Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Duncan D. Ruiz"'
Autor:
Laura Tomaz Da Silva, Nathalia Bianchini Esper, Duncan D. Ruiz, Felipe Meneguzzi, Augusto Buchweitz
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
Problem: Brain imaging studies of mental health and neurodevelopmental disorders have recently included machine learning approaches to identify patients based solely on their brain activation. The goal is to identify brain-related features that gener
Externí odkaz:
https://doaj.org/article/94a069617c64441095ed5df707998aca
Autor:
Renata De Paris, Christian Vahl Quevedo, Duncan D. Ruiz, Furia Gargano, Osmar Norberto de Souza
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-16 (2018)
Abstract Background In the rational drug design process, an ensemble of conformations obtained from a molecular dynamics simulation plays a crucial role in docking experiments. Some studies have found that Fully-Flexible Receptor (FFR) models predict
Externí odkaz:
https://doaj.org/article/471845d5b84a470bb11d91fc2c028932
Autor:
Duncan D. Ruiz, Julia M. Colleoni Couto, Renata De Paris, Gabriel Paludo Licks, Priscilla de Fátima Miehe, Felipe Meneguzzi
Publikováno v:
Applied Intelligence. 50:2575-2588
Configuring databases for efficient querying is a complex task, often carried out by a database administrator. Solving the problem of building indexes that truly optimize database access requires a substantial amount of database and domain knowledge,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed8b438a60c46424b76a7d06e266d3a2
https://doi.org/10.1007/s10489-020-01674-8
https://doi.org/10.1007/s10489-020-01674-8
Autor:
Luís Fernando Bittencourt, Otávio Parraga, Duncan D. Ruiz, Isabel H. Manssour, Soraia Raupp Musse, Rodrigo C. Barros
Publikováno v:
Intelligent Systems ISBN: 9783031216855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b734a4880438aa92d18cf050fda8373a
https://doi.org/10.1007/978-3-031-21686-2_25
https://doi.org/10.1007/978-3-031-21686-2_25
Publikováno v:
ICEIS (2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4b688733f7bb5e886fbbd4f1d668930
https://doi.org/10.5220/0010429402240231
https://doi.org/10.5220/0010429402240231
Publikováno v:
IJCNN
Text-to-image synthesis is the task of generating images from text descriptions. Image generation, by itself, is a challenging task. When we combine image generation and text, we bring complexity to a new level: we need to combine data from two diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4efc780d731f253b6bd80f0238d00370
http://arxiv.org/abs/2004.11437
http://arxiv.org/abs/2004.11437
Publikováno v:
BRACIS
Machine Learning (ML) has been successfully applied to a wide range of domains and applications. Since the number of ML applications is growing, there is a need for tools that boost the data scientist's productivity. Automated Machine Learning (AutoM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be61130572ca82c2326ea0f6f6cb6bfd
https://doi.org/10.1109/bracis.2018.00029
https://doi.org/10.1109/bracis.2018.00029
Publikováno v:
IJCNN
The task of measure semantic redundancy between sentences demands a thorough interpretation from the reader because phrase meaning may be ambiguous. Detecting semantic similarity is a difficult problem because natural language, besides ambiguity, off
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72f18c0744c45371f19334eddbc3d3c8
https://doi.org/10.1109/ijcnn.2018.8489433
https://doi.org/10.1109/ijcnn.2018.8489433