Results 31 to 40 of about 3,188,697 (327)

BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining [PDF]

Briefings Bioinform., 2022
Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domain, i.
Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu   +6 more
semanticscholar   +1 more source

AVILNet: A New Pliable Network with a Novel Metric for Small-Object Segmentation and Detection in Infrared Images

Remote Sensing, 2021
Infrared small-object segmentation (ISOS) has a persistent trade-off problem—that is, which came first, recall or precision? Constructing a fine balance between of them is, au fond, of vital importance to obtain the best performance in real applications,
Ikhwan Song, Sungho Kim
doaj   +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, Hande Sağlam, Hasan Öksüzoğlu, Orhan Kazan, İbrahim Şevki Bayrakdar, Suayip Burak Duman, Özer Çelik, Rohan Jagtap, Karolina Futyma-Gąbka, Ingrid Różyło-Kalinowska, Kaan Orhan   +10 more
doaj   +1 more source

Data augmentation and semi-supervised learning for deep neural networks-based text classifier [PDF]

, 2020
User feedback is essential for understanding user needs. In this paper, we use free-text obtained from a survey on sleep-related issues to build a deep neural networks-based text classifier.
Devlin Jacob, Lee Dong-Hyun, Liu Yinhan, Sorower Mohammad S, Wei Jason W, Wu Yuxiang   +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, Chris Alberti, Michael Collins   +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, Xiaonan Li, Daniel Mcgonigle, Haipeng Tang, Zhuo He, Chaoyang Zhang, Guang-Uei Hung, Pai-Yi Chiu, Weihua Zhou   +8 more
doaj   +1 more source

Automated Drone Detection Using YOLOv4

Drones, 2021
Drones are increasing in popularity and are reaching the public faster than ever before. Consequently, the chances of a drone being misused are multiplying.
Subroto Singha, Burchan Aydin
doaj   +1 more source

The Matthews Correlation Coefficient (MCC) is More Informative Than Cohen’s Kappa and Brier Score in Binary Classification Assessment

IEEE Access, 2021
Even if measuring the outcome of binary classifications is a pivotal task in machine learning and statistics, no consensus has been reached yet about which statistical rate to employ to this end.
D. Chicco, M. Warrens, Giuseppe Jurman
semanticscholar   +1 more source

Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation

JMIR Medical Informatics, 2020
BackgroundEmerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors on ...
Kasthurirathne, Suranga N, Grannis, Shaun, Halverson, Paul K, Morea, Justin, Menachemi, Nir, Vest, Joshua R   +5 more
doaj   +1 more source

Predicting the Law Area and Decisions of French Supreme Court Cases [PDF]

, 2017
In this paper, we investigate the application of text classification methods to predict the law area and the decision of cases judged by the French Supreme Court.
Sulea, Octavia-Maria, van Genabith, Josef, Vela, Mihaela, Zampieri, Marcos   +3 more
core   +2 more sources