Yu-Yen Ou

Orcid: 0000-0002-9894-926X

According to our database1, Yu-Yen Ou authored at least 40 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
Anti-Drugs Chatbot: Chinese BERT-Based Cognitive Intent Analysis.
IEEE Trans. Comput. Soc. Syst., February, 2024

DeepPLM_mCNN: An approach for enhancing ion channel and ion transporter recognition by multi-window CNN based on features from pre-trained language models.
Comput. Biol. Chem., 2024

2022
An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Use Chou's 5-Steps Rule With Different Word Embedding Types to Boost Performance of Electron Transport Protein Prediction Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

mCNN-ETC: identifying electron transporters and their functional families by using multiple windows scanning techniques in convolutional neural networks with evolutionary information of protein sequences.
Briefings Bioinform., 2022

2021
GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models.
Comput. Biol. Medicine, 2021

TRP-BERT: Discrimination of transient receptor potential (TRP) channels using contextual representations from deep bidirectional transformer based on BERT.
Comput. Biol. Medicine, 2021

Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels.
Comput. Biol. Medicine, 2021

FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers.
Comput. Biol. Medicine, 2021

ActTRANS: Functional classification in active transport proteins based on transfer learning and contextual representations.
Comput. Biol. Chem., 2021

DeepSIRT: A deep neural network for identification of sirtuin targets and their subcellular localizations.
Comput. Biol. Chem., 2021

Addressing data imbalance problems in ligand-binding site prediction using a variational autoencoder and a convolutional neural network.
Briefings Bioinform., 2021

A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information.
Briefings Bioinform., 2021

2020
DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes.
Neurocomputing, 2020

Advantages and Constraints of a Hybrid Model K-12 E-Learning Assistant Chatbot.
IEEE Access, 2020

A Self-Relevant CNN-SVM Model for Problem Classification in K-12 Question-Driven Learning.
IEEE Access, 2020

2019
DeepIon: Deep learning approach for classifying ion transporters and ion channels from membrane proteins.
J. Comput. Chem., 2019

Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins.
J. Bioinform. Comput. Biol., 2019

Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market.
CoRR, 2019

2018
Incorporating post translational modification information for enhancing the predictive performance of membrane transport proteins.
Comput. Biol. Chem., 2018

DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters.
Bioinform., 2018

2017
Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins.
J. Comput. Chem., 2017

2016
Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins.
BMC Bioinform., 2016

Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs.
BMC Bioinform., 2016

Using Deep Learning with Position Specific Scoring Matrices to Identify Efflux Proteins in Membrane and Transport Proteins.
Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2014
Bioinformatics approaches for functional annotation of membrane proteins.
Briefings Bioinform., 2014

2011
Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties.
Bioinform., 2011

2010
Prediction of membrane spanning segments and topology in beta-barrel membrane proteins at better accuracy.
J. Comput. Chem., 2010

Incorporating significant amino acid pairs to identify O-linked glycosylation sites on transmembrane proteins and non-transmembrane proteins.
BMC Bioinform., 2010

Topology Prediction of <i>alpha</i>-Helical and <i>beta</i>-Barrel Transmembrane Proteins Using RBF Networks.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

2009
Using Efficient RBF Networks to Classify Transport Proteins Based on PSSM Profiles and Biochemical Properties.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008
TMBETADISC-RBF: Discrimination of beta-barrel membrane proteins using RBF networks and PSSM profiles.
Comput. Biol. Chem., 2008

2007
Using Efficient RBF Network to Identify Interface Residues Based on PSSM Profiles and Biochemical Properties.
Proceedings of the Pattern Recognition in Bioinformatics, 2007

Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

Enhancing Protein Disorder Detection by Refined Secondary Structure Prediction.
Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

2006
Protein disorder prediction by condensed PSSM considering propensity for order or disorder.
BMC Bioinform., 2006

Expediting Model Selection for Support Vector Machines Based on an Advanced Data Reduction Algorithm.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

A Study of Supervised Learning with Multivariate Analysis on Unbalanced Datasets.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Data classification with radial basis function networks based on a novel kernel density estimation algorithm.
IEEE Trans. Neural Networks, 2005

2003
Expediting model selection for Support Vector Machines based on data reduction.
Proceedings of the IEEE International Conference on Systems, 2003


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