CIBCB C

33 papers

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