| The non-linear nature of the cost of comprehensibility | 0 | 0.34 | 2022 |
| A Comparison Of Instance-Level Counterfactual Explanation Algorithms For Behavioral And Textual Data: Sedc, Lime-C And Shap-C | 1 | 0.37 | 2020 |
| Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data. | 0 | 0.34 | 2019 |
| Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data. | 6 | 0.46 | 2018 |
| Iteratively refining SVMs using priors | 0 | 0.34 | 2015 |
| Dynamic Experiments for Estimating Preferences: An Adaptive Method of Eliciting Time and Risk Parameters | 4 | 0.52 | 2013 |
| A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs | 0 | 0.34 | 2012 |
| Content Contributor Management and Network Effects in a UGC Environment | 11 | 0.55 | 2012 |
| Link Discovery using Graph Feature Tracking. | 5 | 0.43 | 2010 |
| A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization | 117 | 6.17 | 2009 |
| Implementation of collaborative e-supply-chain initiatives: an initial challenging and final success case from grocery retailing | 4 | 0.47 | 2009 |
| Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires | 12 | 0.75 | 2008 |
| Convex multi-task feature learning | 625 | 25.14 | 2008 |
| Emerging machine learning techniques in signal processing | 2 | 0.41 | 2008 |
| Multi-Task Feature Learning | 511 | 30.73 | 2006 |
| Low-rank matrix factorization with attributes | 26 | 9.93 | 2006 |
| Stability of Randomized Learning Algorithms | 33 | 1.60 | 2005 |
| Learning Multiple Tasks with Kernel Methods | 395 | 20.75 | 2005 |
| Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers | 43 | 3.03 | 2004 |
| Regularized multi--task learning | 605 | 29.29 | 2004 |
| Image Representations and Feature Selection for Multimedia Database Search | 30 | 1.48 | 2003 |
| A Simple Algorithm for Learning Stable Machines | 5 | 0.59 | 2002 |
| Support Vector Machines with Clustering for Training with Very Large Datasets | 4 | 0.43 | 2002 |
| Learning Preference Relations from Data | 2 | 0.36 | 2002 |
| Support vector machines: theory and applications | 5 | 0.54 | 2001 |
| Bounds on the Generalization Performance of Kernel Machine Ensembles | 9 | 2.21 | 2000 |
| Statistical Learning Theory: A Primer | 9 | 1.19 | 2000 |
| Regularization Networks and Support Vector Machines | 519 | 67.99 | 2000 |
| Dynamic pricing in a reputation-brokered agent-mediated marketplace | 4 | 0.45 | 2000 |
| A Note on the Generalization Performance of Kernel Classifiers with Margin | 1 | 1.94 | 2000 |
| On the Vgamma Dimension for Regression in Reproducing Kernel Hilbert Spaces | 14 | 2.91 | 1999 |
| From Regression to Classification in Support Vector Machines | 3 | 7.60 | 1999 |
