On the use of archetypes as benchmarks

By Giovanni Camillo Porzio, Giancarlo Ragozini, Domenico Vistocco. 2008

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Citations in the corpus

Prototypal Analysis and Prototypal Regression (2017, neutral): “…and Drachen, 2011; Drachen et al., 2012, 2016; Sifa and Bauckhage, 2013), marketing (Li et al., 2003; DEsposito et al., 2006), performance analysis (Porzio et al., 2006, 2008; Eugster, 2012; Seiler and Wohlrabe, 2013) and computer vision (Marinetti et al., 2006; Thurau and Bauckhage, 2009;…”
Bayesian quantile regression for count data with application to environmental epidemiology (2010, unknown): “Hewson and Yu (2008) overcame this problem by transforming the responses to pseudonormal variables, whereas Machado and Santos Silva (2005) contaminated them by adding uniform random noise.”
Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways (2013, unknown): “Later, AA has been applied in the identification of extreme practices in benchmarking and market research and signal enhancement and feature extraction of IR image sequences [7,8].”
PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement (2010, methodology): “A new method for unobserved heterogeneity detection in PLS-PM framework was recently presented by Trinchera (2007) and Esposito Vinzi et al. (2008).”
PLS-SEM: Indeed a Silver Bullet (2011, methodology): “…different approaches to response-based clustering such as FIMIX-PLS (Hahn et al. 2002; Ringle, Sarstedt, and Mooi 2010; Sarstedt and Ringle 2010), PLS genetic algorithm segmentation (Ringle and Schlittgen 2007), and response-based unit segmentation in PLS (REBUS-PLS) (Esposito Vinzi et al. 2008).”
Performance Profiles based on Archetypal Athletes (2012, unknown): “This statistical method was first introduced by Cutler and Breiman (1994) and has found applications in different areas, e.g., in economics (Li et al., 2003; Porzio et al., 2008), astrophysics (Chan et al., 2003) and pattern recognition (Bauckhage and Thurau, 2009).”
Students' Entrepreneurial Intentions: The Role of Prior Learning Experiences and Emotional, Social, and Cognitive Competencies* (2018, background): “…goodness of fit index suggested by Tenenhaus, Amato, and Esposito Vinzi (2004) that combines two components: the first takes into account the predictive performance of the measurement model whereas the second considers the predictive performance of the structural model (Esposito Vinzi et al. 2008).”
Archetypal analysis for machine learning (2010, unknown): “Recently, archetypal analysis has found use in benchmarking and market research identifying typically extreme practices, rather than just good practices [26] as well as in the analysis of astronomy spectra [5] as an approach for the end-member extraction problem [25].”