Ming-Yen Lin - RankMe

46 papers A 1B 4C 3Misc 3Journal 16Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	RunPacer: A Smartwatch-Based Vibrotactile Feedback System for Symmetric Co-Running by Visually Impaired Individuals and Guides. ASSETS YiChen Yu, Huan-Song Xu, Ming-Yen Lin
2025	Misc	`conf`	Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework. IRI Peng-Yi Wu, Pei-Cing Huang, Ting-Yu Chen, Chantung Ku, Ming-Yen Lin, Yihuang Kang
2025	J	`jnl`	Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework. CoRR Peng-Yi Wu, Pei-Cing Huang, Ting-Yu Chen, Chantung Ku, Ming-Yen Lin, Yihuang Kang
2024	J	`jnl`	Latent space representation of electronic health records for clustering dialysis-associated kidney failure subtypes. Comput. Biol. Medicine Djeane Debora Onthoni, Ming-Yen Lin, Kuei-Yuan Lan, Tsung-Hsien Huang, Hong-Ming Lin, Hung-Yi Chiou, Chih-Cheng Hsu, Ren-Hua Chung
2024	J	`jnl`	Optimizing Session-Aware Recommenders: A Deep Dive into GRU-Based Latent Interaction Integration. Future Internet Ming-Yen Lin, Ping-Chun Wu, Sue-Chen Hsueh
2024	—	`conf`	Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models. MIPR Chih-Yuan Li, Jun-Ting Wu, Chan Hsu, Ming-Yen Lin, Yihuang Kang
2024	J	`jnl`	Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models. CoRR Chih-Yuan Li, Jun-Ting Wu, Chan Hsu, Ming-Yen Lin, Yihuang Kang
2023	J	`jnl`	A single framework of precision surveillance of diabetes disease prognosis for better care with collaboration. J. Integr. Des. Process. Sci. Hsing Paul Luh, Ming-Yen Lin, Ping-Hsun Wu
2023	—	`conf`	Context Enhanced Recurrent Neural Network for Session-Aware Recommendation. TAAI (2) Sue-Chen Hsueh, Min-Shan Shih, Ming-Yen Lin
2022	J	`jnl`	Interactive Mining of Probabilistic Frequent Patterns in Uncertain Databases. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Ming-Yen Lin, Cheng-Tai Fu, Sue-Chen Hsueh
2022	—	`conf`	Quality Analysis and Colour Decoding of Printed Matters using a Portable 2D Chroma Meter. PHOTOPTICS Cheng-Ru Li, Chih-Chung Yang, Chun-Han Chou, Ming-Yen Lin, Yu-Hsuan Lin
2021	J	`jnl`	Data Analysis of the Risks of Type 2 Diabetes Mellitus Complications before Death Using a Data-Driven Modelling Approach: Methodologies and Challenges in Prolonged Diseases. Inf. Ming-Yen Lin, Jia-Sin Liu, Tzu-Yang Huang, Ping-Hsun Wu, Yi-Wen Chiu, Yihuang Kang, Chih-Cheng Hsu, Shang-Jyh Hwang, Hsing Paul Luh
2021	Misc	`conf`	Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning. IRI Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-Yi Su, Sheng-Tai Huang
2021	J	`jnl`	Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning. CoRR Yihuang Kang, Yi-Wen Chiu, Ming-Yen Lin, Fang-Yi Su, Sheng-Tai Huang
2021	—	`conf`	Using Spark for Text Mining on Large Scale Liver Cancer Literature. BDET Ming-Yen Lin, Yu-Ju Lin, Sue-Chen Hsueh
2020	—	`conf`	Quantifying the color changes in bruised skin using a color-calibrated imaging system. MeMeA Cheng-Ru Li, Hsin-Yi Tsai, Chih-Chung Yang, Ming-Yen Lin, Kuo-Cheng Huang, Yu-Hsuan Lin
2018	J	`jnl`	Mining and Maintenance of Sequential Patterns using a Backward Generation Framework. J. Inf. Sci. Eng. Ming-Yen Lin, Sue-Chen Hsueh, Chih-Chen Chan
2017	C	`conf`	Discovering Group Skylines with Constraints by Early Candidate Pruning. ADMA Ming-Yen Lin, Yueh-Lin Lin, Sue-Chen Hsueh
2016	—	`conf`	Prediction of accrual expenses in balance sheet using decision trees and linear regression. TAAI Chih-Yu Wang, Ming-Yen Lin
2015	—	`conf`	Improving MapReduce-based Entity-resolution by Data-load Balancing. ASE BD&SI Ming-Yen Lin, Tien-Jing Wang, Sue-Chen Hsueh
2014	—	`conf`	Design of a DSP-based biaxial solar tracking system. SCIS&ISIS Chin-Wang Tao, Ming-Yen Lin, Chen-Chia Chuang, Tsu-Tian Lee, Chia-Wen Chang
2013	—	`conf`	Improving classification accuracy of associative classifiers by using k-conflict-rule preservation. ICUIMC Ming-Yen Lin, Tsung-Che Li, Sue-Chen Hsueh
2012	—	`conf`	Apriori-based frequent itemset mining algorithms on MapReduce. ICUIMC Ming-Yen Lin, Pei-Yu Lee, Sue-Chen Hsueh
2012	J	`jnl`	High utility pattern mining using the maximal itemset property and lexicographic tree structures. Inf. Sci. Ming-Yen Lin, Tzer-Fu Tu, Sue-Chen Hsueh
2012	—	`conf`	Incremental update on probabilistic frequent itemsets in uncertain databases. ICUIMC Ming-Yen Lin, Cheng-Tai Fu, Sue-Chen Hsueh
2010	—	`conf`	Interactive stream mining of maximal frequent itemsets allowing flexible time intervals and support thresholds. ICUIMC Ming-Yen Lin, Sue-Chen Hsueh, Chien-Hsiang Tung
2009	—	`conf`	Incremental Discovery of Sequential Patterns Using a Backward Mining Approach. CSE (1) Ming-Yen Lin, Sue-Chen Hsueh, Chih-Chen Chan
2009	—	`conf`	Mining Sequential Patterns for Image Classification in Ubiquitous Multimedia Systems. IIH-MSP Ming-Yen Lin, Sue-Chen Hsueh, Ming-Hong Chen, Hong-Yang Hsu
2009	—	`ch.`	Time-Constrained Sequential Pattern Mining. Encyclopedia of Data Warehousing and Mining Ming-Yen Lin
2008	J	`jnl`	Fast discovery of sequential patterns in large databases using effective time-indexing. Inf. Sci. Ming-Yen Lin, Sue-Chen Hsueh, Chia-Wen Chang
2008	Misc	`conf`	Interactive Mining of Frequent Itemsets over Arbitrary Time Intervals in a Data Stream. ADC Ming-Yen Lin, Sue-Chen Hsueh, Sheng-Kun Hwang
2008	—	`conf`	Interactive Mining of Frequent Patterns in a Data Stream of Time-Fading Models. ISDA (1) Ming-Yen Lin, Sue-Chen Hsueh, Chung-Yi Wang
2008	J	`jnl`	Mining Closed Sequential Patterns with Time Constraints. J. Inf. Sci. Eng. Ming-Yen Lin, Sue-Chen Hsueh, Chia-Wen Chang
2008	C	`conf`	Mining Negative Sequential Patterns for E-commerce Recommendations. APSCC Sue-Chen Hsueh, Ming-Yen Lin, Chien-Liang Chen
2007	—	`conf`	Mining Generalized Association Rules for Service Recommendations for Digital Home Applications. IIH-MSP Sue-Chen Hsueh, Ming-Yen Lin, Kun-Lin Lu
2006	C	`conf`	Fast Discovery of Time-Constrained Sequential Patterns Using Time-Indexes. ADMA Ming-Yen Lin, Sue-Chen Hsueh, Chia-Wen Chang
2006	B	`conf`	Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis Vectors. PAKDD Ming-Yen Lin, Sue-Chen Hsueh, Sheng-Kun Hwang
2005	J	`jnl`	Efficient mining of sequential patterns with time constraints by delimited pattern growth. Knowl. Inf. Syst. Ming-Yen Lin, Suh-Yin Lee
2005	J	`jnl`	Fast Discovery of Sequential Patterns through Memory Indexing and Database Partitioning. J. Inf. Sci. Eng. Ming-Yen Lin, Suh-Yin Lee
2004	J	`jnl`	Incremental update on sequential patterns in large databases by implicit merging and efficient counting. Inf. Syst. Ming-Yen Lin, Suh-Yin Lee
2004	J	`jnl`	Interactive sequence discovery by incremental mining. Inf. Sci. Ming-Yen Lin, Suh-Yin Lee
2003	—	`conf`	Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery. HICSS Ming-Yen Lin, Suh-Yin Lee
2002	B	`conf`	DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology. PAKDD Ming-Yen Lin, Suh-Yin Lee, Sheng-Shun Wang
2002	B	`conf`	Fast Discovery of Sequential Patterns by Memory Indexing. DaWaK Ming-Yen Lin, Suh-Yin Lee
2000	—	`conf`	A Fast Lexicographic Algorithm for Association Rule Mining in Web Applications. ICDCS Workshop of Knowledge Discovery and Data Mining in the World-Wide Web Ming-Yen Lin, Suh-Yin Lee
1998	B	`conf`	Incremental update on sequential patterns in large databases. ICTAI Ming-Yen Lin, Suh-Yin Lee