Constructing neuro-fuzzy systems with TSK fuzzy rules and hybrid SVD-based learning. - Wan-Jui Lee; Chen-Sen Ouyang; Shie-Jue Lee (FUZZ-IEEE, 2002)

An Efficient Mining Method for Incremental Updation in Large Databases. - Wan-Jui Lee; Shie-Jue Lee (IDEAL, 2003)

A general mining method for incremental updation in large databases. - Wan-Jui Lee; Shie-Jue Lee (SMC, 2003)

An Incremental Algorithm for Discovering Fuzzy Temporal Web Usage Patterns. - Wan-Jui Lee; Shie-Jue Lee (International Conference on Internet Computing, 2004)

An efficient algorithm to discover calendar-based temporal association rules. - Wan-Jui Lee; Jung-Yi Jiang; Shie-Jue Lee (SMC (4), 2004)

Fuzzy Calendar Algebra and Its Applications to Data Mining. - Wan-Jui Lee; Shie-Jue Lee (TIME, 2004)

Discovery of fuzzy temporal association rules. - Wan-Jui Lee; Shie-Jue Lee (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Mining Calendar-Based Asynchronous Periodical Association Rules with Fuzzy Calendar Constraints. - Jung-Yi Jiang; Wan-Jui Lee; Shie-Jue Lee (FUZZ-IEEE, 2005)

A TSK-type neurofuzzy network approach to system modeling problems. - Chen-Sen Ouyang; Wan-Jui Lee; Shie-Jue Lee (IEEE Trans. Syst. Man Cybern. Part B, 2005)

A Kernel-Based Fuzzy Clustering Algorithm. - Jiun-Hau Wang; Wan-Jui Lee; Shie-Jue Lee (ICICIC (1), 2006)

Learning of Kernel Functions in Support Vector Machines. - Chih-Cheng Yang; Wan-Jui Lee; Shie-Jue Lee (IJCNN, 2006)

Estimating Parameters of Kernel Functions in Support Vector Learning. - Yi-Chao Chan; Wan-Jui Lee; Shie-Jue Lee (SMC, 2006)

Kernel Combination Versus Classifier Combination. - Wan-Jui Lee; Sergey Verzakov; Robert P. W. Duin (MCS, 2007)

Finding Friend Groups in Blogosphere. - Shih Ta Kuan; Bang Ye Wu; Wan-Jui Lee (AINA Workshops, 2008)

On Euclidean Corrections for Non-Euclidean Dissimilarities. - Robert P. W. Duin; Elzbieta Pekalska; Artsiom Harol; Wan-Jui Lee; Horst Bunke (SSPR/SPR, 2008)

An Inexact Graph Comparison Approach in Joint Eigenspace. - Wan-Jui Lee; Robert P. W. Duin (SSPR/SPR, 2008)

Vector Quantization of Images Using a Fuzzy Clustering Method. - Wan-Jui Lee; Jun-Shih Chung; Chen-Sen Ouyang; Shie-Jue Lee (Cybern. Syst., 2008)

Mining fuzzy periodic association rules. - Wan-Jui Lee; Jung-Yi Jiang; Shie-Jue Lee (Data Knowl. Eng., 2008)

A Labelled Graph Based Multiple Classifier System. - Wan-Jui Lee; Robert P. W. Duin (MCS, 2009)

An experimental study on combining Euclidean distances. - Wan-Jui Lee; Robert P. W. Duin; Alessandro Ibba; Marco Loog (CIP, 2010)

A Study on Combining Sets of Differently Measured Dissimilarities. - Alessandro Ibba; Robert P. W. Duin; Wan-Jui Lee (ICPR, 2010)

Selecting Structural Base Classifiers for Graph-Based Multiple Classifier Systems. - Wan-Jui Lee; Robert P. W. Duin; Horst Bunke (MCS, 2010)

Dissimilarity-Based Multiple Instance Learning. - Lauge Sørensen; Marco Loog; David M. J. Tax; Wan-Jui Lee; Marleen de Bruijne; Robert P. W. Duin (SSPR/SPR, 2010)

Generalized Augmentation of Multiple Kernels. - Wan-Jui Lee; Robert P. W. Duin; Marco Loog (MCS, 2011)

Bag Dissimilarities for Multiple Instance Learning. - David M. J. Tax; Marco Loog; Robert P. W. Duin; Veronika Cheplygina; Wan-Jui Lee (SIMBAD, 2011)

Bridging Structure and Feature Representations in Graph Matching. - Wan-Jui Lee; Veronika Cheplygina; David M. J. Tax; Marco Loog; Robert P. W. Duin (Int. J. Pattern Recognit. Artif. Intell., 2012)

Contextual Air Leakage Detection in Train Braking Pipes. - Wan-Jui Lee (IEA/AIE (2), 2017)

Shunting Trains with Deep Reinforcement Learning. - Evertjan Peer; Vlado Menkovski; Yingqian Zhang 001; Wan-Jui Lee (SMC, 2018)

Boosting Local Search Using Machine Learning: A Study on Improving Local Search by Graph Classification in Determining Capacity of Shunting Yards. - Arno van de Ven; Yingqian Zhang 001; Wan-Jui Lee (ICAART (Revised Selected Papers), 2019)

Determining Capacity of Shunting Yards by Combining Graph Classification with Local Search. - Arno van de Ven; Yingqian Zhang 001; Wan-Jui Lee; Rik Eshuis; Anna Wilbik (ICAART (2), 2019)

Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. - Paulo Roberto de Oliveira da Costa; Jason Rhuggenaath; Yingqian Zhang 001; Alp Akcay; Wan-Jui Lee; Uzay Kaymak (ECML/PKDD (3), 2019)

Deep Reinforcement Learning for Solving Train Unit Shunting Problem with Interval Timing. - Wan-Jui Lee; Helia Jamshidi; Diederik M. Roijers (EDCC Workshops, 2020)

Potential, challenges and future directions for deep learning in prognostics and health management applications. - Olga Fink; Qin Wang 013; Markus Svensén; Pierre Dersin; Wan-Jui Lee; Melanie Ducoffe (Eng. Appl. Artif. Intell., 2020)