| Topological Graph Neural Networks | 0 | 0.34 | 2022 |
| Biological Network Analysis With Deep Learning | 2 | 0.48 | 2021 |
| Network-Guided Search For Genetic Heterogeneity Between Gene Pairs | 0 | 0.34 | 2021 |
| Filtration Curves for Graph Representation | 0 | 0.34 | 2021 |
| Graph Kernels: State-of-the-Art and Future Challenges | 0 | 0.34 | 2020 |
| Kernel conditional clustering and kernel conditional semi-supervised learning | 0 | 0.34 | 2020 |
| Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra. | 0 | 0.34 | 2020 |
| Prediction of cancer driver genes through network-based moment propagation of mutation scores. | 0 | 0.34 | 2020 |
| Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence | 0 | 0.34 | 2020 |
| Set Functions for Time Series | 0 | 0.34 | 2020 |
| Sphn/Phrt: Forming A Swiss-Wide Infrastructure For Data-Driven Sepsis Research | 0 | 0.34 | 2020 |
| AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana. | 0 | 0.34 | 2020 |
| Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. | 0 | 0.34 | 2019 |
| A Wasserstein Subsequence Kernel For Time Series | 0 | 0.34 | 2019 |
| Finding Statistically Significant Interactions between Continuous Features. | 1 | 0.36 | 2019 |
| Wasserstein Weisfeiler-Lehman Graph Kernels. | 1 | 0.35 | 2019 |
| A Persistent Weisfeiler--Lehman Procedure for Graph Classification | 0 | 0.34 | 2019 |
| Machine learning for early prediction of circulatory failure in the intensive care unit. | 0 | 0.34 | 2019 |
| Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping. | 1 | 0.35 | 2019 |
| Temporal Convolutional Networks and Dynamic Time Warping can Drastically Improve the Early Prediction of Sepsis. | 0 | 0.34 | 2019 |
| CASMAP: Detection of statistically significant combinations of SNPs in association mapping. | 0 | 0.34 | 2019 |
| Introduction to the special issue for the ECML PKDD 2019 journal track. | 0 | 0.34 | 2019 |
| Topological Autoencoders. | 0 | 0.34 | 2019 |
| Multi-target drug repositioning by bipartite block-wise sparse multi-task learning. | 0 | 0.34 | 2018 |
| Accurate and adaptive imputation of summary statistics in mixed-ethnicity cohorts. | 0 | 0.34 | 2018 |
| The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog. | 2 | 0.37 | 2018 |
| Association mapping in biomedical time series via statistically significant shapelet mining. | 3 | 0.38 | 2018 |
| Kernelized rank learning for personalized drug recommendation. | 3 | 0.38 | 2018 |
| Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. | 1 | 0.36 | 2018 |
| graphkernels: R and Python packages for graph comparison. | 5 | 0.42 | 2018 |
| Multi-view Spectral Clustering on Conflicting Views. | 2 | 0.36 | 2017 |
| Genome-wide genetic heterogeneity discovery with categorical covariates. | 2 | 0.51 | 2017 |
| Significant Pattern Mining on Continuous Variables. | 0 | 0.34 | 2017 |
| AraPheno: a public database for Arabidopsis thaliana phenotypes. | 2 | 0.41 | 2017 |
| Kernel Conditional Clustering | 1 | 0.37 | 2017 |
| Finding significant combinations of features in the presence of categorical covariates. | 2 | 0.36 | 2016 |
| Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing | 6 | 0.46 | 2015 |
| Halting in Random Walk Kernels | 8 | 0.59 | 2015 |
| Searching for significant patterns in stratified data | 0 | 0.34 | 2015 |
| Genome-wide detection of intervals of genetic heterogeneity associated with complex traits | 4 | 0.96 | 2015 |
| Significant Subgraph Mining with Multiple Testing Correction. | 6 | 0.63 | 2015 |
| In silico phenotyping via co-training for improved phenotype prediction from genotype | 1 | 0.35 | 2015 |
| Multi-Task Feature Selection on Multiple Networks via Maximum Flows. | 1 | 0.36 | 2014 |
| Identifying Higher-order Combinations of Binary Features. | 0 | 0.34 | 2014 |
| It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals. | 11 | 0.66 | 2013 |
| Detecting regulatory gene-environment interactions with unmeasured environmental factors. | 2 | 0.38 | 2013 |
| Rapid Distance-Based Outlier Detection via Sampling. | 20 | 0.71 | 2013 |
| Scalable kernels for graphs with continuous attributes. | 34 | 1.04 | 2013 |
| A Lasso multi-marker mixed model for association mapping with population structure correction. | 16 | 1.51 | 2013 |
| Geometric tree kernels: classification of COPD from airway tree geometry. | 6 | 0.54 | 2013 |
