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ORCIDCIBCB 2022: Ottawa, ON, Canada
- IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, Ottawa, ON, Canada, August 15-17, 2022. IEEE 2022, ISBN 978-1-6654-8462-6
- Anass Garbaz
, Samira Lafraxo, Said Charfi, Mohamed El Ansari, Lahcen Koutti:
Bleeding classification in Wireless Capsule Endoscopy Images based on Inception-ResNet-V2 and CNNs. 1-6 - Shuai You, Xiaolin Huang, Li Xing, Youlian Pan, Xuekui Zhang:
Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data. 1-6 - Spencer Angus Thomas:
Fast Data Driven Estimation of Cluster Number in Multiplex Images using Embedded Density Outliers. 1-8 - Yuxuan Zhang, Xiao Zhang, Jinlian Du:
Non-Invasive Blood Pressure Measurement Using A Mobile Phone Camera. 1-6 - Hasini Nakulugamuwa Gamage, Madhu Chetty, Adrian Shatte, Jennifer Hallinan:
Ensemble Regression Modelling for Genetic Network Inference. 1-8 - Seyedeh Shaghayegh Sadeghi, Alioune Ngom:
DDIPred: Graph Convolutional Network-Based Drug-drug Interactions Prediction Using Drug Chemical Structure Embedding. 1-6 - Caro Fuchs, Simone Spolaor, Uzay Kaymak, Marco S. Nobile:
The Impact of Variable Selection and Transformation on the Interpretability and Accuracy of Fuzzy Models. 1-8 - Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst:
Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19. 1-8 - Christian Atallah, Katherine James, Zhen Ou, James Skelton, David Markham, James Finnigan, Simon Charnock, Anil Wipat:
Automatic Diverse Subset Selection From Enzyme Families by Solving the Maximum Diversity Problem. 1-9 - Jongwoo Kim, Loc Q. Tran, Tunde Peto, Emily Y. Chew:
Deep Learning and Ensemble Method for Optic Disc and Cup Segmentation. 1-8 - Surya Kasturi, William T. Tran, Alex Shenfield:
Accurate Nuclei Segmentation in Breast Cancer Tumour Biopsies. 1-8 - Gary B. Fogel, Enoch S. Liu, Brad Abramson, Semar Petrus, Tyler Barrus, Granger G. Sutton, Todd Michael, Sterling Thomas:
Identification of Synthetic Engineering in Prokaryotic Genomes Using Evolved Neural Networks. 1-8 - Alexandru Filip, Seyedeh Shaghayegh Sadeghi, Alioune Ngom, Luis Rueda:
DeePSLiM: A Deep Learning Approach to Identify Predictive Short-linear Motifs for Protein Sequence Classification. 1-8 - Hamed Ghazikhani, Gregory Butler:
TooT-BERT-M: Discriminating Membrane Proteins from Non-Membrane Proteins using a BERT Representation of Protein Primary Sequences. 1-8 - Yasin Mamatjan, Mathew Voisin, Farshad Nassiri, Mira Salih, Fabio Y. Moraes, Severa Bunda, Risalet Tursun, Andreas von Deimling, Kenneth D. Aldape, Gelareh Zadeh:
Identification of the Prognostic Signatures for Isocitrate Dehydrogenase Mutant Glioma. 1-7 - Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Mohammed Almekhlafi:
Sensitivity Analysis of Stroke Predictors Using Structural Equation Modeling and Bayesian Networks. 1-8 - Evanjelin Mahmoodi, Anthony M. Musolf, James D. Malley, Daniel S. Kiser, Dwight Stambolian, Qing Li, Joan E. Bailey-Wilson:
Entanglement Mapping: A Novel Method to Detect Interacting SNPs in Genome-Wide Studies. 1-10 - Michael Dubé, Sheridan K. Houghten:
Evaluation of Frameworks for Epidemic Variants and Infectivity using an Evolutionary Algorithm. 1-9 - Kairi Furui, Masahito Ohue:
Compound Virtual Screening by Learning-to-Rank with Gradient Boosting Decision Tree and Enrichment-based Cumulative Gain. 1-7 - Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile:
Predicting and Characterizing Legal Claims of Hospitals with Computational Intelligence: the Legal and Ethical Implications. 1-9 - Simone G. Riva, Brynelle Myers, Paolo Cazzaniga, Andrea Tangherloni:
A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data. 1-8 - Shuhei Kimura, Kazuki Sota, Masato Tokuhisa:
Inference of Genetic Networks using Random Forests: A Quantitative Weighting Method for Gene Expression Data. 1-8 - Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh:
HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data. 1-8 - Andreea Avramescu, Richard Allmendinger, Manuel López-Ibáñez, Adriana G. Lopes:
Composite Facility Location Problems: A Case Study of Personalised Medicine. 1-8 - Fatemeh ZareMehrjardi, Ryan E. R. Reid, Ross E. Andersen, James Alexander Hughes:
Assessment of the Relationship Between Physical Behaviours, Psychological Factors, Medication Use, Body Composition and Weight Regain Following Bariatric Surgery. 1-11 - Mustafa Misir:
Automated Portfolio Generation for Selection Hyper-heuristics: an Application to Protein Structure Prediction on 2D HP Model. 1-8 - Ryan McBride, Herbert H. Tsang:
Length-Based Substructure Mutation Policies for Improved RNA Design in Simulated Annealing. 1-9 - Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile:
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. 1-8 - Andrea Tangherloni, Simone G. Riva, Brynelle Myers, Paolo Cazzaniga:
Multi-objective Optimization for Marker Panel Identification in Single-cell Data. 1-8 - Awni Altabaa, David Huang, Ciaran Byles-Ho, Hani Khatib, Fabian Sosa, Ting Hu:
geneDRAGNN: Gene Disease Prioritization using Graph Neural Networks. 1-10 - Jaskaran Gill, Madhu Chetty, Adrian Shatte, Jennifer Hallinan:
Integrating steady-state and dynamic gene expression data for improving genetic network modelling. 1-8 - Jyoti Sharma, Khadija Sana Hafeez, Sushmita Paul:
Prioritizing Variants using Rough-set based Relevance Algorithm for GWAS. 1-8 - Esra Demir:
Big Biological Data: Need for a Reorientation of the Governance Framework. 1-7 - Alain B. Tchagang, Julio J. Valdés:
Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties. 1-5 - James Sargant, Michael Dubé, Sheridan K. Houghten:
Evolving Lockdown Strategies to Minimize Infections in an Epidemic. 1-8 - Omid Mohamad Beigi, Lígia Reis Nóbrega, Sheridan K. Houghten, Adriano de Oliveira Andrade, Adriano Alves Pereira:
Classification of Parkinson's Disease Patients and Effectiveness of Medication for Freezing of Gait. 1-8 - Sima Ataei, Gregory Butler:
Predicting the specific substrate for transmembrane transport proteins using BERT language model. 1-8 - Aws Al Jumaily, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li:
Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug Design. 1-8 - 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:
Analysis of Microwave Scans of Cancer Patients for Classification of Treated and Untreated Tissue. 1-8 - Peiyu Cui, Kay C. Wiese:
EvoDNN - Evolving Weights, Biases, and Activation Functions in a Deep Neural Network. 1-9 - Rafia Akhter, Faraz Ahmad, Fred R. Beyette:
Automated Detection of ERP artifacts of auditory oddball paradigm by Unsupervised Machine Learning Algorithm. 1-8 - Gonzalo A. Ruz, Eric Goles:
Learning binary threshold networks for gene regulatory network modeling. 1-8 - Neringa Jurenaite, Daniel León Periñán, Veronika Donath, Sunna Torge, René Jäkel:
SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics. 1-9
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