Results 1 to 10 of about 48,506 (148)
Learning Algorithms for Ophthalmologists: A Conceptual Primer [PDF]
Journal of Academic Ophthalmology, 2019 Ariana M. Levin +2 more
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CG2A: Conceptual Graphs Generation Algorithm [PDF]
Atlantis Studies in Uncertainty Modelling, 2021 Conceptual Graphs (CGs) are a formalism to represent knowledge. However producing a CG database is complex. To the best of our knowledge, existing methods do not fully use the expressivity of CGs. It is particularly troublesome as it is necessary to have CG databases to test and validate algorithms running on CGs. This paper proposes CG2A, an algorithm
Faci, Adam +2 more
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Longitudinal estimation of stress-related states through bio-sensor data [PDF]
Applied Computing and Informatics, 2021 PurposeThe authors aim to develop a conceptual framework for longitudinal estimation of stress-related states in the wild (IW), based on the machine learning (ML) algorithms that use physiological and non-physiological bio-sensor data.Design/methodology ...
Vadym Mozgovoy
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Algorithm for the Accelerated Calculation of Conceptual Distances in Large Knowledge Graphs
Mathematics, 2023 Conceptual distance refers to the degree of proximity between two concepts within a conceptualization. It is closely related to semantic similarity and relationships, but its measurement strongly depends on the context of the given concepts.
Rolando Quintero +4 more
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Computers, 2023 This paper presents a new chance-constrained optimization (CCO) formulation for the bulk carrier conceptual design. The CCO problem is modeled through the scenario design approach. We conducted extensive numerical experiments comparing the convergence of
Jakub Kudela
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Framework for the Ensemble of Feature Selection Methods
Applied Sciences, 2021 Feature selection (FS) has attracted the attention of many researchers in the last few years due to the increasing sizes of datasets, which contain hundreds or thousands of columns (features).
Maritza Mera-Gaona +3 more
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A unified representation and transformation of multi-model data using category theory
Journal of Big Data, 2022 The support for multi-model data has become a standard for most of the existing DBMSs. However, the step from a conceptual (e.g., ER or UML) schema to a logical multi-model schema of a particular DBMS is not straightforward.
Pavel Koupil, Irena Holubová
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Здоровье мегаполиса, 2023 The article analyzes current conceptual approaches to developing algorithms for supporting doctor's decision-making process. The need for application of sorting algorithms to generate decision-supporting algorithms is explained.
M. A. Yakushin +5 more
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Explainable outlier detection: What, for Whom and Why?
Machine Learning with Applications, 2021 Outlier algorithms are becoming increasingly complex. Thereby, they become much less interpretable to the data scientists applying the algorithms in real-life settings and to end-users using their predictions. We argue that outliers are context-dependent
Jonas Herskind Sejr, Anna Schneider-Kamp
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Frontiers in Genetics, 2012 In this paper, we present a systematic and conceptual overview of methods for inferring gene regulatory networks from observational gene expression data.
Frank eEmmert-Streib +5 more
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