OFA
|
IJCNN |
2024 |
0 |
OFA
|
IJCNN |
2023 |
0 |
Wind Speed Forecasting via Multi-task Learning.
|
IJCNN |
2021 |
1 |
Multi-criteria analysis involving Pareto-optimal misclassification tradeoffs on imbalanced datasets.
|
IJCNN |
2020 |
0 |
Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning.
|
IJCAI |
2019 |
6 |
Investigating multiobjective methods in multitask classification.
|
IJCNN |
2018 |
1 |
Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning.
|
AAAI |
2017 |
12 |
Multi-task Sparse Structure Learning with Gaussian Copula Models.
|
JMLR |
2016 |
56 |
Multi-Label Structure Learning with Ising Model Selection.
|
IJCAI |
2015 |
10 |
Multi-task Sparse Structure Learning.
|
CIKM |
2014 |
37 |
The Influence of Supervised Clustering for RBFNN Centers Definition: A Comparative Study.
|
ICANN |
2012 |
0 |
Performance analysis of nonlinear echo state network readouts in signal processing tasks.
|
IJCNN |
2012 |
7 |
Automatic feature selection for BCI: An analysis using the davies-bouldin index and extreme learning machines.
|
IJCNN |
2012 |
22 |
An echo state network architecture based on volterra filtering and PCA with application to the channel equalization problem.
|
IJCNN |
2011 |
29 |
A neural architecture to address Reinforcement Learning problems.
|
IJCNN |
2011 |
2 |
Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System.
|
IEEE Trans. Neural Networks |
2011 |
31 |
Learning Bayesian networks to perform feature selection.
|
IJCNN |
2009 |
2 |
Long-term time series prediction using wrappers for variable selection and clustering for data partition.
|
IJCNN |
2007 |
6 |
A Wrapper for Projection Pursuit Learning.
|
IJCNN |
2007 |
2 |
Data partition and variable selection for time series prediction using wrappers.
|
IJCNN |
2006 |
5 |
The Influence of the Pool of Candidates on the Performance of Selection and Combination Techniques in Ensembles.
|
IJCNN |
2006 |
21 |
A Supervised Constructive Neuro-Immune Network for Pattern Classification.
|
IJCNN |
2006 |
6 |
Bayesian Learning of Neural Networks by Means of Artificial Immune Systems.
|
IJCNN |
2006 |
8 |
An Immunological Density-Preserving Approach to the Synthesis of RBF Neural Networks for classification.
|
IJCNN |
2006 |
12 |
Support Vector Clustering Applied to Digital Communications.
|
IJCNN |
2006 |
0 |
A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem.
|
IJCNN |
2006 |
18 |
Mixture of heterogeneous experts applied to time series: a comparative study.
|
IJCNN |
2005 |
6 |
Least-squares support vector machines for DOA estimation: a step-by-step description and sensitivity analysis.
|
IJCNN |
2005 |
6 |
Constructive neural network in model-based control of a biotechnological process.
|
IJCNN |
2003 |
2 |
Transductive support vector machines for classification of microarray gene expression data.
|
IJCNN |
2003 |
2 |
Improved second-order training algorithms for globally and partially recurrent neural networks.
|
IJCNN |
1999 |
0 |
An improving pruning technique with restart for the Kohonen self-organizing feature map.
|
IJCNN |
1999 |
4 |
Hybrid tuning of activation functions in feedforward neural networks.
|
IJCNN |
1999 |
2 |
Evolutionary hybrid composition of activation functions in feedforward neural networks.
|
IJCNN |
1999 |
9 |