Results 41 to 50 of about 201,162 (313)
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
Thresholding Classifiers to Maximize F1 Score
, 2014 This paper provides new insight into maximizing F1 scores in the context of binary classification and also in the context of multilabel classification. The harmonic mean of precision and recall, F1 score is widely used to measure the success of a binary classifier when one class is rare.
Lipton, Zachary Chase +2 more
openaire +2 more sources
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
Mean F1 score and collective detection performance.
, 2022 Left. Mean F1 score over the whole image dataset depending on the size of the group of players and quorum. Each combination of group size and quorum was tested 160 times through random selection of gameplays of each image. Right.
Lara García Delgado (12569093) +13 more
core +1 more source
The Macro-F1 score of the models.
, 2022 The Macro-F1 score of the models.
Yajun Zhang (1543207) +3 more
core +1 more source
JOIV: International Journal on Informatics VisualizationThis study focuses on developing an algorithm that accurately calculates the volume of vehicles passing through a busy crossroads in Indonesia using object recognition.
Abdul Haris Rangkuti, Varyl Hasbi Athala
doaj +1 more source
Machine learning approaches for anomaly detection of water quality on a real-world data set
Journal of Information and Telecommunication, 2019 Accurate detection of water quality changes is a crucial task of water companies. Water supply companies must provide safe drinking water. Nowadays in different areas, we find sensible sensors which monitor data during the time.
Fitore Muharemi +2 more
doaj +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
HHSD: Hindi Hate Speech Detection Leveraging Multi-Task Learning
IEEE Access, 2023 Hate speech is now a frequent occurrence on social media. Recently, the majority of study was devoted to identifying hate speech in languages with abundant resources (e.g., English).
Prashant Kapil +5 more
doaj +1 more source
Comparison of F1-score between different methods.
, 2022 Comparison of F1-score between different methods.
Qian Liu (135614), Xiyu Liu (1700959)
core +1 more source