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Explainable online health information truthfulness in Consumer Health Search
Frontiers in Artificial Intelligence, 2023 IntroductionPeople are today increasingly relying on health information they find online to make decisions that may impact both their physical and mental wellbeing.
Rishabh Upadhyay +3 more
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Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets
Complexity, 2021 K-nearest neighbours (kNN) is a very popular instance-based classifier due to its simplicity and good empirical performance. However, large-scale datasets are a big problem for building fast and compact neighbourhood-based classifiers. This work presents
Stanislav Protasov, Adil Mehmood Khan
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Comprehensive machine learning based study of the chemical space of herbicides
Scientific Reports, 2021 Widespread use of herbicides results in the global increase in weed resistance. The rotational use of herbicides according to their modes of action (MoAs) and discovery of novel phytotoxic molecules are the two strategies used against the weed resistance.
Davor Oršolić +3 more
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Review and Chemoinformatic Analysis of Ferroptosis Modulators with a Focus on Natural Plant Products
Molecules, 2023 Ferroptosis is a regular cell death pathway that has been proposed as a suitable therapeutic target in cancer and neurodegenerative diseases. Since its definition in 2012, a few hundred ferroptosis modulators have been reported.
Višnja Stepanić +1 more
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Redox Active Molecules in Cancer Treatments
Molecules, 2023 Cancer is one of the leading causes of death worldwide, with nearly 10 million deaths in 2020 [...]
Višnja Stepanić +1 more
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Representation and misrepresentation of knowledge
Behavioral and Brain Sciences, 2021 Abstract I argue for three points: First, evidence of the primacy of knowledge representation is not evidence of primacy of knowledge. Second, knowledge-oriented mindreading research should also focus on misrepresentations and biased representations of knowledge.
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A Systematic Review of Current Strategies and Methods for BIM Implementation in the Academic Field
Applied Sciences, 2021 Since the international governmental institutions required and/or recommended (according to the regulations of each country and continent) all public works to be certified in the BIM (Building Information Modeling) methodology, public and private ...
Alia Besné +6 more
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Triplet Loss Network for Unsupervised Domain Adaptation
Algorithms, 2019 Domain adaptation is a sub-field of transfer learning that aims at bridging the dissimilarity gap between different domains by transferring and re-using the knowledge obtained in the source domain to the target domain.
Imad Eddine Ibrahim Bekkouch +4 more
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Temporal Knowledge Graph Representation Learning [PDF]
Jisuanji kexue, 2022 As a structured form of human knowledge,knowledge graphs have played a great supportive role in supporting the semantic intercommunication of massive,multi-source,heterogeneous data,and effectively support tasks such as data analysis,attracting the ...
XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai
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PERSPECTIVES IN KNOWLEDGE REPRESENTATION
Applied Artificial Intelligence, 1991 Abstract In this paper we discuss recent developments in the research on knowledge representation, focusing on hybrid formalisms, nonmonotonic reasoning, and formalisms for reasoning about knowledge and reasoning in a multiagent scenario.
Carlucci Aiello, Luigia, NARDI, Daniele
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