Ara
Toplam kayıt 216, listelenen: 211-216
An empirical study of sentiment analysis utilizing machine learning and deep learning algorithms
(SPRINGER, 2023)
Among text-mining studies, one of the most studied topics is the text classifcation
task applied in various domains, including medicine, social media, and academia.
As a sub-problem in text classifcation, sentiment ...
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis
(Institute of Electrical and Electronics Engineers Inc., 2023)
High throughput -omics technologies facilitate the
investigation of regulatory mechanisms of complex diseases.
Along this line, scientists develop promising tools and methods
to extend our understanding at the molecular ...
Review of feature selection approaches based on grouping of features
(PeerJ Inc., 2023)
With the rapid development in technology, large amounts of high-dimensional data have been generated. This high dimensionality including redundancy and irrelevancy poses a great challenge in data analysis and decision ...
A Computational Drug Repositioning Effort using Patients' Reviews Dataset
(Institute of Electrical and Electronics Engineers Inc., 2023)
The drug discovery process is one of the core
motivations in both medical and, specifically, pharmaceutical
disciplines. Due to the nature of the process, it requires an
excessive amount of time, clinical experiments, ...
Contextual Multi-Armed Bandit based Beam Allocation in mmWave V2X Communication under Blockage
(Institute of Electrical and Electronics Engineers Inc., 2023)
Due to its low latency and high data rates support,
mmWave communication has been an important player for vehicular communication. However, this carries some disadvantages
such as lower transmission distances and inability ...
A Transfer Learning Application on the Reliability of Psychological Drugs' Comments
(Institute of Electrical and Electronics Engineers Inc., 2023)
As digitalization and the Internet stay emerging
concepts by gaining popularity, the accuracy of personal reviews/opinions will be a critical issue. This circumstance also
particularly applies to patients taking psychological ...