| Temporal pattern attention for multivariate time series forecasting |
18 |
| The online performance estimation framework: heterogeneous ensemble learning for data streams |
17 |
| Manifold-based synthetic oversampling with manifold conformance estimation |
13 |
| Emotion in reinforcement learning agents and robots: a survey |
12 |
| Meta-QSAR: a large-scale application of meta-learning to drug design and discovery |
11 |
| Analysis of classifiers' robustness to adversarial perturbations |
11 |
| Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation |
10 |
| Similarity encoding for learning with dirty categorical variables |
10 |
| ML-Plan: Automated machine learning via hierarchical planning |
10 |
| Instance spaces for machine learning classification |
9 |
| Online multi-label dependency topic models for text classification |
8 |
| Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP |
8 |
| Dolores: a model that predicts football match outcomes from all over the world |
7 |
| A greedy feature selection algorithm for Big Data of high dimensionality |
7 |
| Accelerated gradient boosting |
7 |
| Nonparametric predictive distributions based on conformal prediction |
6 |
| Ensembles for multi-target regression with random output selections |
6 |
| Optimizing non-decomposable measures with deep networks |
5 |
| Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning |
5 |
| Learning to predict soccer results from relational data with gradient boosted trees |
5 |
| Incorporating domain knowledge in machine learning for soccer outcome prediction |
5 |
| Efficient feature selection using shrinkage estimators |
5 |
| N-ary decomposition for multi-class classification |
5 |
| Distributed multi-task classification: a decentralized online learning approach |
5 |
| Wasserstein discriminant analysis |
5 |
| Rethinking statistical learning theory: learning using statistical invariants |
5 |
| Dynamic attention-integrated neural network for session-based news recommendation |
5 |
| An adaptive heuristic for feature selection based on complementarity |
4 |
| Approximate structure learning for large Bayesian networks |
4 |
| Efficient benchmarking of algorithm configurators via model-based surrogates |
4 |
| LPiTrack: Eye movement pattern recognition algorithm and application to biometric identification |
4 |
| Simple strategies for semi-supervised feature selection |
4 |
| The randomized information coefficient: assessing dependencies in noisy data |
4 |
| 1-Bit matrix completion: PAC-Bayesian analysis of a variational approximation |
4 |
| A comparison of hierarchical multi-output recognition approaches for anuran classification |
4 |
| On better training the infinite restricted Boltzmann machines |
3 |
| Global multi-output decision trees for interaction prediction |
3 |
| A distributed Frank-Wolfe framework for learning low-rank matrices with the trace norm |
3 |
| Data complexity meta-features for regression problems |
3 |
| Modeling outcomes of soccer matches |
3 |
| Reservoir of diverse adaptive learners and stacking fast hoeffding drift detection methods for evolving data streams |
3 |
| Analyzing business process anomalies using autoencoders |
3 |
| Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms |
3 |
| Data scarcity, robustness and extreme multi-label classification |
3 |
| Learning efficient logic programs |
3 |
| Arbitrage of forecasting experts |
3 |
| Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion |
2 |
| Semi-supervised online structure learning for composite event recognition |
2 |
| Compatible natural gradient policy search |
2 |
| Learning rates for kernel-based expectile regression |
2 |
