Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Diorge Brognara"'
Autor:
Miranda, Thiago Zafalon, Sardinha, Diorge Brognara, Basgalupp, Márcio Porto, Jin, Yaochu, Cerri, Ricardo
Multi-label classification consists in classifying an instance into two or more classes simultaneously. It is a very challenging task present in many real-world applications, such as classification of biology, image, video, audio, and text. Recently,
Externí odkaz:
http://arxiv.org/abs/2003.12526
In recent years, the interest in interpretable classification models has grown. One of the proposed ways to improve the interpretability of a rule-based classification model is to use sets (unordered collections) of rules, instead of lists (ordered c
Externí odkaz:
http://arxiv.org/abs/1908.09652
Publikováno v:
In Expert Systems With Applications 1 March 2021 165
Publikováno v:
Proceedings of the Genetic and Evolutionary Computation Conference Companion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a9e712fd9b052ddb4e5a09f58734113
https://doi.org/10.1145/3520304.3529025
https://doi.org/10.1145/3520304.3529025
Autor:
Yaochu Jin, Márcio P. Basgalupp, Diorge Brognara Sardinha, Ricardo Cerri, Thiago Zafalon Miranda
Publikováno v:
GECCO Companion
Multi-label classification consists in classifying an instance into two or more classes simultaneously. It is a very challenging task present in many real-world applications, such as classification of biology, image, video, audio, and text. Recently,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8471c80552ad0a4426e1c9155d836284
http://arxiv.org/abs/2003.12526
http://arxiv.org/abs/2003.12526
Autor:
Sardinha, Diorge Brognara
Publikováno v:
Repositório Institucional da UFSCAR
Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Relationship extraction is a task performed in text-based continuous learning systems, aiming to find semantic relationships between categories or entities. NELL is such a system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::1df2868688b6461bbab7897d2d180e03
https://repositorio.ufscar.br/handle/ufscar/13209.
https://repositorio.ufscar.br/handle/ufscar/13209.
Publikováno v:
Expert Systems with Applications. 165:113811
In recent years, the interest in interpretable classification models has grown. One of the proposed ways to improve the interpretability of a classification model based on collections of crisp rules is to use sets (unordered collections) instead of l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fda6e29c5c62787f65e0f2c7dab8a500
https://doi.org/10.1016/j.eswa.2020.113811
https://doi.org/10.1016/j.eswa.2020.113811
Publikováno v:
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018).
With advances in machine learning, natural language processing, processing speed, and amount of data storage, conversational agents are being used in applications that were not possible to perform within a few years. NELL, a machine learning agent wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31da3944185c713a78368bfa96d89c18
https://doi.org/10.5753/eniac.2018.4475
https://doi.org/10.5753/eniac.2018.4475