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ICDM
2009
IEEE
150views Data Mining» more  ICDM 2009»
13 years 2 months ago
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances. A r...
Xiao Yu, Lu An Tang, Jiawei Han
ICFP
2002
ACM
14 years 4 months ago
Tagless staged interpreters for typed languages
Multi-stage programming languages provide a convenient notation for explicitly staging programs. Staging a definitional interpreter for a domain specific language is one way of de...
Emir Pasalic, Walid Taha, Tim Sheard
MICCAI
2002
Springer
14 years 5 months ago
Two-Stage Alignment of fMRI Time Series Using the Experiment Profile to Discard Activation-Related Bias
In this paper, we show that the standard point of view of the neuroimaging community about fMRI time series alignment should be revisited to overcome the bias induced by activation...
Luis Freire, Jean-Francois Mangin
ICFP
2001
ACM
14 years 4 months ago
Macros as Multi-Stage Computations: Type-Safe, Generative, Binding Macros in MacroML
With few exceptions, macros have traditionally been viewed as operations on syntax trees or even on plain strings. This view makes macros seem ad hoc, and is at odds with two desi...
Steven E. Ganz, Amr Sabry, Walid Taha