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1دورية أكاديمية
المؤلفون: Bunse, MirkoAff1, IDs10618024010672_cor1, Moreo, Alejandro, Sebastiani, Fabrizio, Senz, Martin
المصدر: Data Mining and Knowledge Discovery. :1-46
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2دورية أكاديمية
المؤلفون: González, PabloAff1, IDs10618024010141_cor1, Moreo, Alejandro, Sebastiani, Fabrizio
المصدر: Data Mining and Knowledge Discovery. 38(4):1670-1712
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3كتاب إلكتروني
المؤلفون: Moreo, AlejandroAff14, Sebastiani, FabrizioAff14
المساهمون: Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Woeginger, Gerhard, Editorial Board MemberAff6, Yung, Moti, Editorial Board MemberAff7, Hiemstra, Djoerd, editorAff8, Moens, Marie-Francine, editorAff9, Mothe, Josiane, editorAff10, Perego, Raffaele, editorAff11, Potthast, Martin, editorAff12, Sebastiani, Fabrizio, editorAff13
المصدر: Advances in Information Retrieval : 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 – April 1, 2021, Proceedings, Part II. 12657:75-91
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4دورية أكاديمية
لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل. -
5
المؤلفون: Andrea Esuli, Alessandro Fabris, Alejandro Moreo, Fabrizio Sebastiani
المصدر: The Information Retrieval Series ISBN: 9783031204661
مصطلحات موضوعية: Quantification, Learning to Quantify
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5936d6d02036c4333f40ded022492e58
https://openportal.isti.cnr.it/doc?id=people______::a9ec320dbddc78a905d0c6dfb5040d3f -
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المؤلفون: Bunse, Mirko, Moreo, Alejandro, Sebastiani, Fabrizio, Senz, Martin
المصدر: Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264184
ECML/PKDD 2022-33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 36–52, Grenoble, France, 19-23/09/2022مصطلحات موضوعية: Learning to quantify
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c3b72fb7090b9f50d6f3a59eef4b684
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7
المؤلفون: Del Coz J. J, González P., Moreo A., Sebastiani F.
مصطلحات موضوعية: Quantification, Learning to quantify
URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______9984::c177cd24b4efaae1bb93c3d8050b28b4
https://openportal.isti.cnr.it/doc?id=people______::77254d513ec599c1bb6c83843eb5f4b3 -
8دورية أكاديمية
لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل. -
9
المؤلفون: Moreo, Esuli, Sebastiani
المصدر: CIKM
CIKM 2021-30th International Conference on Information and Knowledge Management, pp. 4534–4543, Online conference, 01-05/11/2021
info:cnr-pdr/source/autori:Moreo A.; Esuli A.; Sebastiani F./congresso_nome:CIKM 2021-30th International Conference on Information and Knowledge Management/congresso_luogo:Online conference/congresso_data:01-05%2F11%2F2021/anno:2021/pagina_da:4534/pagina_a:4543/intervallo_pagine:4534–4543
Proceedings of the 30th ACM International Conference on Information & Knowledge Managementمصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer science, 02 engineering and technology, Machine learning, computer.software_genre, Machine Learning (cs.LG), Software, Quantification, 020204 information systems, Classifier (linguistics), 0202 electrical engineering, electronic engineering, information engineering, Learning to quantify, computer.programming_language, Class (computer programming), Computer Science - Computation and Language, business.industry, Model selection, Supervised learning, Python (programming language), Visualization, Artificial Intelligence (cs.AI), Quantifier (logic), 020201 artificial intelligence & image processing, Artificial intelligence, business, Computation and Language (cs.CL), computer
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10
المؤلفون: Alessandro Fabris, Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani
المصدر: Journal of artificial intelligence research (Online) 76 (2023): 1117–1180. doi:10.1613/jair.1.14033
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Computers and Society, Computer Science - Machine Learning, Fairness, Artificial Intelligence, Quantification, Computers and Society (cs.CY), Learning to quantify, Machine Learning (cs.LG)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a657f6374d3e17b8244e8aada225eec
http://arxiv.org/abs/2109.08549