Zobrazeno 1 - 10
of 163 922
pro vyhledávání: '"Were, Beatrice A."'
A centrality measure of the cut-edges of an undirected graph, given in [Altafini et al.~SIMAX 2023] and based on Kemeny's constant, is revisited. A numerically more stable expression is given to compute this measure, and an explicit expression is pro
Externí odkaz:
http://arxiv.org/abs/2411.19603
Autor:
Ros, Luca Motto, Pitton, Beatrice
Let $\lambda$ be an uncountable cardinal such that $2^{< \lambda } = \lambda$. Working in the setup of generalized descriptive set theory, we study the structure of $\lambda^+$-Borel measurable functions with respect to various kinds of limits, and i
Externí odkaz:
http://arxiv.org/abs/2411.17650
Autor:
Radisson, Basile, Bense, Hadrien, Siéfert, Emmanuel, Domino, Lucie, Hua, Hoa-Ai Béatrice, Brau, Fabian
Parallel assemblies of slender structures forming brushes are common in our daily life from sweepers to pastry brushes and paintbrushes. This type of porous objects can easily trap liquid in their interstices when removed from a liquid bath. This pro
Externí odkaz:
http://arxiv.org/abs/2411.15970
Autor:
Pannitto, Ludovica, Bernasconi, Beatrice, Busso, Lucia, Pisciotta, Flavio, Rambelli, Giulia, Masini, Francesca
The paper descirbes a first attempt of linking the Italian constructicon to UD resources
Externí odkaz:
http://arxiv.org/abs/2411.07623
We consider a self-interacting, massive, real scalar field on a four-dimensional globally hyperbolic spacetime and the associated stress-energy tensor. Using techniques proper of the algebraic approach to perturbative quantum field theory, we study t
Externí odkaz:
http://arxiv.org/abs/2411.07109
Folktales are a rich resource of knowledge about the society and culture of a civilisation. Digital folklore research aims to use automated techniques to better understand these folktales, and it relies on abstract representations of the textual data
Externí odkaz:
http://arxiv.org/abs/2411.05593
State-of-the-art models for keyphrase generation require large amounts of training data to achieve good performance. However, obtaining keyphrase-labeled documents can be challenging and costly. To address this issue, we present a self-compositional
Externí odkaz:
http://arxiv.org/abs/2411.03039
We build a time-causal variational autoencoder (TC-VAE) for robust generation of financial time series data. Our approach imposes a causality constraint on the encoder and decoder networks, ensuring a causal transport from the real market time series
Externí odkaz:
http://arxiv.org/abs/2411.02947
Autor:
Fucci, Dennis, Gaido, Marco, Savoldi, Beatrice, Negri, Matteo, Cettolo, Mauro, Bentivogli, Luisa
Spurred by the demand for interpretable models, research on eXplainable AI for language technologies has experienced significant growth, with feature attribution methods emerging as a cornerstone of this progress. While prior work in NLP explored suc
Externí odkaz:
http://arxiv.org/abs/2411.01710
Autor:
Price, Brandon, Adleberg, Jason, Thomas, Kaesha, Zaiman, Zach, Mansuri, Aawez, Brown-Mulry, Beatrice, Okecheukwu, Chima, Gichoya, Judy, Trivedi, Hari
The Emory Knee Radiograph (MRKR) dataset is a large, demographically diverse collection of 503,261 knee radiographs from 83,011 patients, 40% of which are African American. This dataset provides imaging data in DICOM format along with detailed clinic
Externí odkaz:
http://arxiv.org/abs/2411.00866