EDGE: Evolutionary Directed Graph Ensembles
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[1] Álvaro Alonso,et al. Regression tree ensembles for wind energy and solar radiation prediction , 2017, Neurocomputing.
[2] Hui Zhang,et al. HLPI-Ensemble: Prediction of human lncRNA-protein interactions based on ensemble strategy , 2018, RNA biology.
[3] Jing J. Liang,et al. A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems , 2018, Swarm Evol. Comput..
[4] Konstantinos Kamnitsas,et al. Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation , 2017, BrainLes@MICCAI.
[5] Li Guo,et al. E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams , 2015, IEEE Transactions on Knowledge and Data Engineering.
[6] D. Opitz,et al. Popular Ensemble Methods: An Empirical Study , 1999, J. Artif. Intell. Res..
[7] Ingoo Han,et al. Hybrid genetic algorithms and support vector machines for bankruptcy prediction , 2006, Expert Syst. Appl..
[8] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[9] S. Shen-Orr,et al. Network motifs in the transcriptional regulation network of Escherichia coli , 2002, Nature Genetics.
[10] Xavier Fontes,et al. Hybrid Approaches for Time Series Prediction , 2018, HIS.
[11] Guoqiang Peter Zhang,et al. Time series forecasting using a hybrid ARIMA and neural network model , 2003, Neurocomputing.
[12] Caitlin M. A. Simopoulos,et al. Prediction of plant lncRNA by ensemble machine learning classifiers , 2018, BMC Genomics.
[13] L. Deng,et al. The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web] , 2012, IEEE Signal Processing Magazine.
[14] Francisco Javier García Castellano,et al. Expert Systems With Applications , 2022 .
[15] Carlos A. Coello Coello,et al. Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art , 2018, IEEE Trans. Evol. Comput..
[16] Jane Labadin,et al. A Hybrid of Functional Networks and Support Vector Machine models for the prediction of petroleum reservoir properties , 2011, 2011 11th International Conference on Hybrid Intelligent Systems (HIS).
[17] Avesta Sasan,et al. Ensemble Learning for Effective Run-Time Hardware-Based Malware Detection: A Comprehensive Analysis and Classification , 2018, 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC).
[18] Concha Bielza,et al. Multi-dimensional Bayesian Network Classifier Trees , 2018, IDEAL.
[19] Ping-Feng Pai,et al. A hybrid ARIMA and support vector machines model in stock price forecasting , 2005 .
[20] Monique Snoeck,et al. Profit maximizing logistic model for customer churn prediction using genetic algorithms , 2017, Swarm Evol. Comput..
[21] Miguel Rocha,et al. Data-driven reverse engineering of signaling pathways using ensembles of dynamic models , 2017, PLoS Comput. Biol..
[22] Luis M. Candanedo,et al. Data driven prediction models of energy use of appliances in a low-energy house , 2017 .
[23] Yanru Zhang,et al. A gradient boosting method to improve travel time prediction , 2015 .
[24] Dongrong Xu,et al. Altered resting-state intra- and inter- network functional connectivity in patients with persistent somatoform pain disorder , 2017, PloS one.
[25] Charles Fleurent,et al. Genetic and hybrid algorithms for graph coloring , 1996, Ann. Oper. Res..
[26] Yacine Rezgui,et al. Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression , 2018, Energy.
[27] Hongyan Wu,et al. Time series analysis of weekly influenza-like illness rate using a one-year period of factors in random forest regression. , 2017, Bioscience trends.
[28] Risto Miikkulainen,et al. Evolving Neural Networks through Augmenting Topologies , 2002, Evolutionary Computation.
[29] Dipti Srinivasan,et al. A Survey of Multiobjective Evolutionary Algorithms Based on Decomposition , 2017, IEEE Transactions on Evolutionary Computation.
[30] Shingo Mabu,et al. A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning , 2007, Evolutionary Computation.
[31] Samuel Kounev,et al. Telescope: A Hybrid Forecast Method for Univariate Time Series , 2017 .
[32] Jiujun Cheng,et al. Incorporation of Solvent Effect into Multi-Objective Evolutionary Algorithm for Improved Protein Structure Prediction , 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[33] Ajith Abraham,et al. Hybrid Evolutionary Algorithms: Methodologies, Architectures, and Reviews , 2007 .
[34] David Dureisseix,et al. Modular hybrid models to simulate the static and dynamic behaviour of high-speed thin-rimmed gears , 2019, Journal of Sound and Vibration.
[35] Byung Ro Moon,et al. Genetic Algorithm and Graph Partitioning , 1996, IEEE Trans. Computers.
[36] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.
[37] Danial Jahed Armaghani,et al. Three hybrid intelligent models in estimating flyrock distance resulting from blasting , 2018, Engineering with Computers.
[38] Gregory Dobler,et al. Patterns of waste generation: A gradient boosting model for short-term waste prediction in New York City. , 2017, Waste management.
[39] Hyun-Chul Kim,et al. Constructing support vector machine ensemble , 2003, Pattern Recognit..