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ORCIDM. Paz Sesmero Lorente
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2020 – today
- 2024
[j9]David Yagüe-Cuevas
, Pablo Marín-Plaza, María Paz Sesmero, Araceli Sanchis:
Mission based systems for connected automated mobility. Robotics Auton. Syst. 180: 104772 (2024)- [c11]José Antonio Iglesias, José María Monterrubio, María Paz Sesmero, Araceli Sanchis:
Generation and Evaluation of Medical Images Based on Diffusion Models. EAIS 2024: 1-8 - 2023
- [c10]David Yagüe-Cuevas, Pablo Marín-Plaza, María Paz Sesmero, Araceli Sanchis:
Towards a Robust Traffic Scene Representation in Cooperative Connected Automated Mobility. VEHITS 2023: 265-272 - 2022
- [j8]Igor Skrjanc, Goran Andonovski, José Antonio Iglesias, María Paz Sesmero, Araceli Sanchis:
Evolving Gaussian on-line clustering in social network analysis. Expert Syst. Appl. 207: 117881 (2022) - [j7]Edwar Javier Giron Buitron, David Camilo Corrales, María Paz Sesmero, José Antonio Iglesias, Juan Carlos Corrales:
Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling. Evol. Syst. 13(4): 625-636 (2022) - 2021
- [j6]M. Paz Sesmero Lorente, José Antonio Iglesias, Elena Magán, Agapito Ledezma, Araceli Sanchis:
Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. Appl. Soft Comput. 111: 107689 (2021) - 2020
- [j5]María Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Araceli Sanchis:
CCE: An ensemble architecture based on coupled ANN for solving multiclass problems. Inf. Fusion 58: 132-152 (2020) - [c9]José Antonio Iglesias Martinez, María Paz Sesmero Lorente, Elena Magán López, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners. EAIS 2020: 1-8 - [c8]Elena Magán, Agapito Ledezma, M. Paz Sesmero Lorente, Araceli Sanchis:
Fuzzy Alarm System based on Human-centered Approach. VEHITS 2020: 448-455
2010 – 2019
- 2019
- [c7]Paula de Toledo, Carolin Joppien, María Paz Sesmero, Paul Drews:
Mining Disease Courses across Organizations: A Methodology Based on Process Mining of Diagnosis Events Datasets. EMBC 2019: 354-357 - [e1]Raquel Fuentetaja Pizán, Ángel García Olaya, María Paz Sesmero Lorente, José Antonio Iglesias Martinez, Agapito Ledezma Espino:
Advances in Physical Agents - Proceedings of the 19th International Workshop of Physical Agents (WAF 2018), November 22-23, 2018, Madrid, Spain. Advances in Intelligent Systems and Computing 855, Springer 2019, ISBN 978-3-319-99884-8 [contents] - 2018
- [c6]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Alessandro Giuliani, Giuliano Armano, Araceli Sanchis:
Measuring Diversity and Accuracy in ANN Ensembles. CAEPIA 2018: 108-117 - 2017
- [c5]Germán Gutiérrez, M. Paz Sesmero Lorente, Araceli Sanchis:
Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model. IWANN (2) 2017: 210-221 - 2016
- [c4]Germán Gutiérrez, M. Paz Sesmero Lorente, Araceli Sanchis:
Forecasting time series by an ensemble of Artificial Neural Networks based on transforming the time series. SMC 2016: 4769-4774 - 2015
- [j4]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
An ensemble approach of dual base learners for multi-class classification problems. Inf. Fusion 24: 122-136 (2015) - [j3]M. Paz Sesmero Lorente, Agapito Ledezma, Araceli Sanchis:
Generating ensembles of heterogeneous classifiers using Stacked Generalization. WIREs Data Mining Knowl. Discov. 5(1): 21-34 (2015) - 2014
- [j2]Juan Manuel Alonso-Weber, M. Paz Sesmero Lorente, Araceli Sanchis:
Combining additive input noise annealing and pattern transformations for improved handwritten character recognition. Expert Syst. Appl. 41(18): 8180-8188 (2014) - [c3]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Araceli Sanchis:
CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners. HAIS 2014: 630-641 - 2013
- [c2]Juan Manuel Alonso-Weber, M. Paz Sesmero Lorente, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging. ICANN 2013: 335-342 - 2012
- [j1]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
A new artificial neural network ensemble based on feature selection and class recoding. Neural Comput. Appl. 21(4): 771-783 (2012)
2000 – 2009
- 2009
- [r1]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez Sánchez, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
Ensemble of ANN for Traffic Sign Recognition. Encyclopedia of Artificial Intelligence 2009: 554-560 - 2007
- [c1]M. Paz Sesmero Lorente, Juan Manuel Alonso-Weber, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Specialized Ensemble of Classifiers for Traffic Sign Recognition. IWANN 2007: 733-740
Coauthor Index
aka: Araceli Sanchis de Miguel
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