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1دورية أكاديمية
المؤلفون: Giordano Paoletti, Lorenzo Dall’Amico, Kyriaki Kalimeri, Jacopo Lenti, Yelena Mejova, Daniela Paolotti, Michele Starnini, Michele Tizzani
المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
وصف الملف: electronic resource
العلاقة: https://doaj.org/toc/2045-2322Test
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2دورية أكاديمية
المؤلفون: Jacopo Lenti, Yelena Mejova, Kyriaki Kalimeri, André Panisson, Daniela Paolotti, Michele Tizzani, Michele Starnini
المصدر: JMIR Infodemiology, Vol 3, p e44714 (2023)
مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
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3دورية أكاديمية
المؤلفون: Daniele Sartirano, Kyriaki Kalimeri, Ciro Cattuto, Enrique Delamónica, Manuel Garcia-Herranz, Anthony Mockler, Daniela Paolotti, Rossano Schifanella
المصدر: Frontiers in Big Data, Vol 6 (2023)
مصطلحات موضوعية: wealth, index, poverty, survey, machine learning, Information technology, T58.5-58.64
وصف الملف: electronic resource
العلاقة: https://www.frontiersin.org/articles/10.3389/fdata.2023.1054156/fullTest; https://doaj.org/toc/2624-909XTest
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4دورية أكاديمية
المؤلفون: Vjosa Preniqi, Kyriaki Kalimeri, Charalampos Saitis
المصدر: PLoS ONE, Vol 18, Iss 11 (2023)
وصف الملف: electronic resource
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5دورية أكاديمية
المؤلفون: Lorenzo Betti, Gianmarco De Francisci Morales, Laetitia Gauvin, Kyriaki Kalimeri, Yelena Mejova, Daniela Paolotti, Michele Starnini
المصدر: PLoS Computational Biology, Vol 17, Iss 4, p e1008919 (2021)
مصطلحات موضوعية: Biology (General), QH301-705.5
وصف الملف: electronic resource
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6دورية أكاديمية
المؤلفون: Kyriaki Kalimeri, Matteo Delfino, Ciro Cattuto, Daniela Perrotta, Vittoria Colizza, Caroline Guerrisi, Clement Turbelin, Jim Duggan, John Edmunds, Chinelo Obi, Richard Pebody, Ana O Franco, Yamir Moreno, Sandro Meloni, Carl Koppeschaar, Charlotte Kjelsø, Ricardo Mexia, Daniela Paolotti
المصدر: PLoS Computational Biology, Vol 15, Iss 4, p e1006173 (2019)
مصطلحات موضوعية: Biology (General), QH301-705.5
وصف الملف: electronic resource
العلاقة: http://europepmc.org/articles/PMC6472822?pdf=renderTest; https://doaj.org/toc/1553-734XTest; https://doaj.org/toc/1553-7358Test
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7دورية أكاديمية
المؤلفون: Robert-Gabriel Lupu, Oana Mitruț, Andrei Stan, Florina Ungureanu, Kyriaki Kalimeri, Alin Moldoveanu
المصدر: Sensors, Vol 20, Iss 20, p 5821 (2020)
مصطلحات موضوعية: sensory substitution, cognitive load, brain activity, navigation, multimodal, audio, Chemical technology, TP1-1185
وصف الملف: electronic resource
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8دورية أكاديمية
المصدر: Demographic Research, Vol 42, p 5 (2020)
مصطلحات موضوعية: bias, demography, facebook, moral foundations, personality, psychometrics, recruitment bias, self-reporting bias, self-selection bias, social media, survey, Demography. Population. Vital events, HB848-3697
وصف الملف: electronic resource
العلاقة: https://www.demographic-research.org/volumes/vol42/5Test/; https://doaj.org/toc/1435-9871Test
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9دورية أكاديمية
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 p, audio features, moral values, textual features, music rehabilitation, music experience الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s002Test
https://figshare.com/articles/journal_contribution/Summary_of_experimental_designs_built_for_regression_models_with_type_and_number_of_independent_features_for_each_model_/24661163Test -
10دورية أكاديمية
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 p, audio features, moral values, textual features, music rehabilitation, music experience الإتاحة: https://doi.org/10.1371/journal.pone.0294402.s001Test
https://figshare.com/articles/journal_contribution/Demographic_breakdown_of_our_data_according_to_gender_and_age_/24661160Test