Artificial intelligence tools for path generation and optimisation for mobile robots. - Mario Augusto Gongora (1998)

Current Trends on Knowledge Extraction and Neural Networks. - David A. Elizondo; Mario Gongora 001 (ICANN (2), 2005)

A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries. - Mario Gongora 001; Tim Watson; David A. Elizondo (ICANN (2), 2005)

Analysis of Passenger Movement at Birmingham International Airport using Evolutionary Techniques. - Mario Gongora 001; Wasiq Ashfaq (IEEE Congress on Evolutionary Computation, 2006)

Analysis and test of efficient methods for building recursive deterministic perceptron neural networks. - David A. Elizondo; Ralph Birkenhead; Mario Gongora 001; Éric D. Taillard; Patrick Luyima (Neural Networks, 2007)

Real-time evolution of an embedded controller for an autonomous helicopter. - Benjamin N. Passow; Mario Gongora 001; Simon Coupland; Adrian A. Hopgood (IEEE Congress on Evolutionary Computation, 2008)

A generalised type-2 fuzzy logic system embedded board and integrated development environment. - Simon Coupland; James Wheeler; Mario Gongora 001 (FUZZ-IEEE, 2008)

A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers. - Andreas Huemer; David A. Elizondo; Mario Gongora 001 (ICANN (2), 2008)

Self Constructing Neural Network Robot Controller based on On-line Task Performance Feedback. - Andreas Huemer; Mario Gongora 001; David A. Elizondo (ICINCO-ICSO, 2008)

Optimising a Flying Robot - Controller Optimisation using a Genetic Algorithm on a Real-World Robot. - Benjamin N. Passow; Mario Gongora 001 (ICINCO-RA (2), 2008)

Evolving a neural network using dyadic connections. - Andreas Huemer; Mario Gongora 001; David A. Elizondo (IJCNN, 2008)

Robustness analysis of evolutionary controller tuning using real systems. - Mario Gongora 001; Benjamin N. Passow; Adrian A. Hopgood (IEEE Congress on Evolutionary Computation, 2009)

Managing uncertainty in sound based control for an autonomous helicopter. - Benjamin N. Passow; Mario Gongora 001; Sophy Smith; Adrian A. Hopgood (CIVVS, 2009)

Supervised Control of a Flying Performing Robot Using Its Intrinsic Sound. - Benjamin N. Passow; Sophy Smith; Mario Gongora 001; Adrian A. Hopgood (CSIE (5), 2009)

An Interval Type-2 Fuzzy Distribution Network. - Simon Miller; Viara Popova; Robert I. John; Mario Gongora 001 (IFSA/EUSFLAT Conf., 2009)

Multi-agent system for people detection and tracking using stereo vision in mobile robots. - Rafael Muñoz-Salinas; Eugenio Aguirre; Miguel García-Silvente; Aladdin Ayesh; Mario Gongora 001 (Robotica, 2009)

A Constructive Neural Network for Evolving a Machine Controller in Real-Time. - Andreas Huemer; David A. Elizondo; Mario Gongora 001 (Constructive Neural Networks, 2009)

Inventory optimisation with an Interval Type-2 Fuzzy model. - Simon Miller; Mario Gongora 001; Robert I. John (FUZZ-IEEE, 2010)

Mitigating the effect of background noise in sound based helicopter control. - Benjamin N. Passow; Simon Coupland; Mario Gongora 001 (FUZZ-IEEE, 2010)

Optimising resource plans using an Interval Type-2 Fuzzy model. - Simon Miller; Mario Gongora 001; Viara Popova (GEFS, 2010)

CogBox - Combined Artificial Intelligence Methodologies to Achieve a Semi-realistic Agent in Serious Games. - David Irvine; Mario Gongora 001 (ICAISC (2), 2010)

A robust reinforcement based self constructing neural network. - Andreas Huemer; Mario Gongora 001; David A. Elizondo (IJCNN, 2010)

Storage, degradation and recall of agent memory in Serious Games and Simulations. - David Irvine; Mario Gongora 001 (IEEE Conf. of Intelligent Systems, 2010)

Evolving Temporal Association Rules with Genetic Algorithms. - Stephen G. Matthews 001; Mario Gongora 001; Adrian A. Hopgood (SGAI Conf., 2010)

ReAd: reactive-adaptive methodology to enable evolving intelligent agents for virtual environments. - Mario Gongora 001; David Irvine (Evol. Syst., 2010)

Storing objects in a short-term biologically inspired memory system for artificial agents. - David Irvine; Mario Gongora 001 (CCMB, 2011)

Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm. - Stephen G. Matthews 001; Mario Gongora 001; Adrian A. Hopgood (GEFS, 2011)

Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm. - Stephen G. Matthews 001; Mario Gongora 001; Adrian A. Hopgood (HAIS (1), 2011)

Interval Type-2 Fuzzy Modelling and Simulated Annealing for Real-World Inventory Management. - Simon Miller; Mario Gongora 001; Robert I. John (HAIS (1), 2011)

Intelligent agents based on a hybrid adaptable structure and a biologically inspired memory. - David Irvine; Mario Gongora 001 (HIMA, 2011)

Temporal fuzzy association rule mining with 2-tuple linguistic representation. - Stephen G. Matthews 001; Mario Gongora 001; Adrian A. Hopgood; Samad Ahmadi (FUZZ-IEEE, 2012)

Intelligent acoustic rotor speed estimation for an autonomous helicopter. - Benjamin N. Passow; Mario Gongora 001; Adrian A. Hopgood; Sophy Smith (Appl. Soft Comput., 2012)

Interval type-2 fuzzy modelling and stochastic search for real-world inventory management. - Simon Miller; Mario Gongora 001; Jonathan M. Garibaldi; Robert I. John (Soft Comput., 2012)

Re-sampling search: A seriously simple memetic approach with a high performance. - Fabio Caraffini; Ferrante Neri; Mario Gongora 001; Benjamin N. Passow (Memetic Computing, 2013)

Evolutionary algorithms and fuzzy sets for discovering temporal rules. - Stephen G. Matthews 001; Mario Gongora 001; Adrian A. Hopgood (Int. J. Appl. Math. Comput. Sci., 2013)

Web usage mining with evolutionary extraction of temporal fuzzy association rules. - Stephen G. Matthews 001; Mario Gongora 001; Adrian A. Hopgood; Samad Ahmadi (Knowl. Based Syst., 2013)

Real-world dynamic optimization using an adaptive-mutation compact genetic algorithm. - Chigozirim J. Uzor; Mario Gongora 001; Simon Coupland; Benjamin N. Passow (CIDUE, 2014)

Optimized artificial neural network using differential evolution for prediction of RF power in VHF/UHF TV and GSM 900 bands for cognitive radio networks. - Sunday Iliya; Eric Goodyer; Mario Gongora 001; Jethro Shell; John A. Gow (UKCI, 2014)

Adaptive mutation in dynamic environments. - Chigozirim J. Uzor; Mario Gongora 001; Simon Coupland; Benjamin N. Passow (UKCI, 2014)

Application of Artificial Neural Network and Support Vector Regression in cognitive radio networks for RF power prediction using compact differential evolution algorithm. - Sunday Iliya; Eric Goodyer; John A. Gow; Jethro Shell; Mario Gongora 001 (FedCSIS, 2015)

Evolutionary dynamic optimisation of airport security lane schedules. - Darren M. Chitty; Mario Gongora 001; Shengxiang Yang (SSCI, 2016)

Adaptive-mutation compact genetic algorithm for dynamic environments. - Chigozirim J. Uzor; Mario Gongora 001; Simon Coupland; Benjamin N. Passow (Soft Comput., 2016)

Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters. - Conor Fahy; Shengxiang Yang; Mario Gongora 001 (CEC, 2017)

Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules. - Darren M. Chitty; Shengxiang Yang; Mario Gongora 001 (MENDEL, 2017)

Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules. - Darren M. Chitty; Shengxiang Yang; Mario Gongora 001 (SSCI, 2017)

Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling. - Jayne Eaton; Shengxiang Yang; Mario Gongora 001 (IEEE Trans. Intell. Transp. Syst., 2017)

Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Francisco Chiclana; Mario Gongora 001 (Appl. Soft Comput., 2018)

An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Francisco Chiclana; Mario Gongora 001 (Expert Syst. Appl., 2018)

A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Héctor Alejandro Patiño; Francisco Chiclana; Mario Gongora 001 (Knowl. Based Syst., 2018)

Deep Clustering for Metagenomics. - Isis Bonet; Alejandro Peña; Christian Lochmuller; Alejandro Patino 001; Mario Gongora 001 (CIBB, 2019)

Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects. - Juan David Gonzalez-Ruiz; Alejandro Peña; Eduardo Alexander Duque; Héctor Alejandro Patiño; Francisco Chiclana; Mario Gongora 001 (Appl. Soft Comput., 2019)

A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Marta S. Tabares; Carlos C. Piedrahita; Carmen C. Sánchez; Lillyana María Giraldo Marín; Mario Gongora 001; Francisco Chiclana (Soft Comput., 2019)

Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams. - Conor Fahy; Shengxiang Yang; Mario Gongora 001 (IEEE Trans. Cybern., 2019)

Oil Palm Detection via Deep Transfer Learning. - Isis Bonet; Fabio Caraffini; Alejandro Peña; Alejandro Puerta; Mario Gongora 001 (CEC, 2020)

A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations. - Conor Fahy; Fabio Caraffini; Mario Gongora 001 (CEC, 2020)

Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform. - Johana Florez-Lozano; Fabio Caraffini; Carlos Parra 001; Mario Gongora 001 (CEC, 2020)

A Robust Decision-Making Framework Based on Collaborative Agents. - Johana Florez-Lozano; Fabio Caraffini; Carlos Parra 001; Mario Gongora 001 (IEEE Access, 2020)

Shallow buried improvised explosive device detection via convolutional neural networks. - Simon Colreavy-Donnelly; Fabio Caraffini; Stefan Kuhn 001; Mario Gongora 001; Johana Florez-Lozano; Carlos Parra 001 (Integr. Comput. Aided Eng., 2020)

Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection. - Johana Florez-Lozano; Fabio Caraffini; Carlos Parra 001; Mario Gongora 001 (Inf. Fusion, 2020)

Applying fuzzy scenarios for the measurement of operational risk. - Isis Bonet; Alejandro Peña; Christian Lochmuller; Héctor Alejandro Patiño; Francisco Chiclana; Mario Gongora 001 (Appl. Soft Comput., 2021)

Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events. - Alejandro Peña; Alejandro Patino 001; Francisco Chiclana; Fabio Caraffini; Mario Gongora 001; Juan David Gonzalez-Ruiz; Eduardo Duque-Grisales (Appl. Soft Comput., 2021)

The Arquive of Tatuoca Magnetic Observatory Brazil: from paper to intelligent bytes. - Cristian Berrío-Zapata; Ester Ferreira da Silva; Mayara Costa Pinheiro; Vinicius Augusto Carvalho de Abreu; Cristiano Mendel Martins; Mario Augusto Gongora; Kelso Dunman (IEEE Big Data, 2022)

Applications of computational intelligence-based systems for societal enhancement. - Fabio Caraffini; Francisco Chiclana; Raymond Moodley; Mario Gongora 001 (Int. J. Intell. Syst., 2022)

Using self-organising maps to predict and contain natural disasters and pandemics. - Raymond Moodley; Francisco Chiclana; Fabio Caraffini; Mario Gongora 001 (Int. J. Intell. Syst., 2022)

A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. - Alejandro Peña; Alejandro Puerta; Isis Bonet; Fabio Caraffini; Mario Gongora 001; Ivan Ochoa (EvoApplications@EvoStar, 2023)

Scarcity of Labels in Non-Stationary Data Streams: A Survey. - Conor Fahy; Shengxiang Yang; Mario Gongora 001 (ACM Comput. Surv., 2023)

An evolutionary intelligent control system for a flexible joints robot. - Alejandro Peña; Juan C. Tejada; Juan David Gonzalez-Ruiz; Lina María Sepúlveda-Cano; Francisco Chiclana; Fabio Caraffini; Mario Gongora 001 (Appl. Soft Comput., 2023)

Classification in Dynamic Data Streams With a Scarcity of Labels. - Conor Fahy; Shengxiang Yang; Mario Gongora 001 (IEEE Trans. Knowl. Data Eng., 2023)

Deep Learning Model to Predict the Ripeness of Oil Palm Fruit. - Isis Bonet; Mario Gongora 001; Fernando Acevedo; Ivan Ochoa (ICAART (3), 2024)

Enhancing Object Manipulation and Transportation in Multi-Robot Systems with Soft Gripper Integration and Caging-Based Control. - Juan C. Tejada; Alejandro Toro-Ossaba; María A. López-Quintero; David Rozo-Osorio; Alexandro López-González; Eduardo Gamaliel Hernández-Martínez; Mario Gongora 001; Isis Bonet Cruz (J. Intell. Robotic Syst., 2025)