David K. Tcheng

Publication Activity (10 Years)

Years Active: 1987-2017
Publications (10 Years): 2

Top Topics

Contingency Tables

Automatic Recognition

Top Venues

Ecol. Informatics

Publications

Derek S. Haselhorst, David K. Tcheng, J. Enrique Moreno, Surangi Punyasena
The effects of seasonal and long-term climatic variability on Neotropical flowering phenology: An ecoinformatic analysis of aerial pollen data. Ecol. Informatics 41 (2017)
Shannon Cuykendall, Michael J. Junokas, Mohammad Amanzadeh, David K. Tcheng, Yawen Wang, Thecla Schiphorst, Guy E. Garnett, Philippe Pasquier
Hearing movement: how taiko can inform automatic recognition of expressive movement qualities. MOCO (2015)
J. Stephen Downie, David K. Tcheng, Xin Xiang
Novel interface services for bioacoustic digital libraries. JCDL (2008)
J. Stephen Downie, Andreas F. Ehmann, David K. Tcheng
Real-Time Genre Classification for Music Digital Libraries. Bull. IEEE Tech. Comm. Digit. Libr. 2 (1) (2005)
J. Stephen Downie, Andreas F. Ehmann, David K. Tcheng
Real-time genre classification for music digital libraries. JCDL (2005)
J. Stephen Downie, Andreas F. Ehmann, David K. Tcheng
Music-to-knowledge (M2K): a prototyping and evaluation environment for music information retrieval research. SIGIR (2005)
J. Stephen Downie, Joe Futrelle, David K. Tcheng
The International Music Information Retrieval Systems Evaluation Laboratory: Governance, Access and Security. ISMIR (2004)
Shankar Subramaniam, David K. Tcheng, James M. Fenton
A Knowledge-Based Method for Protein Structure Refinement and Prediction. ISMB (1996)
Shankar Subramaniam, David K. Tcheng, K. Hu, Harish Ragavan, Larry A. Rendell
Knowledge Engineering for Protein Structure and Motifs: Design of a Prototype System. SEKE (1992)
Sudhakar Yerramareddy, David K. Tcheng, Stephen C. Y. Lu, Dennis N. Assanis
Creating and Using Models for Engineering Design: A Machine-Learning Approach. IEEE Expert 7 (3) (1992)
David K. Tcheng, Shankar Subramaniam
Machine Approaches to Protein Feature Prediction. Int. J. Neural Syst. 3 (Supplement) (1992)
David K. Tcheng, Bruce L. Lambert, Stephen C. Y. Lu, Larry A. Rendell
AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision Making. ML (1991)
David K. Tcheng, Bruce L. Lambert, Stephen C. Y. Lu, Larry A. Rendell
Building Robust Learning Systems by Combining Induction and Optimization. IJCAI (1989)
Bruce L. Lambert, David K. Tcheng, Stephen C. Y. Lu
Generalized Recursive Splitting Algorithms for Learning Hybrid Concepts. ML (1989)
Larry A. Rendell, Raj Sheshu, David K. Tcheng
Layered Concept-Learning and Dynamically Variable Bias Management. IJCAI (1987)