Results 31 to 40 of about 331,795 (188)

Semi-supervised incremental learning with few examples for discovering medical association rules

BMC Medical Informatics and Decision Making, 2022
Background Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very useful in the
Ricardo Sánchez-de-Madariaga, Juan Martinez-Romo, José Miguel Cantero Escribano, Lourdes Araujo   +3 more
doaj   +1 more source

Self-organization of the stock exchange to the edge of a phase transition: empirical and theoretical studies

Frontiers in Physics
Our study is based on the hypothesis that stock exchanges, being nonlinear, open and dissipative systems, are capable of self-organization to the edge of a phase transition.
Andrey Dmitriev, Andrey Dmitriev, Andrey Lebedev, Vasily Kornilov, Victor Dmitriev   +4 more
doaj   +1 more source

Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents

Information, 2019
Recent deep learning approaches have shown promising results for named entity recognition (NER). A reasonable assumption for training robust deep learning models is that a sufficient amount of high-quality annotated training data is available.
Sumam Francis, Jordy Van Landeghem, Marie-Francine Moens   +2 more
doaj   +1 more source

Text Filtering through Multi-Pattern Matching: A Case Study of Wu–Manber–Uy on the Language of Uyghur

Information, 2019
Given its generality in applications and its high time-efficiency on big data-sets, in recent years, the technique of text filtering through pattern matching has been attracting increasing attention from the field of information retrieval and Natural ...
Turdi Tohti, Jimmy Huang, Askar Hamdulla, Xing Tan   +3 more
doaj   +1 more source

Assessing the Spectral Information of Sentinel-1 and Sentinel-2 Satellites for Above-Ground Biomass Retrieval of a Tropical Forest [PDF]

, 2022
Dimitris Stratoulias, Narissara Nuthammachot, Tanita Suepa, Khamphe Phoungthong   +3 more
openalex   +1 more source

An efficient long-text semantic retrieval approach via utilizing presentation learning on short-text

Complex & Intelligent Systems, 2023
Although the short-text retrieval model by BERT achieves significant performance improvement, research on the efficiency and performance of long-text retrieval still faces challenges.
Junmei Wang, Jimmy X. Huang, Jinhua Sheng   +2 more
doaj   +1 more source

Users' Perceived Difficulties and Corresponding Reformulation Strategies in Google Voice Search [PDF]

Journal of Library and Information Studies, 2016
In this article, we report users’ perceptions of query input errors and query reformulation strategies in voice search using data collected through a laboratory user study.
Wei Jeng, Jiepu Jiang, Daqing He
doaj   +1 more source

An ECC with error detection and against side channel attacks for resource constrained devices

Journal of King Saud University: Computer and Information Sciences
As more devices are integrated into the Internet of Things (IoT) ecosystem, accurate and efficient information transmission between resource-constrained equipment has become particularly important.
Jun Ye, Zewen Yang
doaj   +1 more source

Species Distribution Modelling via Feature Engineering and Machine Learning for Pelagic Fishes in the Mediterranean Sea

Applied Sciences, 2020
In this work a fish species distribution model (SDM) was developed, by merging species occurrence data with environmental layers, with the scope to produce high resolution habitability maps for the whole Mediterranean Sea.
Dimitrios Effrosynidis, Athanassios Tsikliras, Avi Arampatzis, Georgios Sylaios   +3 more
doaj   +1 more source

Explainable self-supervised learning for medical image diagnosis based on DINO V2 model and semantic search

Scientific Reports
Medical images have become indispensable for decision-making and significantly affect treatment planning. However, increasing medical imaging has widened the gap between medical images and available radiologists, leading to delays and diagnosis errors ...
Alaa Hussien, Abdelkareem Elkhateb, Mai Saeed, Nourhan M. Elsabawy, Alaa Ebraheem Elnakeeb, Nora Elrashidy   +5 more
doaj   +1 more source