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2020 – today
- 2024
[c69]Bor-Chen Kuo, Pei-Chen Wu, Chen-Huei Liao:
GPT-3.5, GPT-4, Bard, and Claude's Performance on the Chinese Reading Comprehension Test. LAK Workshops 2024: 219-222- 2023
- [j25]Shu-Chuan Shih
, Chih-Chia Chang, Bor-Chen Kuo, Yu-Han Huang:
Mathematics intelligent tutoring system for learning multiplication and division of fractions based on diagnostic teaching. Educ. Inf. Technol. 28(7): 9189-9210 (2023) - [c68]Bor-Chen Kuo, Frederic T. Y. Chang, Zong-En Bai:
Leveraging LLMs for Adaptive Testing and Learning in Taiwan Adaptive Learning Platform (TALP). LLM@AIED 2023: 101-110 - 2021
- [c67]Kai-Chih Pai, Bor-Chen Kuo, Shu-Chuan Shih, Huey-Min Wu, Hsiao-Yun Huang, Chih-Wei Yang, Chia-Hua Lin:
Learner Characteristics in a Chinese Mathematical Intelligent Tutoring System. HCI (31) 2021: 382-393
2010 – 2019
- 2019
- [c66]Bor-Chen Kuo, Chia-Hua Lin, Kai-Chih Pai, Shu-Chuan Shih, Chen-Huei Liao:
Using Learning Analytics to Explore the Performance of Chinese Mathematical Intelligent Tutoring System. HCI (32) 2019: 432-443 - 2018
- [j24]Cheng-Hsuan Li, Huey-Min Wu, Bor-Chen Kuo, Yu-Mao Yang, Chin-Kai Lin, Wei-Hsiang Wang:
The validity of computerized visual motor integration assessment using Chinese basic strokes. Interact. Learn. Environ. 26(8): 1074-1089 (2018) - 2017
- [j23]Huey-Min Wu, Bor-Chen Kuo, Su-Chen Wang:
Computerized Dynamic Adaptive Tests with Immediately Individualized Feedback for Primary School Mathematics Learning. J. Educ. Technol. Soc. 20(1): 61-72 (2017) - [c65]Yu-Ju Lu, Bor-Chen Kuo, Kai-Chih Pai:
Developing Chinese Automated Essay Scoring Model to Assess College Students' Essay Quality. EDM 2017 - [c64]Cheng-Hsuan Li, Pei-Jyun Hsieh, Bor-Chen Kuo:
Multiple SVMS based on random subspaces from kernel feature importance for hyperspectral image classification. IGARSS 2017: 574-577 - 2016
- [j22]Mu-Yu Ting, Bor-Chen Kuo:
Indefinite integral automatic analysis mechanism research and development - Using integrals involving quadratic square roots as an example. Comput. Electr. Eng. 51: 356-369 (2016) - [j21]Mu-Yu Ting, Bor-Chen Kuo:
A knowledge-structure-based adaptive dynamic assessment system for calculus learning. J. Comput. Assist. Learn. 32(2): 105-119 (2016) - 2015
- [c63]Pei-Jyun Hsieh, Cheng-Hsuan Li, Bor-Chen Kuo:
A nonlinear feature selection method based on kernel separability measure for hyperspectral image classification. IGARSS 2015: 461-464 - [c62]Pei-Jyun Hsieh, Cheng-Hsuan Li, Bor-Chen Kuo, Pei-Ling Tsai:
An automatic kernel parameter selection method for kernel nonparametric weighted feature extraction with the RBF kernel for hyperspectral image classification. IGARSS 2015: 1706-1709 - [p1]Chih-Hung Wu, Bor-Chen Kuo, Gwo-Hshiung Tzeng:
Investigation of Time Interval Size Effect on SVM Model in Emotion Norm Database. New Trends in Intelligent Information and Database Systems 2015: 121-128 - 2014
- [j20]Chih-Hung Wu, Yi-Lin Tzeng, Bor-Chen Kuo, Gwo-Hshiung Tzeng:
Integration of affective computing techniques and soft computing for developing a human affective recognition system for U-learning systems. Int. J. Mob. Learn. Organisation 8(1): 50-66 (2014) - [j19]Bor-Chen Kuo, Hsin-Hua Ho, Cheng-Hsuan Li, Chih-Cheng Hung, Jin-Shiuh Taur:
A Kernel-Based Feature Selection Method for SVM With RBF Kernel for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(1): 317-326 (2014) - [c61]Chih-Hung Wu, Bor-Chen Kuo, Gwo-Hshiung Tzeng:
Factor Analysis as the Feature Selection Method in an Emotion Norm Database. ACIIDS (2) 2014: 332-341 - [c60]Pei-Jyun Hsieh, Cheng-Hsuan Li, Kai-Ching Chen, Bor-Chen Kuo:
A kernel-based feature extraction method for hyperspectral image classification. IGARSS 2014: 513-516 - [c59]Chih-Sheng Chang, Kai-Ching Chen, Bor-Chen Kuo, Min-Shian Wang, Cheng-Hsuan Li:
Semi-supervised local discriminant analysis with nearest neighbors for hyperspectral image classification. IGARSS 2014: 1709-1712 - [c58]Kai-Ching Chen, Cheng-Hsuan Li, Bor-Chen Kuo, Min-Shian Wang:
Applying automatic kernel parameter selection method to the full bandwidth RBF kernel function for hyperspectral image classification. IGARSS 2014: 3442-3445 - 2013
- [j18]Xiuping Jia, Bor-Chen Kuo, Melba M. Crawford:
Feature Mining for Hyperspectral Image Classification. Proc. IEEE 101(3): 676-697 (2013) - [c57]Cheng-Hsuan Li, Bor-Chen Kuo, Li-Hui Lin, Wei Wu, Dexin Lan:
Apply an automatic parameter selection method to generalized discriminant analysis with RBF kernel for hyperspectral image classification. ICMLC 2013: 253-258 - [c56]Yu-Fang Chiou, Bor-Chen Kuo, Chen-Huei Liao:
Increasing Students' Vocabulary Size Through the Use of Latent Semantic Analysis in a Mobile Learning Environment. ICWL Workshops 2013: 136-144 - [c55]Chih-Cheng Hung, Ellis Casper, Bor-Chen Kuo, Wenping Liu, Xiaoyi Yu, Edward Jung, Ming Yang:
A Quantum-Modeled Fuzzy C-Means clustering algorithm for remotely sensed multi-band image segmentation. IGARSS 2013: 2501-2504 - [c54]Chih-Cheng Hung, Ellis Casper, Bor-Chen Kuo, Wenping Liu, Edward Jung, Ming Yang:
A Quantum-Modeled Artificial Bee Colony clustering algorithm for remotely sensed multi-band image segmentation. IGARSS 2013: 2585-2588 - 2012
- [j17]Shyi-Ming Chen, Abdul Munif, Guey-Shya Chen, Hsiang-Chuan Liu, Bor-Chen Kuo:
Fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights. Expert Syst. Appl. 39(7): 6320-6334 (2012) - [j16]Huey-Min Wu, Bor-Chen Kuo, Jinn-Min Yang:
Evaluating Knowledge Structure-based Adaptive Testing Algorithms and System Development. J. Educ. Technol. Soc. 15(2): 73-88 (2012) - [j15]Shu-Chuan Shih, Bor-Chen Kuo, Yu-Lung Liu:
Adaptively Ubiquitous Learning in Campus Math Path. J. Educ. Technol. Soc. 15(2): 298-308 (2012) - [j14]Cheng-Hsuan Li, Hsin-Hua Ho, Yu-Lung Liu, Chin-Teng Lin, Bor-Chen Kuo, Jin-Shiuh Taur:
An Automatic Method for Selecting the Parameter of the Normalized Kernel Function to Support Vector Machines. J. Inf. Sci. Eng. 28(1): 1-15 (2012) - [j13]Cheng-Hsuan Li, Bor-Chen Kuo, Chin-Teng Lin, Chih-Sheng Huang:
A Spatial-Contextual Support Vector Machine for Remotely Sensed Image Classification. IEEE Trans. Geosci. Remote. Sens. 50(3): 784-799 (2012) - [c53]Bor-Chen Kuo, Wei-Ming Chang, Cheng-Hsuan Li, Chih-Cheng Hung:
Correlation matrix feature extraction based on spectral clustering for hyperspectral image segmentation. WHISPERS 2012: 1-4 - 2011
- [j12]Chih-Cheng Hung, Sameer Kulkarni, Bor-Chen Kuo:
A New Weighted Fuzzy C-Means Clustering Algorithm for Remotely Sensed Image Classification. IEEE J. Sel. Top. Signal Process. 5(3): 543-553 (2011) - [j11]Cheng-Hsuan Li, Bor-Chen Kuo, Chin-Teng Lin:
LDA-Based Clustering Algorithm and Its Application to an Unsupervised Feature Extraction. IEEE Trans. Fuzzy Syst. 19(1): 152-163 (2011) - [c52]Hui-Shan Chu, Bor-Chen Kuo, Cheng-Hsuan Li, Chin-Teng Lin:
A semisupervised feature extraction method based on fuzzy-type linear discriminant analysis. FUZZ-IEEE 2011: 1927-1932 - [c51]I-Ling Chen, Kai-Chih Pai, Jinn-Min Yang, Bor-Chen Kuo:
An automatic method to determine the coefficient of the composite kernel for hyperspectral image classification. IGARSS 2011: 1704-1707 - [c50]Cheng-Hsuan Li, Hui-Shan Chu, Bor-Chen Kuo, Chin-Teng Lin:
Hyperspectral image classification using spectral and spatial information based linear discriminant analysis. IGARSS 2011: 1716-1719 - [c49]Bor-Chen Kuo, I-Ling Chen, Cheng-Hsuan Li, Chih-Cheng Hung:
Combining ensemble technique of support vector machines with the optimal kernel method for hyperspectral image classification. IGARSS 2011: 3903-3906 - [c48]Shyi-Ming Chen, Abdul Munif, Guey-Shya Chen, Bor-Chen Kuo, Hsiang-Chuan Liu:
A new method for fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights. SMC 2011: 2307-2312 - 2010
- [j10]Jinn-Min Yang, Pao-Ta Yu, Bor-Chen Kuo:
A Nonparametric Feature Extraction and Its Application to Nearest Neighbor Classification for Hyperspectral Image Data. IEEE Trans. Geosci. Remote. Sens. 48(3-1): 1279-1293 (2010) - [j9]Jinn-Min Yang, Bor-Chen Kuo, Pao-Ta Yu, Chun-Hsiang Chuang:
A Dynamic Subspace Method for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(7): 2840-2853 (2010) - [j8]Jocelyn Chanussot, Melba M. Crawford, Bor-Chen Kuo:
Foreword to the Special Issue on Hyperspectral Image and Signal Processing. IEEE Trans. Geosci. Remote. Sens. 48(11): 3871-3876 (2010) - [j7]Hsiao-Yun Huang, Bor-Chen Kuo:
Double Nearest Proportion Feature Extraction for Hyperspectral-Image Classification. IEEE Trans. Geosci. Remote. Sens. 48(11): 4034-4046 (2010) - [c47]Bor-Chen Kuo, Chih-Sheng Huang, Chih-Cheng Hung, Yu-Lung Liu, I-Ling Chen:
Spatial information based support vector machine for hyperspectral image classification. IGARSS 2010: 832-835 - [c46]Cheng-Hsuan Li, Chin-Teng Lin, Bor-Chen Kuo, Hui-Shan Chu:
An automatic method for selecting the parameter of the RBF kernel function to support vector machines. IGARSS 2010: 836-839 - [c45]I-Ling Chen, Cheng-Hsuan Li, Bor-Chen Kuo, Hsiao-Yun Huang:
Applying optimal algorithm to data-dependent kernel for hyperspectral image classification. IGARSS 2010: 2808-2811 - [c44]Bor-Chen Kuo, Shih-Syun Lin, Huey-Min Wu, Chun-Hsiang Chuang:
A novel classification processing based on the spatial information and the concept of Adaboost for hyperspectral image classification. IGARSS 2010: 2816-2819 - [c43]Chun-Hsiang Chuang, Pei-Chen Lai, Li-Wei Ko, Bor-Chen Kuo, Chin-Teng Lin:
Driver's cognitive state classification toward brain computer interface via using a generalized and supervised technology. IJCNN 2010: 1-7 - [c42]Yi-Hsin Yu, Pei-Chen Lai, Li-Wei Ko, Chun-Hsiang Chuang, Bor-Chen Kuo, Chin-Teng Lin:
An EEG-based classification system of Passenger's motion sickness level by using feature extraction/selection technologies. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [j6]Bor-Chen Kuo, Cheng-Hsuan Li, Jinn-Min Yang:
Kernel Nonparametric Weighted Feature Extraction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 47(4): 1139-1155 (2009) - [c41]Hsiao-Yun Huang, Bor-Chen Kuo, Jeng-Fu Liu, Nanping Yang:
Localized Shrinkage Covariance Estimation of Hyperspectral Image Classification. IGARSS (4) 2009: 538-541 - [c40]Bor-Chen Kuo, Chih-Sheng Huang, Hsiang-Chuan Liu, Chih-Cheng Hung:
A Fuzzy Fusion Algorithm to Combine Multiple Classifiers. IGARSS (3) 2009: 685-688 - [c39]Bor-Chen Kuo, Chun-Hsiang Chuang, Chih-Sheng Huang, Chih-Cheng Hung:
A nonparametric contextual classification based on Markov random fields. WHISPERS 2009: 1-4 - [c38]Bor-Chen Kuo, Chun-Hsiang Chuang, Cheng-Hsuan Li, Chin-Teng Lin:
Subspace selection based multiple classifier systems for hyperspectral image classification. WHISPERS 2009: 1-4 - [c37]Bor-Chen Kuo, Shih-Syun Lin, Hsin-Hua Ho, Jinn-Min Yang:
Adaptive nonparametric weighed feature extraction for hyperspectral image classification. WHISPERS 2009: 1-4 - 2008
- [j5]Chin-Teng Lin, Ken-Li Lin, Li-Wei Ko, Sheng-Fu Liang, Bor-Chen Kuo, I-Fang Chung:
Nonparametric Single-Trial EEG Feature Extraction and Classification of Driver's Cognitive Responses. EURASIP J. Adv. Signal Process. 2008 (2008) - [c36]Hsin-Hua Ho, Bor-Chen Kuo, Jin-Shiuh Taur, Cheng-Hsuan Li:
A Flexible Metric Nearest-Neighbor Classification based on the Decision Boundaries of SVM for Hyperspectral Image. IGARSS (4) 2008: 212-215 - [c35]Bor-Chen Kuo, Chun-Hsiang Chuang, Chih-Cheng Hung, Szu-Wei Yang:
A Novel Random Subspace Method Using Spectral and Spatial Information for Hyperspectral Image Classification. IGARSS (1) 2008: 217-220 - [c34]Cheng-Hsuan Li, Bor-Chen Kuo, Chin-Teng Lin, Chih-Cheng Hung:
Dimension Reduction for Hyperspectral Image Classification via Support Vector based Feature Extraction. IGARSS (5) 2008: 389-392 - [c33]Chih-Cheng Hung, Wenping Liu, Bor-Chen Kuo:
A New Adaptive Fuzzy Clustering Algorithm for Remotely Sensed Images. IGARSS (2) 2008: 863-866 - [c32]Hsiao-Yun Huang, Bor-Chen Kuo, Yu-Ling Li:
Adaboost-NWFE Classification Scheme for Hyperspectral Image. IGARSS (2) 2008: 942-945 - [c31]Bor-Chen Kuo, Wen-Chun Huang, Hsiang-Chuan Liu, Shiau-Chian Tseng:
A Novel Fuzzy C-Means Method for Hyperspectral Image Classification. IGARSS (2) 2008: 1002-1005 - [c30]Bor-Chen Kuo, Jinn-Min Yang, Tian-Wei Sheu, Szu-Wei Yang:
Kernel-Based KNN and Gaussian Classifiers for Hyperspectral Image Classification. IGARSS (2) 2008: 1006-1008 - [c29]Chun-Hsiang Chuang, Bor-Chen Kuo, Hsuan-Po Wang:
Fuzzy Fusion Method for Combining Small Number of Classifiers in Hyperspectral Image Classification. ISDA (1) 2008: 327-332 - [c28]Bor-Chen Kuo, Tien-Yu Hsieh, Hsuan-Po Wang:
Using MPE with Bayesian Network for Sub-optimization to Entropy-Based Methodology. ISDA (1) 2008: 381-386 - 2007
- [j4]Bor-Chen Kuo, Kuang-Yu Chang:
Feature Extractions for Small Sample Size Classification Problem. IEEE Trans. Geosci. Remote. Sens. 45(3): 756-764 (2007) - [c27]Jinn-Min Yang, Bor-Chen Kuo, Hsiao-Yun Huang, Pao-Ta Yu:
A novel non-parametric weighted feature extraction method for classification of hyperspectral image with limited training samples. IGARSS 2007: 1552-1555 - [c26]Bor-Chen Kuo, Ming-Hung Chi, Jinn-Min Yang, Chin-Wei Yang:
Hierarchical classification systems for hyperspectral image classification. IGARSS 2007: 1745-1748 - [c25]Chih-Cheng Hung, Hendri Purnawan, Bor-Chen Kuo:
Multispectral image classification using rough set theory and the comparison with parallelepiped classifier. IGARSS 2007: 2052-2055 - [c24]Hsiao-Yun Huang, Bor-Chen Kuo, Hsiang-Chuan Liu, Yu-Lung Liu:
SLEX-NWFE feature extraction method for hyperspectral image classification. IGARSS 2007: 3210-3214 - [c23]Bor-Chen Kuo, Tian-Wei Sheu, Cheng-Hsuan Li, Chili-Cheng Hung:
Hyperspectral image classification using KNWFE with conformal transformation for kernel selection. IGARSS 2007: 3789-3793 - [c22]Chin-Teng Lin, Li-Wei Ko, Ken-Li Lin, Sheng-Fu Liang, Bor-Chen Kuo, I-Fang Chung, Lan-Da Van:
Classification of Driver's Cognitive Responses Using Nonparametric Single-trial EEG Analysis. ISCAS 2007: 2019-2023 - 2006
- [c21]Bor-Chen Kuo, Hsin-Hua Ho, Cheng-Hsuan Li, Ya-Yuan Chang:
A Novel Nearest Neighbor Classifier Based on Adaptive Nonparametric Separability. Australian Conference on Artificial Intelligence 2006: 204-213 - [c20]Bor-Chen Kuo, Chih-Cheng Hung, Chen-Wei Chang, Hsuan-Po Wang:
A Modified Nonparametric Weight Feature Extraction Using Spatial and Spectral Information. IGARSS 2006: 172-175 - [c19]Hsiao-Yun Huang, Hsiang-Chuan Liu, Bor-Chen Kuo, Tien-Yu Hsieh:
Hyperspectral Image Classification Using Multi-Class SLEX Model. IGARSS 2006: 553-556 - [c18]Bor-Chen Kuo, Cheng-Hsuan Li, Tian-Wei Sheu, Hsueh-Hua Liao:
Hyperspectral Image Classification Using Kernel-based Nonparametric Weighted Feature Extraction. IGARSS 2006: 557-560 - [c17]Bor-Chen Kuo, Chih-Cheng Hung, Ming-Hung Chi, Tien-Yu Hsieh:
A Comparison of Hierarchical Classification Processes Based on Hyperspectral Image. IGARSS 2006: 948-951 - 2005
- [c16]Minh Pham, Mei Xiang, Chih-Cheng Hung, Bor-Chen Kuo:
A comparative study on the K-views classifier and Markov random fields for image texture classification. ACM Southeast Regional Conference (1) 2005: 96-97 - [c15]Bor-Chen Kuo, Cheng-Hsuan Li:
Kernel Nonparametric Weighted Feature Extraction for Classification. Australian Conference on Artificial Intelligence 2005: 567-576 - [c14]Bor-Chen Kuo, Hsiang-Chuan Liu, Yu-Chen Hsieh, Ruey-Ming Chao:
A random subspace method with automatic dimensionality selection for hyperspectral image classification. IGARSS 2005: 4 - [c13]Mei Xiang, Chih-Cheng Hung, Minh Pham, Bor-Chen Kuo, Tommy L. Coleman:
A parallelepiped multispectral image classifier using genetic algorithms. IGARSS 2005: 4 - [c12]Bor-Chen Kuo, Kuang-Yu Chang, Shu-Chuan Shih, Shih-Hsun Li:
Exploring the effects of scatter matrices, eigenvalue decomposition methods, and regularization techniques in feature extractions for small sample size classification problem. IGARSS 2005: 1249-1252 - [c11]Bor-Chen Kuo, Chun-Hao Chang, Tian-Wei Sheu, Chih-Cheng Hung:
Feature extractions using labeled and unlabeled data. IGARSS 2005: 1257-1260 - [c10]Bor-Chen Kuo, Kuang-Yu Chang, Jinn-Min Yang, Li-Wei Ko:
Estimating mixing parameters of regularized feature extractions by genetic algorithm. IGARSS 2005: 3902-3904 - [c9]Shu-Chuan Shih, Bor-Chen Kuo:
Using Bayesian Networks for Modeling Students' Learning Bugs and Sub-skills. KES (1) 2005: 69-75 - [c8]Li-Wei Ko, Bor-Chen Kuo, Chin-Teng Lin:
An Optimal Nonparametric Weighted System for Hyperspectral Data Classification. KES (1) 2005: 866-872 - [c7]Bor-Chen Kuo, Kuang-Yu Chang:
Regularized Feature Extractions and Support Vector Machines for Hyperspectral Image Data Classification. KES (1) 2005: 873-879 - 2004
- [j3]Bor-Chen Kuo, David A. Landgrebe:
Nonparametric weighted feature extraction for classification. IEEE Trans. Geosci. Remote. Sens. 42(5): 1096-1105 (2004) - [c6]Guey-Shya Chen, Li-Wei Ko, Bor-Chen Kuo, Shu-Chuan Shih:
A two-stage feature extraction for hyperspectral image data classification. IGARSS 2004: 1212-1215 - [c5]Bor-Chen Kuo, Chia-Hao Pai, Tian-Wei Sheu, Guey-Shya Chen:
Hyperspectral data classification using classifier overproduction and fusion strategies. IGARSS 2004: 2937-2940 - 2003
- [c4]Bor-Chen Kuo, Jinn-Min Yang, David A. Landgrebe:
Gaussian mixture classifier with regularized covariance estimator for hyperspectral data classification. IGARSS 2003: 276-278 - [c3]Bor-Chen Kuo, Li-Wei Ko, Chia-Hao Pai, David A. Landgrebe:
Regularized feature extractions for hyperspectral data classification. IGARSS 2003: 1767-1769 - 2002
- [j2]Bor-Chen Kuo, David A. Landgrebe:
A covariance estimator for small sample size classification problems and its application to feature extraction. IEEE Trans. Geosci. Remote. Sens. 40(4): 814-819 (2002) - [j1]Bor-Chen Kuo, David A. Landgrebe:
A robust classification procedure based on mixture classifiers and nonparametric weighted feature extraction. IEEE Trans. Geosci. Remote. Sens. 40(11): 2486-2494 (2002) - [c2]Bor-Chen Kuo, David A. Landgrebe:
Hyperspectral data classification using nonparametric weighted feature extraction. IGARSS 2002: 1428-1430 - [c1]Bor-Chen Kuo, David A. Landgrebe:
Regularized covariance estimators for hyperspectral data classification and its application to feature extraction. IGARSS 2002: 3510-3512
Coauthor Index
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