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Classifying online corporate reputation with machine learning: a study in the banking domain
Published 2019“…The purpose of this paper is to develop a classification framework and machine learning model to overcome these limitations.…”
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COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers
Published 2022“…As a result, social media platforms have always had a difficult time authenticating this fake information. Different machine learning (ML) and deep learning (DL) classifiers were used in this work to categorize the continuing impacts of tweets and forecast their after-effects. …”
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Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier
Published 2021“…<div><p>Machine learning (ML)-based prediction is considered an important technique for improving decision making during the planning process. …”
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022Subjects: Get full text
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Machine Learning Techniques for Pharmaceutical Bioinformatics
Published 2018“…A predictive model is developed to predict drug indication as well as to predict new DDIs using multiple machine learning algorithms. This dissertation presents a case study of predicted anti-cancer activity for 38 drugs. …”
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Deep Learning for Arabic Error Detection and Correction
Published 2020Subjects: “…CCS Concepts: • Computing methodologies → Machine learning; Machine learning approaches; Neural networks; Additional Key Words and Phrases: Error detection, error correction, bidirectional long short-term memory, word embedding, polynomial network classifier…”
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Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose
Published 2020“…These electronic instruments rely on Machine Learning (ML) algorithms for recognizing the sensed odors. …”
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Arabic Sentiment Analysis using Machine Learning
Published 2016“…The research showed that through parameter optimization, basic machine learning classifiers achieved higher results than other more complex hybrid approaches, in addition, the overall parameters settings were tested on two new datasets and provided very promising results indicating that performance weren’t as a cause of overfitting. …”
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Android Malware Detection Using Machine Learning
Published 2024“…In this work, several machine learning algorithms were utilized, namely k-Nearest neighbor (KNN), Decision Trees (DT), Naive Bayes (NB), Support Vector Machine (SVM) and other ensemble classifiers including Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM) and CatBoost. …”
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Malicious URL and Intrusion Detection using Machine Learning
Published 2024“…The purpose of this paper is to use machine learning (ML) techniques for malicious websites detection and classification, and intrusion detection. …”
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Using machine learning for disease detection. (c2013)
Published 2016Get full text
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