Fernando E. B. Otero

According to our database, Fernando E. B. Otero authored at least 63 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Algorithmic trading with directional changes.

Adesola Adegboye, Michael Kampouridis, Fernando E. B. Otero

Artif. Intell. Rev., June, 2023

2022

Data stream classification with ant colony optimisation.

Ayah Helal, Fernando E. B. Otero

Int. J. Intell. Syst., 2022

Nested trees for longitudinal classification.

Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

A Performance Study of Multiobjective Particle Swarm Optimization Algorithms for Market Timing.

Ismail Mohamed, Fernando E. B. Otero

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

2021

Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms.

Adesola Adegboye, Michael Kampouridis, Fernando E. B. Otero

Int. J. Intell. Syst., 2021

A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification.

Helen Costa, Fernando E. B. Otero, Luiz H. C. Merschmann, Marcone J. F. Souza

IEEE Access, 2021

Behavioural User Identification from Clickstream Data for Business Improvement.

Gaurav Misra, Matteo Migliavacca, Fernando E. B. Otero

Proceedings of the Artificial Intelligence XXXVIII, 2021

Automatic Information Extraction from Electronic Documents Using Machine Learning.

Nishanthan Kamaleson, Dominique F. Chu, Fernando E. B. Otero

Proceedings of the Artificial Intelligence XXXVIII, 2021

2020

Exploratory path planning for mobile robots in dynamic environments with ant colony optimization.

Valéria de Carvalho Santos, Fernando E. B. Otero, Colin G. Johnson, Fernando Santos Osório, Claudio Fabiano Motta Toledo

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A multiobjective optimization approach for market timing.

Ismail Mohamed, Fernando E. B. Otero

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Monotonicity Detection and Enforcement in Longitudinal Classification.

Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas

Proceedings of the Artificial Intelligence XXXVI, 2019

Using Population-based Metaheuristics and Trend Representative Testing to Compose Strategies for Market Timing.

Ismail Mohamed, Fernando E. B. Otero

Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

2018

Post-Processing Methods to Enforce Monotonic Constraints in Ant Colony Classification Algorithms.

James Brookhouse, Fernando E. B. Otero

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Archive-Based Pheromone Model for Discovering Regression Rules with Ant Colony Optimization.

Ayah Helal, James Brookhouse, Fernando E. B. Otero

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm.

Michael Kampouridis, Fernando E. B. Otero

Soft Comput., 2017

Extending the SACOC algorithm through the Nyström method for dense manifold data analysis.

Héctor D. Menéndez, Fernando E. B. Otero, David Camacho

Int. J. Bio Inspired Comput., 2017

Evolving trading strategies using directional changes.

Michael Kampouridis, Fernando E. B. Otero

Expert Syst. Appl., 2017

MYRA: a Java ant colony optimization framework for classification algorithms.

Fernando E. B. Otero

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Automatic design of ant-miner mixed attributes for classification rule discovery.

Ayah Helal, Fernando E. B. Otero

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Medoid-based clustering using ant colony optimization.

Héctor D. Menéndez, Fernando E. B. Otero, David Camacho

Swarm Intell., 2016

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results.

Fernando E. B. Otero, Alex Alves Freitas

Evol. Comput., 2016

Reducing Dimensionality to Improve Search in Semantic Genetic Programming.

Luiz Otávio Vilas Boas Oliveira, Luis Fernando Miranda, Gisele L. Pappa, Fernando E. B. Otero, Ricardo H. C. Takahashi

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

A Generic Framework for Building Dispersion Operators in the Semantic Space.

Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa

Proceedings of the Genetic Programming Theory and Practice XIV, 2016

A Dispersion Operator for Geometric Semantic Genetic Programming.

Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

A Mixed-Attribute Approach in Ant-Miner Classification Rule Discovery Algorithm.

Ayah Helal, Fernando E. B. Otero

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Using an Ant Colony Optimization Algorithm for Monotonic Regression Rule Discovery.

James Brookhouse, Fernando E. B. Otero

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Exploratory path planning using the Max-min ant system algorithm.

Valéria de Carvalho Santos, Fernando Santos Osório, Claudio Fabiano Motta Toledo, Fernando E. B. Otero, Colin G. Johnson

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Revisiting the Sequential Symbolic Regression Genetic Programming.

Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Luis Fernando Miranda, Gisele L. Pappa

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

Monotonicity in Ant Colony Classification Algorithms.

James Brookhouse, Fernando E. B. Otero

Proceedings of the Swarm Intelligence - 10th International Conference, 2016

2015

An ant colony-based semi-supervised approach for learning classification rules.

Julio Albinati, Samuel E. L. Oliveira, Fernando E. B. Otero, Gisele L. Pappa

Swarm Intell., 2015

Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers.

Khalid M. Salama, Ashraf M. Abdelbar, Fernando E. B. Otero

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Discovering Regression Rules with Ant Colony Optimization.

James Brookhouse, Fernando E. B. Otero

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Generating Directional Change Based Trading Strategies with Genetic Programming.

Jeremie Gypteau, Fernando E. B. Otero, Michael Kampouridis

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems.

Julio Albinati, Gisele L. Pappa, Fernando E. B. Otero, Luiz Otávio Vilas Boas Oliveira

Proceedings of the Genetic Programming - 18th European Conference, 2015

2014

Thematic issue on advances in nature inspired cooperative strategies for optimization.

Fernando E. B. Otero, Antonio D. Masegosa, Germán Terrazas

Memetic Comput., 2014

Learning Multi-tree Classification Models with Ant Colony Optimization.

Khalid M. Salama, Fernando E. B. Otero

Proceedings of the ECTA 2014, 2014

SACOC: A Spectral-Based ACO Clustering Algorithm.

Héctor D. Menéndez, Fernando E. B. Otero, David Camacho

Proceedings of the Intelligent Distributed Computing VIII, 2014

Sequential Symbolic Regression with Genetic Programming.

Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa, Julio Albinati

Proceedings of the Genetic Programming Theory and Practice XII, 2014

A genetic programming problem definition language code generator for the epochX framework.

Claris Leroux, Fernando E. B. Otero, Colin G. Johnson

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results.

James Brookhouse, Fernando E. B. Otero, Michael Kampouridis

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A Comparative Study on the Use of Classification Algorithms in Financial Forecasting.

Fernando E. B. Otero, Michael Kampouridis

Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

MACOC: A Medoid-Based ACO Clustering Algorithm.

Héctor D. Menéndez, Fernando E. B. Otero, David Camacho

Proceedings of the Swarm Intelligence - 9th International Conference, 2014

2013

A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms.

Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson

IEEE Trans. Evol. Comput., 2013

Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery.

Khalid M. Salama, Ashraf M. Abdelbar, Fernando E. B. Otero, Alex Alves Freitas

Appl. Soft Comput., 2013

Using Attribute Construction to Improve the Predictability of a GP Financial Forecasting Algorithm.

Michael Kampouridis, Fernando E. B. Otero

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Event-based graphical monitoring in the EpochX genetic programming framework.

Loïc Vaseux, Fernando E. B. Otero, Tom Castle, Colin G. Johnson

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Improving the interpretability of classification rules discovered by an ant colony algorithm.

Fernando E. B. Otero, Alex Alves Freitas

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Automated Problem Decomposition for the Boolean Domain with Genetic Programming.

Fernando E. B. Otero, Colin G. Johnson

Proceedings of the Genetic Programming - 16th European Conference, 2013

Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner.

Khalid M. Salama, Fernando E. B. Otero

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Inducing decision trees with an ant colony optimization algorithm.

Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson

Appl. Soft Comput., 2012

EpochX: genetic programming in java with statistics and event monitoring.

Fernando E. B. Otero, Tom Castle, Colin G. Johnson

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

A study of different quality evaluation functions in the cAnt-Miner(PB) classification algorithm.

Matthew Medland, Fernando E. B. Otero

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evolving recursive programs using non-recursive scaffolding.

Alberto Moraglio, Fernando E. B. Otero, Colin G. Johnson, Simon J. Thompson, Alex Alves Freitas

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Exploring Different Functions for Heuristics, Discretization, and Rule Quality Evaluation in Ant-Miner.

Khalid M. Salama, Fernando E. B. Otero

Proceedings of the Swarm Intelligence - 8th International Conference, 2012

Improving the cAnt-MinerPB Classification Algorithm.

Matthew Medland, Fernando E. B. Otero, Alex Alves Freitas

Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2010

A hierarchical multi-label classification ant colony algorithm for protein function prediction.

Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson

Memetic Comput., 2010

The ACO Encoding.

Alberto Moraglio, Fernando E. B. Otero, Colin G. Johnson

Proceedings of the Swarm Intelligence - 7th International Conference, 2010

2009

An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction.

Fernando E. B. Otero, Marc Segond, Alex Alves Freitas, Colin G. Johnson, Denis Robilliard, Cyril Fonlupt

Proceedings of the Foundations of Computational Intelligence, 2009

A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms.

Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson

Proceedings of the Evolutionary Computation, 2009

Handling continuous attributes in Ant Colony Classification algorithms.

Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008

cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes.

Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

2003

Genetic Programming for Attribute Construction in Data Mining.

Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas, Júlio C. Nievola

Proceedings of the Genetic Programming, 6th European Conference, EuroGP 2003, 2003

2002

Genetic Programming For Attribute Construction In Data Mining.

Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002