Mario A. Góngora

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 23

Top Topics

Operational Risk

Fuzzy Association Rule Mining

Adaptive Mutation

Top Venues

Appl. Soft Comput.

Publications

Alejandro Peña, Alejandro Patino, Francisco Chiclana, Fabio Caraffini, Mario A. Góngora, Juan David Gonzalez-Ruiz, Eduardo Duque-Grisales
Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events. Appl. Soft Comput. 107 (2021)
Isis Bonet, Alejandro Peña, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario A. Góngora
Applying fuzzy scenarios for the measurement of operational risk. Appl. Soft Comput. 112 (2021)
Simon Colreavy-Donnelly, Fabio Caraffini, Stefan Kuhn, Mario A. Góngora, Johana Florez-Lozano, Carlos Parra
Shallow buried improvised explosive device detection via convolutional neural networks. Integr. Comput. Aided Eng. 27 (4) (2020)
Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario A. Góngora
A Robust Decision-Making Framework Based on Collaborative Agents. IEEE Access 8 (2020)
Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario A. Góngora
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CoRR (2020)
Conor Fahy, Fabio Caraffini, Mario A. Góngora
A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations. CEC (2020)
Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario A. Góngora
Oil Palm Detection via Deep Transfer Learning. CEC (2020)
Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario A. Góngora
Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. Inf. Fusion 64 (2020)
Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario A. Góngora
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CEC (2020)
Alejandro Peña, Isis Bonet, Christian Lochmuller, Marta S. Tabares, Carlos C. Piedrahita, Carmen C. Sánchez, Lillyana María Giraldo Marín, Mario A. Góngora, Francisco Chiclana
A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs. Soft Comput. 23 (20) (2019)
Juan David Gonzalez-Ruiz, Alejandro Peña, Eduardo Alexander Duque, Héctor Alejandro Patiño, Francisco Chiclana, Mario A. Góngora
Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects. Appl. Soft Comput. 85 (2019)
Isis Bonet, Alejandro Peña, Christian Lochmuller, Alejandro Patino, Mario A. Góngora
Deep Clustering for Metagenomics. CIBB (2019)
Conor Fahy, Shengxiang Yang, Mario A. Góngora
Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams. IEEE Trans. Cybern. 49 (6) (2019)
Alejandro Peña, Isis Bonet, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario A. Góngora
A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events. Knowl. Based Syst. 159 (2018)
Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario A. Góngora
An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management. Expert Syst. Appl. 98 (2018)
Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario A. Góngora
Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management. Appl. Soft Comput. 65 (2018)
Jayne Eaton, Shengxiang Yang, Mario A. Góngora
Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling. IEEE Trans. Intell. Transp. Syst. 18 (11) (2017)
Conor Fahy, Shengxiang Yang, Mario A. Góngora
Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters. CEC (2017)
Darren M. Chitty, Shengxiang Yang, Mario A. Góngora
Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules. MENDEL (2017)
Darren M. Chitty, Shengxiang Yang, Mario A. Góngora
Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules. SSCI (2017)
Darren M. Chitty, Mario A. Góngora, Shengxiang Yang
Evolutionary dynamic optimisation of airport security lane schedules. SSCI (2016)
Chigozirim J. Uzor, Mario A. Góngora, Simon Coupland, Benjamin N. Passow
Adaptive-mutation compact genetic algorithm for dynamic environments. Soft Comput. 20 (8) (2016)
Sunday Iliya, Eric Goodyer, John A. Gow, Jethro Shell, Mario A. Góngora
Application of Artificial Neural Network and Support Vector Regression in cognitive radio networks for RF power prediction using compact differential evolution algorithm. FedCSIS (2015)
Sunday Iliya, Eric Goodyer, Mario A. Góngora, Jethro Shell, John A. Gow
Optimized artificial neural network using differential evolution for prediction of RF power in VHF/UHF TV and GSM 900 bands for cognitive radio networks. UKCI (2014)
Chigozirim J. Uzor, Mario A. Góngora, Simon Coupland, Benjamin N. Passow
Real-world dynamic optimization using an adaptive-mutation compact genetic algorithm. CIDUE (2014)
Chigozirim J. Uzor, Mario A. Góngora, Simon Coupland, Benjamin N. Passow
Adaptive mutation in dynamic environments. UKCI (2014)
Stephen G. Matthews, Mario A. Góngora, Adrian A. Hopgood, Samad Ahmadi
Web usage mining with evolutionary extraction of temporal fuzzy association rules. Knowl. Based Syst. 54 (2013)
Stephen G. Matthews, Mario A. Góngora, Adrian A. Hopgood
Evolutionary algorithms and fuzzy sets for discovering temporal rules. Int. J. Appl. Math. Comput. Sci. 23 (4) (2013)
Fabio Caraffini, Ferrante Neri, Mario A. Góngora, Benjamin N. Passow
Re-sampling search: A seriously simple memetic approach with a high performance. Memetic Computing (2013)
Simon Miller, Mario A. Góngora, Jonathan M. Garibaldi, Robert I. John
Interval type-2 fuzzy modelling and stochastic search for real-world inventory management. Soft Comput. 16 (8) (2012)
Stephen G. Matthews, Mario A. Góngora, Adrian A. Hopgood, Samad Ahmadi
Temporal fuzzy association rule mining with 2-tuple linguistic representation. FUZZ-IEEE (2012)
Benjamin N. Passow, Mario A. Góngora, Adrian A. Hopgood, Sophy Smith
Intelligent acoustic rotor speed estimation for an autonomous helicopter. Appl. Soft Comput. 12 (11) (2012)
Stephen G. Matthews, Mario A. Góngora, Adrian A. Hopgood
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm. HAIS (1) (2011)
David Irvine, Mario A. Góngora
Intelligent agents based on a hybrid adaptable structure and a biologically inspired memory. HIMA (2011)
David Irvine, Mario A. Góngora
Storing objects in a short-term biologically inspired memory system for artificial agents. CCMB (2011)
Stephen G. Matthews, Mario A. Góngora, Adrian A. Hopgood
Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm. GEFS (2011)
Simon Miller, Mario A. Góngora, Robert I. John
Interval Type-2 Fuzzy Modelling and Simulated Annealing for Real-World Inventory Management. HAIS (1) (2011)
David Irvine, Mario A. Góngora
Storage, degradation and recall of agent memory in Serious Games and Simulations. IEEE Conf. of Intelligent Systems (2010)
David Irvine, Mario A. Góngora
CogBox - Combined Artificial Intelligence Methodologies to Achieve a Semi-realistic Agent in Serious Games. ICAISC (2) (2010)
Simon Miller, Mario A. Góngora, Viara Popova
Optimising resource plans using an Interval Type-2 Fuzzy model. GEFS (2010)
Mario A. Góngora, David Irvine
ReAd: reactive-adaptive methodology to enable evolving intelligent agents for virtual environments. Evol. Syst. 1 (2) (2010)
Benjamin N. Passow, Simon Coupland, Mario A. Góngora
Mitigating the effect of background noise in sound based helicopter control. FUZZ-IEEE (2010)
Andreas Huemer, Mario A. Góngora, David A. Elizondo
A robust reinforcement based self constructing neural network. IJCNN (2010)
Stephen G. Matthews, Mario A. Góngora, Adrian A. Hopgood
Evolving Temporal Association Rules with Genetic Algorithms. SGAI Conf. (2010)
Simon Miller, Mario A. Góngora, Robert I. John
Inventory optimisation with an Interval Type-2 Fuzzy model. FUZZ-IEEE (2010)
Benjamin N. Passow, Mario A. Góngora, Sophy Smith, Adrian A. Hopgood
Managing uncertainty in sound based control for an autonomous helicopter. CIVVS (2009)
Simon Miller, Viara Popova, Robert I. John, Mario A. Góngora
An Interval Type-2 Fuzzy Distribution Network. IFSA/EUSFLAT Conf. (2009)
Mario A. Góngora, Benjamin N. Passow, Adrian A. Hopgood
Robustness analysis of evolutionary controller tuning using real systems. IEEE Congress on Evolutionary Computation (2009)
Benjamin N. Passow, Sophy Smith, Mario A. Góngora, Adrian A. Hopgood
Supervised Control of a Flying Performing Robot Using Its Intrinsic Sound. CSIE (5) (2009)
Andreas Huemer, David A. Elizondo, Mario A. Góngora
A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers. ICANN (2) (2008)
Andreas Huemer, Mario A. Góngora, David A. Elizondo
Evolving a neural network using dyadic connections. IJCNN (2008)
Benjamin N. Passow, Mario A. Góngora
Optimising a Flying Robot - Controller Optimisation using a Genetic Algorithm on a Real-World Robot. ICINCO-RA (2) (2008)
Andreas Huemer, Mario A. Góngora, David A. Elizondo
Self Constructing Neural Network Robot Controller based on On-line Task Performance Feedback. ICINCO-ICSO (2008)
Benjamin N. Passow, Mario A. Góngora, Simon Coupland, Adrian A. Hopgood
Real-time evolution of an embedded controller for an autonomous helicopter. IEEE Congress on Evolutionary Computation (2008)
Simon Coupland, James Wheeler, Mario A. Góngora
A generalised type-2 fuzzy logic system embedded board and integrated development environment. FUZZ-IEEE (2008)
David A. Elizondo, Ralph Birkenhead, Mario A. Góngora, Éric D. Taillard, Patrick Luyima
Analysis and test of efficient methods for building recursive deterministic perceptron neural networks. Neural Networks 20 (10) (2007)
Mario A. Góngora, Wasiq Ashfaq
Analysis of Passenger Movement at Birmingham International Airport using Evolutionary Techniques. IEEE Congress on Evolutionary Computation (2006)
Mario A. Góngora, Tim Watson, David A. Elizondo
A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries. ICANN (2) (2005)
David A. Elizondo, Mario A. Góngora
Current Trends on Knowledge Extraction and Neural Networks. ICANN (2) (2005)