| Spatial Prediction of COVID-19 Pandemic Dynamics in the United States | 0 | 0.34 | 2022 |
| Efficient Multitask Multiple Kernel Learning With Application to Cancer Research | 0 | 0.34 | 2022 |
| ATM Allocation Using Decision Tree-Based Algorithms. | 0 | 0.34 | 2021 |
| PrognosiT: Pathway/gene set-based tumour volume prediction using multiple kernel learning | 0 | 0.34 | 2021 |
| A multitask multiple kernel learning formulation for discriminating early- and late-stage cancers. | 2 | 0.37 | 2020 |
| Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting Trees | 0 | 0.34 | 2020 |
| A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology | 0 | 0.34 | 2019 |
| Path2Surv: Pathway/gene set-based survival analysis using multiple kernel learning. | 0 | 0.34 | 2019 |
| Structured Gaussian Processes with Twin Multiple Kernel Learning. | 0 | 0.34 | 2018 |
| Discriminating early- and late-stage cancers using multiple kernel learning on gene sets. | 1 | 0.35 | 2018 |
| Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies. | 0 | 0.34 | 2017 |
| Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulation. | 1 | 0.41 | 2016 |
| AUC Maximization in Bayesian Hierarchical Models. | 0 | 0.34 | 2016 |
| BaTFLED: Bayesian Tensor Factorization Linked to External Data. | 0 | 0.34 | 2016 |
| Understanding emotional impact of images using Bayesian multiple kernel learning. | 8 | 0.47 | 2015 |
| Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology. | 17 | 0.89 | 2014 |
| Bayesian Multiview Dimensionality Reduction for Learning Predictive Subspaces. | 1 | 0.34 | 2014 |
| Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning. | 3 | 0.50 | 2014 |
| Multi-task and multi-view learning of user state | 5 | 0.48 | 2014 |
| Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization. | 16 | 0.88 | 2014 |
| Embedding Heterogeneous Data by Preserving Multiple Kernels. | 1 | 0.35 | 2014 |
| Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel learning. | 8 | 0.56 | 2014 |
| Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. | 10 | 0.55 | 2013 |
| Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. | 2 | 0.38 | 2013 |
| Localized algorithms for multiple kernel learning | 33 | 0.94 | 2013 |
| Bayesian supervised dimensionality reduction. | 5 | 0.40 | 2013 |
| Supervised Multiple Kernel Embedding for Learning Predictive Subspaces | 5 | 0.48 | 2013 |
| Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization. | 76 | 2.03 | 2012 |
| Bayesian Efficient Multiple Kernel Learning. | 13 | 0.63 | 2012 |
| A Localized MKL Method for Brain Classification with Known Intra-class Variability. | 1 | 0.35 | 2012 |
| Probabilistic and discriminative group-wise feature selection methods for credit risk analysis | 3 | 0.38 | 2012 |
| A Bayesian Multiple Kernel Learning Framework for Single and Multiple Output Regression. | 1 | 0.35 | 2012 |
| Bayesian Supervised Multilabel Learning with Coupled Embedding and Classification. | 1 | 0.35 | 2012 |
| Regularizing multiple kernel learning using response surface methodology | 6 | 0.43 | 2011 |
| Combining data sources nonlinearly for cell nucleus classification of renal cell carcinoma | 0 | 0.34 | 2011 |
| Multitask learning using regularized multiple kernel learning | 2 | 0.38 | 2011 |
| Multiple Kernel Learning Algorithms | 180 | 5.44 | 2011 |
| Cost-conscious multiple kernel learning | 6 | 0.44 | 2010 |
| Supervised learning of local projection kernels | 4 | 0.41 | 2010 |
| Localized multiple kernel learning | 121 | 3.51 | 2008 |
