Results 1 to 10 of about 134,657 (258)
Evaluating explainability for graph neural networks
Scientific Data, 2023 As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial.
Chirag Agarwal +3 more
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HMPLMD: Handwritten Malayalam palm leaf manuscript dataset
Data in Brief, 2023 The realization of high recognition rates of degraded documents such as palm leaf manuscripts primarily relies on document enhancement. Advancement of deep learning models in the process of document enhancement plays a major role among non-deep learning ...
B.J. Bipin Nair, N. Shobha Rani
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Empirical methodology for crowdsourcing ground truth [PDF]
Semantic Web, 2021 The process of gathering ground truth data through human annotation is a major bottleneck in the use of information extraction methods for populating the Semantic Web. Crowdsourcing-based approaches are gaining popularity in the attempt to solve the issues related to volume of data and lack of annotators.
Dumitrache, Anca +6 more
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Weak Ground Truth Determination of Continuous Human-Rated Data
IEEE Access, 2021 The article presents a novel weak ground truth (WGT) determination procedure on continuous human-rated data. The notion of WGT is essential in cases where there is no direct empirical evidence for an observed construct and human annotations provide the ...
Andrej Kosir, Gregor Strle, Marko Meza
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Upscaling Evapotranspiration from a Single-Site to Satellite Pixel Scale
Remote Sensing, 2021 It is of great significance for the validation of remotely sensed evapotranspiration (ET) products to solve the spatial-scale mismatch between site observations and remote sensing estimations.
Xiang Li +11 more
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ON CONSTRUCTION OF A RELIABLE GROUND TRUTH FOR EVALUATION OF VISUAL SLAM ALGORITHMS
Acta Polytechnica CTU Proceedings, 2016 In this work we are concerning the problem of localization accuracy evaluation of visual-based Simultaneous Localization and Mapping (SLAM) techniques.
Jan Bayer, Petr Čížek, Jan Faigl
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The Inconvenient Truths of Ground Truth for Binary Analysis
Proceedings 2022 Workshop on Binary Analysis Research, 2022 The effectiveness of binary analysis tools and techniques is often measured with respect to how well they map to a ground truth. We have found that not all ground truths are created equal. This paper challenges the binary analysis community to take a long look at the concept of ground truth, to ensure that we are in agreement with definition(s) of ...
Jim Alves-Foss, Varsha Venugopal
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On the Use of Threshold for the Ground Validation of Satellite Rain Rate
Advances in Meteorology, 2015 Ground-truthing is a major problem in the satellite estimation of rain rate. This problem is that the measurement taken by the satellite sensor is fundamentally different from the one it is compared with on the ground.
Jungsoo Yoon, Chulsang Yoo, Eunho Ha
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Data, 2021 A new ground truth dataset generated with high-accuracy Global Navigation Satellite Systems (GNSS) positional data of the invasive reed Phragmites australis subsp. australis within Îles-de-Boucherville National Park (Quebec, Canada) is described.
Kathryn Elmer, Margaret Kalacska
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The Invariant Ground Truth of Affect
2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2022 Affective computing strives to unveil the unknown relationship between affect elicitation, manifestation of affect and affect annotations. The ground truth of affect, however, is predominately attributed to the affect labels which inadvertently include biases inherent to the subjective nature of emotion and its labeling.
Konstantinos Makantasis +3 more
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