On identification

By Christian Kleinewächter. Electron. Notes Discret. Math., 2005

689 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/967314d260e9f47ae44b49cf845d763da21f0f4d

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Citations in the corpus

Resistance to vemurafenib resulting from a novel mutation in the BRAFV600E kinase domain (2013, result): “By comparison with the results with PLX4720, the BRAFV600E/L505H mutant had only a modest (5–7-fold) effect on resistance to two other BRAF inhibitors: SB590885 (Takle et al., 2006) and RAF265 (Amiri et al., 2006) (Figure 2C, D and Figure S3B, C).”
Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming (2006, methodology): “Bouzeghoub et al. (2000) analyzes, using simulation examples, the ability of several updating algorithms for tracking nonstationary processes. The review compares the different approaches used by these algorithms to balance proper tracking and noise averaging. Another approach that is adopted is to ”
The spectral input systems of hymenopteran insects and their receptor-based colour vision (2004, background): “Similar long ~,--x are reached either with original rhodopsin pigments without screening effects, as in the solitary bee Callonychium petuniae and other insects like butterflies (Bernard 1979) and dragonflies (Meinertzhagen et al. 1983), or with filtering effects through pigment granules (Ribi 1978)”
Differentiation Between School Attendance Problems: Why and How? (2019, background): “, 1985; Bools et al., 1990; Vaughn et al., 2013) and between SR and internalizing behavior (e.g., Bools et al., 1990; Egger et al., 2003). For example, Bools et al. (1990) found that half of TR youth had CD while none had an emotional disorder, and no SR youth had CD while half had an emotional diso”
Current State of Knowledge in Microbial Degradation of Polycyclic Aromatic Hydrocarbons (PAHs): A Review (2016, background): “…2016 | Volume 7 | Article 1369 in the environment, and will offer more information on as-yetuncultured organisms associated with PAHs bioremediation (Wilson et al., 1999; Amann et al., 2001; Fromin et al., 2002; Liang, 2002; Zhou and Thompson, 2002; Baldwin et al., 2003; Ginige et al., 2004).”
Interventions in INGARCH processes (2010, methodology): “This can be explained by the estimation of the mean underlying the INGARCH process apart from the estimates of the model parameters depending only on the past of time t. Gather et al. (2002) suggest a similar approach to reduce masking and swamping effects, in outlier detection for ARMA models.”