Zobrazeno 1 - 10
of 5 862
pro vyhledávání: '"A. Caló"'
Autor:
L. Parra-Navarro, A. Calon, M. Iglesias-Coma, E. Andrades-López, A. Sallent-Aragay, C. Solé-Blanch, J. Vidal-Barrull, S. España-Fernández, A. Martínez-Cardús, R.M. Pujol, S. Segura
Publikováno v:
EJC Skin Cancer, Vol 2, Iss , Pp 100161- (2024)
Externí odkaz:
https://doaj.org/article/c55d4af12f7748d8856f8266dc7203d2
Autor:
Calò, Emanuele, Facchini, Angelo
In Regional Economics, the attractiveness of regions for capital, migrants, tourists, and other kinds of flows is a relevant topic. Usually, studies in this field have mainly explored single flows, characterizing the dimensions of territorial attract
Externí odkaz:
http://arxiv.org/abs/2412.09178
Autor:
Tavakoli, Leila, Castiglia, Giovanni, Calo, Federica, Deldjoo, Yashar, Zamani, Hamed, Trippas, Johanne R.
This study is the first attempt to explore the impact of clarification question modality on user preference in search engines. We introduce the multi-modal search clarification dataset, MIMICS-MM, containing clarification questions with associated ex
Externí odkaz:
http://arxiv.org/abs/2406.19546
We propose a new framework for formulating optimal transport distances between Markov chains. Previously known formulations studied couplings between the entire joint distribution induced by the chains, and derived solutions via a reduction to dynami
Externí odkaz:
http://arxiv.org/abs/2406.04056
Intelligent Tutoring Systems (ITSs) have shown great potential in delivering personalized and adaptive education, but their widespread adoption has been hindered by the need for specialized programming and design skills. Existing approaches overcome
Externí odkaz:
http://arxiv.org/abs/2405.14713
We propose a method for reducing the spatial discretization error of coarse computational fluid dynamics (CFD) problems by enhancing the quality of low-resolution simulations using deep learning. We feed the model with fine-grid data after projecting
Externí odkaz:
http://arxiv.org/abs/2405.07441
Initially designed to predict and explain the economic trajectories of countries, cities, and regions, economic complexity has been found applicable in diverse contexts such as ecology and chess openings. The success of economic complexity stems from
Externí odkaz:
http://arxiv.org/abs/2405.04158
The recently proposed soft finite element method (SoftFEM) reduces the stiffness (condition numbers), consequently improving the overall approximation accuracy. The method subtracts a least-square term that penalizes the gradient jumps across mesh in
Externí odkaz:
http://arxiv.org/abs/2402.16080
The Deep Fourier Residual (DFR) method is a specific type of variational physics-informed neural networks (VPINNs). It provides a robust neural network-based solution to partial differential equations (PDEs). The DFR strategy is based on approximatin
Externí odkaz:
http://arxiv.org/abs/2401.04663
Autor:
Angel, María P., Calo, Ryan
Publikováno v:
Columbia Law Review, 2024 Mar 01. 124(2), 507-562.
Externí odkaz:
https://www.jstor.org/stable/27305117