Tobias Scheffer
67 publications
11 venues
H Index 27
Affiliation
University of Potsdam, GermanyMax Planck Institute for Informatics, Saarbr cken, Germany
Links
| Name | Venue | Year | citations |
|---|---|---|---|
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding.
|
EMNLP | 2023 | 0 |
| Detection of ADHD Based on Eye Movements During Natural Viewing.
|
ECML/PKDD | 2022 | 0 |
| Learning Explainable Representations of Malware Behavior.
|
ECML/PKDD | 2021 | 1 |
| Joint detection of malicious domains and infected clients.
|
MLJ | 2019 | 3 |
| Deep Eyedentification: Biometric Identification Using Micro-movements of the Eye.
|
ECML/PKDD | 2019 | 21 |
| A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements.
|
ECML/PKDD | 2018 | 15 |
| Detecting Autism by Analyzing a Simulated Social Interaction.
|
ECML/PKDD | 2018 | 11 |
| Malware Detection by Analysing Encrypted Network Traffic with Neural Networks.
|
ECML/PKDD | 2017 | 21 |
| Varying-coefficient models for geospatial transfer learning.
|
MLJ | 2017 | 20 |
| Huber-Norm Regularization for Linear Prediction Models.
|
ECML/PKDD | 2016 | 12 |
| Learning to control a structured-prediction decoder for detection of HTTP-layer DDoS attackers.
|
MLJ | 2016 | 12 |
| Learning to identify concise regular expressions that describe email campaigns.
|
JMLR | 2015 | 16 |
| Solving Prediction Games with Parallel Batch Gradient Descent.
|
ECML/PKDD | 2015 | 4 |
| A Model of Individual Differences in Gaze Control During Reading.
|
EMNLP | 2014 | 12 |
| Joint Prediction of Topics in a URL Hierarchy.
|
ECML/PKDD | 2014 | 4 |
| Active evaluation of ranking functions based on graded relevance.
|
MLJ | 2013 | 4 |
| Bayesian Games for Adversarial Regression Problems.
|
ICML | 2013 | 47 |
| Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract).
|
IJCAI | 2013 | 0 |
| Active Comparison of Prediction Models.
|
NIPS/NeurIPS | 2012 | 7 |
| Learning to Identify Regular Expressions that Describe Email Campaigns.
|
ICML | 2012 | 17 |
| Active Evaluation of Ranking Functions Based on Graded Relevance.
|
ECML/PKDD | 2012 | 1 |
| Finding Botnets Using Minimal Graph Clusterings.
|
ICML | 2012 | 3 |
| Static prediction games for adversarial learning problems.
|
JMLR | 2012 | 194 |
| Stackelberg games for adversarial prediction problems.
|
KDD | 2011 | 226 |
| Throttling Poisson Processes.
|
NIPS/NeurIPS | 2010 | 0 |
| Active Risk Estimation.
|
ICML | 2010 | 52 |
| Active Estimation of F-Measures.
|
NIPS/NeurIPS | 2010 | 26 |
| Nash Equilibria of Static Prediction Games.
|
NIPS/NeurIPS | 2009 | 80 |
| Scalable pattern mining with Bayesian networks as background knowledge.
|
DMKD | 2009 | 34 |
| Discriminative Learning Under Covariate Shift.
|
JMLR | 2009 | 7 |
| Localizing Bugs in Program Executions with Graphical Models.
|
NIPS/NeurIPS | 2009 | 22 |
| Bayesian clustering for email campaign detection.
|
ICML | 2009 | 11 |
| Multi-task learning for HIV therapy screening.
|
ICML | 2008 | 200 |
| Transfer Learning by Distribution Matching for Targeted Advertising.
|
NIPS/NeurIPS | 2008 | 42 |
| Exact and Approximate Inference for Annotating Graphs with Structural SVMs.
|
ECML/PKDD | 2008 | 4 |
| Learning from incomplete data with infinite imputations.
|
ICML | 2008 | 52 |
| Transductive support vector machines for structured variables.
|
ICML | 2007 | 50 |
| Discriminative learning for differing training and test distributions.
|
ICML | 2007 | 422 |
| Supervised clustering of streaming data for email batch detection.
|
ICML | 2007 | 42 |
| Unsupervised prediction of citation influences.
|
ICML | 2007 | 276 |
| Scalable look-ahead linear regression trees.
|
KDD | 2007 | 32 |
| Dirichlet-Enhanced Spam Filtering based on Biased Samples.
|
NIPS/NeurIPS | 2006 | 97 |
| Semi-supervised learning for structured output variables.
|
ICML | 2006 | 76 |
| Efficient co-regularised least squares regression.
|
ICML | 2006 | 175 |
| Estimation of Mixture Models Using Co-EM.
|
ECML/PKDD | 2005 | 54 |
| Multi-view Discriminative Sequential Learning.
|
ECML/PKDD | 2005 | 50 |
| Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam.
|
ECML/PKDD | 2005 | 97 |
| Learning to Complete Sentences.
|
ECML/PKDD | 2005 | 37 |
| Fast discovery of unexpected patterns in data, relative to a Bayesian network.
|
KDD | 2005 | 58 |
| Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics.
|
MLJ | 2004 | 76 |
| Multi-View Clustering.
|
ICDM | 2004 | 715 |
| Co-EM support vector learning.
|
ICML | 2004 | 203 |
| Learning from Message Pairs for Automatic Email Answering.
|
ECML/PKDD | 2004 | 20 |
| Sentence completion.
|
SIGIR | 2004 | 0 |
| Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of Genes.
|
ICDM | 2003 | 6 |
| Using Transduction and Multi-view Learning to Answer Emails.
|
ECML/PKDD | 2003 | 30 |
| A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases.
|
ECML/PKDD | 2002 | 7 |
| Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling.
|
JMLR | 2002 | 0 |
| Mining the Web with Active Hidden Markov Models.
|
ICDM | 2001 | 21 |
| Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems.
|
ICML | 2001 | 9 |
| Finding Association Rules That Trade Support Optimally against Confidence.
|
ECML/PKDD | 2001 | 247 |
| Predicting the Generalization Performance of Cross Validatory Model Selection Criteria.
|
ICML | 2000 | 4 |
| A sequential sampling algorithm for a general class of utility criteria.
|
KDD | 2000 | 25 |
| Nonparametric Regularization of Decision Trees.
|
ECML/PKDD | 2000 | 2 |
| Expected Error Analysis for Model Selection.
|
ICML | 1999 | 15 |
| Unbiased Assesment of Learning Algorithms.
|
IJCAI | 1997 | 0 |
| Why Experimentation can be better than "Perfect Guidance".
|
ICML | 1997 | 7 |