Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: RBM-SMOTE: Restricted boltzmann machines for synthetic minority oversampling technique
Local neighbourhood extension of SMOTE for mining imbalanced data
borderline - smote : a new over - sampling method in imbalanced data sets learning .
Sparse Group Restricted Boltzmann Machines
Efficient resampling methods for training support vector machines with imbalanced datasets
An overview on Restricted Boltzmann Machines
On the Challenges of Physical Implementations of RBMs
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance
Hybrid sampling for imbalanced data
A Practical Guide to Training Restricted Boltzmann Machines
An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets
An Introduction to Restricted Boltzmann Machines
Cluster-based sampling of multiclass imbalanced data
C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
RACOG and wRACOG: Two Probabilistic Oversampling Techniques
A Large-Scale Architecture for Restricted Boltzmann Machines
Rectified Linear Units Improve Restricted Boltzmann Machines
Coupling different methods for overcoming the class imbalance problem
Random Balance : Ensembles of variable priors classifiers for imbalanced data
Applying support vector machines to imbalanced datasets
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs
Co-infection with Opisthorchis viverrini and Haplorchis taichui detected by human fecal examination in Chomtong district, Chiang Mai Province, Thailand.
Exploring glycolate oxidase (GOX) as an antiurolithic drug target: molecular modeling and in vitro inhibitor study.
Explicitly representing expected cost: an alternative to ROC representation
Functional foods: psychological and behavioural functions
Rings: an efficient Java/Scala library for polynomial rings