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ORCIDCIBCB 2020: Viña del Mar, Chile
- IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2020, Viña del Mar, Chile, October 27-29, 2020. IEEE 2020, ISBN 978-1-7281-9468-4
- Shruti Jadon
:
A survey of loss functions for semantic segmentation. 1-7 - Vitaly I. Dobromyslin, Dalila B. Megherbi:
Analysis of Interacting Factors Contributing to the Onset of Diabetes Type 2 in the Female Pima Population: A Step towards Understanding the Links. 1-10 - Fabrizio Angaroni, Mattia Pennati, Lucrezia Patruno, Davide Maspero, Marco Antoniotti, Alex Graudenzi:
A closed-loop optimization framework for personalized cancer therapy design. 1-9 - Donghao Qiao, Farhana H. Zulkernine:
Dilated Squeeze-and-Excitation U-Net for Fetal Ultrasound Image Segmentation. 1-7 - Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl:
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. 1-8 - Taki Hasan Rafi:
An ensemble deep transfer-learning approach to identify COVID-19 cases from chest X-ray images. 1-5 - James Alexander Hughes, Ryan E. R. Reid, Sheridan K. Houghten, Ross E. Andersen:
Using Genetic Programming to Investigate a Novel Model of Resting Energy Expenditure for Bariatric Surgery Patients. 1-8 - Anirban Bandyopadhyay, Gaurav Sharma, Shubhajit Roy Chowdhury:
A Computational Model to Analyse E/I (Excitation/Inhibition) Dynamics for Neural Network Integrated with Astrocyte. 1-8 - Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich:
Unsupervised feature selection for tumor profiles using autoencoders and kernel methods. 1-8 - César Rivera, Mario Inostroza-Ponta, Manuel Villalobos-Cid:
A multimodal multi-objective optimisation approach to deal with the phylogenetic inference problem. 1-7 - Piotr Schneider, Grzegorz M. Wójcik, Andrzej Kawiak, Lukasz Kwasniewicz, Adam Wierzbicki:
True Or False: How Does Our Brain Decide About Truth? 1-9 - Etienne Dubois, Antonio Núñez Galindo, Loïc Dayon, Ornella Cominetti:
Comparison of normalization methods in clinical research applications of mass spectrometry-based proteomics. 1-10 - Darlington S. Mapiye, Mpho Mokoatle, Dineo Makoro, Stephanie J. Müller, Gciniwe S. Dlamini, James Mashiyane, Lavina Joseph, Nazir Ismail, Shaheed Vally Omar:
Phenotype Prediction of DNA Sequence Data: A Machine- and Statistical Learning Approach. 1-10 - Wendy Ashlock:
Visualizing Contact Networks Evolved To Fit Epidemic Profiles. 1-8 - Tomasz Krajka, Adam Misiura, Grzegorz M. Wójcik:
Simulation of the south-eastern Polish subpopulations behaviour. 1-8 - Sergio Rica, Gonzalo A. Ruz:
Estimating SIR model parameters from data using differential evolution: an application with COVID-19 data. 1-6 - Emilia Rutkowski, Sheridan K. Houghten, Joseph Alexander Brown:
Extracting Information from Weighted Contact Networks via Genetic Algorithms. 1-8 - Stiliyan Kalitzin, George Petkov, Matteo Demuru, Guido Widman:
Prospecting epilepsy surgery outcome using virtual resection paradigm. Computational-model validation. 1-8 - James Alexander Hughes, Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock:
Vaccinating a Population is a Programming Problem. 1-8 - Hasan Zafari, Sarah Langlois, Farhana H. Zulkernine, Leanne Kosowan, Alexander Singer:
Predicting Chronic Obstructive Pulmonary Disease from EMR data. 1-8 - Sharnendu Banik, Sheridan K. Houghten:
Effective Side Effect Machines for Decoding. 1-8 - Marco S. Nobile, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Luca Manzoni:
Fourier Surrogate Models of Dilated Fitness Landscapes in Systems Biology : or how we learned to torture optimization problems until they confess. 1-8 - Tatianne da Costa Negri, Alexandre Rossi Paschoal, Wonder Alexandre Luz Alves:
Comparison tools for lncRNA identification: analysis among plants and humans. 1-8 - Enoch S. Liu, Gary B. Fogel, David J. Nolan, Susanna L. Lamers, Michael S. McGrath:
Using Neural Networks to Identify Features Associated with HIV Nef Protein and Cancer. 1-8 - Corneliu T. C. Arsene:
Design of Deep Convolutional Neural Network Architectures for Denoising Electrocardiographic Signals. 1-8 - Daniel A. Ashlock, Haiyang Chang, Matthew Stoodley:
Odd Distance Anchors for Rapid Clustering. 1-8 - Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock, James Alexander Hughes:
Evolving the Curve. 1-8 - Paola Lecca, Michela Lecca, Paola Melotti, Virginia Lotti, Sara Preato, Karina Kleinfelder, Alessia Farinazzo, Claudio Sorio:
Computing organoids' volume in medical images: the case study of cystic fibrosis. 1-8 - Giuseppe Giacopelli, Michele Migliore, Domenico Tegolo:
Spatial graphs and Convolutive Models. 1-7 - Puwasuru Ihalagedara, Sandali Lokuge, Shyaman Jayasundara, Damayanthi Herath, Indika Kahanda:
miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact. 1-7 - Alberto Giaretta:
Noise in transcriptional, splicing and translational regulation. 1-6 - Mae Leong:
A Comparative Study on Machine Learning Algorithms and A Hybrid Model of Genetic Algorithm and Neural Network for Mesothelioma Diagnosis. 1-8
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