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Showing 10 out of a total of 261 results for community: Investigación. (0.265 seconds)

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Fibroblast activation and abnormal extracellular matrix remodelling as common hallmarks in three cancer-prone genodermatoses (article)

Chacón Solano, Esteban ; León Canseco, Carlos ; Diaz, F. ; García-García, F. ; García Díez, Marta ; Escámez Toledano, María José ; Guerrero Aspizua, Sara ; Conti, Claudio Jorge ; Mencía Rodríguez, Ángeles ; Martínez Santamaría, Lucia ; Llames, S. ; Pévida, M. ; Carbonell-Caballero, J. ; Puig-Butille, J.A. ; Maseda, R. ; Puig, S. ; Lucas, R. de ; Baselga, E. ; Larcher Laguzzi, Fernando ; Dopazo, J. ; Río Nechaevsky, Marcela del
2019-09
Chacón-Solano E., León C., Díaz F., et. al. (2019). Fibroblasts activation and abnormal extracellular matrix remodelling as common hallmarks in three cancer-prone genodermatoses. British Journal of Dermatology, 181(3):512-522
Overview of the JET results in support to ITER (article)

Litaudon, X. ; Martín Solís, José Ramón
2017-06-15
Nuclear Fusion, (2017), 57(10), 102001, pp.: 1-14.
Overview of the JET preparation for deuterium-tritium operation with the ITER like-wall (article)

Joffrin, E. ; Martín Solís, José Ramón
2019-08-30
Nuclear Fusion, (2019), 59(11), 112021, 25 pp.
Comparison of runaway electron generation parameters in small, medium-sized and large tokamaks: a survey of experiments in COMPASS, TCV, ASDEX-Upgrade and JET (article)

Plyusnin, V.V. ; Martín Solís, José Ramón
2017-11-08
Nuclear Fusion, (2017), 58(1), 016014, pp.: 1-154.
Evaluating a bag-of-visual features approach using spatio-temporal features for action recognition (article)

Velastin Carroza, Sergio Alejandro ; Nazir, Saima ; Yousaf, Haroon Muhammad
2018-11
Nazir, S., Yousaf, M. H. y Velastin,S.A. (2018). Evaluating a bag-of-visual features approach using spatio-temporal features for action recognition. Computers & Electrical Engineering, 72, pp. 660-669.
EspiNet V2: a region based deep learning model for detecting motorcycles in urban scenarios (article)

Espinosa Oviedo, Jorge Ernesto ; Velastin Carroza, Sergio Alejandro ; Branch Bedoya, John William
2020-03-01
Espinosa Oviedo, J. E., Velastin, S.A. y Branch Bedoya, J. W. (2019). EspiNet V2: a region based deep learning model for detecting motorcycles in urban scenarios. DYNA, 86(211),pp. 317-326.
Vectors of Temporally Correlated Snippets for Temporal Action Detection (article)

Murtaza, Fiza ; Haroon Yousaf, Muhammad ; Velastin Carroza, Sergio Alejandro ; Qian, Yu
2020-05-26
Murtaza, F., Haroon Yousaf, M., Velastin, S. A. y Qian, Y. (2020). Vectors of Temporally Correlated Snippets for Temporal Action Detection. Computers and Electrical Engineering, Vol 85.
Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks (article)

Hieu Pham, Huy ; Salmane, Houssam ; Khoudour, Louahdi ; Crouzil, Alain ; Zegers, Pablo ; Velastin Carroza, Sergio Alejandro
2019-04-24
Pham, H.H., Salmane, H., Khoudour, L., Crouzil, A., Zegers, P. y Velastín, S. (2019). Spatio–Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks. Sensors, 19(8), 1932.
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks (article)

Pham, Huy-Hieu ; Khoudour, Louahdi ; Crouzil, Alain ; Zegers, Pablo ; Velastin Carroza, Sergio Alejandro
2018
Pham, H., Khoudour, L., Crouzil, A., Zegers, P., Velastin, S.A., G. Schmidt, Oliver. (2018). Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks. IET Computer Vision, 13(3), pp. 319-328.
Dynamic Spatio-Temporal Bag of Expressions (D-STBoE) Model for Human Action Recognition (article)

Nazir, Saima ; Yousaf, Muhammad Haroon ; Nebel, Jean-Cristophe ; Velastin Carroza, Sergio Alejandro
2019-06-21
Nazir, S., Haroon Yousaf, M., Nebel, J.C. y Velastín, S.A. (2019). Dynamic Spatio-Temporal Bag of Expressions (D-STBoE) Model for Human Action Recognition. Sensors, 19(12), 2790

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