Results 111 to 120 of about 144,041 (295)
What can the rankings of "top - visual - artists" in the world tell about the social construction of value within the contemporary art domain? After drawing a historical analysis of evaluation systems of artists, we present the methodology used by the ...
Alain Quemin
doaj +1 more source
Bibliografia sobre Rànquings en Educació Superior i E-learningBibliografía sobre Rankings en Educación Superior y E-learningBibliography about ranking in higher education and e ...
Universitat Oberta de Catalunya. Biblioteca
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This release contains supplementary data and the code used to collect and analyse the data for the study A Longitudinal Analysis of University ...
Friso Selten
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This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Do Rankings Reflect Research Quality? [PDF]
Publication and citation rankings have become major indicators of the scientific worth of universities and countries, and determine to a large extent the career of individual scholars.
Katja Rost, Bruno S. Frey
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Research handbook on University rankings : theory, methodology, influence and impact
Gathering unique and thoughtful contributions from leading international scholars, this timely Research Handbook offers diverse perspectives on university rankings twenty years after the first global rankings emerged.
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This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
Ranking Learning-to-Rank Methods.
We present a cross-benchmark comparison of learning-to-rank methods using two evaluation measures: the Normalized Winning Number and the Ideal Winning Number. Evaluation results of 87 learning-to-rank methods on 20 datasets show that ListNet, SmoothRank, FenchelRank, FSMRank, LRUF and LARF are Pareto optimal learning-to-rank methods, listed in ...
Hiemstra, D., Tax, N., Bockting, S.
openaire +2 more sources
On rank correlation and the distance between rankings [PDF]
Rank correlation statistics are useful for determining whether a there is a correspondence between two measurements, particularly when the measures themselves are of less interest than their relative ordering. Kendall's - in particular has found use in Information Retrieval as a "meta-evaluation" measure: it has been used to compare evaluation measures,
openaire +2 more sources
RESEARCH IN ECONOMICS IN SPAIN: RANKINGS OF INSTITUTIONS AND AUTHORS [PDF]
In this paper we analyse the research in Economics in Spain during the 1990s considering the contributions of both Spanish and foreign economist who have worked in Spain during that period.
Juan J. Dolado +2 more
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