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  1. 3081
    “…These observations shed light on the importance of human influence on tracking algorithms, the selection of training images, and the quality of annotated sample images used to benchmark the performance of a classifier (the ‘ground truth’). Evaluation of these factors is necessary for researchers to accurately interpret behavioral data quantified by a machine-learning algorithm and to further improve automated classifications.…”
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    Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm
  2. 3082
    “…A synthetic dataset is generated by the combination of electrocardiography (ECG) and EMG to establish a ground truth reference for validation. The performance is compared with state-of-the-art algorithms: gating, high-pass filtering, template subtraction (TS), and independent component analysis (ICA). …”
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    Singular Value Decomposition for Removal of Cardiac Interference from Trunk Electromyogram
  3. 3083
    “…Typically, the training of a new algorithm requires a lot of ground truth data, which is costly to obtain. As many labelled contact ECG datasets exist, we could avoid the use of labelling new ccECG signals by making use of previous knowledge. …”
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    Online Artículo Texto
    Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECG
  4. 3084
    “…In situ ground truth data are an important requirement for producing accurate cropland type map, and this is precisely what is lacking at vast scales. …”
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    Online Artículo Texto
    Identification of Crop Type in Crowdsourced Road View Photos with Deep Convolutional Neural Network
  5. 3085
    “…We used two methods: (1) a controlled, cheap, and easily reproducible experiment (observing a marker on a rotating disk at varying speeds); (2) selecting one challenging practical ballistic experiment (observing a flying bullet having a ground truth provided by an ultra-high-speed expensive frame-camera). …”
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    Online Artículo Texto
    Experimental Comparison between Event and Global Shutter Cameras
  6. 3086
    por Sun, Zhenzhen, Yu, Yuanlong
    Publicado 2021
    “…Therefore, this work presents a simple and efficient fast approximation method for SC, in which a special single-hidden-layer neural network (SLNNs) is constructed to perform the approximation task, and the optimal sparse features of training samples exactly computed by sparse coding algorithm are used as ground truth to train the SLNNs. After training, the proposed SLNNs can quickly estimate sparse features for testing samples. …”
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    Online Artículo Texto
    Fast Approximation for Sparse Coding with Applications to Object Recognition
  7. 3087
    “…A neoromantic one focuses on deriving truth through intuition and following a “natural” path and informs a risk typology: embracing (refusing) “natural” (“unnatural”) risks such as “childhood diseases” (“pharmaceutical substances”). …”
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    “Following Your Gut” or “Questioning the Scientific Evidence”: Understanding Vaccine Skepticism among More-Educated Dutch Parents
  8. 3088
    por Zhang, Pei, Li, Ying, Wang, Dong, Wang, Jiyue
    Publicado 2021
    “…While growing instruments generate more and more airborne or satellite images, the bottleneck in remote sensing (RS) scene classification has shifted from data limits toward a lack of ground truth samples. There are still many challenges when we are facing unknown environments, especially those with insufficient training data. …”
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    RS-SSKD: Self-Supervision Equipped with Knowledge Distillation for Few-Shot Remote Sensing Scene Classification
  9. 3089
    “…Such gold standards, where the ground truth is known, are required in computational mass spectrometry to test new algorithms and to improve parameters of existing ones. …”
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    SMITER—A Python Library for the Simulation of LC-MS/MS Experiments
  10. 3090
    “…All four algorithms’ performances were evaluated using the Simultaneous Truth and Performance Level Estimation (STAPLE) together with several overlap benchmarks as the Dice coefficient and the Jaccard index. …”
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    Assessment of Registration Methods for Thermal Infrared and Visible Images for Diabetic Foot Monitoring
  11. 3091
    por Hwang, Yoo Na, Seo, Min Ji, Kim, Sung Min
    Publicado 2021
    “…All skin lesions were segmented with high accuracies (>94%) and Dice coefficients (>0.91) of the ground truth on two databases. The quantitative experimental results reveal that the proposed method yielded significantly better results compared to other traditional level set models and has a certain advantage over the segmentation results of U-net in standard images. …”
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    A Segmentation of Melanocytic Skin Lesions in Dermoscopic and Standard Images Using a Hybrid Two-Stage Approach
  12. 3092
    “…Additionally, labeling the ground truth for cardiac segmentation requires the extensive manual annotation of images by the radiologist. …”
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    Semantic Cardiac Segmentation in Chest CT Images Using K-Means Clustering and the Mathematical Morphology Method
  13. 3093
    por Jin, Weiwei, Alastruey, Jordi
    Publicado 2021
    “…Three-dimensional (3-D) modelling and in vitro measurements were used as ground truth to assess the accuracy of 1-D model pressure and flow waves. …”
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    Arterial pulse wave propagation across stenoses and aneurysms: assessment of one-dimensional simulations against three-dimensional simulations and in vitro measurements
  14. 3094
    “…The SkullFix dataset was first used in the MICCAI 2020 AutoImplant Challenge (https://autoimplant.grand-challenge.org/) and the ground truth, i.e., the complete skulls and the implants in the evaluation set are held private by the organizers. …”
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    SkullBreak / SkullFix – Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks
  15. 3095
    “…Estimated material properties agree with the “ground truth” experimental values to within 3% for most parameters. …”
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    Bayesian Inference of Vocal Fold Material Properties from Glottal Area Waveforms Using a 2D Finite Element Model
  16. 3096
    “…Three‐Dimensional printing and subtractive manufacturing enabled rapid, cost‐effective production of ground‐truth calibration mini‐lung‐phantoms with low inter‐sample variation that can be scanned simultaneously with the patient undergoing lung quantitative CT.…”
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    A calibration CT mini‐lung‐phantom created by 3‐D printing and subtractive manufacturing
  17. 3097
    “…Creating datasets that combine naturalistic recordings with high-accuracy data about ground truth body shape and pose is challenging because different motion recording systems are either optimized for one or the other. …”
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    MoVi: A large multi-purpose human motion and video dataset
  18. 3098
    por Yang, Chen, Zhou, Xinyi, Zafarani, Reza
    Publicado 2021
    “…The dataset contains a rich set of multimedia information for each microblog including ground-truth label, textual, visual, temporal, and network information. …”
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    CHECKED: Chinese COVID-19 fake news dataset
  19. 3099
    “…We describe the components involved to achieve this performance, including size, variety and quality of ground truth, and appropriate neural net architecture. We demonstrate the crucial role of appropriately large and varied datasets, suggesting a less prominent role for algorithm development beyond a threshold of capability.…”
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    Convolutional Neural Net Learning Can Achieve Production-Level Brain Segmentation in Structural Magnetic Resonance Imaging
  20. 3100
    “…Overall high correlations between ground truth and predicted kinematic and kinetic data were found across all investigated ANNs. …”
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    Online Artículo Texto
    A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units
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