Results 91 to 100 of about 142,624 (305)
RankEval: Evaluation and investigation of ranking models
SoftwareX, 2020 RankEval is a Python open-source tool for the analysis and evaluation of ranking models based on ensembles of decision trees. Learning-to-Rank (LtR) approaches that generate tree-ensembles are considered the most effective solution for difficult ranking ...
Claudio Lucchese +4 more
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Molecular Oncology, EarlyView.Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf +10 more
wiley +1 more source
Efficient AUC Optimization for Information Ranking Applications
, 2016 Adequate evaluation of an information retrieval system to estimate future performance is a crucial task. Area under the ROC curve (AUC) is widely used to evaluate the generalization of a retrieval system. However, the objective function optimized in many
C Cortes +6 more
core +1 more source
A DYNAMIC FEATURE SELECTION METHOD FOR DOCUMENT RANKING WITH RELEVANCE FEEDBACK APPROACH [PDF]
ICTACT Journal on Soft Computing, 2010 Ranking search results is essential for information retrieval and Web search. Search engines need to not only return highly relevant results, but also be fast to satisfy users.
K. Latha +3 more
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FEBS Open Bio, EarlyView.Fervidibacter sacchari is a member of the bacterial phylum Armatimonadota, only a few of which have been cultivated. It is a hyperthermophilic polysaccharide degradation specialist. We show that a secreted enzyme, Fsa02490Xyn, is an endoxylanase belonging to glycoside hydrolase family 10.
Nicole Torosian +10 more
wiley +1 more source
Design Patterns for Fusion-Based Object Retrieval
, 2017 We address the task of ranking objects (such as people, blogs, or verticals) that, unlike documents, do not have direct term-based representations. To be able to match them against keyword queries, evidence needs to be amassed from documents that are ...
C Macdonald +3 more
core +1 more source
The Performance of Boolean Retrieval and Vector Space Model in Textual Information Retrieval
CommIT Journal, 2017 Boolean Retrieval (BR) and Vector Space Model (VSM) are very popular methods in information retrieval for creating an inverted index and querying terms. BR method searches the exact results of the textual information retrieval without ranking the results.
Budi Yulianto +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.TTT and R2TP chaperone complexes are required for the assembly and activation of mTORC1. WAC directly interacts with components of TTT, R2TP, and mTORC1, and these interactions are affected by the availability of glucose and glutamine, correlating with changes in mTORC1 activity.
Sofía Cabezudo +11 more
wiley +1 more source
Designing and Delivering Effective Faculty Development With the Adult Learner in Mind
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT University faculty are busy professionals tasked with many different responsibilities. While they certainly care about student success, their expertise is generally discipline‐specific and strategies for effective and engaging teaching are developed in the classroom along the way.
Nancy V. Winfrey
wiley +1 more source
IDENTIFYING DOCUMENT-LEVEL TEXT PLAGIARISM: A TWO-PHASE APPROACH [PDF]
Journal of Engineering Science and Technology, 2017 The rapid evolution of information content and its ease of access have made the field of research and academia so vulnerable to plagiarism. Plagiarism is an act of intellectual theft and information breach which must be restricted to ensure educational ...
VANI K., DEEPA GUPTA
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