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  1. 1401
    “…Responses to unexpected questions are compared to responses to expected and control questions (i.e., questions to which a liar also must respond truthfully). Parameters that encode mouse movement were analyzed using machine learning classifiers and the results indicate that the mouse trajectories and errors on unexpected questions efficiently distinguish liars from truth-tellers. …”
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    Online Artículo Texto
    The detection of faked identity using unexpected questions and mouse dynamics
  2. 1402
    “…Twenty participants were instructed to lie about their identity, whereas the other 20 were asked to respond truthfully. Different machine learning (ML) models were trained, reaching an accuracy level around 90–95% in distinguishing liars from truth tellers based on error rate and response time. …”
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    Online Artículo Texto
    False Identity Detection Using Complex Sentences
  3. 1403
    “…Our results found the highest R-squared value (0.815) using Moisture Stress Index (MSI), with an overall accuracy of 72%, as a promising approach for estimating the severity of defoliation in affected areas where ground-truth data is limited. We concluded with the high potential of using UAVs as an alternative method to obtain ground-truth data for cost-effectively monitoring forest health. …”
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    Calibrating the Severity of Forest Defoliation by Pine Processionary Moth with Landsat and UAV Imagery
  4. 1404
    “…The predicted food energy values using our end-to-end energy estimation system was compared to the ground truth food energy values. The average error in the estimated energy was 209 kcal per eating occasion. …”
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    An End-to-End Image-Based Automatic Food Energy Estimation Technique Based on Learned Energy Distribution Images: Protocol and Methodology
  5. 1405
    “…One of the most studied scales in the literature on scalar implicatures is the quantifier scale. While the truth of some is entailed by the truth of all, some is felicitous only when all is false. …”
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    Cross-Linguistic Variation in the Meaning of Quantifiers: Implications for Pragmatic Enrichment
  6. 1406
    “…Computers, the Internet and social media enable every individual to be a publisher, communicating true or false information instantly and globally. In the ‘post-truth’ era, deception is commonplace at all levels of contemporary life. …”
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    Online Artículo Texto
    Fake science and the knowledge crisis: ignorance can be fatal
  7. 1407
    “…We applied this method by mapping the inhibitory neurons of hippocampal area CA1, for which ground truth is available from extensive prior work identifying their laminar organization. …”
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    Probabilistic cell typing enables fine mapping of closely related cell types in situ
  8. 1408
    por Cao, Yuchen, Hu, Lan, Kneip, Laurent
    Publicado 2020
    “…As such, they require much broader ground truth information for validation purposes. We discuss the structure of the representations and optimisation problems involved in Spatial AI, and propose new synthetic datasets that, for the first time, include accurate ground truth information about the scene composition as well as individual object shapes and poses. …”
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    Representations and Benchmarking of Modern Visual SLAM Systems
  9. 1409
    por Jeong, Sunwon, Chang, Ju Yong
    Publicado 2020
    “…Notably, our proposed method achieves a reconstruction error of 59.1 mm without using the 3D ground-truth data of Human3.6M, the standard dataset for 3D human mesh reconstruction.…”
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    MeshLifter: Weakly Supervised Approach for 3D Human Mesh Reconstruction from a Single 2D Pose Based on Loop Structure
  10. 1410
    por Toffano, Zeno, Dubois, François
    Publicado 2020
    “…Logical functions are represented by operators and logical truth tables correspond to the eigenvalue structure. …”
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    Adapting Logic to Physics: The Quantum-Like Eigenlogic Program
  11. 1411
    “…To create the dataset, we apply a 3D reconstruction pipeline to produce high-quality depth images, ground truth poses, and 3D models for well-selected objects. …”
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    RobotP: A Benchmark Dataset for 6D Object Pose Estimation
  12. 1412
    “…Unlike other DL approaches, DIP requires neither pre-training nor fully-sampled ground truth, enabling its flexible and fast implementation on various imaging targets. …”
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    Deep image prior for undersampling high-speed photoacoustic microscopy
  13. 1413
    “…To bridge this gap, we applied a novel paradigm in psychology, the gradual-onset continuous performance task (gradCPT), to collect the ground truth of attention states. GradCPT allows for the precise labeling of attention fluctuation on an 800 ms time scale. …”
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    Moment-to-Moment Continuous Attention Fluctuation Monitoring through Consumer-Grade EEG Device
  14. 1414
    “…The testing of connectivity estimators is still an open issue because of the lack of a ground-truth in real data. Existing solutions such as the generation of simulated data based on a manually imposed connectivity pattern or mass oscillators can model only a few real cases with limited number of signals and spectral properties that do not reflect those of real brain activity. …”
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    SEED-G: Simulated EEG Data Generator for Testing Connectivity Algorithms
  15. 1415
    “…The first functionality is the visualization of both radar detections, the combined radar detections in the VCS, the camera images, and the ground truth angles, as the trailer rotates. The second functionality of the code is the replication of the estimation results in [1], which used only the radar detections from the dataset.…”
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    Dataset for trailer angle estimation using radar point clouds
  16. 1416
    “…As part of the Systematizing Confidence in Open Research and Evidence (SCORE) program, the present study consisted of a two-stage replication test of a central finding by Pennycook et al. (2020), namely that asking people to think about the accuracy of a single headline improves “truth discernment” of intentions to share news headlines about COVID-19. …”
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    How Accurate Are Accuracy-Nudge Interventions? A Preregistered Direct Replication of Pennycook et al. (2020)
  17. 1417
    “…Students used the language of sameness—both visible and invisible—to describe the truth-value of their transformed expressions and equalities. …”
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    Coordinating invisible and visible sameness within equivalence transformations of numerical equalities by 10- to 12-year-olds in their movement from computational to structural approaches
  18. 1418
    “…Perceived engagement, as an approximation to the ground truth, was annotated continuously by participants. …”
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    A Multimodal Approach for Real Time Recognition of Engagement towards Adaptive Serious Games for Health
  19. 1419
    por BADRÉ, ADRIEN, PAN, CHONGLE
    Publicado 2022
    “…In comparison with NID and GEH, the second-order interpretation results from LINA achieved better precision for identification of the ground-truth feature interactions in synthetic datasets. …”
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    LINA: A Linearizing Neural Network Architecture for Accurate First-Order and Second-Order Interpretations
  20. 1420
    por Stokes-Parish, Jessica
    Publicado 2022
    “…Misinformation creates challenges for the general public in differentiating truth from fiction in web-based content. During the COVID-19 pandemic, this issue has been amplified due to high volumes of news and changing information. …”
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    Navigating the Credibility of Web-Based Information During the COVID-19 Pandemic: Using Mnemonics to Empower the Public to Spot Red Flags in Health Information on the Internet
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