Report
By M. Matsuda, G. Hunt. 2004
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Andrzej Buras
- W. Altmannshofer
- David M. Straub
- M. Jung
- C. Bobeth
- S. Descotes-Genon
- T. Hurth
- Farvah Mahmoudi
Citations in the corpus
- Gender as a Variable in Natural-Language Processing: Ethical Considerations (2017, background): “In the United States, academic researchers are generally guided by principles articulated in the Belmont Report (1979), which calls on researchers to observe three principles: • Respect for persons represents the right of a human taking part or being observed in research (sometimes called a…”
- A Survey on Software Fault Localization (2016, methodology): “A 2002 report from the National Institute of Standards and Technology (NIST) [304] indicated that software errors are estimated to cost the U.S. economy $59.5 billion annually (0.6 percent of the GDP); the cost has undoubtedly grown since then.”
- PGD-Based Computational Vademecum for Efficient Design, Optimization and Control (2013, background): “This panel concluded that “Dynamic data-driven application systems will rewrite the book on the validation and verification of computer predictions” and that “research is needed to effectively use and integrate data-intensive computing systems, ubiquitous sensors and high-resolution detectors, imagi”
- Automatic analysis of malware behavior using machine learning (2011, unknown): “Unfortunately, the increasing amount and diversity of malware render classic security techniques, such as anti-virus scanners, ineffective and, as a consequence, millions of hosts in the Internet are currently infected with malicious software [38,61].”
- Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology (2017, background): “More than 128 million imaging examinations were realized in the United States in 2015, greater than 60% of which were CTs (Figure 2B); and an increase of >36% in use of advanced imaging was seen from 2005 to 2015 [59], reiterating the vast amount of available data.”