Results 31 to 40 of about 1,347,746 (312)
F1-score of prediction models by incorporating information from the last 7 days using the test set.
, 2023 F1-score of prediction models by incorporating information from the last 7 days using the test set.
Shazia Usmani (8684598) +1 more
core +1 more source
Automatic Feature Segmentation in Dental Periapical Radiographs
Diagnostics, 2022 While a large number of archived digital images make it easy for radiology to provide data for Artificial Intelligence (AI) evaluation; AI algorithms are more and more applied in detecting diseases.
Tugba Ari +10 more
doaj +1 more source
F1-score of prediction models by incorporating information from the last 10 days using the test set.
, 2023 F1-score of prediction models by incorporating information from the last 10 days using the test set.
Shazia Usmani (8684598) +1 more
core +1 more source
F1-score fluctuations of the MLP model per epoch.
, 2023 Background and objectiveNon-suicidal self-injury (NSSI) is a psychological disorder that the sufferer consciously damages their body tissues, often too severe that requires intensive care medicine.
Nacer Farajzadeh (15338964) +1 more
core +1 more source
F1 score and numbers of queries when each model reached the maximum F1 score.
, 2022 F1 score and numbers of queries when each model reached the maximum F1 score.
Mengmeng Zhang (1507543) +2 more
core +1 more source
Relationship between F1 score and proofreading time.
, 2023 (A) A diagram explaining the F1 score. (B) Times required for proofreading 100 × 512 × 512 voxel mitochondrial predictions with various F1 scores until the scores exceed 0.96 were measured. Note that the y-axis is presented in log scale.
Koki Nakamura (5340158) +5 more
core +1 more source
Coreference Resolution through a seq2seq Transition-Based System
Transactions of the Association for Computational Linguistics, 2023 Most recent coreference resolution systems use search algorithms over possible spans to identify mentions and resolve coreference. We instead present a coreference resolution system that uses a text-to-text (seq2seq) paradigm to predict mentions and ...
Bernd Bohnet +2 more
doaj +1 more source
F1 Score about different categories.
, 2022 F1 Score about different categories.
Liming Wang (114648) +3 more
core +1 more source
Sensitivity, precision, and F1 score calculations.
, 2022 Sensitivity, Precision, and F1 Score were calculated for Alien Index (AI) up to 40 for the proteins of the tardigrade Hypsibius exemplaris. The dashed line indicates the AI with the highest F1 score indicating the most accurate AI threshold.
Georgios D. Koutsovoulos (3263961) +4 more
core +1 more source
Analyze Informant-Based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning
IEEE Journal of Translational Engineering in Health and Medicine, 2020 Objective: This paper proposes a multiclass deep learning method for the classification of dementia using an informant-based questionnaire. Methods: A deep neural network classification model based on Keras framework is proposed in this paper.
Fubao Zhu +8 more
doaj +1 more source