Emily Chia-Yu Su

Orcid: 0000-0003-4801-5159

According to our database1, Emily Chia-Yu Su authored at least 24 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Dimension reduction and visualization of multiple time series data: a symbolic data analysis approach.
Comput. Stat., June, 2024

Human-guided deep learning with ante-hoc explainability by convolutional network from non-image data for pregnancy prognostication.
Neural Networks, May, 2023

Prognosticating Fetal Growth Restriction and Small for Gestational Age by Medical History.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Assessing Internet Search Models in Predicting Daily New COVID-19 Cases and Deaths in South Korea.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Prescribing Decision Support System for Patient Safety and to Prevent Fraud and Overspending in Indonesian National Health Insurance.
Proceedings of the 7th International Conference on Medical and Health Informatics, 2023

Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women.
BMC Medical Informatics Decis. Mak., 2021

Lightweight deep neural networks for cholelithiasis and cholecystitis detection by point-of-care ultrasound.
Comput. Methods Programs Biomed., 2021

Co-AMPpred for in silico-aided predictions of antimicrobial peptides by integrating composition-based features.
BMC Bioinform., 2021

Improving Dengue Surveillance System with Administrative Claim Data in Indonesia: Opportunities and Challenges.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

RNA editing-based classification of diffuse gliomas: predicting isocitrate dehydrogenase mutation and chromosome 1p/19q codeletion.
BMC Bioinform., December, 2019

Improving Allergenic Protein Prediction Using Physicochemical Features on Non-Redundant Sequences.
Proceedings of the 2019 International Conference on Machine Learning and Cybernetics, 2019

Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms.
BMC Bioinform., 2018

Adverse Drug Reaction Post Classification with Imbalanced Classification Techniques.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2018

Unity is Strength: Improving biomedical classification performance based on ensemble learning approaches.
Comput. Methods Programs Biomed., 2017

NTTMU System in the 2nd Social Media Mining for Health Applications Shared Task.
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017

ChemiRs: a web application for microRNAs and chemicals.
BMC Bioinform., 2016

Prediction of HIV-1 protease cleavage site using a combination of sequence, structural, and physicochemical features.
BMC Bioinform., 2016

BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID.
Database J. Biol. Databases Curation, 2016

NTTMUNSW BioC modules for recognizing and normalizing species and gene/protein mentions.
Database J. Biol. Databases Curation, 2016

Prediction of B-cell epitopes using evolutionary information and propensity scales.
BMC Bioinform., 2013

Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.
BMC Bioinform., 2012

Predicting RNA-binding sites of proteins using support vector machines and evolutionary information.
BMC Bioinform., 2008

Protein subcellular localization prediction based on compartment-specific features and structure conservation.
BMC Bioinform., 2007

A Novel Approach for Prediction of Multi-Labeled Protein Subcellular Localization for Prokaryotic Bacteria.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005