Beatriz López

Beatriz López

Universidad de Gerona

H-index: 26

Europe-Spain

About Beatriz López

Beatriz López, With an exceptional h-index of 26 and a recent h-index of 13 (since 2020), a distinguished researcher at Universidad de Gerona, specializes in the field of Artificial Intelligence.

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

Frequent patterns of childhood overweight from longitudinal data on parental and early-life of infants health

CauRuler: Causal irredundant association rule miner for complex patient trajectory modelling

TDApp/APPRAISE

Hipertension demand forecasting using Cross-Correlation and lagged Multiple Linear Regression Models for anticipatinghHealth resources needs

Management of Patient and Physician Preferences and Explanations for Participatory Evaluation of Treatment with an Ethical Seal

Computational-based biomarkers for mental and emotional health

APPRAISE-RS: Automated, updated, participatory, and personalized treatment recommender systems based on GRADE methodology

Speed networking as team mentoring tool for empowering young women engineering students

Beatriz López Information

University

Position

___

Citations(all)

3433

Citations(since 2020)

781

Cited By

2953

hIndex(all)

26

hIndex(since 2020)

13

i10Index(all)

55

i10Index(since 2020)

19

Email

University Profile Page

Universidad de Gerona

Google Scholar

View Google Scholar Profile

Beatriz López Skills & Research Interests

Artificial Intelligence

Top articles of Beatriz López

Title

Journal

Author(s)

Publication Date

Frequent patterns of childhood overweight from longitudinal data on parental and early-life of infants health

Beatriz López Ibáñez

Abel López Bermejo

Judit Bassols Casadevall

2024

CauRuler: Causal irredundant association rule miner for complex patient trajectory modelling

Computers in Biology and Medicine, 2023, vol. 155, art. núm. 106636

Guillem Hernández Guillamet

Francesc López Seguí

Josep Vidal-Alaball

Beatriz López Ibáñez

2023

TDApp/APPRAISE

Xavier Castells Cervelló

Beatriz López Ibáñez

Òscar Raya i Casanova

Marc Sáez Zafra

Domènec Serrano Sarbosa

...

2023

Hipertension demand forecasting using Cross-Correlation and lagged Multiple Linear Regression Models for anticipatinghHealth resources needs

Frontiers in Artificial Intelligence and Applications (Ebook Series), 2023, vol. 375, p. 193-203

Guillem Hernández Guillamet

Beatriz López Ibáñez

Oriol Estrada Cuxart

Francesc López Seguí

2023/10/10

Management of Patient and Physician Preferences and Explanations for Participatory Evaluation of Treatment with an Ethical Seal

Oscar Raya

Xavier Castells

David Ramírez

Beatriz López

2023/6/5

Computational-based biomarkers for mental and emotional health

Neural Computing and Applications

José Ramón Villar

Ainhoa Yera

Beatriz López

2023/3

APPRAISE-RS: Automated, updated, participatory, and personalized treatment recommender systems based on GRADE methodology

Heliyon

Beatriz López

Oscar Raya

Evgenia Baykova

Marc Saez

David Rigau

...

2023/2/1

Speed networking as team mentoring tool for empowering young women engineering students

B Lopez

M Baena

B Innocenti

N Mancebo

I Ferrer

2022

Placebo response and its predictors in Attention Deficit Hyperactivity Disorder: a meta-analysis and comparison of meta-regression and MetaForest

International Journal of Neuropsychopharmacology

Xavier Castells

Marc Saez

Maghie Barcheni

Ruth Cunill

Domènec Serrano

...

2022/1/1

HTE 3.0: Knowledge-based systems in cascade for familial hypercholesterolemia detection and dyslipidemia treatment

Expert Systems, 2022, vol. 39, núm. 1, p. e12835

Beatriz López Ibáñez

Ferran Torrent-Fontbona

Lluís Masana Marín

Alberto Zamora Cervantes

2022/1/1

VEPRECO: Vertical databases with pre-pruning strategies and common candidate selection policies to fasten sequential pattern mining

Expert Systems with Applications

Natalia Mordvanyuk

Albert Bifet

Beatriz López

2022/10/15

Case-based reasoning: a concise introduction

Beatriz López

2022/5/31

TA4L: Efficient temporal abstraction of multivariate time series

Knowledge-Based Systems

Natalia Mordvanyuk

Beatriz López

Albert Bifet

2022/5/23

Insulin recommender systems for T1DM: A review

Joaquim Massana

Ferran Torrent-Fontbona

Beatriz López

2021

Understanding affective behaviour from physiological signals: Feature learning versus pattern mining

Natalia Mordvanyuk

Jaume Gauchola

Beatriz López

2021/6/7

vertTIRP: Robust and efficient vertical frequent time interval-related pattern mining

Expert Systems with Applications

Natalia Mordvanyuk

Beatriz López

Albert Bifet

2021/4/15

Safety and feasibility of the PEPPER adaptive bolus advisor and safety system: a randomized control study

Diabetes Technology & Therapeutics

Parizad Avari

Yenny Leal

Pau Herrero

Marzena Wos

Narvada Jugnee

...

2021/3/1

A new method of dimensionality reduction for large time series applied to accelerometer wristbands’ signals

Alihuén García Pavioni

Beatriz López Ibáñez

2021

Signaleeg: A practical tool for EEG signal data mining

Neuroinformatics

Joaquim Massana

Òscar Raya

Jaume Gauchola

Beatriz Lopez

2021/1/21

Forecasting of emergency department attendances in a tourist region with an operational time horizon

Beatriz López Ibáñez

Ferran Torrent-Fontbona

J Roman

José María Inoriza

2021

See List of Professors in Beatriz López University(Universidad de Gerona)

Co-Authors

H-index: 43
Antonio Moreno

Antonio Moreno

Universidad Rovira i Virgili

H-index: 42
Joaquim Salvi (ORCID: 0000-0002-9482-7126)

Joaquim Salvi (ORCID: 0000-0002-9482-7126)

Universidad de Gerona

H-index: 31
Aida Valls

Aida Valls

Universidad Rovira i Virgili

H-index: 19
David Riaño

David Riaño

Universidad Rovira i Virgili

H-index: 16
Arantza Aldea

Arantza Aldea

Oxford Brookes University

H-index: 7
Pablo Gay

Pablo Gay

Universidad de Gerona

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