C. Monserrat

About C. Monserrat

C. Monserrat, With an exceptional h-index of 21 and a recent h-index of 14 (since 2020), a distinguished researcher at Universidad Politécnica de València,

His recent articles reflect a diverse array of research interests and contributions to the field:

Using ecological momentary assessment and machine learning techniques to predict depressive symptoms in emerging adults

AI Watch: Revisiting Technology Readiness Levels for relevant Artificial Intelligence technologies

Further Details on Predicting IRT Difficulty

When ai difficulty is easy: The explanatory power of predicting irt difficulty

Risk assessment of hip fracture based on machine learning

A new system for 3D planning of orthodontic treatment and 3D tooth movement simulation

Prediction of osteoporotic hip fracture in postmenopausal women through patient-specific FE analyses and machine learning

Learning alternative ways of performing a task

C. Monserrat Information

University

Position

Research Institute for Artificial Intelligence (VRAIN)

Citations(all)

2155

Citations(since 2020)

735

Cited By

1629

hIndex(all)

21

hIndex(since 2020)

14

i10Index(all)

40

i10Index(since 2020)

18

Email

University Profile Page

Universidad Politécnica de València

Google Scholar

View Google Scholar Profile

Top articles of C. Monserrat

Title

Journal

Author(s)

Publication Date

Using ecological momentary assessment and machine learning techniques to predict depressive symptoms in emerging adults

Psychiatry research

Usue De la Barrera

Flavia Arrigoni

Carlos Monserrat

Inmaculada Montoya-Castilla

José-Antonio Gil-Gómez

2024/2/1

AI Watch: Revisiting Technology Readiness Levels for relevant Artificial Intelligence technologies

Fernando Martinez Plumed

Fernando Caballero Benítez

David Castellano Falcón

David Fernandez Llorca

Emilia Gomez

...

2022/5

Further Details on Predicting IRT Difficulty

Fernando Martínez Plumed

David Castellano Falcón

Carlos Monserrat Aranda

José Hernández Orallo

2022/3/9

When ai difficulty is easy: The explanatory power of predicting irt difficulty

Proceedings of the AAAI Conference on Artificial Intelligence

Fernando Martínez-Plumed

David Castellano

Carlos Monserrat-Aranda

José Hernández-Orallo

2022/6/28

Risk assessment of hip fracture based on machine learning

Applied Bionics and Biomechanics

Alessio Galassi

José D Martín-Guerrero

Eduardo Villamor

Carlos Monserrat

María José Rupérez

2020/12/22

A new system for 3D planning of orthodontic treatment and 3D tooth movement simulation

M Alcañiz

F Chinesta

S Albalat

V Grau

C Monserrat

2020/9/10

Prediction of osteoporotic hip fracture in postmenopausal women through patient-specific FE analyses and machine learning

Computer Methods and Programs in Biomedicine

E Villamor

Carlos Monserrat

L Del Río

JA Romero-Martín

María José Rupérez

2020/9/1

Learning alternative ways of performing a task

Expert Systems with Applications

David Nieves

María José Ramírez-Quintana

Carlos Monserrat

Cèsar Ferri

José Hernández-Orallo

2020/6/15

See List of Professors in C. Monserrat University(Universidad Politécnica de València)