Results 91 to 100 of about 110,130 (282)

Retracted: Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets. [PDF]

Appl Bionics Biomech, 2023
And Biomechanics AB.
europepmc   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Deep learning based model for computing percentage of fake in user reviews using topic modelling techniques

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Sentiment analysis plays a vital role in real time environment for knowing the history of a product or any other specific entity. Due to large number of users in the www, chances are there that many fake users may upload the fake reviews to damage the ...
Sanjay K S, Ajit Danti, T. Snehitha Reddy, Vijay Nath   +3 more
doaj   +1 more source

Fake reviews on online platforms: perspectives from the US, UK and EU legislations. [PDF]

SN Soc Sci, 2021
Martínez Otero JM.
europepmc   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets. [PDF]

Appl Bionics Biomech, 2021
Alsubari SN, Deshmukh SN, Al-Adhaileh MH, Alsaade FW, Aldhyani THH.   +4 more
europepmc   +1 more source

Identifying Fake Product Reviews

, 2022
Fake review detection can help us determine if a product review is real or false. Different methods can be used to achieve this, but we will focus on getting the result using machine learning methods. Our approach focuses on the content of the user review text.
openaire   +1 more source

Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz, Ryan Cooper, Stefania Kaninia, Kathryn I. Challis, Will Greenway, Maria Bonello, Mahmoud Elbahnasawi, Deborah T. Shode, Dominika Gajdasik, Victor Iliev, Alison M. E. Whitelegg, Ian Galea   +11 more
wiley   +1 more source

Detecting Fake Reviews in E-Commerce: A Case Study on Shopee Using Support Vector Machine and Random Forest

Journal of Applied Informatics and Computing
The increasing popularity of online shopping, particularly on platforms such as Shopee, has made product reviews a significant factor influencing consumer purchasing decisions.
Khoirotulmuadiba Purifyregalia, Khothibul Umam, Nur Cahyo Hendro Wibowo, Maya Rini Handayani   +3 more
doaj   +1 more source

Fake Review Detection Based on Residual Networks Fusion of Multi-relationship Review Features [PDF]

Jisuanji kexue
With the rise of e-commerce and short video community platforms,the emergence of fake reviews has seriously affected user experience.Even to combat platform detection,review camouflage makes it harder to distinguish between true and false.Current fake ...
LUO Zeyang, TIAN Hua, DOU Yingtong, LI Manwen, ZHANG Zehua
doaj   +1 more source