المؤلفون: Lomazzi, Vera

المساهمون: Aizpurua, Eva, Fitzgerald, Rory, de Barros, Julia Furtado, Giacomin, Gregorio, Lomazzi, Vera, Luijkx, Ruud, Maineri, Angelica, Negoita, Daniela

مصطلحات موضوعية: Survey methodology, Cross-national data, Ex-post harmonisation, Source and target variable, Validity, Settore SPS/07 - Sociologia Generale

وصف الملف: remote

العلاقة: volume:4; issue:Art. n. 12; firstpage:1; lastpage:23; journal:Measurement Instruments for the Social Sciences; http://hdl.handle.net/10446/229442Test

الإتاحة: https://doi.org/10.1186/s42409-022-00038-xTest
http://hdl.handle.net/10446/229442Test

المؤلفون: Cherrier, Noëlie, Mayo, Michael, Poli, Jean-Philippe, Defurne, Maxime, Sabatié, Franck

المساهمون: Intelligence Artificielle et Apprentissage Automatique (CEA, LIST) (LI3A (CEA, LIST)), Département Métrologie Instrumentation & Information (CEA, LIST) (DM2I (CEA, LIST)), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), University of Waikato Hamilton

المصدر: Proceedings of 23rd International Conference, DS 2020 ; 23rd International Conference, Discovery Science 2020 ; https://cea.hal.science/cea-04564475Test ; 23rd International Conference, Discovery Science 2020, Oct 2020, Thessaloniki, Greece. pp.386-402, ⟨10.1007/978-3-030-61527-7_26⟩ ; https://link.springer.com/chapter/10.1007/978-3-030-61527-7_26Test

مصطلحات موضوعية: artificial intelligence, machine learning, online learning, interpretable model, Trustworthy Artificial intelligence, pattern understanding, interpretability, Generalized Additive Models (GAM), prior domain-specific knowledge, learning guiding, GAM extension, GAM generalization, fitting method, bitonic function, discriminative variable, specific distribution, target variable, bitonic distribution, bitonic high-level features, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

جغرافية الموضوع: Thessaloniki, Greece

العلاقة: cea-04564475; https://cea.hal.science/cea-04564475Test; https://cea.hal.science/cea-04564475/documentTest; https://cea.hal.science/cea-04564475/file/article_NoelieCherrier_DS2020.pdfTest

الإتاحة: https://doi.org/10.1007/978-3-030-61527-7_26Test
https://cea.hal.science/cea-04564475Test
https://cea.hal.science/cea-04564475/documentTest
https://cea.hal.science/cea-04564475/file/article_NoelieCherrier_DS2020.pdfTest

المؤلفون: Hankin, David G., author, Mohr, Michael S., author, Newman, Ken B., author

المصدر: Sampling Theory : For the Ecological and Natural Resource Sciences, 2019, ill.

الإتاحة: https://doi.org/10.1093/oso/9780198815792.003.0001Test

المؤلفون: null Suryadi, Lock Yue Chew, Yew-Soon Ong

المساهمون: School of Physical and Mathematical Sciences, School of Computer Science and Engineering

المصدر: Chaos: An Interdisciplinary Journal of Nonlinear Science. 33:023126

مصطلحات موضوعية: Causal Modeling, Applied Mathematics, Computer science and engineering [Engineering], General Physics and Astronomy, Statistical and Nonlinear Physics, Target Variable, Mathematical Physics

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fdc9bc19e0f71804aa7072b45da541dTest
https://doi.org/10.1063/5.0106666Test

المؤلفون: Martin Řezáč, Lukáš Toma

المصدر: Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol 61, Iss 7, Pp 2709-2716 (2013)

مصطلحات موضوعية: credit scoring, indeterminate value, target variable, Gini, KS, lift, Agriculture, Biology (General), QH301-705.5

وصف الملف: electronic resource

العلاقة: https://acta.mendelu.cz/61/7/2709Test/; https://doaj.org/toc/1211-8516Test; https://doaj.org/toc/2464-8310Test

الوصول الحر: https://doaj.org/article/7967f6a309544fbbad37d8d63f41888eTest

المؤلفون: Umme Marzia Haque (11846815), Enamul Kabir (4033319), Rasheda Khanam (3594851)

مصطلحات موضوعية: Biotechnology, Cancer, Mental Health, young minds matter, reaching negative effects, gaussian naive bayes, avoid severe consequences, predicting depressed classes, +unhappy%22">xlink "> unhappy, second australian child, high correlated variables, based prediction model, 17 years old, 11 important features, anticipate mental illness, depression detection step, depression detection among, %22">xlink ">, important features, 17 years, mental illness, predicting child, predict depression, depression status, adolescent depression, weight loss, target variable, suicide attempt, socioeconomic difficulties, related issues

العلاقة: https://figshare.com/articles/figure/Functional_pattern_of_the_proposed_method_for_depression_detection_/17225626Test

الإتاحة: https://doi.org/10.1371/journal.pone.0261131.g001Test

المؤلفون: Umme Marzia Haque (11846815), Enamul Kabir (4033319), Rasheda Khanam (3594851)

مصطلحات موضوعية: Biotechnology, Cancer, Mental Health, young minds matter, reaching negative effects, gaussian naive bayes, avoid severe consequences, predicting depressed classes, +unhappy%22">xlink "> unhappy, second australian child, high correlated variables, based prediction model, 17 years old, 11 important features, anticipate mental illness, depression detection step, depression detection among, %22">xlink ">, important features, 17 years, mental illness, predicting child, predict depression, depression status, adolescent depression, weight loss, target variable, suicide attempt, socioeconomic difficulties, related issues

العلاقة: https://figshare.com/articles/figure/Execution_times_of_TPOT-suggested_ML_models_for_classification_/17225632Test

الإتاحة: https://doi.org/10.1371/journal.pone.0261131.g003Test

المؤلفون: Umme Marzia Haque (11846815), Enamul Kabir (4033319), Rasheda Khanam (3594851)

مصطلحات موضوعية: Biotechnology, Cancer, Mental Health, young minds matter, reaching negative effects, gaussian naive bayes, avoid severe consequences, predicting depressed classes, +unhappy%22">xlink "> unhappy, second australian child, high correlated variables, based prediction model, 17 years old, 11 important features, anticipate mental illness, depression detection step, depression detection among, %22">xlink ">, important features, 17 years, mental illness, predicting child, predict depression, depression status, adolescent depression, weight loss, target variable, suicide attempt, socioeconomic difficulties, related issues

العلاقة: https://figshare.com/articles/figure/Fig_2_-/17225629Test

الإتاحة: https://doi.org/10.1371/journal.pone.0261131.g002Test

المؤلفون: Umme Marzia Haque (11846815), Enamul Kabir (4033319), Rasheda Khanam (3594851)

مصطلحات موضوعية: Biotechnology, Cancer, Mental Health, young minds matter, reaching negative effects, gaussian naive bayes, avoid severe consequences, predicting depressed classes, +unhappy%22">xlink "> unhappy, second australian child, high correlated variables, based prediction model, 17 years old, 11 important features, anticipate mental illness, depression detection step, depression detection among, %22">xlink ">, important features, 17 years, mental illness, predicting child, predict depression, depression status, adolescent depression, weight loss, target variable, suicide attempt, socioeconomic difficulties, related issues

العلاقة: https://figshare.com/articles/dataset/Class_status_with_most_significant_11_input_features_/17225644Test

الإتاحة: https://doi.org/10.1371/journal.pone.0261131.t002Test

المؤلفون: Umme Marzia Haque (11846815), Enamul Kabir (4033319), Rasheda Khanam (3594851)

مصطلحات موضوعية: Biotechnology, Cancer, Mental Health, young minds matter, reaching negative effects, gaussian naive bayes, avoid severe consequences, predicting depressed classes, +unhappy%22">xlink "> unhappy, second australian child, high correlated variables, based prediction model, 17 years old, 11 important features, anticipate mental illness, depression detection step, depression detection among, %22">xlink ">, important features, 17 years, mental illness, predicting child, predict depression, depression status, adolescent depression, weight loss, target variable, suicide attempt, socioeconomic difficulties, related issues

العلاقة: https://figshare.com/articles/dataset/Experiment_findings_on_feature_selection_/17225638Test

الإتاحة: https://doi.org/10.1371/journal.pone.0261131.t001Test