Jheng-Long Wu

发表

Stock Price Predication using Combinational Features from Sentimental Analysis of Stock News and Technical Analysis of Trading Information

Pei-Chann Chang, Jheng-Long Wu, Liang-Chih Yu, .

Emotion Classification by Incremental Association Language Features

P. Chang, Jheng-Long Wu, L. Yu, 2010 .

A Puzzle-Based Artificial Chromosome Genetic Algorithm for the Traveling Salesman Problem

P. Chang, Jyun-Jie Lin, Wei-Hsiu Huang, 2011, 2011 International Conference on Technologies and Applications of Artificial Intelligence.

A collaborative trading model by support vector regression and ts fuzzy rule for daily stock turni

P. Chang, Jheng-Long Wu, Kai-Ting Chang, 2011 .

Intelligent compilation of patent summaries using machine learning and natural language processing techniques

Jheng-Long Wu, Amy J. C. Trappey, Charles V. Trappey, 2020, Adv. Eng. Informatics.

Immune Clonal Feature Selection and Under-Sampling Ensemble for Web Spam Detection

Jheng-Long Wu, Peng Chang, Xiaoyong Lu, 2016 .

Bike sharing demand prediction using artificial immune system and artificial neural network

P. Chang, Min Zhang, Jheng-Long Wu, 2017, Soft Computing.

A critical feature extraction by kernel PCA in stock trading model

Jheng-Long Wu, Pei-Chann Chang, 2014, Soft Computing.

A multiple time series-based recurrent neural network for short-term load forecasting

Jheng-Long Wu, Pei-Chann Chang, Bing Zhang, 2017, Soft Computing.

Combine a Population-based Incremental Learning with Artificial Immune System for Intrusion Detection System

Pei-Chann Chang, Jheng-Long Wu, Hsuan-Ming Chen, 2012 .

A critical feature extraction by kernel PCA in stock trading model

Pei-Chann Chang, Jheng-Long Wu, P. Chang, 2015, Soft Comput..

Bike sharing demand prediction using artificial immune system and artificial neural network

Min Zhang, Pei-Chann Chang, Jheng-Long Wu, 2017, Soft Computing.

Building A Multi-Label Detection Model for Question classification of Auction Website

Jheng-Long Wu, I-Ju Lin, 2020, ROCLING.

A Takagi-Sugeno fuzzy model combined with a support vector regression for stock trading forecasting

Pei-Chann Chang, Jheng-Long Wu, Jyun-Jie Lin, 2016, Appl. Soft Comput..

A Deep Learning Framework for Coreference Resolution Based on Convolutional Neural Network

Jheng-Long Wu, Wei-Yun Ma, Wei-Yun Ma, 2017, 2017 IEEE 11th International Conference on Semantic Computing (ICSC).

A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection

Pei-Chann Chang, Jheng-Long Wu, Mu-Sheng Chen, 2017, Pattern Analysis and Applications.

Sentiment-based masked language modeling for improving sentence-level valence–arousal prediction

Jheng-Long Wu, W. Chung, 2022, Applied Intelligence.

Detecting causality from online psychiatric texts using inter-sentential language patterns

Pei-Chann Chang, Jheng-Long Wu, Liang-Chih Yu, 2012, BMC Medical Informatics and Decision Making.

A patent quality analysis and classification system using self-organizing maps with support vector machine

Pei-Chann Chang, Jheng-Long Wu, Chin-Yuan Fan, 2016, Appl. Soft Comput..

Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news

Pei-Chann Chang, Jheng-Long Wu, Liang-Chih Yu, 2013, Knowl. Based Syst..

Sentiment analysis of stock markets using a novel dimensional valence–arousal approach

Min-Tzu Huang, Jheng-Long Wu, Chi-Sheng Yang, 2021, Soft Computing.

Sentiment analysis of stock markets using a novel dimensional valence–arousal approach

Min-Tzu Huang, Jheng-Long Wu, Chi-Sheng Yang, 2021, Soft Comput..

A block mining and re-combination enhanced genetic algorithm for the permutation flowshop scheduling problem

Wei-Hsiu Huang, Jheng-Long Wu, T.C.E. Cheng, 2013 .

The stability analysis for a novel feedback neural network with partial connection

Pei-Chann Chang, Jheng-Long Wu, Li Zhang, 2013, Neurocomputing.

A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches

Jheng-Long Wu, Xian-Rong Tang, Chin-Hsiung Hsu, 2022, Soft Computing.

Emotion classification by removal of the overlap from incremental association language features

Pei-Chann Chang, Jheng-Long Wu, Liang-Chih Yu, 2011 .

A Trend-Based Segmentation Method and the Support Vector Regression for Financial Time Series Forecasting

Pei-Chann Chang, Jheng-Long Wu, P. Chang, 2012 .

Patent analysis and classification prediction of biomedicine industry: SOM-KPCA-SVM model

Jheng-Long Wu, Bingchun Liu, Mingzhao Lai, 2019, Multimedia Tools and Applications.

Stability Analysis of a Partially Connected Feedback Neural Network

Pei-Chann Chang, Wei-Hsiu Huang, Jheng-Long Wu, 2011 .

A Deep Recurrent Neural Network for Air Quality Classification

Pei-Chann Chang, Rui Zhang, Jheng-Long Wu, 2018, J. Inf. Hiding Multim. Signal Process..

A Prediction System for Bike Sharing Using Artificial Immune System with Regression Trees

Pei-Chann Chang, Jheng-Long Wu, P. Chang, 2015, 2015 IIAI 4th International Congress on Advanced Applied Informatics.

A multiple time series-based recurrent neural network for short-term load forecasting

Pei-Chann Chang, Bing Zhang, Jhen-Long Wu, 2017, Soft Computing.

A population-based incremental learning approach with artificial immune system for network intrusion detection

Pei-Chann Chang, Jheng-Long Wu, Meng-Hui Chen, 2016, Eng. Appl. Artif. Intell..

A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection

P. Chang, Jheng-Long Wu, Meng-Hui Chen, 2018, Pattern Analysis and Applications.

A Partially Connected Neural Evolutionary Network for Stock Price Index Forecasting

Pei-Chann Chang, Jheng-Long Wu, Changle Zhou, 2011, ICIC.

Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model

Jheng-Long Wu, Liang-Chih Yu, K. Robert Lai, 2020, IEEE Access.

Using an analogical reasoning framework to infer language patterns for negative life events

Jheng-Long Wu, Liang-Chih Yu, Shao-Zhen Ye, 2019, BMC Medical Informatics and Decision Making.

A Hybrid Model Combining SOMs with SVRs for Patent Quality Analysis and Classification

Pei-Chann Chang, Jheng-Long Wu, Chin-Yuan Fan, 2016, DMBD.