activity
20182025
most citedA Bellman-Ford algorithm for the path-length-weighted distance in graphs

5 citations · 8 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2025★ 1 cited

Soft Computing Approaches for Predicting Shade-Seeking Behaviour in Dairy Cattle under Heat Stress: A Comparative Study of Random Forests and Neural Networks

S. Sanjuan, D. A. Méndez, R. Arnau +3

Heat stress is one of the main welfare and productivity problems faced by dairy cattle in Mediterranean climates. In this study, we approach the prediction of the daily shade-seeki…

math.FA2024

Lattice Lipschitz operators on space

Roger Arnau, Jose M. Calabuig, Enrique A. Sánchez-Pérez

Given a Banach lattice the space of lattice Lipschitz operators on has been introduced as a natural Lipschitz generalization of the linear notions of diagonal operator and…

cs.DS2024★ 5 cited

A Bellman-Ford algorithm for the path-length-weighted distance in graphs

R. Arnau, J. M. Calabuig, L. M. García Raffi +2

Consider a finite directed graph without cycles in which the arrows are weighted. We present an algorithm for the computation of a new distance, called path-length-weighted distanc…

math.FA2024

Lattice Lipschitz superposition operators on Banach function spaces

Roger Arnau, Jose M. Calabuig, Ezgi Erdoğan +1

We analyse and characterise the notion of lattice Lipschitz operator (a class of superposition operators, diagonal Lipschitz maps) when defined between Banach function spaces. Afte…

math.FA2023

Approximation of almost diagonal non-linear maps by lattice Lipschitz operators

Roger Arnau, Jose M. Calabuig, Ezgi Erdoğan +1

Lattice Lipschitz operators define a new class of nonlinear Banach-lattice-valued maps that can be written as diagonal functions with respect to a certain basis. In the dimensi…

cs.LG2023★ 1 cited

Selected aspects of complex, hypercomplex and fuzzy neural networks

Agnieszka Niemczynowicz, Radosław A. Kycia, Maciej Jaworski +8

This short report reviews the current state of the research and methodology on theoretical and practical aspects of Artificial Neural Networks (ANN). It was prepared to gather stat…

q-bio.PE2020★ 1 cited

Kaplan-Meier type survival curves for COVID-19: a health data based decision-making tool

J. M. Calabuig, L. M. García-Raffi, A. García-Valiente +1

Countries are recording health information on the global spread of COVID-19 using different methods, sometimes changing the rules after a few days. They are all publishing the numb…

q-fin.ST2019

Dreaming machine learning: Lipschitz extensions for reinforcement learning on financial markets

J. M. Calabuig, H. Falciani, E. A. Sánchez-Pérez

We consider a quasi-metric topological structure for the construction of a new reinforcement learning model in the framework of financial markets. It is based on a Lipschitz type e…

cs.SI2019

Graph distances for determining entities relationships: a topological approach to fraud detection

J. M. Calabuig, H. Falciani, A. Ferrer-Sapena +2

Given a set and a proximity function , we define a new metric for by considering a path distance in , that is considered as a complete graph…

math.FA2018

Equivalent Norms in a Banach Function Space and the Subsequence Property

Jose M. Calabuig, Maite Fernández Unzueta, Fernando Galaz-Fontes +1

Given a finite measure space , we show that any Banach space consisting of (equivalence classes of) real measurable functions defined on such that $f χ_A \in X(…