المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Model_significance_ANOVA_between_all_and_best_feature_models_/24661172Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s004Test
https://figshare.com/articles/journal_contribution/Model_significance_ANOVA_between_all_and_best_feature_models_/24661172Test

المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis

مصطلحات موضوعية: Neuroscience, Sociology, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, top 5 songs, song &# 8217, meet individual needs, machine learning approach, facebook page likes, used basic features, acoustic features separately, +music%22">xlink "> music, linking music preferences, participants &# 8217, likes per user, level audio features, audio features boosted, predicting moral values, capturing moral values, lyrics features obtained, preferred music artists, higher prediction scores, audio , audio features, moral values, textual features, music rehabilitation, music experience

العلاقة: https://figshare.com/articles/journal_contribution/Complete_classification_results_/24661166Test

الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s003Test
https://figshare.com/articles/journal_contribution/Complete_classification_results_/24661166Test

المؤلفون: Przylipiak, Mirosław

المصدر: Panoptikum; No. 29 (2023): New Approaches to Documentary; 11-38 ; Panoptikum; Nr 29 (2023): New Approaches to Documentary; 11-38 ; 1730-7775

مصطلحات موضوعية: documentary cinema, definitions, specifity, textual features, working on the set

وصف الملف: application/pdf

العلاقة: https://czasopisma.bg.ug.edu.pl/index.php/panoptikum/article/view/8916/7934Test; https://czasopisma.bg.ug.edu.pl/index.php/panoptikum/article/view/8916Test

الإتاحة: https://doi.org/10.26881/pan.2023.29.01Test
https://czasopisma.bg.ug.edu.pl/index.php/panoptikum/article/view/8916Test

المؤلفون: König, Alexandra, Tröger, Johannes, Mallick, Elisa, Mina, Mario, Linz, Nicklas, Wagnon, Carole, Karbach, Julia, Kuhn, Caroline, Peter, Jessica

المساهمون: Spatio-Temporal Activity Recognition Systems (STARS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

المصدر: ISSN: 1471-244X ; BMC Psychiatry ; https://hal.science/hal-03968260Test ; BMC Psychiatry, 2022, 22, ⟨10.1186/s12888-022-04475-0⟩.

مصطلحات موضوعية: Depressive symptoms Automated speech analysis Acoustic features Textual features Machine learning, Depressive symptoms, Automated speech analysis, Acoustic features, Textual features, Machine learning, [SCCO]Cognitive science

العلاقة: hal-03968260; https://hal.science/hal-03968260Test; https://hal.science/hal-03968260/documentTest; https://hal.science/hal-03968260/file/Koenig2022-BMC.pdfTest

الإتاحة: https://doi.org/10.1186/s12888-022-04475-0Test
https://hal.science/hal-03968260Test
https://hal.science/hal-03968260/documentTest
https://hal.science/hal-03968260/file/Koenig2022-BMC.pdfTest

المؤلفون: Mengyao Jiang, Zuyue Zhang, Li Kang, Jing Liao, Shumin Wang, Yalan Lv, Xiaoyu Zhou, Xiaorong Hou

المصدر: Frontiers in Psychology, Vol 13 (2022)

مصطلحات موضوعية: mental health, textual features, risk preference, emotional polarity, teenager students, Psychology, BF1-990

وصف الملف: electronic resource

العلاقة: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.911955/fullTest; https://doaj.org/toc/1664-1078Test

الوصول الحر: https://doaj.org/article/1b17d7a1857b4c85a1d70b444f2cec46Test

المؤلفون: Ziyan Zhang, Zhiping Dan, Fangmin Dong, Zhun Gao, Yanke Zhang

المصدر: Information; Volume 13; Issue 8; Pages: 388

مصطلحات موضوعية: rumor detection, adaptive gate, statistical features, textual features

وصف الملف: application/pdf

العلاقة: Artificial Intelligence; https://dx.doi.org/10.3390/info13080388Test

الإتاحة: https://doi.org/10.3390/info13080388Test

المؤلفون: Rastogi Ajay, Mehrotra Monica, Ali Syed Shafat

المصدر: Journal of Data and Information Science, Vol 5, Iss 2, Pp 76-110 (2020)

مصطلحات موضوعية: opinion spam, behavioral features, textual features, review spammers, spam-targeted products, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2543-683XTest

الوصول الحر: https://doaj.org/article/d687ba5be27c442aa1061a597f50df1fTest

المؤلفون: Ngoc-Huynh Ho, Hyung-Jeong Yang, Soo-Hyung Kim, Gueesang Lee

المصدر: IEEE Access, Vol 8, Pp 61672-61686 (2020)

مصطلحات موضوعية: Speech emotion recognition, multi-level multi-head fusion attention, RNN, audio features, textual features, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9050806Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/63cdbe69764746259122fabe473948feTest

المؤلفون: Salah Bouktif, Ali Fiaz, Mamoun Awad

المصدر: IEEE Access, Vol 8, Pp 40269-40282 (2020)

مصطلحات موضوعية: Machine learning, model stacking, sentiment analysis, stock movement direction prediction, textual features extraction, tweets mining, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9016182Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/87f86d3f962d457a982098d27cd67f67Test

المؤلفون: Shahid Iqbal, Rashid Naseem, Salman Jan, Sami Alshmrany, Muhammad Yasar, Arshad Ali

المصدر: IEEE Access, Vol 8, Pp 215661-215678 (2020)

مصطلحات موضوعية: Quality software, bugs, textual features, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9253611Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/6e1c94f4fb464c15af7c97a411dbcc74Test