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2020 – today
- 2023
[j69]Yu-Shun Mao, Shie-Jue Lee
, Chih-Hung Wu, Chun-Liang Hou, Chen-Sen Ouyang, Chih-Feng Liu:
A hybrid deep learning network for forecasting air pollutant concentrations. Appl. Intell. 53(10): 12792-12810 (2023)- 2022
- [j68]Hsiang-Chun Lee, Chun-Yen Chen, Shie-Jue Lee, Ming-Chuan Lee, Ching-Yi Tsai, Su-Te Chen, Yu-Ju Li:
Exploiting exercise electrocardiography to improve early diagnosis of atrial fibrillation with deep learning neural networks. Comput. Biol. Medicine 146: 105584 (2022) - [j67]Mi-Tsuen Hsieh, Shie-Jue Lee, Chih-Hung Wu, Chun-Liang Hou, Chen-Sen Ouyang, Zhan-Pei Lin:
Leveraging attribute latent features for addressing new item cold-start issue. Electron. Commer. Res. Appl. 54: 101177 (2022) - [j66]Yan-Kuen Wu, Yung-Yih Lur, Ching-Feng Wen, Shie-Jue Lee:
Analytical method for solving max-min inverse fuzzy relation. Fuzzy Sets Syst. 440: 21-41 (2022) - 2021
- [j65]Chia-Yang Chang, Shie-Jue Lee, Chih-Hung Wu, Chih-Feng Liu, Ching-Kuan Liu:
Using word semantic concepts for plagiarism detection in text documents. Inf. Retr. J. 24(4-5): 298-321 (2021) - 2020
- [j64]Yu-Chun Lin, Shie-Jue Lee, Chen-Sen Ouyang, Chih-Hung Wu:
Air quality prediction by neuro-fuzzy modeling approach. Appl. Soft Comput. 86 (2020)
2010 – 2019
- 2019
- [c69]Ching-Sheng Tu, Chen-Yu Wu, Ying-Jie You, Shie-Jue Lee, Sharon Chia-Ju Chen, Mei-Chuan Chou, Ching-Kuan Liu:
A LVQ-Based Identification System for Pathological Brain Aging Diseases. CISP-BMEI 2019: 1-6 - [c68]Deng-Yi Wu, Yan-Ting Lin, Shie-Jue Lee, Wei-Chung Tsai, Tien-Chi Huang, Chia-Yen Dai:
Constructing RBF Networks for Classifying ECG Heartbeat Patterns. CISP-BMEI 2019: 1-6 - 2018
- [j63]Chih-Lun Liao, Shie-Jue Lee, Yu-Shu Chiou, Ching-Ran Lee, Chie-Hong Lee:
Power consumption minimization by distributive particle swarm optimization for luminance control and its parallel implementations. Expert Syst. Appl. 96: 479-491 (2018) - [j62]Cheng-Ru Wang, Rong-Fang Xu, Shie-Jue Lee, Chie-Hong Lee:
Network intrusion detection using equality constrained-optimization-based extreme learning machines. Knowl. Based Syst. 147: 68-80 (2018) - [c67]Chia-Yang Chang, Yan-Ting Lin, Shie-Jue Lee, Chih-Chin Lai:
Information Retrieval Based on Word Semantic Clustering. CISP-BMEI 2018: 1-5 - [c66]Zan-Rong He, Yan-Ting Lin, Shie-Jue Lee, Chih-Hung Wu:
A RBF Network Approach for Function Approximation. ICIA 2018: 105-109 - [c65]Ching-Sheng Tu, Deng-Yi Wu, Shie-Jue Lee, Yann-Yean Su:
Supervised Classification by RBF Networks With Self-Constructing Clustering. ICNC-FSKD 2018: 1144-1149 - [c64]Ching-Sheng Tu, Deng-Yi Wu, Shie-Jue Lee, Chih-Hung Wu:
Regression Estimation by Radial Basis Function Networks With Self-Constructing Clustering. ICSAI 2018: 327-332 - 2017
- [j61]Hung-Wen Peng, Shie-Jue Lee, Chie-Hong Lee:
An oblique elliptical basis function network approach for supervised learning applications. Appl. Soft Comput. 60: 552-563 (2017) - [j60]Bing-Kun Xie, Shie-Jue Lee:
An Extended Type-Reduction Method for General Type-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 25(3): 715-724 (2017) - [c63]Pang-Ming Chu, Chia-Yang Chang, Shie-Jue Lee:
Copy detection for digital documents. CISP-BMEI 2017: 1-5 - [c62]Pang-Ming Chu, Shie-Jue Lee:
A novel recommender system for E-commerce. CISP-BMEI 2017: 1-5 - [c61]Jia-Ching Jang Jian, Chih-Hung Wu, Chih-Chin Lai, Shing-Tai Pan, Shie-Jue Lee, Chen-Sen Ouyang:
Cascading global and local features for face recognition using support vector machines and local ternary patterns. ICIA 2017: 404-409 - [c60]Chen-Sen Ouyang, Yu-Yuan Cheng, Tzu-Chin Kao, Shing-Tai Pan, Chih-Hung Wu, Shie-Jue Lee:
Recursive SVD-based fuzzy extreme learning machine. ICIA 2017: 466-471 - [c59]Chia-Yang Chang, Shie-Jue Lee, Chih-Chin Lai:
Weighted word2vec based on the distance of words. ICMLC 2017: 563-568 - 2016
- [j59]Chih-Lun Liao, Shie-Jue Lee:
A clustering based approach to improving the efficiency of collaborative filtering recommendation. Electron. Commer. Res. Appl. 18: 1-9 (2016) - [c58]Chie-Hong Lee, Yann-Yean Su, Pang-Ming Chu, Shie-Jue Lee:
Using personal preference in calculating rating scores for recommendations. ICIA 2016: 1149-1153 - 2015
- [j58]Hung-Wen Peng, Shen-Fu Wu, Chia-Ching Wei, Shie-Jue Lee:
Time series forecasting with a neuro-fuzzy modeling scheme. Appl. Soft Comput. 32: 481-493 (2015) - [j57]Shin-Fu Wu, Chia-Yung Chang, Shie-Jue Lee:
Time Series Forecasting with Missing Values. EAI Endorsed Trans. Cogn. Commun. 1(4): e5 (2015) - [j56]Shin-Fu Wu, Shie-Jue Lee:
Employing local modeling in machine learning based methods for time-series prediction. Expert Syst. Appl. 42(1): 341-354 (2015) - [j55]Rong-Fang Xu, Shie-Jue Lee:
Dimensionality reduction by feature clustering for regression problems. Inf. Sci. 299: 42-57 (2015) - [j54]Thao-Tsen Chen, Shie-Jue Lee:
A weighted LS-SVM based learning system for time series forecasting. Inf. Sci. 299: 99-116 (2015) - [c57]Chia-Yang Chang, Cheng-Ru Wang, Shie-Jue Lee:
Novel imputation for time series data. ICMLC 2015: 916-920 - [p1]Bing-Kun Xie, Shie-Jue Lee:
Type-Reduction for Concave Type-2 Fuzzy Sets. New Trends in Intelligent Information and Database Systems 2015: 81-89 - 2014
- [j53]Shie-Jue Lee, Jung-Yi Jiang:
Multilabel Text Categorization Based on Fuzzy Relevance Clustering. IEEE Trans. Fuzzy Syst. 22(6): 1457-1471 (2014) - [j52]Yung-Shen Lin, Jung-Yi Jiang, Shie-Jue Lee:
A Similarity Measure for Text Classification and Clustering. IEEE Trans. Knowl. Data Eng. 26(7): 1575-1590 (2014) - [j51]Jin-Ping Chen, Shie-Jue Lee:
Modified Multivalued Neuron With Periodic Tolerant Activation Function. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1645-1658 (2014) - [c56]Bing-Kun Xie, Shie-Jue Lee:
A modified scheme for all-pairs evolving fuzzy classifiers. ICMLC 2014: 573-578 - [c55]Zhao-Yu Wang, Shie-Jue Lee:
A neuro-fuzzy based method for TAIEX forecasting. ICMLC 2014: 579-584 - [c54]Cheng-Ru Wang, Shie-Jue Lee:
Temporal prediction using self-organizing multilayer perceptron. ICMLC 2014: 585-591 - 2013
- [j50]Yung-Shen Lin, Ting-Yi Liao, Shie-Jue Lee:
Detecting near-duplicate documents using sentence-level features and supervised learning. Expert Syst. Appl. 40(5): 1467-1476 (2013) - [j49]Chi-Yuan Yeh, Wen-Pin Su, Shie-Jue Lee:
An efficient multiple-kernel learning for pattern classification. Expert Syst. Appl. 40(9): 3491-3499 (2013) - [j48]Chi-Yuan Yeh, Yu-Ting Peng, Shie-Jue Lee:
An Iterative Divide-and-Merge-Based Approach for Solving Large-Scale Least Squares Problems. IEEE Trans. Parallel Distributed Syst. 24(3): 428-438 (2013) - [c53]Rong-Fang Xu, Hung-Wen Peng, Shie-Jue Lee:
Community detection with punished similarity. ICMLC 2013: 1064-1069 - [c52]Chun-Hua Hung, Shie-Jue Lee:
Adaptive Distance-Based Voting Classification. ICMLC 2013: 1671-1677 - [c51]Jin-Ping Chen, Shin-Fu Wu, Shie-Jue Lee:
Modified learning for discrete multi-valued neuron. IJCNN 2013: 1-6 - [c50]Shin-Fu Wu, Shie-Jue Lee:
Multi-valued neuron with new learning schemes. IJCNN 2013: 1-7 - [c49]Cheng-hsien Lee, Chun-Hua Hung, Shie-Jue Lee:
A Comparative Study on Clustering Algorithms. SNPD 2013: 557-562 - [c48]Chia-Ching Wei, Thao-Tsen Chen, Shie-Jue Lee:
k-NN Based Neuro-fuzzy System for Time Series Prediction. SNPD 2013: 569-574 - 2012
- [j47]Chih-Feng Liu, Chi-Yuan Yeh, Shie-Jue Lee:
Application of type-2 neuro-fuzzy modeling in stock price prediction. Appl. Soft Comput. 12(4): 1348-1358 (2012) - [j46]Jung-Yi Jiang, Shian-Chi Tsai, Shie-Jue Lee:
FSKNN: Multi-label text categorization based on fuzzy similarity and k nearest neighbors. Expert Syst. Appl. 39(3): 2813-2821 (2012) - [j45]Hsin-Jung Wu, Yao-Lung Su, Shie-Jue Lee:
A Fast Method for Computing the Centroid of a Type-2 Fuzzy Set. IEEE Trans. Syst. Man Cybern. Part B 42(3): 764-777 (2012) - [c47]Chih-Feng Liu, Thao-Tsen Chen, Shie-Jue Lee:
A comparison of approaches for dealing with missing values. ICMLC 2012: 1576-1582 - [c46]Jin-Ping Chen, Shie-Jue Lee:
Multi-values neuron with periodic tolerant activation function. ICMLC 2012: 1583-1588 - [c45]Chih-Feng Liu, Chia-Ching Wei, Shie-Jue Lee:
Neuro-fuzzy based multi-step-ahead prediction. SCIS&ISIS 2012: 365-370 - 2011
- [j44]Chi-Yuan Yeh, Wen-Pin Su, Shie-Jue Lee:
Employing multiple-kernel support vector machines for counterfeit banknote recognition. Appl. Soft Comput. 11(1): 1439-1447 (2011) - [j43]Chi-Yuan Yeh, Chi-Wei Huang, Shie-Jue Lee:
A multiple-kernel support vector regression approach for stock market price forecasting. Expert Syst. Appl. 38(3): 2177-2186 (2011) - [j42]Chi-Yuan Yeh, Wen-Hau Roger Jeng, Shie-Jue Lee:
An Enhanced Type-Reduction Algorithm for Type-2 Fuzzy Sets. IEEE Trans. Fuzzy Syst. 19(2): 227-240 (2011) - [j41]Jung-Yi Jiang, Ren-Jia Liou, Shie-Jue Lee:
A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification. IEEE Trans. Knowl. Data Eng. 23(3): 335-349 (2011) - [j40]Chi-Yuan Yeh, Wen-Hau Roger Jeng, Shie-Jue Lee:
Data-Based System Modeling Using a Type-2 Fuzzy Neural Network With a Hybrid Learning Algorithm. IEEE Trans. Neural Networks 22(12): 2296-2309 (2011) - [c44]Jung-Yi Jiang, Yao-Lung Su, Shie-Jue Lee:
MIKM: A mutual information-based K-medoids approach for feature selection. ICMLC 2011: 102-107 - [c43]Jung-Yi Jiang, Wen-Hao Cheng, Yu-Shu Chiou, Shie-Jue Lee:
A similarity measure for text processing. ICMLC 2011: 1460-1465 - 2010
- [c42]Jiing-Yi Jiang, Lian-Wang Lee, Shie-Jue Lee:
A distributional similarity measure for query-dependent ranking in web mining. ICMLC 2010: 2875-2880 - [c41]Min-Zong Rau, Chi-Yuan Yeh, Shie-Jue Lee:
Fuzzy clustering with principal component analysis. ICMLC 2010: 2938-2943
2000 – 2009
- 2009
- [j39]Chi-Yuan Yeh, Zhi-Ying Lee, Shie-Jue Lee:
Boosting One-Class Support Vector Machines for Multi-Class Classification. Appl. Artif. Intell. 23(4): 297-315 (2009) - [c40]Wen-Hau Roger Jeng, Chi-Yuan Yeh, Shie-Jue Lee:
General type-2 fuzzy neural network with hybrid learning for function approximation. FUZZ-IEEE 2009: 1534-1539 - 2008
- [j38]Wan-Jui Lee, Jun-Shih Chung, Chen-Sen Ouyang, Shie-Jue Lee:
Vector Quantization of Images Using a Fuzzy Clustering Method. Cybern. Syst. 39(1): 45-60 (2008) - [j37]Wan-Jui Lee, Jung-Yi Jiang, Shie-Jue Lee:
Mining fuzzy periodic association rules. Data Knowl. Eng. 65(3): 442-462 (2008) - [c39]Shih-Ta Kuan, Shie-Jue Lee:
Exploring Friendships in Blogosphere by Finding 1.5-Cliques. GrC 2008: 356-360 - [c38]Fu-Ping Yang, Shie-Jue Lee:
Applying Soft Computing for Forecasting Chaotic Time Series. GrC 2008: 718-723 - 2007
- [j36]Hsin-Tai Yang, Chen-Sen Ouyang, Li-Ming Huang, Shie-Jue Lee:
Segmentation of Multiple Human Objects in Video Sequences. Appl. Artif. Intell. 21(9): 831-859 (2007) - [c37]Shan-cheng Pei, Shie-Jue Lee:
Constructing Fuzzy Controllers Based on Reinforcement Learning. IMSCCS 2007: 437-440 - [c36]Jung-Yi Jiang, Kai-Tai Yin, Shie-Jue Lee:
A Confidence-Based Hierarchical Feature Clustering Algorithm for Text Classification. IPC 2007: 161-164 - [c35]Jung-Yi Jiang, Jing-Wen Chen, Shie-Jue Lee:
A Clustering Scheme for Large High-Dimensional Document Datasets. ISICA 2007: 511-519 - [c34]Chi-Yuan Yeh, Shie-Jue Lee:
A Kernel-Based Two-Stage One-Class Support Vector Machines Algorithm. ISNN (3) 2007: 515-524 - 2006
- [c33]Hsin-Wei Chiu, Chen-Sen Ouyang, Shie-Jue Lee:
Improved C-Fuzzy Decision Trees. FUZZ-IEEE 2006: 1763-1768 - [c32]Jiun-Hau Wang, Wan-Jui Lee, Shie-Jue Lee:
A Kernel-Based Fuzzy Clustering Algorithm. ICICIC (1) 2006: 550-553 - [c31]Chih-Cheng Yang, Wan-Jui Lee, Shie-Jue Lee:
Learning of Kernel Functions in Support Vector Machines. IJCNN 2006: 1150-1155 - [c30]Yi-Chao Chan, Wan-Jui Lee, Shie-Jue Lee:
Estimating Parameters of Kernel Functions in Support Vector Learning. SMC 2006: 192-197 - 2005
- [j35]Chen-Sen Ouyang, Wan-Jui Lee, Shie-Jue Lee:
A TSK-type neurofuzzy network approach to system modeling problems. IEEE Trans. Syst. Man Cybern. Part B 35(4): 751-767 (2005) - [c29]Jung-Yi Jiang, Wan-Jui Lee, Shie-Jue Lee:
Mining Calendar-Based Asynchronous Periodical Association Rules with Fuzzy Calendar Constraints. FUZZ-IEEE 2005: 773-778 - 2004
- [j34]Hsien-Leing Tsai, Shie-Jue Lee:
Entropy-based generation of supervised neural networks for classification of structured patterns. IEEE Trans. Neural Networks 15(2): 283-297 (2004) - [j33]Wan-Jui Lee, Shie-Jue Lee:
Discovery of fuzzy temporal association rules. IEEE Trans. Syst. Man Cybern. Part B 34(6): 2330-2342 (2004) - [c28]Wan-Jui Lee, Shie-Jue Lee:
An Incremental Algorithm for Discovering Fuzzy Temporal Web Usage Patterns. International Conference on Internet Computing 2004: 90-96 - [c27]Wan-Jui Lee, Jung-Yi Jiang, Shie-Jue Lee:
An efficient algorithm to discover calendar-based temporal association rules. SMC (4) 2004: 3122-3127 - [c26]Wan-Jui Lee, Shie-Jue Lee:
Fuzzy Calendar Algebra and Its Applications to Data Mining. TIME 2004: 71-78 - 2003
- [j32]Ming-Chi Lee, Chun-Liang Hou, Shie-Jue Lee:
A Simplified Scheduling Algorithm for Cells in ATM Networks for Multimedia Communication. Int. J. Distance Educ. Technol. 1(2): 37-58 (2003) - [j31]Shie-Jue Lee, Chen-Sen Ouyang:
A neuro-fuzzy system modeling with self-constructing rule generationand hybrid SVD-based learning. IEEE Trans. Fuzzy Syst. 11(3): 341-353 (2003) - [j30]Shie-Jue Lee, Chen-Sen Ouyang, Shih-Huai Du:
A neuro-fuzzy approach for segmentation of human objects in image sequences. IEEE Trans. Syst. Man Cybern. Part B 33(3): 420-437 (2003) - [j29]Sung-Hsien Sun, Shie-Jue Lee:
A JPEG Chip for Image Compression and Decompression. J. VLSI Signal Process. 35(1): 43-60 (2003) - [c25]An-Tai Lin, Shie-Jue Lee:
A Modified Distributed Coordination Function for Real-Time Traffic in IEEE 802.11 Wireless LAN. AINA 2003: 794-797 - [c24]Wan-Jui Lee, Shie-Jue Lee:
An Efficient Mining Method for Incremental Updation in Large Databases. IDEAL 2003: 630-637 - [c23]Wan-Jui Lee, Shie-Jue Lee:
A general mining method for incremental updation in large databases. SMC 2003: 1423-1428 - [c22]Li-Ming Huang, Chen-Sen Ouyang, Shie-Jue Lee:
A neuro-fuzzy approach for multiple human objects segmentation. SMC 2003: 2815-2820 - [c21]Chen-Sen Ouyang, Shie-Jue Lee:
An improved TSK-type recurrent fuzzy network for dynamic system identification. SMC 2003: 3342-3347 - 2002
- [j28]Chih-Hung Wu, Shie-Jue Lee:
KJ3--a tool assisting formal validation of knowledge-based systems. Int. J. Hum. Comput. Stud. 56(5): 495-524 (2002) - [j27]Shie-Jue Lee, Chun-Liang Hou:
An ART-based construction of RBF networks. IEEE Trans. Neural Networks 13(6): 1308-1321 (2002) - [c20]Hsin-Tai Yang, Shie-Jue Lee:
Mining Fuzzy Association Rules from Sequence databases with Quantitative data and Inter-Transaction Intervals. FSKD 2002: 606-610 - [c19]Wan-Jui Lee, Chen-Sen Ouyang, Shie-Jue Lee:
Constructing neuro-fuzzy systems with TSK fuzzy rules and hybrid SVD-based learning. FUZZ-IEEE 2002: 1174-1179 - 2001
- [j26]Chih-Hung Wu, Shie-Jue Lee:
Parallelization of a Hyper-Linking-Based Theorem Prover. J. Autom. Reason. 26(1): 67-106 (2001) - [c18]Hsiang-Ren Shih, Chun-Liang Hou, I-Chieh Lin, Shie-Jue Lee:
A Dynamic Regulation with Scheduler Feedback Information for Multimedia Networks. IEEE Pacific Rim Conference on Multimedia 2001: 700-707 - 2000
- [j25]Chih-Hung Wu, Cheng-Jer Yu, Shie-Jue Lee:
An Extended System for Conceptual Clustering. Appl. Artif. Intell. 14(10): 943-965 (2000) - [j24]Shie-Jue Lee, Chun-Liang Hou:
A neural-fuzzy system for congestion control in ATM networks. IEEE Trans. Syst. Man Cybern. Part B 30(1): 2-9 (2000) - [j23]Chih-Hung Wu, Shie-Jue Lee:
A token-flow paradigm for verification of rule-based expert systems. IEEE Trans. Syst. Man Cybern. Part B 30(4): 616-624 (2000) - [c17]Chen-Sen Ouyang, Shie-Jue Lee:
A hybrid algorithm for structure identification of neuro-fuzzy modeling. SMC 2000: 3611-3616 - [c16]Chun-Liang Hou, Shie-Jue Lee:
A self-constructed radial basis function neural network and its applications. SMC 2000: 3623-3628
1990 – 1999
- 1999
- [j22]Benjamin Han, Shie-Jue Lee, Hsin-Tai Yang:
A Model-Based Diagnosis System for Identifying Faulty Components in Digital Circuits. Appl. Intell. 10(1): 37-52 (1999) - [j21]Benjamin Han, Shie-Jue Lee:
A Genetic Algorithm Approach to Measurement Prescription in Fault Diagnosis. Inf. Sci. 120(1-4): 223-237 (1999) - [j20]Benjamin Han, Shie-Jue Lee, Hsin-Tai Yang:
Comments on the Theory of Measurement in Diagnosis from First Principles. Inf. Sci. 121(3-4): 349-365 (1999) - [j19]Benjamin Han, Shie-Jue Lee:
Deriving minimal conflict sets by CS-trees with mark set in diagnosis from first principles. IEEE Trans. Syst. Man Cybern. Part B 29(2): 281-286 (1999) - [j18]Shie-Jue Lee, Mu-Tune Jone, Hsien-Leing Tsai:
Constructing neural networks for multiclass-discretization based on information entropy. IEEE Trans. Syst. Man Cybern. Part B 29(3): 445-453 (1999) - [c15]Wen-Gong Chen, Chen-Sen Ouyang, Shie-Jue Lee:
Using Competitive Learning in Neural Networks for Cluster-Detection-and-Labeling. Australian Joint Conference on Artificial Intelligence 1999: 492-493 - [c14]Chen-Sen Ouyang, Shie-Jue Lee:
An improved learning algorithm for rule refinement in neuro-fuzzy modeling. KES 1999: 238-241 - 1998
- [j17]Shie-Jue Lee, Hsien-Leing Tsai:
Pattern fusion in feature recognition neural networks for handwritten character Recognition. IEEE Trans. Syst. Man Cybern. Part B 28(4): 612-617 (1998) - [c13]Jian-Jou Lai, Yu-Wen Lai, Shie-Jue Lee:
A medium access control protocol for wireless networks. ICC 1998: 146-150 - [c12]Chih-Hung Wu, Shie-Jue Lee:
KJ3-a tool for proving formal specifications of rule-based expert systems. ICTAI 1998: 310-317 - [c11]Chen-Sen Ouyang, Shie-Jue Lee:
Knowledge acquisition from input-output data by fuzzy-neural systems. SMC 1998: 1928-1933 - 1997
- [j16]Shie-Jue Lee, Yu-Wen Lai, Jian-Jou Lai, Chi-Jong Chang:
A Slot Reuse Scheme for CRMA Networks. Comput. Networks ISDN Syst. 29(16): 1933-1951 (1997) - [j15]Chih-Hung Wu, Shie-Jue Lee:
Knowledge Verification with an Enhanced High-Level Petri-Net Model. IEEE Expert 12(5): 73-80 (1997) - [j14]Shie-Jue Lee, Wei-Jer Lin:
Formal Verification and Diagnosis of CombinationalCircuit Designs with Propositional Logic. Fundam. Informaticae 31(1): 79-105 (1997) - [j13]Chi-Jong Chang, Amy Lai, Shie-Jue Lee, Wei Kuang Lai:
Early Detection of Cycles with Pseudo-End-Station in Fasnet Networks. Inf. Sci. 101(1-2): 29-45 (1997) - [j12]Chih-Hung Wu, Shie-Jue Lee:
Enhanced high-level Petri nets with multiple colors for knowledge verification/validation of rule-based expert systems. IEEE Trans. Syst. Man Cybern. Part B 27(5): 760-773 (1997) - 1996
- [j11]Shie-Jue Lee, Mu-Tune Jone:
An extended procedure of constructing neural networks for supervised dichotomy. IEEE Trans. Syst. Man Cybern. Part B 26(4): 660-665 (1996) - [c10]Hsin-Tai Yang, Shie-Jue Lee:
Optimal decomposition of morphological structuring elements. ICIP (3) 1996: 1-4 - [c9]Chih-Hung Wu, Shie-Jue Lee:
On parallelism of hyper-linking theorem proving: a preliminary report. ICPADS 1996: 494-499 - 1995
- [j10]Shie-Jue Lee:
Formal Reasoning in Intelligent Database Systems. Appl. Intell. 5(4): 297-317 (1995) - [j9]Shie-Jue Lee, Mu-Tune Jone:
A Symbolic Logic Approach of Deriving Initial Neural Network Configurations for Supervised Classification. Comput. Artif. Intell. 14(4): 317-337 (1995) - [j8]