An Unsupervised Error Detection Methodology for Detecting Mislabels in Healthcare Analytics [PDF]
BioengineeringMedical datasets may be imbalanced and contain errors due to subjective test results and clinical variability. The poor quality of original data affects classification accuracy and reliability.
Pei-Yuan Zhou +6 more
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Not all grammar errors are equally noticed: error detection of naturally occurring errors and implications for eye-tracking models of everyday texts [PDF]
Frontiers in Psychology, 2023 Grammar errors are a natural part of everyday written communication. They are not a uniform group, but vary from morphological errors to ungrammatical word order and involve different types of word classes. In this study, we examine whether some types of
Katrine Falcon Søby +2 more
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Hybrid Pipeline Hardware Architecture Based on Error Detection and Correction for AES [PDF]
Sensors, 2021 Currently, cryptographic algorithms are widely applied to communications systems to guarantee data security. For instance, in an emerging automotive environment where connectivity is a core part of autonomous and connected cars, it is essential to ...
Ignacio Algredo-Badillo +4 more
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On Error Detection in Asymmetric Channels [PDF]
, 2017 We study the error detection problem in $ q $-ary asymmetric channels wherein every input symbol $ x_i $ is mapped to an output symbol $ y_i $ satisfying $ y_i \geq x_i $.
Kovačević, Mladen
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Enhancing Error Detection on Medical Knowledge Graphs via Intrinsic Label [PDF]
BioengineeringThe construction of medical knowledge graphs (MKGs) is steadily progressing from manual to automatic methods, which inevitably introduce noise, which could impair the performance of downstream healthcare applications.
Guangya Yu, Qi Ye, Tong Ruan
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Advancing passive BCIs: a feasibility study of two temporal derivative features and effect size-based feature selection in continuous online EEG-based machine error detection [PDF]
Frontiers in NeuroergonomicsThe emerging integration of Brain-Computer Interfaces (BCIs) in human-robot collaboration holds promise for dynamic adaptive interaction. The use of electroencephalogram (EEG)-measured error-related potentials (ErrPs) for online error detection in ...
Yanzhao Pan +4 more
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The Effect of Static and Dynamic Visual Stimulations on Error Detection Based on Error-Evoked Brain Responses [PDF]
Sensors, 2020 Error-related potentials (ErrPs) have provided technical support for the brain-computer interface. However, different visual stimulations may affect the ErrPs, and furthermore, affect the error recognition based on ErrPs.
Rui Xu +4 more
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Research on motion track error detection and compensation algorithm based on MEMS sensor [PDF]
ITM Web of Conferences, 2022 Due to various errors in actual use, MEMS inertial sensors have large errors in the detection of motion trajectories. Therefore, it is necessary to analyse and model the errors to decrease the impact of error sources on the detection system.
Yu Yudan, Lin Wei, Yu Zhaoyang
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Simulation as a Tool in Operational Safety, Reliability and Control [PDF]
Modeling, Identification and Control, 1985 Dynamic simulation has long been considered indispensable for the understanding of process dynamics and for control system design. There has been a tremendous increase in the number of computer based simulation tools, and considerable improvements have ...
Arne Tyssø
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Error Detection for Arabic Text Using Neural Sequence Labeling
Applied Sciences, 2020 The English language has, thus far, received the most attention in research concerning automatic grammar error correction and detection. However, these tasks have been less investigated for other languages. In this paper, we present the first experiments
Nora Madi, Hend Al-Khalifa
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