Youngseon Jeong
Artificial Intelligence · 2009–2013
A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #13,040 of 35,345 by trust here, #25,040 by citations
- Control and Systems Engineering — 13 citations into it; #7,120 of 8,257 by trust here, #3,865 by citations
- Building and Construction — 12 citations into it; #1,475 of 2,909 by trust here, #1,369 by citations
- Transportation — 9 citations into it; #1,092 of 2,062 by trust here, #774 by citations
- Signal Processing — 7 citations into it; #2,453 of 7,572 by trust here, #4,900 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Youngseon Jeong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eamonn J. Keogh
- Vladimir Naumovich Vapni
- Chotirat (Ann) Ratanamahatana
- Toni M. Rath
- Michael Hüsken
- William S. Cleveland
- Michail Vlachos
- Weizhong Zheng
- Chun-Hsin Wu
- Xiaomo Jiang
Who trusts Youngseon Jeong overall
- Anthony J. Bagnall
- Charu C. Aggarwal
- Jason Lines
- Sarvesh Vishwakarma
- Jon Hills
- Mustafa Gokce Baydogan
- Feng Jiang
- Zheng Fang
- Shengna Guo
- Yisheng Lv
Papers from Youngseon Jeong's perspective
Ordered by how strongly the researchers Youngseon Jeong trusts endorse each paper. Same corpus, a different order for every researcher.
- Word image matching using dynamic time warping (2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.)
- Exact indexing of dynamic time warping (Knowledge and Information Systems)
- Making Time-Series Classification More Accurate Using Learned Constraints (SDM)
- Discovering similar multidimensional trajectories (Proceedings / International Conference on Data Engineering)
- An object-oriented neural network approach to short-term traffic forecasting (European Journal of Operational Research)
- Fast time series classification using numerosity reduction (International Conference on Machine Learning)
- Dynamic Wavelet Neural Network Model for Traffic Flow Forecasting
- The Nature of Statistical Learning Theory
- Comparison of parametric and nonparametric models for traffic flow forecasting
- Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
Their papers
- Supervised Weighting-Online Learning Algorithm for Short-Term Traffic Flow Prediction (2013) — 306 citations
- Weighted dynamic time warping for time series classification (2011) — 700 citations
- Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2009) — 828 citations