output
20012026
most citedText Line Segmentation of Historical Documents: a Survey

310 citations

139 papers

math.ST2026

Penalized estimation of GEV parameters for extreme quantile regression

Lucien M. Vidagbandji, Alexandre Berred, Cyrille Bertelle +1

Quantile regression (QR) relies on the estimation of conditional quantiles and explores the relationships between independent and dependent variables. At high probability levels, c…

math.AP2025

Bounded imaginary powers of generalized diffusion operators

Alexandre Thorel

In this paper, we investigate the boundedness of the imaginary powers of four generalized diffusion operators. This key property, which implies the maximal regularity property, all…

stat.ME2025★ 1 cited

Generalized random forest for extreme quantile regression

Lucien M. Vidagbandji, Alexandre Berred, Cyrille Bertelle +1

Quantile regression is a statistical method which, unlike classical regression, aims to predict the conditional quantiles. Classical quantile regression methods face difficulties,…

astro-ph.IM2025

Electron impact ro-vibrational transitions and dissociative recombination of H2+ and HD+: Rate coefficients and astrophysical implications

Riyad Hassaine, Emerance Djuissi, Nicolina Pop +11

Context. Molecular hydrogen and its cation H+2 are among the first species formed in the early Universe, and play a key role in the thermal and chemical evolution of the primordial…

math.AP2025

Slowly oscillating periodic solutions in a nonlinear Volterra equation with non-symmetric feedback

Quentin Griette, Franco Herrera

In this work we study a nonlinear Volterra equation with non-symmetric feedback that arises as a particular case of the Gurtin-MacCamy model in population dynamics. We are particul…

eess.SY2025★ 5 cited

Probabilistic State Estimation of Timed Probabilistic Discrete Event Systems via Artificial Neural Networks [Draft Version]

Omar Amri, Carla Seatzu, Alessandro Giua +1

This paper is about the state estimation of timed probabilistic discrete event systems. The main contribution is to propose general procedures for developing state estimation appro…