Pei-Chann Chang

Management Science and Operations Research · 2002–2012

A researcher in the Science corpus: 11 papers; trusts 15 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 39 citations into it; #1,150 of 11,946 by trust here, #1,128 by citations
• Artificial Intelligence — 37 citations into it; #7,527 of 35,345 by trust here, #11,327 by citations
• Computer Vision and Pattern Recognition — 18 citations into it
• Economics and Econometrics — 15 citations into it
• Computational Mechanics — 13 citations into it
• Finance — 9 citations into it
• Statistics and Probability — 9 citations into it; #5,331 of 12,932 by trust here, #8,279 by citations
• Optimization & Training — 8 citations into it

Whom Pei-Chann Chang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yen-Wen Wang
2. Kyoung-jae Kim
3. David L. Donoho
4. Tim Bollerslev
5. An-Sing Chen
6. Ingoo Han
7. Yanqing Zhang
8. E.J. Candes
9. Iain M. Johnstone
10. Ajith Abraham

Who trusts Pei-Chann Chang overall

1. Salim Lahmiri
2. Nijolė Maknickienė
3. Akbar Esfahanipour
4. Prodromos Konstandinos Chourmouziadis
5. Shuo-Yan Chou
6. Chin-Yuan Fan
7. Chen-Hao Liu
8. Tao Xiong
9. Chih-Feng Liu
10. Esmaeil Hadavandi

Papers from Pei-Chann Chang's perspective

Ordered by how strongly the researchers Pei-Chann Chang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. LIBSVM: A library for support vector machines
5. Learning representations by back-propagating errors
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
9. ImageNet: A large-scale hierarchical image database
10. Stable signal recovery from incomplete and inaccurate measurements

Their papers

• A TSK type fuzzy rule based system for stock price prediction (2008) — 328 citations
• AN INVESTIGATION OF THE HYBRID FORECASTING MODELS FOR STOCK PRICE VARIATION IN TAIWAN (2004) — 45 citations
• Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry (2006) — 184 citations
• A novel model by evolving partially connected neural network for stock price trend forecasting (2012) — 126 citations
• Evolving and clustering fuzzy decision tree for financial time series data forecasting (2009) — 169 citations
• A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting (2008) — 108 citations
• A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification (2011) — 220 citations
• A dynamic threshold decision system for stock trading signal detection (2011) — 77 citations
• Kernel Sparse Representation-Based Classifier (2012) — 327 citations
• A neural network with a case based dynamic window for stock trading prediction (2009) — 173 citations
• The development of gradual-priority weighting approach for the multi-objective flowshop scheduling problem (2002) — 93 citations