, Masato Tokuhisa |
| 2022 | Integrating steady-state and dynamic gene expression data for improving genetic network modelling. Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan |
| 2022 | Learning binary threshold networks for gene regulatory network modeling. Gonzalo A. Ruz, Eric Goles |
| 2022 | Length-Based Substructure Mutation Policies for Improved RNA Design in Simulated Annealing. Ryan McBride, Herbert H. Tsang |
| 2022 | Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile |
| 2022 | Multi-objective Optimization for Marker Panel Identification in Single-cell Data. Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Paolo Cazzaniga |
| 2022 | Non-Invasive Blood Pressure Measurement Using A Mobile Phone Camera. Yuxuan Zhang, Xiao Zhang, Jinlian Du |
| 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 | Predicting the specific substrate for transmembrane transport proteins using BERT language model. Sima Ataei, Gregory Butler |
| 2022 | Prioritizing Variants using Rough-set based Relevance Algorithm for GWAS. Jyoti Sharma, Khadija Sana Hafeez, Sushmita Paul |
| 2022 | Sensitivity Analysis of Stroke Predictors Using Structural Equation Modeling and Bayesian Networks. Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Mohammed Almekhlafi |
| 2022 | SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics. Neringa Jurenaite, Daniel León Periñán, Veronika Donath, Sunna Torge, René Jäkel |
| 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 | TooT-BERT-M: Discriminating Membrane Proteins from Non-Membrane Proteins using a BERT Representation of Protein Primary Sequences. Hamed Ghazikhani, Gregory Butler |
| 2022 | Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties. Alain B. Tchagang, Julio J. Valdés |
| 2022 | geneDRAGNN: Gene Disease Prioritization using Graph Neural Networks. Awni Altabaa, David Huang, Ciaran Byles-Ho, Hani Khatib, Fabian Sosa, Ting Hu |