Wrapper and hybrid feature selection methods using metaheuristic algorithms for English text classification: A systematic review
Feature selection (FS) constitutes a series of processes used to decide which relevant
features/attributes to include and which irrelevant features to exclude for predictive …
features/attributes to include and which irrelevant features to exclude for predictive …
[PDF][PDF] Multi-classification of Alzheimer disease on magnetic resonance images (MRI) using deep convolutional neural network (DCNN) approaches
Alzheimer's disease (AD) is the most popular cause of dementia. Dementia refers to a
continuous decline in mental ability. The developmental stages of this neuropsychiatric …
continuous decline in mental ability. The developmental stages of this neuropsychiatric …
Building energy performance prediction: A reliability analysis and evaluation of feature selection methods
The advancement of smart meters using evolving technologies such as the Internet of
Things (IoT) is producing more data for the training of energy prediction models. Since many …
Things (IoT) is producing more data for the training of energy prediction models. Since many …
Feature extractions and selection of bot detection on Twitter A systematic literature review: Feature extractions and selection of bot detection on Twitter A systematic …
R Al-azawi, O Safaa - Inteligencia Artificial, 2022 - journal.iberamia.org
Automated or semiautomated computer programs that imitate humans and/or human
behavior in online social networks are known as social bots. Users can be attacked by social …
behavior in online social networks are known as social bots. Users can be attacked by social …
A fine-tuning deep learning with multi-objective-based feature selection approach for the classification of text
Document classification is becoming increasingly essential for the vast number of
documents available in digital libraries, emails, the Internet, etc. Textual records frequently …
documents available in digital libraries, emails, the Internet, etc. Textual records frequently …
Detecting log anomaly using subword attention encoder and probabilistic feature selection
M Hariharan, A Mishra, S Ravi, A Sharma, A Tanwar… - Applied …, 2023 - Springer
Log anomaly is a manifestation of a software system error or security threat. Detecting such
unusual behaviours across logs in real-time is the driving force behind large-scale …
unusual behaviours across logs in real-time is the driving force behind large-scale …
Speech emotion recognition based on modified reliefF
GM Li, N Liu, JA Zhang - Sensors, 2022 - mdpi.com
As the key of human–computer natural interaction, the research of emotion recognition is of
great significance to the development of computer intelligence. In view of the issue that the …
great significance to the development of computer intelligence. In view of the issue that the …
Text classification based on optimization feature selection methods: a review and future directions
A substantial portion of today's multimedia data exists in the form of unstructured text.
However, the unstructured nature of text poses a significant task in meeting users' …
However, the unstructured nature of text poses a significant task in meeting users' …
Designing a hybrid dimension reduction for improving the performance of Amharic news document classification
The volume of Amharic digital documents has grown rapidly in recent years. As a result,
automatic document categorization is highly essential. In this paper, we present a novel …
automatic document categorization is highly essential. In this paper, we present a novel …
Feature Space Augmentation for Negation Handling on Sentiment Analysis
One crucial issue affecting the performance of sentiment analysis tasks is negation.
Handling negation involves determining the negation scope and negation cue. Feature …
Handling negation involves determining the negation scope and negation cue. Feature …