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Causal filter

Known as: Anti-causal filter, Anticausal filter 
In signal processing, a causal filter is a linear and time-invariant causal system. The word causal indicates that the filter output depends only on… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
The NLM LHC team approached the cohort selection task of the 2011 Medical Records Track as a question answering problem. We… 
2008
2008
This comprehensive and easy-to-read treatment of the various facets, history, and criticisms involved in risk assessment for… 
Highly Cited
2004
Highly Cited
2004
For TRECVID 2004, CMU participated in the semantic feature extraction task, and the manual, interactive and automatic search… 
Highly Cited
2002
Highly Cited
2002
While empirical evaluations are a common research method in some areas of Artificial Intelligence (AI), others still neglect this… 
2001
2001
RedesignIT is a computer program that uses model-based reasoning to generate and evaluate proposals of redesign plans for… 
Highly Cited
1999
Highly Cited
1999
Functional scenarios describing system views, uses, or services are a common way of capturing requirements of distributed systems… 
1990
1990
Fuzzy set theory is investigated as a tool for the diagnostics of systems described by means of a fault tree. The objective is to… 
Highly Cited
1982
Highly Cited
1982
The ability to explain something, e.g., the operation of a complex machine or program, is an important, but poorly understood… 
1974
1974
Three general m e t h o d s w h e r e b y we can i m p r o v e o u r u n d e r s t a n d i n g o f the b i o p h y s i c a l e f…