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ORCIDMario Gongora 0001
Person information
- affiliation: De Montfort University, Leicester, United Kingdom
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Books and Theses
- 1998
[b1]Mario Augusto Gongora:
Artificial intelligence tools for path generation and optimisation for mobile robots. University of Warwick, Coventry, UK, 1998
Journal Articles
- 2023
- [j25]Alejandro Peña, Juan C. Tejada
, Juan David Gonzalez-Ruiz, Lina María Sepúlveda-Cano, Francisco Chiclana, Fabio Caraffini, Mario Gongora:
An evolutionary intelligent control system for a flexible joints robot. Appl. Soft Comput. 135: 110043 (2023) - [j24]Conor Fahy, Shengxiang Yang, Mario Gongora:
Scarcity of Labels in Non-Stationary Data Streams: A Survey. ACM Comput. Surv. 55(2): 40:1-40:39 (2023) - [j23]Conor Fahy, Shengxiang Yang, Mario Gongora:
Classification in Dynamic Data Streams With a Scarcity of Labels. IEEE Trans. Knowl. Data Eng. 35(4): 3512-3524 (2023) - 2022
- [j22]Fabio Caraffini, Francisco Chiclana, Raymond Moodley, Mario Gongora:
Applications of computational intelligence-based systems for societal enhancement. Int. J. Intell. Syst. 37(4): 2679-2682 (2022) - [j21]Raymond Moodley, Francisco Chiclana, Fabio Caraffini, Mario Gongora:
Using self-organising maps to predict and contain natural disasters and pandemics. Int. J. Intell. Syst. 37(4): 2739-2757 (2022) - 2021
- [j20]Alejandro Peña, Alejandro Patino, Francisco Chiclana, Fabio Caraffini, Mario Gongora, 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: 107381 (2021) - [j19]Isis Bonet, Alejandro Peña, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora:
Applying fuzzy scenarios for the measurement of operational risk. Appl. Soft Comput. 112: 107785 (2021) - 2020
- [j18]Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
A Robust Decision-Making Framework Based on Collaborative Agents. IEEE Access 8: 150974-150988 (2020) - [j17]Simon Colreavy-Donnelly, Fabio Caraffini, Stefan Kuhn, Mario Gongora, Johana Florez-Lozano, Carlos Parra:
Shallow buried improvised explosive device detection via convolutional neural networks. Integr. Comput. Aided Eng. 27(4): 403-416 (2020) - [j16]Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. Inf. Fusion 64: 32-49 (2020) - 2019
- [j15]Juan David Gonzalez-Ruiz, Alejandro Peña, Eduardo Alexander Duque, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora:
Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects. Appl. Soft Comput. 85 (2019) - [j14]Alejandro Peña, Isis Bonet, Christian Lochmuller, Marta S. Tabares, Carlos C. Piedrahita, Carmen C. Sánchez, Lillyana María Giraldo Marín, Mario Gongora, Francisco Chiclana:
A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs. Soft Comput. 23(20): 10537-10550 (2019) - [j13]Conor Fahy, Shengxiang Yang, Mario Gongora:
Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams. IEEE Trans. Cybern. 49(6): 2215-2228 (2019) - 2018
- [j12]Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario Gongora:
Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management. Appl. Soft Comput. 65: 614-631 (2018) - [j11]Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario Gongora:
An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management. Expert Syst. Appl. 98: 11-26 (2018) - [j10]Alejandro Peña, Isis Bonet, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora:
A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events. Knowl. Based Syst. 159: 98-109 (2018) - 2017
- [j9]Jayne Eaton, Shengxiang Yang, Mario Gongora:
Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling. IEEE Trans. Intell. Transp. Syst. 18(11): 2980-2992 (2017) - 2016
- [j8]Chigozirim J. Uzor, Mario Gongora, Simon Coupland, Benjamin N. Passow:
Adaptive-mutation compact genetic algorithm for dynamic environments. Soft Comput. 20(8): 3097-3115 (2016) - 2013
- [j7]Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood:
Evolutionary algorithms and fuzzy sets for discovering temporal rules. Int. J. Appl. Math. Comput. Sci. 23(4): 855-868 (2013) - [j6]Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood, Samad Ahmadi:
Web usage mining with evolutionary extraction of temporal fuzzy association rules. Knowl. Based Syst. 54: 66-72 (2013) - 2012
- [j5]Benjamin N. Passow, Mario Gongora, Adrian A. Hopgood, Sophy Smith:
Intelligent acoustic rotor speed estimation for an autonomous helicopter. Appl. Soft Comput. 12(11): 3313-3324 (2012) - [j4]Simon Miller, Mario Gongora, Jonathan M. Garibaldi, Robert I. John:
Interval type-2 fuzzy modelling and stochastic search for real-world inventory management. Soft Comput. 16(8): 1447-1459 (2012) - 2010
- [j3]Mario Gongora, David Irvine:
ReAd: reactive-adaptive methodology to enable evolving intelligent agents for virtual environments. Evol. Syst. 1(2): 111-127 (2010) - 2009
- [j2]Rafael Muñoz-Salinas, Eugenio Aguirre, Miguel García-Silvente, Aladdin Ayesh, Mario Gongora:
Multi-agent system for people detection and tracking using stereo vision in mobile robots. Robotica 27(5): 715-727 (2009) - 2007
- [j1]David A. Elizondo, Ralph Birkenhead, Mario Gongora, Éric D. Taillard, Patrick Luyima:
Analysis and test of efficient methods for building recursive deterministic perceptron neural networks. Neural Networks 20(10): 1095-1108 (2007)
Conference and Workshop Papers
- 2024
- [c42]Isis Bonet, Mario Gongora, Fernando Acevedo, Ivan Ochoa:
Deep Learning Model to Predict the Ripeness of Oil Palm Fruit. ICAART (3) 2024: 1068-1075 - 2023
- [c41]Alejandro Peña, Alejandro Puerta, Isis Bonet, Fabio Caraffini, Mario Gongora, Ivan Ochoa:
A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. EvoApplications@EvoStar 2023: 491-506 - 2022
- [c40]Cristian Berrío-Zapata, Ester Ferreira da Silva, Mayara Costa Pinheiro, Vinicius Augusto Carvalho de Abreu, Cristiano Mendel Martins, Mario Augusto Gongora, Kelso Dunman:
The Arquive of Tatuoca Magnetic Observatory Brazil: from paper to intelligent bytes. IEEE Big Data 2022: 2482-2489 - 2020
- [c39]Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario Gongora:
Oil Palm Detection via Deep Transfer Learning. CEC 2020: 1-8 - [c38]Conor Fahy, Fabio Caraffini, Mario Gongora:
A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations. CEC 2020: 1-7 - [c37]Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CEC 2020: 1-8 - 2019
- [c36]Isis Bonet, Alejandro Peña, Christian Lochmuller, Alejandro Patino, Mario Gongora:
Deep Clustering for Metagenomics. CIBB 2019: 335-347 - 2017
- [c35]Conor Fahy, Shengxiang Yang, Mario Gongora:
Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters. CEC 2017: 673-680 - [c34]Darren M. Chitty, Shengxiang Yang, Mario Gongora:
Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules. MENDEL 2017: 27-39 - [c33]Darren M. Chitty, Shengxiang Yang, Mario Gongora:
Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules. SSCI 2017: 1-8 - 2016
- [c32]Darren M. Chitty, Mario Gongora, Shengxiang Yang:
Evolutionary dynamic optimisation of airport security lane schedules. SSCI 2016: 1-8 - 2015
- [c31]Sunday Iliya, Eric Goodyer, John A. Gow, Jethro Shell, Mario Gongora:
Application of Artificial Neural Network and Support Vector Regression in cognitive radio networks for RF power prediction using compact differential evolution algorithm. FedCSIS 2015: 55-66 - 2014
- [c30]Chigozirim J. Uzor, Mario Gongora, Simon Coupland, Benjamin N. Passow:
Real-world dynamic optimization using an adaptive-mutation compact genetic algorithm. CIDUE 2014: 17-23 - [c29]Sunday Iliya, Eric Goodyer, Mario Gongora, 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: 1-6 - [c28]Chigozirim J. Uzor, Mario Gongora, Simon Coupland, Benjamin N. Passow:
Adaptive mutation in dynamic environments. UKCI 2014: 1-7 - 2013
- [c27]Fabio Caraffini, Ferrante Neri, Mario Gongora, Benjamin N. Passow:
Re-sampling search: A seriously simple memetic approach with a high performance. Memetic Computing 2013: 52-59 - 2012
- [c26]Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood, Samad Ahmadi:
Temporal fuzzy association rule mining with 2-tuple linguistic representation. FUZZ-IEEE 2012: 1-8 - 2011
- [c25]David Irvine, Mario Gongora:
Storing objects in a short-term biologically inspired memory system for artificial agents. CCMB 2011: 9-14 - [c24]Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood:
Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm. GEFS 2011: 9-16 - [c23]Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood:
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm. HAIS (1) 2011: 198-205 - [c22]Simon Miller, Mario Gongora, Robert I. John:
Interval Type-2 Fuzzy Modelling and Simulated Annealing for Real-World Inventory Management. HAIS (1) 2011: 231-238 - [c21]David Irvine, Mario Gongora:
Intelligent agents based on a hybrid adaptable structure and a biologically inspired memory. HIMA 2011: 84-89 - 2010
- [c20]Simon Miller, Mario Gongora, Robert I. John:
Inventory optimisation with an Interval Type-2 Fuzzy model. FUZZ-IEEE 2010: 1-7 - [c19]Benjamin N. Passow, Simon Coupland, Mario Gongora:
Mitigating the effect of background noise in sound based helicopter control. FUZZ-IEEE 2010: 1-8 - [c18]Simon Miller, Mario Gongora, Viara Popova:
Optimising resource plans using an Interval Type-2 Fuzzy model. GEFS 2010: 45-50 - [c17]David Irvine, Mario Gongora:
CogBox - Combined Artificial Intelligence Methodologies to Achieve a Semi-realistic Agent in Serious Games. ICAISC (2) 2010: 492-499 - [c16]Andreas Huemer, Mario Gongora, David A. Elizondo:
A robust reinforcement based self constructing neural network. IJCNN 2010: 1-7 - [c15]David Irvine, Mario Gongora:
Storage, degradation and recall of agent memory in Serious Games and Simulations. IEEE Conf. of Intelligent Systems 2010: 85-90 - [c14]Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood:
Evolving Temporal Association Rules with Genetic Algorithms. SGAI Conf. 2010: 107-120 - 2009
- [c13]Mario Gongora, Benjamin N. Passow, Adrian A. Hopgood:
Robustness analysis of evolutionary controller tuning using real systems. IEEE Congress on Evolutionary Computation 2009: 606-613 - [c12]Benjamin N. Passow, Mario Gongora, Sophy Smith, Adrian A. Hopgood:
Managing uncertainty in sound based control for an autonomous helicopter. CIVVS 2009: 80-86 - [c11]Benjamin N. Passow, Sophy Smith, Mario Gongora, Adrian A. Hopgood:
Supervised Control of a Flying Performing Robot Using Its Intrinsic Sound. CSIE (5) 2009: 76-81 - [c10]Simon Miller, Viara Popova, Robert I. John, Mario Gongora:
An Interval Type-2 Fuzzy Distribution Network. IFSA/EUSFLAT Conf. 2009: 697-702 - 2008
- [c9]Benjamin N. Passow, Mario Gongora, Simon Coupland, Adrian A. Hopgood:
Real-time evolution of an embedded controller for an autonomous helicopter. IEEE Congress on Evolutionary Computation 2008: 2538-2545 - [c8]Simon Coupland, James Wheeler, Mario Gongora:
A generalised type-2 fuzzy logic system embedded board and integrated development environment. FUZZ-IEEE 2008: 681-687 - [c7]Andreas Huemer, David A. Elizondo, Mario Gongora:
A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers. ICANN (2) 2008: 773-782 - [c6]Benjamin N. Passow, Mario Gongora:
Optimising a Flying Robot - Controller Optimisation using a Genetic Algorithm on a Real-World Robot. ICINCO-RA (2) 2008: 151-156 - [c5]Andreas Huemer, Mario Gongora, David A. Elizondo:
Self Constructing Neural Network Robot Controller based on On-line Task Performance Feedback. ICINCO-ICSO 2008: 326-333 - [c4]Andreas Huemer, Mario Gongora, David A. Elizondo:
Evolving a neural network using dyadic connections. IJCNN 2008: 1019-1025 - 2006
- [c3]Mario Gongora, Wasiq Ashfaq:
Analysis of Passenger Movement at Birmingham International Airport using Evolutionary Techniques. IEEE Congress on Evolutionary Computation 2006: 1339-1345 - 2005
- [c2]David A. Elizondo, Mario Gongora:
Current Trends on Knowledge Extraction and Neural Networks. ICANN (2) 2005: 485-490 - [c1]Mario Gongora, Tim Watson, David A. Elizondo:
A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries. ICANN (2) 2005: 497-502
Parts in Books or Collections
- 2009
- [p1]Andreas Huemer, David A. Elizondo, Mario Gongora:
A Constructive Neural Network for Evolving a Machine Controller in Real-Time. Constructive Neural Networks 2009: 225-242
Informal and Other Publications
- 2020
- [i1]Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora:
Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CoRR abs/2004.05380 (2020)
Coauthor Index
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last updated on 2024-07-09 05:02 CEST by the dblp team
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