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Fernando E. B. Otero
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- affiliation: University of Kent, Canterbury, Kent, United Kingdom
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2020 – today
- 2024
- [j16]Meryem Bagriacik, Fernando E. B. Otero
:
Multiple fairness criteria in decision tree learning. Appl. Soft Comput. 167: 112313 (2024) - 2023
- [j15]Adesola Adegboye, Michael Kampouridis, Fernando E. B. Otero:
Algorithmic trading with directional changes. Artif. Intell. Rev. 56(6): 5619-5644 (2023) - 2022
- [j14]Ayah Helal
Data stream classification with ant colony optimisation. Int. J. Intell. Syst. 37(9): 5725-5751 (2022) - [c48]Ismail Mohamed, Fernando E. B. Otero:
A Performance Study of Multiobjective Particle Swarm Optimization Algorithms for Market Timing. CIFEr 2022: 1-10 - [c47]Sergey Ovchinnik, Fernando E. B. Otero, Alex Alves Freitas:
Nested trees for longitudinal classification. SAC 2022: 441-444 - 2021
- [j13]Helen Costa
A Novel Hybrid Feature Selection Algorithm for Hierarchical Classification. IEEE Access 9: 127278-127292 (2021) - [j12]Adesola Adegboye
Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms. Int. J. Intell. Syst. 36(12): 7609-7640 (2021) - [c46]Nishanthan Kamaleson, Dominique F. Chu, Fernando E. B. Otero:
Automatic Information Extraction from Electronic Documents Using Machine Learning. SGAI Conf. 2021: 183-194 - [c45]Gaurav Misra, Matteo Migliavacca, Fernando E. B. Otero:
Behavioural User Identification from Clickstream Data for Business Improvement. SGAI Conf. 2021: 341-354 - 2020
- [c44]Ismail Mohamed
A multiobjective optimization approach for market timing. GECCO 2020: 22-30 - [c43]Valéria de Carvalho Santos, Fernando E. B. Otero, Colin G. Johnson
Exploratory path planning for mobile robots in dynamic environments with ant colony optimization. GECCO 2020: 40-48
2010 – 2019
- 2019
- [c42]Ismail Mohamed, Fernando E. B. Otero:
Using Population-based Metaheuristics and Trend Representative Testing to Compose Strategies for Market Timing. IJCCI 2019: 59-69 - [c41]Sergey Ovchinnik
Monotonicity Detection and Enforcement in Longitudinal Classification. SGAI Conf. 2019: 63-77 - 2018
- [c40]Ayah Helal
Archive-Based Pheromone Model for Discovering Regression Rules with Ant Colony Optimization. CEC 2018: 1-7 - [c39]James Brookhouse
Post-Processing Methods to Enforce Monotonic Constraints in Ant Colony Classification Algorithms. IJCNN 2018: 1-8 - 2017
- [j11]Michael Kampouridis
Evolving trading strategies using directional changes. Expert Syst. Appl. 73: 145-160 (2017) - [j10]Héctor D. Menéndez, Fernando E. B. Otero, David Camacho:
Extending the SACOC algorithm through the Nyström method for dense manifold data analysis. Int. J. Bio Inspired Comput. 10(2): 127-135 (2017) - [j9]Michael Kampouridis
Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm. Soft Comput. 21(2): 295-310 (2017) - [c38]Ayah Helal
Automatic design of ant-miner mixed attributes for classification rule discovery. GECCO 2017: 433-440 - [c37]Fernando E. B. Otero:
MYRA: a Java ant colony optimization framework for classification algorithms. GECCO (Companion) 2017: 1247-1254 - 2016
- [j8]Fernando E. B. Otero, Alex Alves Freitas
Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm: Extended Results. Evol. Comput. 24(3): 385-409 (2016) - [j7]Héctor D. Menéndez, Fernando E. B. Otero
Medoid-based clustering using ant colony optimization. Swarm Intell. 10(2): 123-145 (2016) - [c36]James Brookhouse
Monotonicity in Ant Colony Classification Algorithms. ANTS Conference 2016: 137-148 - [c35]Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Luis Fernando Miranda, Gisele L. Pappa:
Revisiting the Sequential Symbolic Regression Genetic Programming. BRACIS 2016: 163-168 - [c34]Valéria de Carvalho Santos, Fernando Santos Osório
Exploratory path planning using the Max-min ant system algorithm. CEC 2016: 4229-4235 - [c33]Ayah Helal
A Mixed-Attribute Approach in Ant-Miner Classification Rule Discovery Algorithm. GECCO 2016: 13-20 - [c32]James Brookhouse
Using an Ant Colony Optimization Algorithm for Monotonic Regression Rule Discovery. GECCO 2016: 437-444 - [c31]Luiz Otávio Vilas Boas Oliveira
A Dispersion Operator for Geometric Semantic Genetic Programming. GECCO 2016: 773-780 - [c30]Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa:
A Generic Framework for Building Dispersion Operators in the Semantic Space. GPTP 2016: 179-195 - [c29]Luiz Otávio Vilas Boas Oliveira, Luis Fernando Miranda, Gisele L. Pappa, Fernando E. B. Otero, Ricardo H. C. Takahashi
Reducing Dimensionality to Improve Search in Semantic Genetic Programming. PPSN 2016: 375-385 - 2015
- [j6]Julio Albinati, Samuel E. L. Oliveira, Fernando E. B. Otero, Gisele L. Pappa:
An ant colony-based semi-supervised approach for learning classification rules. Swarm Intell. 9(4): 315-341 (2015) - [c28]Julio Albinati, Gisele L. Pappa, Fernando E. B. Otero, Luiz Otávio Vilas Boas Oliveira:
The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems. EuroGP 2015: 3-15 - [c27]Jeremie Gypteau, Fernando E. B. Otero, Michael Kampouridis
Generating Directional Change Based Trading Strategies with Genetic Programming. EvoApplications 2015: 267-278 - [c26]James Brookhouse
Discovering Regression Rules with Ant Colony Optimization. GECCO (Companion) 2015: 1005-1012 - [c25]Khalid M. Salama, Ashraf M. Abdelbar, Fernando E. B. Otero:
Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers. SSCI 2015: 1146-1153 - 2014
- [j5]Fernando E. B. Otero, Antonio D. Masegosa
Thematic issue on advances in nature inspired cooperative strategies for optimization. Memetic Comput. 6(3): 147-148 (2014) - [c24]Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
MACOC: A Medoid-Based ACO Clustering Algorithm. ANTS Conference 2014: 122-133 - [c23]Fernando E. B. Otero, Michael Kampouridis
A Comparative Study on the Use of Classification Algorithms in Financial Forecasting. EvoApplications 2014: 276-287 - [c22]James Brookhouse
Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results. GECCO (Companion) 2014: 1117-1124 - [c21]Claris Leroux, Fernando E. B. Otero, Colin G. Johnson
A genetic programming problem definition language code generator for the epochX framework. GECCO (Companion) 2014: 1149-1154 - [c20]Luiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa, Julio Albinati:
Sequential Symbolic Regression with Genetic Programming. GPTP 2014: 73-90 - [c19]Héctor D. Menéndez, Fernando E. B. Otero, David Camacho
SACOC: A Spectral-Based ACO Clustering Algorithm. IDC 2014: 185-194 - [c18]Khalid M. Salama, Fernando E. B. Otero:
Learning Multi-tree Classification Models with Ant Colony Optimization. IJCCI (ECTA) 2014: 38-48 - 2013
- [j4]Khalid M. Salama, Ashraf M. Abdelbar, Fernando E. B. Otero, Alex Alves Freitas
Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. Appl. Soft Comput. 13(1): 667-675 (2013) - [j3]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson
A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms. IEEE Trans. Evol. Comput. 17(1): 64-76 (2013) - [c17]Khalid M. Salama, Fernando E. B. Otero:
Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner. IEEE Congress on Evolutionary Computation 2013: 900-907 - [c16]Fernando E. B. Otero, Colin G. Johnson
Automated Problem Decomposition for the Boolean Domain with Genetic Programming. EuroGP 2013: 169-180 - [c15]Fernando E. B. Otero, Alex Alves Freitas
Improving the interpretability of classification rules discovered by an ant colony algorithm. GECCO 2013: 73-80 - [c14]Loïc Vaseux, Fernando E. B. Otero, Tom Castle
Event-based graphical monitoring in the EpochX genetic programming framework. GECCO (Companion) 2013: 1309-1316 - [c13]Michael Kampouridis
Using Attribute Construction to Improve the Predictability of a GP Financial Forecasting Algorithm. TAAI 2013: 55-60 - [e1]Germán Terrazas, Fernando E. B. Otero, Antonio D. Masegosa:
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) - Learning, Optimization and Interdisciplinary Applications, Canterbury, UK, September 2-4, 2013. Studies in Computational Intelligence 512, Springer 2013, ISBN 978-3-319-01691-7 [contents] - 2012
- [j2]Fernando E. B. Otero, Alex Alves Freitas, Colin G. Johnson
Inducing decision trees with an ant colony optimization algorithm. Appl. Soft Comput. 12(11): 3615-3626 (2012) - [c12]Matthew Medland, Fernando E. B. Otero, Alex Alves Freitas
Improving the cAnt-MinerPB Classification Algorithm. ANTS 2012: 73-84 - [c11]Khalid M. Salama, Fernando E. B. Otero:
Exploring Different Functions for Heuristics, Discretization, and Rule Quality Evaluation in Ant-Miner. ANTS 2012: 344-345 - [c10]Alberto Moraglio
Evolving recursive programs using non-recursive scaffolding. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c9]Matthew Medland, Fernando E. B. Otero:
A study of different quality evaluation functions in the cAnt-Miner(PB) classification algorithm. GECCO 2012: 49-56 - [c8]Fernando E. B. Otero, Tom Castle
EpochX: genetic programming in java with statistics and event monitoring. GECCO (Companion) 2012: 93-100 - 2010
- [j1]Fernando E. B. Otero, Alex Alves Freitas
A hierarchical multi-label classification ant colony algorithm for protein function prediction. Memetic Comput. 2(3): 165-181 (2010) - [c7]Alberto Moraglio, Fernando E. B. Otero, Colin G. Johnson
The ACO Encoding. ANTS Conference 2010: 528-535
2000 – 2009
- 2009
- [c6]Fernando E. B. Otero, Alex Alves Freitas
Handling continuous attributes in Ant Colony Classification algorithms. CIDM 2009: 225-231 - [c5]Fernando E. B. Otero, Alex Alves Freitas
A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms. EvoBIO 2009: 68-79 - [p1]Fernando E. B. Otero, Marc Segond, Alex Alves Freitas, Colin G. Johnson
An Empirical Evaluation of the Effectiveness of Different Types of Predictor Attributes in Protein Function Prediction. Foundations of Computational Intelligence (5) 2009: 339-357 - 2008
- [c4]Fernando E. B. Otero, Alex Alves Freitas
cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes. ANTS Conference 2008: 48-59 - 2003
- [c3]Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas, Júlio C. Nievola:
Genetic Programming for Attribute Construction in Data Mining. EuroGP 2003: 384-393 - 2002
- [c2]Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas:
Genetic Programming for Attribute Construction in Data Mining. GECCO Late Breaking Papers 2002: 370-376 - [c1]Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas:
Genetic Programming For Attribute Construction In Data Mining. GECCO 2002: 1270
Coauthor Index
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last updated on 2024-11-07 21:29 CET by the dblp team
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