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Mercedes Torres
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2020 – today
- 2021
- [j12]Alejandro García-Jurado, Mercedes Torres-Jiménez, Antonio L. Leal-Rodríguez, Pilar Castro-González:
Does gamification engage users in online shopping? Electron. Commer. Res. Appl. 48: 101076 (2021) - 2020
- [j11]Dragan Pamucar, Morteza Yazdani, Radojko Obradovic, Anil Kumar, Mercedes Torres-Jiménez:
A novel fuzzy hybrid neutrosophic decision-making approach for the resilient supplier selection problem. Int. J. Intell. Syst. 35(12): 1934-1986 (2020)
2010 – 2019
- 2019
- [j10]Alejandro García-Jurado, Pilar Castro-González, Mercedes Torres-Jiménez, Antonio L. Leal-Rodríguez:
Evaluating the role of gamification and flow in e-consumers: millennials versus generation X. Kybernetes 48(6): 1278-1300 (2019) - 2017
- [j9]Francisco Fernández-Navarro, Mariano Carbonero-Ruz, David Becerra-Alonso, Mercedes Torres-Jiménez:
Global Sensitivity Estimates for Neural Network Classifiers. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2592-2604 (2017) - [c10]Mercedes Torres, Michel F. Valstar, Caroline Henry, Carole Ward, Don Sharkey:
Small Sample Deep Learning for Newborn Gestational Age Estimation. FG 2017: 79-86 - [c9]Angelo Cafaro, Johannes Wagner, Tobias Baur, Soumia Dermouche, Mercedes Torres, Catherine Pelachaud, Elisabeth André, Michel F. Valstar:
The NoXi database: multimodal recordings of mediated novice-expert interactions. ICMI 2017: 350-359 - 2016
- [j8]Mercedes Torres, Guoping Qiu:
Habitat image annotation with low-level features, medium-level knowledge and location information. Multim. Syst. 22(6): 767-782 (2016) - [c8]Sergio Escalera, Mercedes Torres, Brais Martínez, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Georgios Tzimiropoulos, Ciprian A. Corneanu, Marc Oliu, Mohammad Ali Bagheri, Michel F. Valstar:
ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016. CVPR Workshops 2016: 706-713 - [c7]María Pérez-Ortiz, Mercedes Torres-Jiménez, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Martínez:
Fisher Score-Based Feature Selection for Ordinal Classification: A Social Survey on Subjective Well-Being. HAIS 2016: 597-608 - [c6]Michel F. Valstar, Jonathan Gratch, Björn W. Schuller, Fabien Ringeval, Denis Lalanne, Mercedes Torres, Stefan Scherer, Giota Stratou, Roddy Cowie, Maja Pantic:
AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge. AVEC@ACM Multimedia 2016: 3-10 - [i1]Michel F. Valstar, Jonathan Gratch, Björn W. Schuller, Fabien Ringeval, Denis Lalanne, Mercedes Torres, Stefan Scherer, Giota Stratou, Roddy Cowie, Maja Pantic:
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge. CoRR abs/1605.01600 (2016) - 2015
- [j7]Mercedes Torres-Jiménez, Carlos R. García-Alonso, Luis Salvador-Carulla, Vicente Fernández-Rodríguez:
Evaluation of system efficiency using the Monte Carlo DEA: The case of small health areas. Eur. J. Oper. Res. 242(2): 525-535 (2015) - [j6]Mercedes Torres-Jiménez, Carlos R. García-Alonso, Javier Sánchez-Monedero, Salud Millán-Lara, César Hervás-Martínez:
Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency. Prog. Artif. Intell. 4(3-4): 59-67 (2015) - [c5]Carlos R. García-Alonso, César Hervás-Martínez, Salud Millán-Lara, Mercedes Torres-Jiménez:
Evolutionary Product Unit Logistic Regression: The Case of Agrarian Efficiency. CAEPIA 2015: 92-102 - 2014
- [j5]Mercedes Torres, Guoping Qiu:
Automatic habitat classification using image analysis and random forest. Ecol. Informatics 23: 126-136 (2014) - [c4]Mercedes Torres, Guoping Qiu:
Crowd-sourcing Applied to Photograph-Based Automatic Habitat Classification. MAED@MM 2014: 19-24 - 2013
- [c3]Mercedes Torres, Guoping Qiu:
Habitat classification using random forest based image annotation. ICIP 2013: 1491-1495 - 2012
- [c2]Mercedes Torres, Guoping Qiu:
Grass, scrub, trees and random forest. MAED@ACM Multimedia 2012: 1-6 - 2011
- [j4]Francisco Fernández-Navarro, César Hervás-Martínez, Carlos R. García-Alonso, Mercedes Torres-Jiménez:
Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity. Expert Syst. Appl. 38(10): 12483-12490 (2011) - [c1]Mercedes Torres, Guoping Qiu:
Picture the past from the present. ICIMCS 2011: 51-54 - 2010
- [j3]Carlos R. García-Alonso, Mercedes Torres-Jiménez, César Hervás-Martínez:
Income prediction in the agrarian sector using product unit neural networks. Eur. J. Oper. Res. 204(2): 355-365 (2010)
2000 – 2009
- 2009
- [j2]Mercedes Torres, César Hervás, Carlos García:
Multinomial logistic regression and product unit neural network models: Application of a new hybrid methodology for solving a classification problem in the livestock sector. Expert Syst. Appl. 36(10): 12225-12235 (2009) - 2005
- [j1]Mercedes Torres, César Hervás-Martínez, Francisco Amador:
Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms. Comput. Oper. Res. 32: 2653-2670 (2005)
Coauthor Index
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