{"title":"Proceedings 2022 7th International Conference on Data Science and Machine Learning Applications","authors":"","doi":"10.1109/cdma54072.2022.00001","DOIUrl":null,"url":null,"abstract":"The proceedings contain 39 papers. The topics discussed include: evaluation of machine learning to early detection of highly cited papers;towards using deep reinforcement learning for better COVID-19 vaccine distribution strategies;an investigation of forecasting Tadawul all share index (TASI) using machine learning;intelligent deep detection method for malicious tampering of cancer imagery;an empirical analysis of health-related campaigns on twitter Arabic hashtags;the accuracy performance of semantic segmentation network with different backbones;a comprehensive evaluation of statistical, machine learning and deep learning models for time series prediction;depression detection in Arabic using speech language recognition;a deep learning framework for temperature forecasting;improving relevance in a recommendation system to suggest charities without explicit user profiles using dual-autoencoders;and the impact of feature selection on different machine learning models for breast cancer classification.","PeriodicalId":313042,"journal":{"name":"2022 7th International Conference on Data Science and Machine Learning Applications (CDMA)","volume":"348 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Data Science and Machine Learning Applications (CDMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/cdma54072.2022.00001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The proceedings contain 39 papers. The topics discussed include: evaluation of machine learning to early detection of highly cited papers;towards using deep reinforcement learning for better COVID-19 vaccine distribution strategies;an investigation of forecasting Tadawul all share index (TASI) using machine learning;intelligent deep detection method for malicious tampering of cancer imagery;an empirical analysis of health-related campaigns on twitter Arabic hashtags;the accuracy performance of semantic segmentation network with different backbones;a comprehensive evaluation of statistical, machine learning and deep learning models for time series prediction;depression detection in Arabic using speech language recognition;a deep learning framework for temperature forecasting;improving relevance in a recommendation system to suggest charities without explicit user profiles using dual-autoencoders;and the impact of feature selection on different machine learning models for breast cancer classification.