Results 21 to 30 of about 13,396 (303)
Marine Drugs, 2023 Bioactive peptides range in size from 2–30 amino acids and may be derived from any protein-containing biomass using hydrolysis, fermentation or high-pressure processing.
Diane Purcell +2 more
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Using feature selection algorithm for prediction of evapotranspiration with the lowest data [PDF]
مدیریت بیابان, 2018 In the present study the most effective climatological parameters for prediction of evapotranspiration using feature selection algorithm in Darab city located in southwest of Fars province was selected.
Marzieh Mokarram, Abdol Rassoul Zarei
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FairBayRank: A Fair Personalized Bayesian Ranker [PDF]
ESANN 2023 proceesdings, 2023 Recommender systems are data-driven models that successfully pro- vide users with personalized rankings of items (movies, books...). Meanwhile, for user minority groups, those systems can be unfair in predicting users’ expectations due to biased data. Consequently, fairness remains an open challenge in the rank- ing prediction task.
Noulapeu Ngaffo, Armielle +3 more
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Genesis and characteristics of the soil in A-R stage in forest ecosystems of NP 'Tara' [PDF]
Glasnik Šumarskog Fakulteta: Univerzitet u Beogradu, 2009 Different types of soil in A-R stage formed on limestone and serpentinite in forest ecosystems in NP 'Tara' were researched. Based on the specific effect of limestone on the soil genesis and evolution, two types of calcareous limestone bedrocks were ...
Knežević Milan, Košanin Olivera
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Rankers over Infinite Words [PDF]
, 2010 To be presented at the 14th Int. Conference on Developments in Language Theory (DLT 2010).
Dartois, Luc +2 more
openaire +4 more sources
Propose Data Mining System to Advance E-Learning Over Online Social Network (Facebook) [PDF]
Engineering and Technology Journal, 2015 This research presents a proposal to advance e-learning over online social network, facebook, through analyzing the structure of this network and the behavior of their users.
Soukaena Hassan Hashem +1 more
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Pairwise meta-rules for better meta-learning-based algorithm ranking [PDF]
, 2013 In this paper, we present a novel meta-feature generation method in the context of meta-learning, which is based on rules that compare the performance of individual base learners in a one-against-one manner.
Pfahringer, Bernhard, Sun, Quan
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npj Digital Medicine, 2021 The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related publications across scientific disciplines.
Andre Esteva +6 more
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Design and Analysis of a Collaborative Story Generation Game for Social Robots
Frontiers in Computer Science, 2021 Storytelling plays a central role in human socializing and entertainment, and research on conducting storytelling with robots is gaining interest. However, much of this research assumes that story content is curated.
Eric Nichols +3 more
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EFSIS: Ensemble Feature Selection Integrating Stability [PDF]
, 2018 Ensemble learning that can be used to combine the predictions from multiple learners has been widely applied in pattern recognition, and has been reported to be more robust and accurate than the individual learners.
Jonassen, Inge, Zhang, Xiaokang
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