Rafael Falcon

Orcid: 0000-0002-5906-3626

Affiliations:
  • University of Ottawa, Canada


According to our database1, Rafael Falcon authored at least 75 papers between 2005 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Image quality evaluation of video conferencing solutions with realistic laboratory scenes.
Proceedings of the Image Quality and System Performance XIX, 2022

2021
Unveiling the Dynamic Behavior of Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2021

Multi-Objective Heterogeneous Multi-Asset Collection Scheduling Optimization with High-Level Information Fusion.
Proceedings of the IEEE International Systems Conference, 2021

2020
Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

IRBASIR-B: Rule Induction from Similarity Relations, a Bayesian Approach.
Proceedings of the Applied Computer Sciences in Engineering, 2020

Ensembling Routing Algorithms.
Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

Distributed Multi-Objective Cooperative Coevolution Algorithm for Big-Data-Enabled Vessel Schedule Recovery Problem.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2020

2019
A review on methods and software for fuzzy cognitive maps.
Artif. Intell. Rev., 2019

Fuzzy Cognitive Modeling: Theoretical and Practical Considerations.
Proceedings of the Intelligent Decision Technologies 2019, 2019

2018
On the Accuracy-Convergence Tradeoff in Sigmoid Fuzzy Cognitive Maps.
IEEE Trans. Fuzzy Syst., 2018

Fuzzy-Rough Cognitive Networks.
Neural Networks, 2018

Modeling the speed-based vessel schedule recovery problem using evolutionary multiobjective optimization.
Inf. Sci., 2018

A Review of Computational Intelligence Techniques in Wireless Sensor and Actuator Networks.
IEEE Commun. Surv. Tutorials, 2018

Mining Port Congestion Indicators from Big AIS Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Computational Model of Multi-scale Spatiotemporal Attention in Video Data.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Automatic Identification of Maritime Incidents from Unstructured Articles.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2018

Performance Analysis of Granular versus Traditional Neural Network Classifiers: Preliminary Results.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2018

Responding to Illegal, Unreported and Unregulated Fishing with Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2018

A Graph-based Genetic Algorithm to Solve the Virtual Constellation Multi-Satellite Collection Scheduling Problem.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Data-Driven Vessel Service Time Forecasting using Long Short-Term Memory Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Weighted aggregation of partial rankings using Ant Colony Optimization.
Neurocomputing, 2017

Rough cognitive ensembles.
Int. J. Approx. Reason., 2017

Multiobjective variable mesh optimization.
Ann. Oper. Res., 2017

A reinforcement learning approach to tackle illegal, unreported and unregulated fishing.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Fuzzy/human risk analysis for maritime situational awareness and decision support.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Continuous Risk-Aware Response Generation for Maritime Supply Chain Disruption Mitigation.
Proceedings of the 13th International Conference on Distributed Computing in Sensor Systems, 2017

Maritime smuggling detection and mitigation using risk-aware hybrid robotic sensor networks.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2017

Soft-data-driven resource management for concurrent maritime security operations.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2017

Big-data-enabled modelling and optimization of granular speed-based vessel schedule recovery problem.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
A Granular Intrusion Detection System Using Rough Cognitive Networks.
Proceedings of the Recent Advances in Computational Intelligence in Defense and Security, 2016

Detecting malicious URLs using machine learning techniques.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Context-driven dynamic Risk Management for maritime domain awareness.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Automatic Course of Action Generation using Soft Data for Maritime Domain Awareness.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Partitive granular Cognitive Maps to graded multilabel classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Reliable multiple robot-assisted sensor relocation using multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Efficient detection of faulty nodes with cuckoo search in t-diagnosable systems.
Appl. Soft Comput., 2015

Risk-driven intent assessment and response generation in maritime surveillance operations.
Proceedings of the IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2015

A generic niching framework for Variable Mesh Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

A multi-objective optimization approach to Reliable Robot-Assisted Sensor Relocation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Vessel Tracking and Anomaly Detection Using Level 0/1 and High-Level Information Fusion Techniques.
Proceedings of the Soft Computing Applications, 2014

Learning similarity measures from data with fuzzy sets and particle swarms.
Proceedings of the 11th International Conference on Electrical Engineering, 2014

On the role of multi-objective optimization in risk mitigation for critical infrastructures with robotic sensor networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Behavioral learning of vessel types with fuzzy-rough decision trees.
Proceedings of the 17th International Conference on Information Fusion, 2014

Textual risk mining for maritime situational awareness.
Proceedings of the IEEE International Inter-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2014

Risk management with hard-soft data fusion in maritime domain awareness.
Proceedings of the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2014

Vessel track correlation and association using fuzzy logic and Echo State Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Auction-based node selection of optimal and concurrent responses for a risk-aware robotic sensor network.
Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2013

Niche-clearing-based Variable Mesh Optimization for multimodal problems.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

Self-adaptive differential particle swarm using a ring topology for multimodal optimization.
Proceedings of the 13th International Conference on Intellient Systems Design and Applications, 2013

A proactive risk-aware robotic sensor network for Critical Infrastructure Protection.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2013

Robot-Assisted Wireless Sensor Networks: Recent Applications and Future Challenges.
Proceedings of the Mobile Ad Hoc Networking: Cutting Edge Directions, Second Edition, 2013

2012
System-Level Fault Diagnosis with Dynamic Mesh Optimization.
Computación y Sistemas, 2012

Servicing wireless sensor networks by mobile robots.
IEEE Commun. Mag., 2012

A harmony-seeking firefly swarm to the periodic replacement of damaged sensors by a team of mobile robots.
Proceedings of IEEE International Conference on Communications, 2012

Controlled Straight Mobility and Energy-Aware Routing in Robotic Wireless Sensor Networks.
Proceedings of the IEEE 8th International Conference on Distributed Computing in Sensor Systems, 2012

An online shadowed clustering algorithm applied to risk visualization in Territorial Security.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, 2012

A response-aware risk management framework for search-and-rescue operations.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Carrier-Based Focused Coverage Formation in Wireless Sensor and Robot Networks.
IEEE Trans. Autom. Control., 2011

PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments.
Intell. Data Anal., 2011

Fault identification with binary adaptive fireflies in parallel and distributed systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Carrier-Based Coverage Augmentation in Wireless Sensor and Robot Networks.
Proceedings of the 30th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2010 Workshops), 2010

The one-commodity traveling salesman problem with selective pickup and delivery: An ant colony approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A binary Particle Swarm Optimization approach to fault diagnosis in parallel and distributed systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
An adaptive fast multiple reference frame selection algorithm for H.264/AVC using reference region data.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2009

Mechanisms of Partial Supervision in Rough Clustering Approaches.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

2008
Application of Bayesian Belief Network in Reliable Analysis for Video Deinterlacing.
IEEE Trans. Consumer Electron., 2008

Towards a Suitable Reconciliation of the Findings in Collaborative Fuzzy Clustering.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

Spatio-temporal edge-based weighted fuzzy filtering for providing interlaced video on a progressive display.
Proceedings of the FUZZ-IEEE 2008, 2008

Feature Selection through Dynamic Mesh Optimization.
Proceedings of the Progress in Pattern Recognition, 2008

2007
Gröbner bases and the number of Latin squares related to autotopisms of order <= 7.
J. Symb. Comput., 2007

Application of Bayesian Network for Fuzzy Rule-Based Video Deinterlacing.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007

Learning Collaboration Links in a Collaborative Fuzzy Clustering Environment.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Building Fine Bayesian Networks Aided by PSO-Based Feature Selection.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

2005
CBR-ANN hybrid model to optimize the sequence of wastewater treatments.
Proceedings of the ITEE 2005, 2005


  Loading...