Mario Gongora - RankMe

69 papers B 13C 1Journal 27Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing Object Manipulation and Transportation in Multi-Robot Systems with Soft Gripper Integration and Caging-Based Control. J. Intell. Robotic Syst. Juan C. Tejada, Alejandro Toro-Ossaba, María A. López-Quintero, David Rozo-Osorio, Alexandro López-González, Eduardo Gamaliel Hernández-Martínez, Mario Gongora, Isis Bonet Cruz
2024	—	`conf`	Deep Learning Model to Predict the Ripeness of Oil Palm Fruit. ICAART (3) Isis Bonet, Mario Gongora, Fernando Acevedo, Ivan Ochoa
2023	—	`conf`	A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. EvoApplications@EvoStar Alejandro Peña, Alejandro Puerta, Isis Bonet, Fabio Caraffini, Mario Gongora, Ivan Ochoa
2023	J	`jnl`	An evolutionary intelligent control system for a flexible joints robot. Appl. Soft Comput. Alejandro Peña, Juan C. Tejada, Juan David Gonzalez-Ruiz, Lina María Sepúlveda-Cano, Francisco Chiclana, Fabio Caraffini, Mario Gongora
2023	J	`jnl`	Classification in Dynamic Data Streams With a Scarcity of Labels. IEEE Trans. Knowl. Data Eng. Conor Fahy, Shengxiang Yang, Mario Gongora
2023	J	`jnl`	Scarcity of Labels in Non-Stationary Data Streams: A Survey. ACM Comput. Surv. Conor Fahy, Shengxiang Yang, Mario Gongora
2022	J	`jnl`	Applications of computational intelligence-based systems for societal enhancement. Int. J. Intell. Syst. Fabio Caraffini, Francisco Chiclana, Raymond Moodley, Mario Gongora
2022	J	`jnl`	Using self-organising maps to predict and contain natural disasters and pandemics. Int. J. Intell. Syst. Raymond Moodley, Francisco Chiclana, Fabio Caraffini, Mario Gongora
2021	J	`jnl`	Applying fuzzy scenarios for the measurement of operational risk. Appl. Soft Comput. Isis Bonet, Alejandro Peña, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora
2021	J	`jnl`	Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events. Appl. Soft Comput. Alejandro Peña, Alejandro Patino, Francisco Chiclana, Fabio Caraffini, Mario Gongora, Juan David Gonzalez-Ruiz, Eduardo Duque-Grisales
2020	B	`conf`	A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations. CEC Conor Fahy, Fabio Caraffini, Mario Gongora
2020	J	`jnl`	A Robust Decision-Making Framework Based on Collaborative Agents. IEEE Access Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
2020	J	`jnl`	Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. Inf. Fusion Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
2020	B	`conf`	Oil Palm Detection via Deep Transfer Learning. CEC Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario Gongora
2020	J	`jnl`	Shallow buried improvised explosive device detection via convolutional neural networks. Integr. Comput. Aided Eng. Simon Colreavy-Donnelly, Fabio Caraffini, Stefan Kuhn, Mario Gongora, Johana Florez-Lozano, Carlos Parra
2020	B	`conf`	Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CEC Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
2020	J	`jnl`	Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. CoRR Johana Florez-Lozano, Fabio Caraffini, Carlos Parra, Mario Gongora
2019	J	`jnl`	A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs. Soft Comput. Alejandro Peña, Isis Bonet, Christian Lochmuller, Marta S. Tabares, Carlos C. Piedrahita, Carmen C. Sánchez, Lillyana María Giraldo Marín, Mario Gongora, Francisco Chiclana
2019	J	`jnl`	Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams. IEEE Trans. Cybern. Conor Fahy, Shengxiang Yang, Mario Gongora
2019	—	`conf`	Deep Clustering for Metagenomics. CIBB Isis Bonet, Alejandro Peña, Christian Lochmuller, Alejandro Patino, Mario Gongora
2019	J	`jnl`	Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects. Appl. Soft Comput. Juan David Gonzalez-Ruiz, Alejandro Peña, Eduardo Alexander Duque, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora
2018	J	`jnl`	A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events. Knowl. Based Syst. Alejandro Peña, Isis Bonet, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora
2018	J	`jnl`	An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management. Expert Syst. Appl. Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario Gongora
2018	J	`jnl`	Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management. Appl. Soft Comput. Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario Gongora
2017	J	`jnl`	Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling. IEEE Trans. Intell. Transp. Syst. Jayne Eaton, Shengxiang Yang, Mario Gongora
2017	—	`conf`	Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules. SSCI Darren M. Chitty, Shengxiang Yang, Mario Gongora
2017	B	`conf`	Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters. CEC Conor Fahy, Shengxiang Yang, Mario Gongora
2017	—	`conf`	Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules. MENDEL Darren M. Chitty, Shengxiang Yang, Mario Gongora
2016	J	`jnl`	Adaptive-mutation compact genetic algorithm for dynamic environments. Soft Comput. Chigozirim J. Uzor, Mario Gongora, Simon Coupland, Benjamin N. Passow
2016	—	`conf`	Evolutionary dynamic optimisation of airport security lane schedules. SSCI Darren M. Chitty, Mario Gongora, Shengxiang Yang
2015	C	`conf`	Application of Artificial Neural Network and Support Vector Regression in cognitive radio networks for RF power prediction using compact differential evolution algorithm. FedCSIS Sunday Iliya, Eric Goodyer, John A. Gow, Jethro Shell, Mario Gongora
2014	—	`conf`	Adaptive mutation in dynamic environments. UKCI Chigozirim J. Uzor, Mario Gongora, Simon Coupland, Benjamin N. Passow
2014	—	`conf`	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 Sunday Iliya, Eric Goodyer, Mario Gongora, Jethro Shell, John A. Gow
2014	—	`conf`	Real-world dynamic optimization using an adaptive-mutation compact genetic algorithm. CIDUE Chigozirim J. Uzor, Mario Gongora, Simon Coupland, Benjamin N. Passow
2013	J	`jnl`	Evolutionary algorithms and fuzzy sets for discovering temporal rules. Int. J. Appl. Math. Comput. Sci. Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood
2013	—	`conf`	Re-sampling search: A seriously simple memetic approach with a high performance. Memetic Computing Fabio Caraffini, Ferrante Neri, Mario Gongora, Benjamin N. Passow
2013	J	`jnl`	Web usage mining with evolutionary extraction of temporal fuzzy association rules. Knowl. Based Syst. Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood, Samad Ahmadi
2012	J	`jnl`	Intelligent acoustic rotor speed estimation for an autonomous helicopter. Appl. Soft Comput. Benjamin N. Passow, Mario Gongora, Adrian A. Hopgood, Sophy Smith
2012	J	`jnl`	Interval type-2 fuzzy modelling and stochastic search for real-world inventory management. Soft Comput. Simon Miller, Mario Gongora, Jonathan M. Garibaldi, Robert I. John
2012	B	`conf`	Temporal fuzzy association rule mining with 2-tuple linguistic representation. FUZZ-IEEE Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood, Samad Ahmadi
2011	—	`conf`	Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm. HAIS (1) Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood
2011	—	`conf`	Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm. GEFS Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood
2011	—	`conf`	Intelligent agents based on a hybrid adaptable structure and a biologically inspired memory. HIMA David Irvine, Mario Gongora
2011	—	`conf`	Interval Type-2 Fuzzy Modelling and Simulated Annealing for Real-World Inventory Management. HAIS (1) Simon Miller, Mario Gongora, Robert I. John
2011	—	`conf`	Storing objects in a short-term biologically inspired memory system for artificial agents. CCMB David Irvine, Mario Gongora
2010	B	`conf`	A robust reinforcement based self constructing neural network. IJCNN Andreas Huemer, Mario Gongora, David A. Elizondo
2010	—	`conf`	CogBox - Combined Artificial Intelligence Methodologies to Achieve a Semi-realistic Agent in Serious Games. ICAISC (2) David Irvine, Mario Gongora
2010	—	`conf`	Evolving Temporal Association Rules with Genetic Algorithms. SGAI Conf. Stephen G. Matthews, Mario Gongora, Adrian A. Hopgood
2010	B	`conf`	Inventory optimisation with an Interval Type-2 Fuzzy model. FUZZ-IEEE Simon Miller, Mario Gongora, Robert I. John
2010	B	`conf`	Mitigating the effect of background noise in sound based helicopter control. FUZZ-IEEE Benjamin N. Passow, Simon Coupland, Mario Gongora
2010	—	`conf`	Optimising resource plans using an Interval Type-2 Fuzzy model. GEFS Simon Miller, Mario Gongora, Viara Popova
2010	J	`jnl`	ReAd: reactive-adaptive methodology to enable evolving intelligent agents for virtual environments. Evol. Syst. Mario Gongora, David Irvine
2010	—	`conf`	Storage, degradation and recall of agent memory in Serious Games and Simulations. IEEE Conf. of Intelligent Systems David Irvine, Mario Gongora
2009	—	`ch.`	A Constructive Neural Network for Evolving a Machine Controller in Real-Time. Constructive Neural Networks Andreas Huemer, David A. Elizondo, Mario Gongora
2009	—	`conf`	An Interval Type-2 Fuzzy Distribution Network. IFSA/EUSFLAT Conf. Simon Miller, Viara Popova, Robert I. John, Mario Gongora
2009	—	`conf`	Managing uncertainty in sound based control for an autonomous helicopter. CIVVS Benjamin N. Passow, Mario Gongora, Sophy Smith, Adrian A. Hopgood
2009	J	`jnl`	Multi-agent system for people detection and tracking using stereo vision in mobile robots. Robotica Rafael Muñoz-Salinas, Eugenio Aguirre, Miguel García-Silvente, Aladdin Ayesh, Mario Gongora
2009	B	`conf`	Robustness analysis of evolutionary controller tuning using real systems. IEEE Congress on Evolutionary Computation Mario Gongora, Benjamin N. Passow, Adrian A. Hopgood
2009	—	`conf`	Supervised Control of a Flying Performing Robot Using Its Intrinsic Sound. CSIE (5) Benjamin N. Passow, Sophy Smith, Mario Gongora, Adrian A. Hopgood
2008	—	`conf`	A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers. ICANN (2) Andreas Huemer, David A. Elizondo, Mario Gongora
2008	B	`conf`	A generalised type-2 fuzzy logic system embedded board and integrated development environment. FUZZ-IEEE Simon Coupland, James Wheeler, Mario Gongora
2008	B	`conf`	Evolving a neural network using dyadic connections. IJCNN Andreas Huemer, Mario Gongora, David A. Elizondo
2008	—	`conf`	Optimising a Flying Robot - Controller Optimisation using a Genetic Algorithm on a Real-World Robot. ICINCO-RA (2) Benjamin N. Passow, Mario Gongora
2008	B	`conf`	Real-time evolution of an embedded controller for an autonomous helicopter. IEEE Congress on Evolutionary Computation Benjamin N. Passow, Mario Gongora, Simon Coupland, Adrian A. Hopgood
2008	—	`conf`	Self Constructing Neural Network Robot Controller based on On-line Task Performance Feedback. ICINCO-ICSO Andreas Huemer, Mario Gongora, David A. Elizondo
2007	J	`jnl`	Analysis and test of efficient methods for building recursive deterministic perceptron neural networks. Neural Networks David A. Elizondo, Ralph Birkenhead, Mario Gongora, Éric D. Taillard, Patrick Luyima
2006	B	`conf`	Analysis of Passenger Movement at Birmingham International Airport using Evolutionary Techniques. IEEE Congress on Evolutionary Computation Mario Gongora, Wasiq Ashfaq
2005	—	`conf`	A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries. ICANN (2) Mario Gongora, Tim Watson, David A. Elizondo
2005	—	`conf`	Current Trends on Knowledge Extraction and Neural Networks. ICANN (2) David A. Elizondo, Mario Gongora