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31صورة
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 الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s007Test
https://figshare.com/articles/figure/Complete_Spearman_correlations_between_MFT_traits_and_lyrics_features_top_and_middle_panels_and_high-level_music_attributes_bottom_panel_/24661184Test -
32صورة
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 الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s008Test
https://figshare.com/articles/figure/Complete_Spearman_correlations_between_MFT_traits_and_timbre_features_/24661190Test -
33صورة
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 الإتاحة: https://doi.org/10.1371/journal.pone.0294402.g002Test
https://figshare.com/articles/figure/Significant_Spearman_correlations_i_ps_i_5_3_x_10_sup_5_sup_for_Individualising_moral_foundations_/24661199Test -
34صورة
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/figure/Feature_importance_for_Binding_moral_foundations_/24661208Test
الإتاحة: https://doi.org/10.1371/journal.pone.0294402.g005Test
https://figshare.com/articles/figure/Feature_importance_for_Binding_moral_foundations_/24661208Test -
35
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/dataset/Best_models_for_predicting_moral_foundations_/24661214Test
الإتاحة: https://doi.org/10.1371/journal.pone.0294402.t002Test
https://figshare.com/articles/dataset/Best_models_for_predicting_moral_foundations_/24661214Test -
36صورة
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 الإتاحة: https://doi.org/10.1371/journal.pone.0294402.g003Test
https://figshare.com/articles/figure/Significant_Spearman_correlations_i_ps_i_5_3_x_10_sup_5_sup_for_Binding_moral_foundations_/24661202Test -
37صورة
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 الإتاحة: https://doi.org/10.1371/journal.pone.0294402.g004Test
https://figshare.com/articles/figure/Feature_importance_for_Individualising_moral_foundations_/24661205Test -
38
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 الإتاحة: https://doi.org/10.1371/journal.pone.0294402.t001Test
https://figshare.com/articles/dataset/LDA_lyrics_topics_with_example_songs_/24661211Test -
39مؤتمر
المؤلفون: Dyrvold, Anneli
المساهمون: Umeå University, Sweden
المصدر: CERME 10 ; https://hal.archives-ouvertes.fr/hal-01937132Test ; CERME 10, Feb 2017, Dublin, Ireland
مصطلحات موضوعية: Mathematics tasks, reading, solving, textual features, [MATH]Mathematics [math], [SHS]Humanities and Social Sciences
العلاقة: hal-01937132; https://hal.archives-ouvertes.fr/hal-01937132Test; https://hal.archives-ouvertes.fr/hal-01937132/documentTest; https://hal.archives-ouvertes.fr/hal-01937132/file/TWG09_23.pdfTest
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40دورية أكاديمية
المؤلفون: Evgeniya Aleksandrovna Shovgenina
المصدر: Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie, Vol 29, Iss 5, Pp 127-132 (2015)
مصطلحات موضوعية: investment guide, linguapragmatic approach, linguistic means of developing investment attractiveness, discourse and intra-textual features, genre building characteristics, pragmatics of translation., Language and Literature
وصف الملف: electronic resource
