| 2025 | ETRA | Detection of Alcohol Inebriation from Eye Movements using Remote and Wearable Eye Trackers. | Paul Prasse, David Robert Reich, Jakob Chwastek, Silvia Makowski, Lena A. Jger, Tobias Scheffer |
| 2024 | ACL | Fine-Tuning Pre-Trained Language Models with Gaze Supervision. | Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jger |
| 2024 | ICML | Predicting Dose-Response Curves with Deep Neural Networks. | Pedro Alonso Campana, Paul Prasse, Tobias Scheffer |
| 2023 | EMNLP | Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. | Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jger |
| 2023 | ETRA | Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models. | Daniel G. Krakowczyk, Paul Prasse, David R. Reich, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jger |
| 2023 | ETRA | SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks. | Paul Prasse, David R. Reich, Silvia Makowski, Seoyoung Ahn, Tobias Scheffer, Lena A. Jger |
| 2023 | KES | Detection of Alcohol Inebriation from Eye Movements. | Silvia Makowski, Annika Btz, Paul Prasse, Lena A. Jger, Tobias Scheffer |
| 2022 | ETRA | Fairness in Oculomotoric Biometric Identification. | Paul Prasse, David R. Reich, Silvia Makowski, Lena A. Jger, Tobias Scheffer |
| 2020 | KES | Discriminative Viewer Identification using Generative Models of Eye Gaze. | Silvia Makowski, Lena A. Jger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, Tobias Scheffer |
| 2020 | KES | On the Relationship between Eye Tracking Resolution and Performance of Oculomotoric Biometric Identification. | Paul Prasse, Lena A. Jger, Silvia Makowski, Moritz Feuerpfeil, Tobias Scheffer |
| 2017 | SP | Malware Detection by Analysing Network Traffic with Neural Networks. | Paul Prasse, Luks Machlica, Toms Pevn, Jir Havelka, Tobias Scheffer |
| 2014 | EMNLP | A Model of Individual Differences in Gaze Control During Reading. | Niels Landwehr, Sebastian Arzt, Tobias Scheffer, Reinhold Kliegl |
| 2013 | BMVC | Lagrangian Strain Tensor Computation with Higher Order Variational Models. | Alexander Hewer, Joachim Weickert, Henning Seibert, Tobias Scheffer, Stefan Diebels |
| 2013 | ICML | Bayesian Games for Adversarial Regression Problems. | Michael Grohans, Christoph Sawade, Michael Brckner, Tobias Scheffer |
| 2013 | IJCAI | Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract). | Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr |
| 2012 | ICML | Finding Botnets Using Minimal Graph Clusterings. | Peter Haider, Tobias Scheffer |
| 2012 | ICML | Learning to Identify Regular Expressions that Describe Email Campaigns. | Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer |
| 2011 | KDD | Stackelberg games for adversarial prediction problems. | Michael Brckner, Tobias Scheffer |
| 2010 | ICML | Active Risk Estimation. | Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer |
| 2009 | ICML | Bayesian clustering for email campaign detection. | Peter Haider, Tobias Scheffer |
| 2008 | ICML | Multi-task learning for HIV therapy screening. | Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer |
| 2008 | ICML | Learning from incomplete data with infinite imputations. | Uwe Dick, Peter Haider, Tobias Scheffer |
| 2007 | ICML | Discriminative learning for differing training and test distributions. | Steffen Bickel, Michael Brckner, Tobias Scheffer |
| 2007 | ICML | Unsupervised prediction of citation influences. | Laura Dietz, Steffen Bickel, Tobias Scheffer |
| 2007 | ICML | Supervised clustering of streaming data for email batch detection. | Peter Haider, Ulf Brefeld, Tobias Scheffer |
| 2007 | ICML | Transductive support vector machines for structured variables. | Alexander Zien, Ulf Brefeld, Tobias Scheffer |
| 2007 | KDD | Scalable look-ahead linear regression trees. | David S. Vogel, Ognian Asparouhov, Tobias Scheffer |
| 2006 | ICML | Efficient co-regularised least squares regression. | Ulf Brefeld, Thomas Grtner, Tobias Scheffer, Stefan Wrobel |
| 2006 | ICML | Semi-supervised learning for structured output variables. | Ulf Brefeld, Tobias Scheffer |
| 2005 | KDD | Fast discovery of unexpected patterns in data, relative to a Bayesian network. | Szymon Jaroszewicz, Tobias Scheffer |
| 2005 | NAACL | Predicting Sentences using N-Gram Language Models. | Steffen Bickel, Peter Haider, Tobias Scheffer |
| 2004 | ICDM | Multi-View Clustering. | Steffen Bickel, Tobias Scheffer |
| 2004 | ICML | Co-EM support vector learning. | Ulf Brefeld, Tobias Scheffer |
| 2004 | SIGIR | Sentence completion. | Korinna Grabski, Tobias Scheffer |
| 2003 | ICDM | Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of Genes. | Mark-A. Krogel, Tobias Scheffer |
| 2003 | IDA | Learning to Answer Emails. | Michael Kockelkorn, Andreas Lneburg, Tobias Scheffer |
| 2003 | KDD | Effectiveness of information extraction, multi-relational, and multi-view learning for prediction gene deletion experiments. | Mark-A. Krogel, Tobias Scheffer |
| 2001 | DIS | Clipping and Analyzing News Using Machine Learning Techniques. | Hans Grndel, Tino Naphtali, Christian Wiech, Jan-Marian Gluba, Maiken Rohdenburg, Tobias Scheffer |
| 2001 | ICDM | Mining the Web with Active Hidden Markov Models. | Tobias Scheffer, Christian Decomain, Stefan Wrobel |
| 2001 | ICML | Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. | Tobias Scheffer, Stefan Wrobel |
| 2001 | IDA | Active Hidden Markov Models for Information Extraction. | Tobias Scheffer, Christian Decomain, Stefan Wrobel |
| 2000 | ALT | Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees. | Tobias Scheffer |
| 2000 | ICML | Predicting the Generalization Performance of Cross Validatory Model Selection Criteria. | Tobias Scheffer |
| 2000 | KDD | A sequential sampling algorithm for a general class of utility criteria. | Tobias Scheffer, Stefan Wrobel |
| 1999 | ALT | The VC-Dimension of Subclasses of Pattern. | Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan |
| 1999 | ICML | Expected Error Analysis for Model Selection. | Tobias Scheffer, Thorsten Joachims |
| 1998 | AAAI | Estimating the Expected Error of Empirical Minimizers for Model Selection. | Tobias Scheffer, Thorsten Joachims |
| 1997 | ICML | Why Experimentation can be better than "Perfect Guidance". | Tobias Scheffer, Russell Greiner, Christian Darken |
| 1997 | IJCAI | Unbiased Assesment of Learning Algorithms. | Tobias Scheffer, Ralf Herbrich |
| 1996 | ILP | Efficient Theta-Subsumption Based on Graph Algorithms. | Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki |