Results 11 to 20 of about 197,388 (314)
Hate Speech Classifiers Learn Normative Social Stereotypes [PDF]
Social stereotypes negatively impact individuals’ judgments about different groups and may have a critical role in understanding language directed toward marginalized groups.
Aida Mostafazadeh Davani +3 more
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Sentiment Analysis of Emirati Dialect
Recently, extensive studies and research in the Arabic Natural Language Processing (ANLP) field have been conducted for text classification and sentiment analysis. Moreover, the number of studies that target Arabic dialects has also increased.
Arwa A. Al Shamsi, Sherief Abdallah
doaj +1 more source
Application of Machine Learning Methods for Pallet Loading Problem
Because of continuous competition in the corporate industrial sector, numerous companies are always looking for strategies to ensure timely product delivery to survive against their competitors.
Batin Latif Aylak +6 more
doaj +1 more source
Evolutionary design of nearest prototype classifiers [PDF]
In pattern classification problems, many works have been carried out with the aim of designing good classifiers from different perspectives. These works achieve very good results in many domains.
Isasi, Pedro +2 more
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Artificial Intelligence, Machine Learning, and Big Data for Ebola Virus Drug Discovery
The effect of Ebola virus disease (EVD) is fatal and devastating, necessitating several efforts to identify potent biotherapeutic molecules. This review seeks to provide perspectives on complementing existing work on Ebola virus (EBOV) by discussing the ...
Samuel K. Kwofie +6 more
doaj +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sanjay Jain 0001 +2 more
openaire +1 more source
Using online linear classifiers to filter spam Emails [PDF]
The performance of two online linear classifiers - the Perceptron and Littlestone’s Winnow – is explored for two anti-spam filtering benchmark corpora - PU1 and Ling-Spam.
Jones, Gareth J.F. +2 more
core +1 more source
Detection of Myocardial Infarction Using ECG and Multi-Scale Feature Concatenate
Diverse computer-aided diagnosis systems based on convolutional neural networks were applied to automate the detection of myocardial infarction (MI) found in electrocardiogram (ECG) for early diagnosis and prevention.
Jia-Zheng Jian +6 more
doaj +1 more source
In recent years, the rapid development of sensors and information technology has made it possible for machines to recognize and analyze human emotions. Emotion recognition is an important research direction in various fields.
Yujian Cai, Xingguang Li, Jinsong Li
doaj +1 more source
Wavelet and kernel dimensional reduction on arrhythmia classification of ECG signals [PDF]
Electrocardiogram (ECG) monitoring is continuously required to detect cardiac ailments. At times it is challenging tointerpret the differences in the P- QRS-T curve.
Ritu Singh, Navin Rajpal, Rajesh Mehta
doaj +1 more source

