Gonzalo Martínez Muñoz

Gonzalo Martínez Muñoz

Universidad Autónoma de Madrid

H-index: 23

Europe-Spain

About Gonzalo Martínez Muñoz

Gonzalo Martínez Muñoz, With an exceptional h-index of 23 and a recent h-index of 15 (since 2020), a distinguished researcher at Universidad Autónoma de Madrid, specializes in the field of Machine learning, Artificial Intelligence, Computer Vision.

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

Deep Learning for Multi-Output Regression using Gradient Boosting

A Randomized Ensemble Based on Distinguishing Output Labellings]{A Randomized Ensemble Based on Distinguishing Output Labellings

Multi-Task Gradient Boosting

A gradient boosting approach for training convolutional and deep neural networks

Sequential training of neural networks with gradient boosting

Machine learning methods to estimate observational properties of galaxy clusters in large volume cosmological N-body simulations

Multioutput Regression Neural Network Training via Gradient Boosting.

Condensed Gradient Boosting

Gonzalo Martínez Muñoz Information

University

Position

___

Citations(all)

3108

Citations(since 2020)

1669

Cited By

1848

hIndex(all)

23

hIndex(since 2020)

15

i10Index(all)

35

i10Index(since 2020)

24

Email

University Profile Page

Universidad Autónoma de Madrid

Google Scholar

View Google Scholar Profile

Gonzalo Martínez Muñoz Skills & Research Interests

Machine learning

Artificial Intelligence

Computer Vision

Top articles of Gonzalo Martínez Muñoz

Title

Journal

Author(s)

Publication Date

Deep Learning for Multi-Output Regression using Gradient Boosting

IEEE Access

Seyedsaman Emami

Gonzalo Martínez-Muñoz

2024/1/26

A Randomized Ensemble Based on Distinguishing Output Labellings]{A Randomized Ensemble Based on Distinguishing Output Labellings

Mario Calle-Romero

Gonzalo Martínez-Muñoz

2023/11/13

Multi-Task Gradient Boosting

Seyedsaman Emami

Carlos Ruiz Pastor

Gonzalo Martínez-Muñoz

2023/8/29

A gradient boosting approach for training convolutional and deep neural networks

IEEE Open Journal of Signal Processing

Seyedsaman Emami

Gonzalo Martínez-Muñoz

2023/5/22

Sequential training of neural networks with gradient boosting

IEEE Access

Seyedsaman Emami

Gonzalo Martínez-Muñoz

2023/4/28

Machine learning methods to estimate observational properties of galaxy clusters in large volume cosmological N-body simulations

Monthly Notices of the Royal Astronomical Society

Daniel de Andres

Gustavo Yepes

Federico Sembolini

Gonzalo Martínez-Muñoz

Weiguang Cui

...

2023/1

Multioutput Regression Neural Network Training via Gradient Boosting.

Seyedsaman Emami

Gonzalo Martínez-Muñoz

2022

Condensed Gradient Boosting

arXiv preprint arXiv:2211.14599

Seyedsaman Emami

Gonzalo Martínez-Muñoz

2022/11/26

SVM ensembles on a budget

Artificial Neural Networks and Machine Learning–ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV

David Nevado Catalán

Gonzalo Martínez Muñoz

Alberto Suárez González

2022/9/7

Correction to

International Journal of Social Robotics

Maryam Sabzevari

Gonzalo Martínez-Muñoz

Alberto Suárez

2022

An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation

Pattern Recognition

Amgad M Mohammed

Enrique Onieva

Michał Woźniak

Gonzalo Martinez-Munoz

2022/4/1

Correction to: Building heterogeneous ensembles by pooling homogeneous ensembles (International Journal of Machine Learning and Cybernetics,(2021), 10.1007/s13042-021-01442-1)

Maryam Sabzevari

Gonzalo Martínez-Muñoz

Alberto Suárez

2022/2

Building heterogeneous ensembles by pooling homogeneous ensembles

International Journal of Machine Learning and Cybernetics

Maryam Sabzevari

Gonzalo Martínez-Muñoz

Alberto Suárez

2021/10/13

A comparative analysis of gradient boosting algorithms

Artificial Intelligence Review

Candice Bentéjac

Anna Csörgő

Gonzalo Martínez-Muñoz

2021/3

A machine learning model to assess the ecosystem response to water policy measures in the Tagus River Basin (Spain)

Science of the Total Environment

Carlotta Valerio

Lucia De Stefano

Gonzalo Martínez-Muñoz

Alberto Garrido

2021/1/1

Identifying cheating users in online courses

Vicenzo Abichequer Sangalli

Gonzalo Martinez-Muñoz

Estrella Pulido Cañabate

2020/4/27

A machine learning model to link ecological response and anthropogenic stressors: a tool for water management in the Tagus River Basin (Spain)

EGU General Assembly Conference Abstracts

Carlotta Valerio

Alberto Garrido

Gonzalo Martinez-Muñoz

Lucia De Stefano

2020/5

See List of Professors in Gonzalo Martínez Muñoz University(Universidad Autónoma de Madrid)

Co-Authors

H-index: 89
Thomas Dietterich

Thomas Dietterich

Oregon State University

H-index: 52
Sinisa Todorovic

Sinisa Todorovic

Oregon State University

H-index: 41
David A. Lytle

David A. Lytle

Oregon State University

H-index: 26
Alberto Suárez

Alberto Suárez

Universidad Autónoma de Madrid

H-index: 25
Daniel Hernández-Lobato

Daniel Hernández-Lobato

Universidad Autónoma de Madrid

H-index: 24
Ioannis Katakis

Ioannis Katakis

University of Nicosia

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