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PSD
2004
Springer
108views Database» more  PSD 2004»
16 years 25 days ago
Developing Adoptable Disclosure Protection Techniques: Lessons Learned from a U.S. Experience
The development of new disclosure protection techniques is useful only insofar as those techniques are adopted by statistical agencies. In order for technical experts in disclosure...
Nicholas H. Greenia
ASPLOS
2008
ACM
15 years 9 months ago
Learning from mistakes: a comprehensive study on real world concurrency bug characteristics
The reality of multi-core hardware has made concurrent programs pervasive. Unfortunately, writing correct concurrent programs is difficult. Addressing this challenge requires adva...
Shan Lu, Soyeon Park, Eunsoo Seo, Yuanyuan Zhou
200
Voted
BMCBI
2008
107views more  BMCBI 2008»
15 years 7 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
226
Voted
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
15 years 5 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
HICSS
2002
IEEE
140views Biometrics» more  HICSS 2002»
16 years 13 days ago
Intelligent Student Profiling with Fuzzy Models
Traditional Web-based educational systems still have several shortcomings when comparing with a real-life classroom teaching, such as lack of contextual and adaptive support, lack...
Dongming Xu, Huaiqing Wang, Kaile Su