David Quintana

Orcid: 0000-0003-0320-1695

According to our database1, David Quintana authored at least 39 papers between 2005 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Non-photorealistic rendering as a feedback strategy in virtual reality for rehabilitation.
Virtual Real., March, 2024

2023
A survey on machine learning for recurring concept drifting data streams.
Expert Syst. Appl., 2023

2022
AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud.
Int. J. Interact. Multim. Artif. Intell., 2022

Editor's Note.
Int. J. Interact. Multim. Artif. Intell., 2022

Authoring Tools for Procedural Modeling of Virtual Reality-Based Rehabilitation Exercises.
IEEE Access, 2022

2021
Dynamic Generation of Investment Recommendations Using Grammatical Evolution.
Int. J. Interact. Multim. Artif. Intell., 2021

Resampled Efficient Frontier Integration for MOEAs.
Entropy, 2021

2020
Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators.
Expert Syst. Appl., 2020

2019
Data-Driven Interaction Review of an Ed-Tech Application.
Sensors, 2019

Evolution of trading strategies with flexible structures: A configuration comparison.
Neurocomputing, 2019

Incremental Market Behavior Classification in Presence of Recurring Concepts.
Entropy, 2019

Evolutionary hash functions for specific domains.
Appl. Soft Comput., 2019

Grammatical Evolution-based ensembles for algorithmic trading.
Appl. Soft Comput., 2019

2018
Guest Editorial Special Issue on Complex Systems in Finance and Economics.
IEEE Syst. J., 2018

Improving Children's Experience on a Mobile EdTech Platform through a Recommender System.
Mob. Inf. Syst., 2018

Fuzzy techniques for IPO underpricing prediction.
J. Intell. Fuzzy Syst., 2018

A recommender system based on implicit feedback for selective dissemination of ebooks.
Inf. Sci., 2018

Comparison of Recommender Systems in an Ed-Tech Application.
CoRR, 2018

Computational Intelligence in Finance and Economics [Guest Editorial].
IEEE Comput. Intell. Mag., 2018

2017
Clustering technique for large-scale home care crew scheduling problems.
Appl. Intell., 2017

2016
Enhancing Financial Portfolio Robustness with an Objective Based on ϵ-Neighborhoods.
Int. J. Inf. Technol. Decis. Mak., 2016

Robust technical trading strategies using GP for algorithmic portfolio selection.
Expert Syst. Appl., 2016

2015
Combining RMT-based filtering with time-stamped resampling for robust portfolio optimization.
Int. J. Comput. Intell. Syst., 2015

2014
Soft computing in finance and economics.
AI Commun., 2014

Extended mean-variance model for reliable evolutionary portfolio optimization.
AI Commun., 2014

2013
Multiobjective Algorithms with Resampling for Portfolio Optimization.
Comput. Informatics, 2013

2012
Time-stamped resampling for robust evolutionary portfolio optimization.
Expert Syst. Appl., 2012

2011
Portfolio Optimization Using SPEA2 with Resampling.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Intelligent system for monitoring and stoichiometric optimization of combustion.
Proceedings of the 8th International Conference on Electrical Engineering, 2011

2009
Two-layered evolutionary forecasting for IPO underpricing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Early bankruptcy prediction using ENPC.
Appl. Intell., 2008

Soft computing techniques applied to finance.
Appl. Intell., 2008

2007
Effects of a Rationing Rule on the AUSUBEL Auction: A Genetic Algorithm Implementation.
Comput. Intell., 2007

Applied Computational Intelligence for Finance and Economics.
Comput. Intell., 2007

Bidding with memory in the presence of synergies: a genetic algorithm implementation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Evolutionary-stable strategies with increasing and decreasing marginal utilities in the Ausubel auction.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Genetic Algorithms versus Human Bidding Strategies for Auctions.
Proceedings of the Soft Computing as Transdisciplinary Science and Technology, 2005

Evolutionary rule-based system for IPO underpricing prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Analysis of Ausubel auctions by means of evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005


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