Mario Gongora

Orcid: 0000-0002-7135-2092

Affiliations:
  • De Montfort University, Leicester, United Kingdom


According to our database1, Mario Gongora authored at least 69 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Deep Learning Model to Predict the Ripeness of Oil Palm Fruit.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023
Classification in Dynamic Data Streams With a Scarcity of Labels.
IEEE Trans. Knowl. Data Eng., April, 2023

An evolutionary intelligent control system for a flexible joints robot.
Appl. Soft Comput., March, 2023

Scarcity of Labels in Non-Stationary Data Streams: A Survey.
ACM Comput. Surv., 2023

A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022
Using self-organising maps to predict and contain natural disasters and pandemics.
Int. J. Intell. Syst., 2022

Applications of computational intelligence-based systems for societal enhancement.
Int. J. Intell. Syst., 2022

The Arquive of Tatuoca Magnetic Observatory Brazil: from paper to intelligent bytes.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events.
Appl. Soft Comput., 2021

Applying fuzzy scenarios for the measurement of operational risk.
Appl. Soft Comput., 2021

2020
Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection.
Inf. Fusion, 2020

Shallow buried improvised explosive device detection via convolutional neural networks.
Integr. Comput. Aided Eng., 2020

A Robust Decision-Making Framework Based on Collaborative Agents.
IEEE Access, 2020

Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Oil Palm Detection via Deep Transfer Learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams.
IEEE Trans. Cybern., 2019

A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs.
Soft Comput., 2019

Stochastic logistic fuzzy maps for the construction of integrated multirates scenarios in the financing of infrastructure projects.
Appl. Soft Comput., 2019

Deep Clustering for Metagenomics.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2018
A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events.
Knowl. Based Syst., 2018

An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management.
Expert Syst. Appl., 2018

Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management.
Appl. Soft Comput., 2018

2017
Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling.
IEEE Trans. Intell. Transp. Syst., 2017

Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules.
Proceedings of the Recent Advances in Soft Computing, 2017

Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Adaptive-mutation compact genetic algorithm for dynamic environments.
Soft Comput., 2016

Evolutionary dynamic optimisation of airport security lane schedules.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Application of Artificial Neural Network and Support Vector Regression in cognitive radio networks for RF power prediction using compact differential evolution algorithm.
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, 2015

2014
Adaptive mutation in dynamic environments.
Proceedings of the 14th UK Workshop on Computational Intelligence, 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.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Real-world dynamic optimization using an adaptive-mutation compact genetic algorithm.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

2013
Web usage mining with evolutionary extraction of temporal fuzzy association rules.
Knowl. Based Syst., 2013

Evolutionary algorithms and fuzzy sets for discovering temporal rules.
Int. J. Appl. Math. Comput. Sci., 2013

Re-sampling search: A seriously simple memetic approach with a high performance.
Proceedings of the 2013 IEEE Workshop on Memetic Computing, 2013

2012
Interval type-2 fuzzy modelling and stochastic search for real-world inventory management.
Soft Comput., 2012

Intelligent acoustic rotor speed estimation for an autonomous helicopter.
Appl. Soft Comput., 2012

Temporal fuzzy association rule mining with 2-tuple linguistic representation.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Intelligent agents based on a hybrid adaptable structure and a biologically inspired memory.
Proceedings of the 2011 IEEE Workshop On Hybrid Intelligent Models And Applications, 2011

Interval Type-2 Fuzzy Modelling and Simulated Annealing for Real-World Inventory Management.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011

Storing objects in a short-term biologically inspired memory system for artificial agents.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence, 2011

2010
ReAd: reactive-adaptive methodology to enable evolving intelligent agents for virtual environments.
Evol. Syst., 2010

Evolving Temporal Association Rules with Genetic Algorithms.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

Storage, degradation and recall of agent memory in Serious Games and Simulations.
Proceedings of the 5th IEEE International Conference on Intelligent Systems, 2010

A robust reinforcement based self constructing neural network.
Proceedings of the International Joint Conference on Neural Networks, 2010

CogBox - Combined Artificial Intelligence Methodologies to Achieve a Semi-realistic Agent in Serious Games.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

Optimising resource plans using an Interval Type-2 Fuzzy model.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010

Mitigating the effect of background noise in sound based helicopter control.
Proceedings of the FUZZ-IEEE 2010, 2010

Inventory optimisation with an Interval Type-2 Fuzzy model.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
A Constructive Neural Network for Evolving a Machine Controller in Real-Time.
Proceedings of the Constructive Neural Networks, 2009

Multi-agent system for people detection and tracking using stereo vision in mobile robots.
Robotica, 2009

An Interval Type-2 Fuzzy Distribution Network.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Supervised Control of a Flying Performing Robot Using Its Intrinsic Sound.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Managing uncertainty in sound based control for an autonomous helicopter.
Proceedings of the 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, 2009

Robustness analysis of evolutionary controller tuning using real systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Evolving a neural network using dyadic connections.
Proceedings of the International Joint Conference on Neural Networks, 2008

Optimising a Flying Robot - Controller Optimisation using a Genetic Algorithm on a Real-World Robot.
Proceedings of the ICINCO 2008, 2008

Self Constructing Neural Network Robot Controller based on On-line Task Performance Feedback.
Proceedings of the ICINCO 2008, 2008

A Reward-Value Based Constructive Method for the Autonomous Creation of Machine Controllers.
Proceedings of the Artificial Neural Networks, 2008

A generalised type-2 fuzzy logic system embedded board and integrated development environment.
Proceedings of the FUZZ-IEEE 2008, 2008

Real-time evolution of an embedded controller for an autonomous helicopter.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Analysis and test of efficient methods for building recursive deterministic perceptron neural networks.
Neural Networks, 2007

2006
Analysis of Passenger Movement at Birmingham International Airport using Evolutionary Techniques.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Current Trends on Knowledge Extraction and Neural Networks.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

1998
Artificial intelligence tools for path generation and optimisation for mobile robots.
PhD thesis, 1998


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