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From child-peer similarity in imitative behavior to matched peer-mediated interventions in autism
Frontiers in Psychology, 2023 Self-consciousness develops through a long process, from pre-reflexive consciousness relying on body perception, to “meta” self-awareness. It emerges from the imitative experience between children and their peers.
Jean Xavier +4 more
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Towards Better Wind Resource Modeling in Complex Terrain: A k-Nearest Neighbors Approach
Energies, 2021 Wind turbines are often placed in complex terrains, where benefits from orography-related speed up can be capitalized. However, accurately modeling the wind resource over the extended areas covered by a typical wind farm is still challenging over a flat ...
Pedro Quiroga-Novoa +5 more
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Decompose Boolean Matrices with Correlation Clustering
Entropy, 2021 One of the tasks of data science is the decomposition of large matrices in order to understand their structures. A special case of this is when we decompose relations, i.e., logical matrices.
László Aszalós
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Frontiers in Bioengineering and Biotechnology, 2020 Identifying drug-disease associations is integral to drug development. Computationally prioritizing candidate drug-disease associations has attracted growing attention due to its contribution to reducing the cost of laboratory screening.
Feng Huang +7 more
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Phytosociological Survey of Sugarcane Crop Weeds in Different Agroecological Areas in Tucumán Province, Argentina [PDF]
Planta Daninha, 2019 : Weeds constitute the main constraint on the productivity of sugarcane agroecosystems in Argentina. This work aimed to analyze the floristic and phytosociological composition of sugarcane weed communities in different agroecological areas in Tucumán ...
D.C. CABRERA +3 more
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Blending et analogie : enjeux épistémologiques
Corela, 2023 This paper aims to put into perspective, through an epistemological approach the theories of blending (or “conceptual integration”, CI) and analogy. It is based on the integration of cognitive semantics approach (Fauconnier, 1985; Fauconnier and Turner ...
Mariangela Albano, Philippe Monneret
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A conceptual similarity and correlation discrimination method based on HowNet [PDF]
MATEC Web of Conferences, 2020 The similarity and correlation analysis of word concepts has a wide range of applications in natural language processing, and has important research significance in information retrieval, text classification, data mining, and other application fields ...
Ding Yunnian, Jia Yangli, Zhang Zhenling
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BMC Genomics, 2011 Background Microarray data have a high dimension of variables and a small sample size. In microarray data analyses, two important issues are how to choose genes, which provide reliable and good prediction for disease status, and how to determine the ...
Liu Qingzhong +8 more
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Image Similarity to Improve the Classification of Breast Cancer Images
Algorithms, 2009 Techniques in image similarity can be used to improve the classification of breast cancer images. Breast cancer images in the mammogram modality have an abundance of non-cancerous structures that are similar to cancer, which make classification of images
Dave Tahmoush
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Minimax Bridgeness-Based Clustering for Hyperspectral Data
Remote Sensing, 2020 Hyperspectral (HS) imaging has been used extensively in remote sensing applications like agriculture, forestry, geology and marine science. HS pixel classification is an important task to help identify different classes of materials within a scene, such ...
Steven Le Moan, Claude Cariou
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