Results 11 to 20 of about 1,261,630 (267)
IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models
Journal of Big Data, 2022 Recent advances in deep neural networks have achieved outstanding success in natural language processing tasks. Interpretation methods that provide insight into the decision-making process of these models have received an influx of research attention ...
Mohammed Khaleel +5 more
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Agronomy, 2021 Precision agriculture is highly dependent on the collection of high quality ground truth data to validate the algorithms used in prescription maps. However, the process of collecting ground truth data is labor-intensive and costly.
Brianna B. Posadas +3 more
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Does Set Theory Really Ground Arithmetic Truth?
Axioms, 2022 We consider the foundational relation between arithmetic and set theory. Our goal is to criticize the construction of standard arithmetic models as providing grounds for arithmetic truth. Our method is to emphasize the incomplete picture of both theories
Alfredo Roque Freire
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Defining and Evaluating Network Communities based on Ground-truth [PDF]
, 2012 Nodes in real-world networks organize into densely linked communities where edges appear with high concentration among the members of the community. Identifying such communities of nodes has proven to be a challenging task mainly due to a plethora of ...
Leskovec, Jure, Yang, Jaewon
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Microwave radiometric studies and ground truth measurements of the NASA/USGS Southern California test site [PDF]
, 1969 The field measurement program conducted at the NASA/USGS Southern California Test Site is discussed. Ground truth data and multifrequency microwave brightness data were acquired by a mobile field laboratory operating in conjunction with airborne ...
Edgerton, A. T. +3 more
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2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023 7pages, 2 figures (minor corrections to text, affiliations and layout)
Kofler, F. +17 more
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Automated analysis of radar imagery of Venus: handling lack of ground truth [PDF]
, 1994 Lack of verifiable ground truth is a common problem in remote sensing image analysis. For example, consider the synthetic aperture radar (SAR) image data of Venus obtained by the Magellan spacecraft.
Burl, M. C. +3 more
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Applied Computing and Geosciences, 2023 Lake Chad is facing critical situations since the 1960s due to the effects of climate change and anthropogenic activities. The statistical analyses of remote sensing climate variables (i.e., evapotranspiration, specific humidity, soil temperature, air ...
Kim-Ndor Djimadoumngar
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On Refining Twitter Lists as Ground Truth Data for Multi-Community User Classification [PDF]
, 2018 To help scholars and businesses understand and analyse Twitter users, it is useful to have classifiers that can identify the communities that a given user belongs to, e.g. business or politics.
Fang, Anjie +4 more
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A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning
IEEE Access, 2023 Multi-view partial multi-label learning (MVPML) is a fundenmental problem where each sample is linked to multiple kinds of features and candidate labels, including ground-truth and noise labels.
Jiazheng Yuan +3 more
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