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1دورية أكاديمية
المؤلفون: Shahla Nemati, Reza Salehi Chegani
المصدر: International Journal of Information and Communication Technology Research, Vol 16, Iss 1, Pp 42-54 (2024)
مصطلحات موضوعية: medical reviews, online doctor reviews, persian sentiment analysis, bi-lingual sentiment analysis, deep learning, evolutionary optimization, Information technology, T58.5-58.64, Telecommunication, TK5101-6720, Electronic computers. Computer science, QA75.5-76.95
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Jessica A Lee, Siavash Riazi, Shahla Nemati, Jannell V Bazurto, Andreas E Vasdekis, Benjamin J Ridenhour, Christopher H Remien, Christopher J Marx
المصدر: PLoS Genetics, Vol 19, Iss 4, p e1010714 (2023)
وصف الملف: electronic resource
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3دورية أكاديمية
المؤلفون: Shahla Nemati, Abhyudai Singh, Scott D. Dhuey, Armando McDonald, Daniel M. Weinreich, Andreas. E. Vasdekis
المصدر: Communications Biology, Vol 5, Iss 1, Pp 1-10 (2022)
مصطلحات موضوعية: Biology (General), QH301-705.5
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2399-3642
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4دورية أكاديمية
المؤلفون: Mohammad Ehsan Basiri, Shirin Habibi, Shahla Nemati
المصدر: مطالعات مدیریت کسب و کار هوشمند, Vol 10, Iss 37, Pp 109-134 (2021)
مصطلحات موضوعية: corona virus, covid-19, sentiment analysis, opinion mining, deep neural network, Business, HF5001-6182
وصف الملف: electronic resource
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5دورية أكاديمية
المؤلفون: Shahla Nemati, Reza Rohani, Mohammad Ehsan Basiri, Moloud Abdar, Neil Y. Yen, Vladimir Makarenkov
المصدر: IEEE Access, Vol 7, Pp 172948-172964 (2019)
مصطلحات موضوعية: Affective computing, emotion recognition, latent space model, multimodal fusion, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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6دورية أكاديمية
المؤلفون: Jessica A Lee, Siavash Riazi, Shahla Nemati, Jannell V Bazurto, Andreas E Vasdekis, Benjamin J Ridenhour, Christopher H Remien, Christopher J Marx
المصدر: PLoS Genetics, Vol 15, Iss 11, p e1008458 (2019)
وصف الملف: electronic resource
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7
المساهمون: School of Computer Science and Engineering
المصدر: Future Generation Computer Systems. 115:279-294
مصطلحات موضوعية: Artificial neural network, Computer Networks and Communications, business.industry, Computer science, Feature vector, Deep learning, Pooling, Sentiment analysis, Feature extraction, 020206 networking & telecommunications, Pattern recognition, 02 engineering and technology, Convolutional neural network, Deep Learning, Hardware and Architecture, Sentiment Analysis, 0202 electrical engineering, electronic engineering, information engineering, Computer science and engineering [Engineering], 020201 artificial intelligence & image processing, Artificial intelligence, business, Software, Curse of dimensionality
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8
المؤلفون: Gholamreza Shams, Seyed Morteza Hatefi, Shahla Nemati
المصدر: Scientia Iranica.
مصطلحات موضوعية: General Engineering
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::18bf92714ac5ea5b9b73cf8dd973f8a1
https://doi.org/10.24200/sci.2022.56162.4580 -
9
المصدر: 2021 7th International Conference on Web Research (ICWR).
مصطلحات موضوعية: Range (mathematics), Modalities, Information retrieval, Computer science, business.industry, Deep learning, Sentiment analysis, Social media, Artificial intelligence, business, Convolutional neural network, Complement (set theory), Image (mathematics)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::996654223edcd299d40346156cd48c53
https://doi.org/10.1109/icwr51868.2021.9443026 -
10
المؤلفون: Shahla Nemati, Masoumeh Rajabi, Mohammad Ehsan Basiri
المصدر: 2021 7th International Conference on Web Research (ICWR).
مصطلحات موضوعية: Artificial neural network, Computer science, business.industry, media_common.quotation_subject, Deep learning, Machine learning, computer.software_genre, Support vector machine, Naive Bayes classifier, Task (computing), Dimension (vector space), Quality (business), Language model, Artificial intelligence, business, computer, media_common
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b28bf505af02979b03fd2db8d48da38b
https://doi.org/10.1109/icwr51868.2021.9443143