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1
المؤلفون: Peter Covens, Lara Struelens, Vicky Caveliers, Clarita Saldarriaga Vargas, Matthias D'Huyvetter
المساهمون: Supporting clinical sciences, Faculty of Medicine and Pharmacy, Medical Imaging, Nuclear Medicine, UZB Other
مصطلحات موضوعية: micro-SPECT, kidney, Radiation, accuracy, business.industry, activity quantification, Biomedical Engineering, Computational biology, mouse-specific pharmacokinetics, single-domain antibody fragment, Activity measurements, Text mining, Pharmacokinetics, HER2, Medicine, Radiology, Nuclear Medicine and imaging, business, Instrumentation
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47ed5250aff7920cd81ed322c4f045c2Test
https://hdl.handle.net/20.500.14017/0ea3e60e-f877-46ea-9acb-f2502f65d219Test -
2
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3مؤتمر
المؤلفون: Lima, Luciana, Portela, Filipe, Santos, Manuel Filipe, Abelha, António, Machado, José Manuel
مصطلحات موضوعية: Text Mining, Stock Prediction, Big Data, Science & Technology
وصف الملف: application/pdf
العلاقة: http://hdl.handle.net/1822/36613Test
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4دورية أكاديمية
المساهمون: Peterson, Gilbert, Shenoi, Sujeet
المصدر: Aboluwarin , O , Andriotis , P , Takasu , A & Tryfonas , T 2016 , Optimizing Short Message Text Sentiment Analysis for Mobile Device Forensics . in G Peterson & S Shenoi (eds) , Advances in Digital Forensics XII : 12th IFIP WG 11.9 International Conference, New Delhi, January 4-6, 2016, Revised Selected Papers . vol. 2 , IFIP Advances in Information and Communication Technology , vol. 484 , Springer International Publishing AG , pp. 69-87 , Twelfth IFIP WG 11.9 International Conference on Digital Forensics , New Delhi , India , 4/01/16 . https://doi.org/10.1007/978-3-319-46279-0_4Test
مصطلحات موضوعية: Sentiment analysis, text mining, SMS, Twitter, normalization
وصف الملف: application/pdf
العلاقة: https://research-information.bris.ac.uk/en/publications/242e460b-6231-45bf-88f7-583ff019ed65Test; urn:ISBN:978-3-319-46278-3
الإتاحة: https://doi.org/10.1007/978-3-319-46279-0_4Test
https://hdl.handle.net/1983/242e460b-6231-45bf-88f7-583ff019ed65Test
https://research-information.bris.ac.uk/en/publications/242e460b-6231-45bf-88f7-583ff019ed65Test
https://research-information.bris.ac.uk/ws/files/100087044/Tryfonas_T_Optimizing_short_message_text_sentiment_analysis.pdfTest -
5دورية أكاديمية
المؤلفون: Bremer, Vincent, Becker, Dennis, Genz, Tobias, Funk, Burkhardt, Lehr, Dirk
المساهمون: Brefeld, Ulf, Curry, Edward, Daly, Elizabeth, MacNamee, Brian, Marascu, Alice, Pinelli, Fabio, Berlingerio, Michele, Hurley, Neil
المصدر: Bremer , V , Becker , D , Genz , T , Funk , B & Lehr , D 2019 , A two-step approach for the prediction of mood levels based on diary data . in U Brefeld , E Curry , E Daly , B MacNamee , A Marascu , F Pinelli , M Berlingerio & N Hurley (eds) , Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings : European Conference, ECML PKDD 2018, Dublin, Ireland . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes ....
مصطلحات موضوعية: /dk/atira/pure/core/keywords/547106742, Business informatics, Text-mining, Ordinal logit, Diary data
الإتاحة: https://doi.org/10.1007/978-3-030-10997-4_39Test
http://fox.leuphana.de/portal/de/publications/a-twostep-approach-for-the-prediction-of-mood-levels-based-on-diary-dataTest(b51b9fce-50f5-409a-9a33-d630147de3c9).html
http://www.scopus.com/inward/record.url?scp=85061126286&partnerID=8YFLogxKTest -
6
المؤلفون: Hermann Kreyenberg, Gert J. Ossenkoppele, Peter Bader
المساهمون: Hematology, CCA - Cancer biology and immunology, CCA - Imaging and biomarkers, CCA - Cancer Treatment and quality of life
المصدر: Bader, P, Kreyenberg, H & Ossenkoppele, G 2018, Monitoring Minimal Residual Disease in ALL and AML . in The EBMT Handbook : Hematopoietic Stem Cell Transplantation and Cellular Therapies . Springer International Publishing AG, pp. 431-436 . https://doi.org/10.1007/978-3-030-02278-5_57Test
The EBMT Handbook ISBN: 9783030022778
The EBMT Handbook: Hematopoietic Stem Cell Transplantation and Cellular Therapies, 431-436
STARTPAGE=431;ENDPAGE=436;TITLE=The EBMT Handbookمصطلحات موضوعية: Oncology, medicine.medical_specialty, Treatment response, Text mining, business.industry, hemic and lymphatic diseases, Internal medicine, medicine, MEDLINE, business, Independent predictor, Minimal residual disease
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd16a7cc67facbcb7d9f3d7aa2e85f73Test
https://research.vumc.nl/en/publications/e899a3ce-088f-472a-ac03-344dec192958Test -
7مؤتمر
المؤلفون: Rodrigues, Rúben, Costa, Hugo Samuel Oliveira, Rocha, Miguel
مصطلحات موضوعية: Biomedical text mining, Named entity recognition, Machine learning, Ciências Naturais::Ciências Biológicas, Engenharia e Tecnologia::Biotecnologia Industrial, Science & Technology
وصف الملف: application/pdf
العلاقة: http://link.springer.com/book/10.1007/978-3-319-40126-3Test; Rodrigues, Rúben; Hugo Costa; Rocha, Miguel, Development of a machine learning framework for biomedical text mining. In Mohd Saberi Mohamad, Miguel P. Rocha, Florentino Fdez-Riverola, Francisco J. Domínguez Mayo, Juan F. De Paz, 10th International Conference on Practical Applications of Computational Biology & Bioinformatics, Vol. Advances in Intelligent Systems and Computing 477, Switzerland: Springer International Publishing, 2016. ISBN: 978-3-319-40125-6, 41-49; http://hdl.handle.net/1822/44787Test
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8مؤتمر
المؤلفون: Pereira, Tiago Rui Carvalho e, Santos, Henrique
مصطلحات موضوعية: Health care decision support system, Health care knowledge security, Health care knowledge sensitivity, Information retrieval, Knowledge management, Ontology, Text mining, Topic models, Ciências Naturais::Ciências da Computação e da Informação, Science & Technology
وصف الملف: application/pdf
العلاقة: http://link.springer.com/chapter/10.1007/978-3-319-19656-5_37Test; Pereira, T., & Santos, H. (2015). Child Abuse Monitor System Model: A Health Care Critical Knowledge Monitor System. In Internet of Things. User-Centric IoT (pp. 255-261). Springer International Publishing; https://hdl.handle.net/1822/39211Test
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9
المؤلفون: António Abelha, José Machado, Luciana Lima, Manuel Filipe Santos, Filipe Portela
المساهمون: Universidade do Minho
المصدر: New Contributions in Information Systems and Technologies ISBN: 9783319164854
WorldCIST (1)مصطلحات موضوعية: Stock Prediction, Big Data, Science & Technology, business.industry, Text Mining, High velocity, Big data, Stock prediction, Data science, Stock price, Statistical classification, Stock exchange, Econometrics, Stock market, Business, Stock (geology)
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0da0dfb8fd8a01fe65997cd58df2b62Test
https://hdl.handle.net/1822/36613Test