Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Luis Enrique Sucar"'
Publikováno v:
International Journal of Approximate Reasoning. 143:1-25
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df3cde7ea372b71f95c6e607d50b2358
https://doi.org/10.1016/j.ijar.2021.12.010
https://doi.org/10.1016/j.ijar.2021.12.010
Autor:
Heikel Yervilla-Herrera, Israel Becerra, Rafael Murrieta-Cid, Luis Enrique Sucar, Eduardo F. Morales
Publikováno v:
Journal of Intelligent & Robotic Systems. 105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20a7e83593625c359ff236bc8b074b01
https://doi.org/10.1007/s10846-022-01696-z
https://doi.org/10.1007/s10846-022-01696-z
Autor:
Heydi Méndez-Vázquez, Miguel Nicolás-Díaz, Miguel González-Mendoza, Leonardo Chang, Yoanna Martínez-Díaz, Luis Enrique Sucar, Luis S. Luevano
Publikováno v:
Artificial Intelligence Review. 54:6201-6244
This paper studies the impact of lightweight face models on real applications. Lightweight architectures proposed for face recognition are analyzed and evaluated on different scenarios. In particular, we evaluate the performance of five recent lightw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::920db11350936eec61e632d58859888e
https://doi.org/10.1007/s10462-021-09974-2
https://doi.org/10.1007/s10462-021-09974-2
Publikováno v:
Medical & Biological Engineering & Computing. 58:2475-2495
In this paper, we propose four variants of the Markov random field model by using constrained clustering for breast mass segmentation. These variants were tested with a set of images extracted from a public database. The obtained results have shown t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab83bda9b0e4f8eae2d483737ec55628
https://doi.org/10.1007/s11517-020-02221-w
https://doi.org/10.1007/s11517-020-02221-w
Autor:
Alberto L. Morán, Victoria Meza, Felipe Orihuela-Espina, Luis Enrique Sucar, Gilberto Borrego
Publikováno v:
Universal Access in the Information Society. 20:767-783
In this work, the results of usability and user experience (UX) evaluation of a serious video game for the cognitive stimulation and motor rehabilitation of the upper limb of the elderly are presented. The serious game includes features that allow (1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea6e65de730fd88b9a0787f408b5d09c
https://doi.org/10.1007/s10209-020-00746-3
https://doi.org/10.1007/s10209-020-00746-3
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030986810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18c5b18b388b9a1cda5bda030af9bc00
https://doi.org/10.1007/978-3-030-98682-7_4
https://doi.org/10.1007/978-3-030-98682-7_4
Autor:
Freddy del Angel Arrieta, Michelle Rojas Cisneros, Jesus Joel Rivas, Luis R. Castrejon, Luis Enrique Sucar, Javier Andreu-Perez, Felipe Orihuela-Espina
Publikováno v:
43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Poor understanding of brain recovery after injury, sparsity of evaluations and limited availability of healthcare services hinders the success of neurorehabilitation programs in rural communities. The availability of neuroimaging ca-pacities in remot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93d6c18eb3f9c723a7bbffdf15816c36
https://doi.org/10.1109/embc46164.2021.9629672
https://doi.org/10.1109/embc46164.2021.9629672
Publikováno v:
9th International Conference on Affective Computing and Intelligent Interaction (ACII)
ACII
ACII
Data from multiple sensors can boost the automatic recognition of multiple affective states in a multilabel and multimodal recognition system. At any time, the streaming from any of the contributing sensors can be missing. This work proposes a method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ce404bb4e13c874af9fe0c37fd5d978
http://hdl.handle.net/10044/1/104858
http://hdl.handle.net/10044/1/104858
Autor:
Luis Enrique Sucar
Publikováno v:
Advances in Computer Vision and Pattern Recognition ISBN: 9783030619428
Advances in Computer Vision and Pattern Recognition ISBN: 9781447166986
Probabilistic Graphical Models
Advances in Computer Vision and Pattern Recognition ISBN: 9781447166986
Probabilistic Graphical Models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c1a61b904bf564cd6c8f8ca8a282063
https://doi.org/10.1007/978-3-030-61943-5
https://doi.org/10.1007/978-3-030-61943-5
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030770037
MCPR
MCPR
Novelty detection is a process of identifying if new data does not belong to the previously observed patterns; this is important in several applications such as medical diagnosis and autonomous driving, where wrongly identifying a novel pattern could
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17d3305e0d94be503b12df4e582b385d
https://doi.org/10.1007/978-3-030-77004-4_24
https://doi.org/10.1007/978-3-030-77004-4_24