Stefan Kramer 0001
59 publications
13 venues
H Index 21
Affiliation
Johannes Gutenberg University Mainz, Institute of Computer Science, GermanyLinks
| Name | Venue | Year | citations |
|---|---|---|---|
Invariant Representations with Stochastically Quantized Neural Networks.
|
AAAI | 2023 | 0 |
| Classifying Aircraft Categories from Magnetometry Data Using a Hypotheses-Based Multi-Task Framework.
|
ECAI | 2023 | 0 |
| A Brief History of Learning Symbolic Higher-Level Representations from Data (And a Curious Look Forward).
|
IJCAI | 2020 | 11 |
| Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance.
|
ECML/PKDD | 2019 | 24 |
| Decoupling Sparsity and Smoothness in the Dirichlet Variational Autoencoder Topic Model.
|
JMLR | 2019 | 43 |
| Online estimation of discrete, continuous, and conditional joint densities using classifier chains.
|
DMKD | 2018 | 5 |
| Online multi-label dependency topic models for text classification.
|
MLJ | 2018 | 36 |
| Online Sparse Collapsed Hybrid Variational-Gibbs Algorithm for Hierarchical Dirichlet Process Topic Models.
|
ECML/PKDD | 2017 | 4 |
| The best privacy defense is a good privacy offense: obfuscating a search engine user's profile.
|
DMKD | 2017 | 0 |
| A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders.
|
PAKDD | 2016 | 21 |
| Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions.
|
ECML/PKDD | 2016 | 1 |
| Cinema Data Mining: The Smell of Fear.
|
KDD | 2015 | 11 |
| Scavenger - A Framework for Efficient Evaluation of Dynamic and Modular Algorithms.
|
ECML/PKDD | 2015 | 1 |
| BMaD - A Boolean Matrix Decomposition Framework.
|
ECML/PKDD | 2014 | 4 |
| Prototype-based learning on concept-drifting data streams.
|
KDD | 2014 | 54 |
| Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules.
|
ECAI | 2014 | 0 |
| Online Estimation of Discrete Densities.
|
ICDM | 2013 | 8 |
| A structural cluster kernel for learning on graphs.
|
KDD | 2012 | 13 |
| Scalable Induction of Probabilistic Real-Time Automata Using Maximum Frequent Pattern Based Clustering.
|
SDM | 2012 | 6 |
| Online Induction of Probabilistic Real Time Automata.
|
ICDM | 2012 | 0 |
| Parallel Structural Graph Clustering.
|
ECML/PKDD | 2011 | 14 |
| Clustering with Attribute-Level Constraints.
|
ICDM | 2011 | 17 |
| Efficient mining for structurally diverse subgraph patterns in large molecular databases.
|
MLJ | 2011 | 11 |
| Latent Structure Pattern Mining.
|
ECML/PKDD | 2010 | 3 |
| Online Structural Graph Clustering Using Frequent Subgraph Mining.
|
ECML/PKDD | 2010 | 25 |
| A Numerical Refinement Operator Based on Multi-Instance Learning.
|
ILP | 2010 | 5 |
| Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships.
|
AAAI | 2010 | 7 |
| Large-scale graph mining using backbone refinement classes.
|
KDD | 2009 | 14 |
| Finding Relational Associations in HIV Resistance Mutation Data.
|
ILP | 2009 | 12 |
| Kernel-Based Inductive Transfer.
|
ECML/PKDD | 2008 | 53 |
| Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research.
|
ICDM | 2008 | 31 |
| Inductive logic programming for gene regulation prediction.
|
MLJ | 2008 | 17 |
| SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model.
|
ECML/PKDD | 2008 | 16 |
| Margin-based first-order rule learning.
|
MLJ | 2008 | 0 |
| Optimizing Feature Sets for Structured Data.
|
ECML/PKDD | 2007 | 21 |
| A statistical approach to rule learning.
|
ICML | 2006 | 27 |
| Introduction to the special issue on multi-relational data mining and statistical relational learning.
|
MLJ | 2006 | 2 |
| Optimal String Mining Under Frequency Constraints.
|
ECML/PKDD | 2006 | 44 |
| Inductive Logic Programming for Gene Regulation Prediction.
|
ILP | 2006 | 0 |
| Margin-Based First-Order Rule Learning.
|
ILP | 2006 | 0 |
| Ensembles of Balanced Nested Dichotomies for Multi-class Problems.
|
ECML/PKDD | 2005 | 84 |
| Fast Frequent String Mining Using Suffix Arrays.
|
ICDM | 2005 | 26 |
| Towards tight bounds for rule learning.
|
ICML | 2004 | 14 |
| Quantitative Association Rules Based on Half-Spaces: An Optimization Approach.
|
ICDM | 2004 | 40 |
| Ensembles of nested dichotomies for multi-class problems.
|
ICML | 2004 | 129 |
| Stochastic Local Search in k-Term DNF Learning.
|
ICML | 2003 | 0 |
| Phase Transitions and Stochastic Local Search in k-Term DNF Learning.
|
ECML/PKDD | 2002 | 40 |
| Transformation-Based Regression.
|
ICML | 2002 | 4 |
| The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding.
|
IJCAI | 2001 | 163 |
| Demand-Driven Construction of Structural Features in ILP.
|
ILP | 2001 | 16 |
| Feature Construction with Version Spaces for Biochemical Applications.
|
ICML | 2001 | 110 |
| Molecular feature mining in HIV data.
|
KDD | 2001 | 260 |
| Learning to Use Operational Advice.
|
ECAI | 2000 | 5 |
| Experiments in Predicting Biodegradability.
|
ILP | 1999 | 88 |
| Stochastic Propositionalization of Non-determinate Background Knowledge.
|
ILP | 1998 | 43 |
| Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail.
|
KDD | 1997 | 13 |
| Can We Benefit from Metrics in KBS Development?
|
IJCAI | 1997 | 0 |
| Efficient Search for Strong Partial Determinations.
|
KDD | 1996 | 7 |
| Compression-Based Evaluation of Partial Determinations.
|
KDD | 1995 | 43 |