Zobrazeno 1 - 10
of 86 099
pro vyhledávání: '"Vicente, P"'
Publikováno v:
Central European Journal of Operations Research, 31 (2023), 363-391
In the framework of data envelopment analysis (DEA), Tone (2001) introduced the slacks-based measure (SBM) of efficiency, which is a nonradial model that incorporates all the slacks of the evaluated decision-making units (DMUs) into their efficiency
Externí odkaz:
http://arxiv.org/abs/2410.14303
Publikováno v:
Operations Research Perspectives, 12 (2024), 100307
We construct a new family of chance constrained directional models in stochastic data envelopment analysis, generalizing the deterministic directional models and the chance constrained radial models. We prove that chance constrained directional model
Externí odkaz:
http://arxiv.org/abs/2410.14295
Autor:
Sebastián-Lombraña, Alberto, Brunner, Hans H., Brito, Juan P., Méndez, Rubén B., Vicente, Rafael J., Buruaga, Jaime S., Ortiz, Laura, Fung, Chi-Hang Fred, Peev, Momtchil, Rivas-Moscoso, José M., Jiménez, Felipe, Pastor, Antonio, López, Diego R., Folgueira, Jesús, Martín, Vicente
Quantum Communications is a field that promises advances in cryptography, quantum computing and clock synchronisation, among other potential applications. However, communication based on quantum phenomena requires an extreme level of isolation from e
Externí odkaz:
http://arxiv.org/abs/2409.01069
Achieving superconductivity in infinite-layer nickelate thin films by aluminum sputtering deposition
Autor:
Zhang, Dongxin, Raji, Aravind, Vicente-Arche, Luis M., Gloter, Alexandre, Bibes, Manuel, Iglesias, Lucía
The recent discovery of superconductivity in infinite-layer (IL, ABO$_2$) nickelates has opened a new avenue to deepen the understanding of high-temperature superconductivity. However, progress in this field is slowed by significant challenges in mat
Externí odkaz:
http://arxiv.org/abs/2411.04896
Autor:
Lacasa, Lucas, Pardo, Abel, Arbelo, Pablo, Sánchez, Miguel, Yeste, Pablo, Bascones, Noelia, Martínez-Cava, Alejandro, Rubio, Gonzalo, Gómez, Ignacio, Valero, Eusebio, de Vicente, Javier
Methods of Machine and Deep Learning are gradually being integrated into industrial operations, albeit at different speeds for different types of industries. The aerospace and aeronautical industries have recently developed a roadmap for concepts of
Externí odkaz:
http://arxiv.org/abs/2411.02075
We present and analyze two stabilized finite element methods for solving numerically the Poisson--Nernst--Planck equations. The stabilization we consider is carried out by using a shock detector and a discrete graph Laplacian operator for the ion equ
Externí odkaz:
http://arxiv.org/abs/2411.01358
Autor:
Olivo, Vicente Amado, Kerzendorf, Wolfgang, Cherinka, Brian, Shields, Joshua V., Didier, Annie, von der Wense, Katharina
Large scientific institutions, such as the Space Telescope Science Institute, track the usage of their facilities to understand the needs of the research community. Astrophysicists incorporate facility usage data into their scientific publications, e
Externí odkaz:
http://arxiv.org/abs/2411.00987
Autor:
Pena-Rocha, Marcos, Gomez-Crisostomo, Maria Rocio, Guerrero-Bote, Vicente Pablo, de Moya-Anegon, Felix
This study presents a comparative analysis between two scientific document classification systems. The first system employs the Scopus journal-based assignment method, adapted to a fractional model, while the second system uses the U1-F-0.8 classific
Externí odkaz:
http://arxiv.org/abs/2410.23792
Autor:
McCullough, J., Amon, A., Legnani, E., Gruen, D., Roodman, A., Friedrich, O., MacCrann, N., Becker, M. R., Myles, J., Dodelson, S., Samuroff, S., Blazek, J., Prat, J., Honscheid, K., Pieres, A., Ferté, A., Alarcon, A., Drlica-Wagner, A., Choi, A., Navarro-Alsina, A., Campos, A., Malagón, A. A. Plazas, Porredon, A., Farahi, A., Ross, A. J., Rosell, A. Carnero, Yin, B., Flaugher, B., Yanny, B., Sánchez, C., Chang, C., Davis, C., To, C., Doux, C., Brooks, D., James, D. J., Cid, D. Sanchez, Hollowood, D. L., Huterer, D., Rykoff, E. S., Gaztanaga, E., Huff, E. M., Suchyta, E., Sheldon, E., Sanchez, E., Tarsitano, F., Andrade-Oliveira, F., Castander, F. J., Bernstein, G. M., Gutierrez, G., Giannini, G., Tarle, G., Diehl, H. T., Huang, H., Harrison, I., Sevilla-Noarbe, I., Tutusaus, I., Ferrero, I., Elvin-Poole, J., Marshall, J. L., Muir, J., Weller, J., Zuntz, J., Carretero, J., DeRose, J., Frieman, J., Cordero, J., De Vicente, J., García-Bellido, J., Mena-Fernández, J., Eckert, K., Romer, A. K., Bechtol, K., Herner, K., Kuehn, K., Secco, L. F., da Costa, L. N., Paterno, M., Soares-Santos, 21 M., Gatti, M., Raveri, M., Yamamoto, M., Smith, M., Kind, M. Carrasco, Troxel, M. A., Aguena, M., Jarvis, M., Swanson, M. E. C., Weaverdyck, N., Lahav, O., Doel, P., Wiseman, P., Miquel, R., Gruendl, R. A., Cawthon, R., Allam, S., Hinton, S. R., Bridle, S. L., Bocquet, S., Desai, S., Pandey, S., Everett, S., Lee, S., Shin, T., Palmese, A., Conselice, C., Burke, D. L., Buckley-Geer, E., Lima, M., Vincenzi, M., Pereira, M. E. S., Crocce, M., Schubnell, M., Jeffrey, N., Alves, O., Vikram, V., Zhang, Y., Collaboration, DES
Modeling the intrinsic alignment (IA) of galaxies poses a challenge to weak lensing analyses. The Dark Energy Survey is expected to be less impacted by IA when limited to blue, star-forming galaxies. The cosmological parameter constraints from this b
Externí odkaz:
http://arxiv.org/abs/2410.22272
Autor:
Domnich, Marharyta, Valja, Julius, Veski, Rasmus Moorits, Magnifico, Giacomo, Tulver, Kadi, Barbu, Eduard, Vicente, Raul
As machine learning models evolve, maintaining transparency demands more human-centric explainable AI techniques. Counterfactual explanations, with roots in human reasoning, identify the minimal input changes needed to obtain a given output and, henc
Externí odkaz:
http://arxiv.org/abs/2410.21131