Tobias Scheffer

135 papers A* 30A 1B 16Journal 38Unranked 45

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Detection of Alcohol Inebriation from Eye Movements using Remote and Wearable Eye Trackers. ETRA Paul Prasse, David Robert Reich, Jakob Chwastek, Silvia Makowski, Lena A. Jäger, Tobias Scheffer
2025	J	`jnl`	PanThera: predictive analysis of higher-order combination therapies using deep neural networks. Briefings Bioinform. Pedro Alonso Campana, Paul Prasse, Ralf Herwig, Tobias Scheffer
2024	—	`conf`	Fine-Tuning Pre-Trained Language Models with Gaze Supervision. ACL (Short Papers) Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger
2024	J	`jnl`	Improving cognitive-state analysis from eye gaze with synthetic eye-movement data. Comput. Graph. Paul Prasse, David R. Reich, Silvia Makowski, Tobias Scheffer, Lena A. Jäger
2024	A*	`conf`	Predicting Dose-Response Curves with Deep Neural Networks. ICML Pedro Alonso Campana, Paul Prasse, Tobias Scheffer
2023	B	`conf`	Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models. ETRA Daniel G. Krakowczyk, Paul Prasse, David R. Reich, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jäger
2023	J	`jnl`	Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models. CoRR Daniel G. Krakowczyk, Paul Prasse, David R. Reich, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jäger
2023	B	`conf`	Detection of Alcohol Inebriation from Eye Movements. KES Silvia Makowski, Annika Bätz, Paul Prasse, Lena A. Jäger, Tobias Scheffer
2023	—	`conf`	Detection of Drowsiness and Impending Microsleep from Eye Movements. Gaze Meets ML Silvia Makowski, Paul Prasse, Lena Ann Jäger, Tobias Scheffer
2023	J	`jnl`	Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading. CoRR Shuwen Deng, David R. Reich, Paul Prasse, Patrick Haller, Tobias Scheffer, Lena A. Jäger
2023	J	`jnl`	Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading. Proc. ACM Hum. Comput. Interact. Shuwen Deng, David R. Reich, Paul Prasse, Patrick Haller, Tobias Scheffer, Lena A. Jäger
2023	A*	`conf`	Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. EMNLP Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger
2023	J	`jnl`	Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. CoRR Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger
2023	B	`conf`	SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks. ETRA Paul Prasse, David R. Reich, Silvia Makowski, Seoyoung Ahn, Tobias Scheffer, Lena A. Jäger
2022	J	`jnl`	Author Correction: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digit. Medicine Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek
2022	—	`conf`	Detection of ADHD Based on Eye Movements During Natural Viewing. ECML/PKDD (6) Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger
2022	J	`jnl`	Detection of ADHD based on Eye Movements during Natural Viewing. CoRR Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger
2022	B	`conf`	Fairness in Oculomotoric Biometric Identification. ETRA Paul Prasse, David R. Reich, Silvia Makowski, Lena A. Jäger, Tobias Scheffer
2022	B	`conf`	Oculomotoric Biometric Identification under the Influence of Alcohol and Fatigue. IJCB Silvia Makowski, Paul Prasse, Lena A. Jäger, Tobias Scheffer
2022	—	`conf`	Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification. Gaze Meets ML Daniel Krakowczyk, David R. Reich, Paul Prasse, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jäger
2021	J	`jnl`	DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection Using Deep Neural Networks. IEEE Trans. Biom. Behav. Identity Sci. Silvia Makowski, Paul Prasse, David R. Reich, Daniel Krakowczyk, Lena A. Jäger, Tobias Scheffer
2021	—	`conf`	Learning Explainable Representations of Malware Behavior. ECML/PKDD (4) Paul Prasse, Jan Brabec, Jan Kohout, Martin Kopp, Lukás Bajer, Tobias Scheffer
2021	J	`jnl`	Learning Explainable Representations of Malware Behavior. CoRR Paul Prasse, Jan Brabec, Jan Kohout, Martin Kopp, Lukás Bajer, Tobias Scheffer
2020	B	`conf`	Biometric Identification and Presentation-Attack Detection using Micro- and Macro-Movements of the Eyes. IJCB Silvia Makowski, Lena A. Jäger, Paul Prasse, Tobias Scheffer
2020	B	`conf`	Discriminative Viewer Identification using Generative Models of Eye Gaze. KES Silvia Makowski, Lena A. Jäger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, Tobias Scheffer
2020	J	`jnl`	Discriminative Viewer Identification using Generative Models of Eye Gaze. CoRR Silvia Makowski, Lena A. Jäger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, Tobias Scheffer
2020	B	`conf`	On the Relationship between Eye Tracking Resolution and Performance of Oculomotoric Biometric Identification. KES Paul Prasse, Lena A. Jäger, Silvia Makowski, Moritz Feuerpfeil, Tobias Scheffer
2020	J	`jnl`	Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digit. Medicine Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek
2019	—	`conf`	Deep Eyedentification: Biometric Identification Using Micro-movements of the Eye. ECML/PKDD (2) Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer
2019	J	`jnl`	Deep Eyedentification: Biometric Identification using Micro-Movements of the Eye. CoRR Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer
2019	J	`jnl`	Joint Detection of Malicious Domains and Infected Clients. CoRR Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer
2019	J	`jnl`	Joint detection of malicious domains and infected clients. Mach. Learn. Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer
2018	—	`conf`	A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. ECML/PKDD (1) Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer
2018	J	`jnl`	A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. CoRR Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer
2018	—	`conf`	Detecting Autism by Analyzing a Simulated Social Interaction. ECML/PKDD (1) Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer
2017	—	`conf`	Malware Detection by Analysing Encrypted Network Traffic with Neural Networks. ECML/PKDD (2) Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer
2017	—	`conf`	Malware Detection by Analysing Network Traffic with Neural Networks. IEEE Symposium on Security and Privacy Workshops Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer
2017	J	`jnl`	Varying-coefficient models for geospatial transfer learning. Mach. Learn. Matthias Bussas, Christoph Sawade, Nicolas Kühn, Tobias Scheffer, Niels Landwehr
2016	—	`conf`	Huber-Norm Regularization for Linear Prediction Models. ECML/PKDD (1) Oleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft
2016	J	`jnl`	Learning to control a structured-prediction decoder for detection of HTTP-layer DDoS attackers. Mach. Learn. Uwe Dick, Tobias Scheffer
2015	J	`jnl`	Learning to identify concise regular expressions that describe email campaigns. J. Mach. Learn. Res. Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
2015	—	`conf`	Solving Prediction Games with Parallel Batch Gradient Descent. ECML/PKDD (1) Michael Großhans, Tobias Scheffer
2015	J	`jnl`	Varying-coefficient models with isotropic Gaussian process priors. CoRR Matthias Bussas, Christoph Sawade, Tobias Scheffer, Niels Landwehr
2014	A*	`conf`	A Model of Individual Differences in Gaze Control During Reading. EMNLP Niels Landwehr, Sebastian Arzt, Tobias Scheffer, Reinhold Kliegl
2014	—	`conf`	Joint Prediction of Topics in a URL Hierarchy. ECML/PKDD (1) Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr
2013	A*	`conf`	Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract). IJCAI Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
2013	J	`jnl`	Active evaluation of ranking functions based on graded relevance. Mach. Learn. Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
2013	—	`conf`	Bayesian Games for Adversarial Regression Problems. ICML (3) Michael Großhans, Christoph Sawade, Michael Brückner, Tobias Scheffer
2013	A	`conf`	Lagrangian Strain Tensor Computation with Higher Order Variational Models. BMVC Alexander Hewer, Joachim Weickert, Henning Seibert, Tobias Scheffer, Stefan Diebels
2012	—	`conf`	Active Comparison of Prediction Models. NIPS Christoph Sawade, Niels Landwehr, Tobias Scheffer
2012	—	`conf`	Active Evaluation of Ranking Functions Based on Graded Relevance. ECML/PKDD (2) Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
2012	J	`jnl`	Finding Botnets Using Minimal Graph Clusterings CoRR Peter Haider, Tobias Scheffer
2012	A*	`conf`	Finding Botnets Using Minimal Graph Clusterings. ICML Peter Haider, Tobias Scheffer
2012	J	`jnl`	Learning to Identify Regular Expressions that Describe Email Campaigns CoRR Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
2012	A*	`conf`	Learning to Identify Regular Expressions that Describe Email Campaigns. ICML Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
2012	J	`jnl`	Static prediction games for adversarial learning problems. J. Mach. Learn. Res. Michael Brückner, Christian Kanzow, Tobias Scheffer
2011	A*	`ed.`	Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011 ICML Lise Getoor, Tobias Scheffer
2011	A*	`conf`	Stackelberg games for adversarial prediction problems. KDD Michael Brückner, Tobias Scheffer
2010	—	`conf`	Active Estimation of F-Measures. NIPS Christoph Sawade, Niels Landwehr, Tobias Scheffer
2010	A*	`conf`	Active Risk Estimation. ICML Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer
2010	—	`conf`	Throttling Poisson Processes. NIPS Uwe Dick, Peter Haider, Thomas Vanck, Michael Brückner, Tobias Scheffer
2009	A*	`conf`	Bayesian clustering for email campaign detection. ICML Peter Haider, Tobias Scheffer
2009	J	`jnl`	Discriminative Learning Under Covariate Shift. J. Mach. Learn. Res. Steffen Bickel, Michael Brückner, Tobias Scheffer
2009	—	`conf`	Localizing Bugs in Program Executions with Graphical Models. NIPS Laura Dietz, Valentin Dallmeier, Andreas Zeller, Tobias Scheffer
2009	—	`conf`	Nash Equilibria of Static Prediction Games. NIPS Michael Brückner, Tobias Scheffer
2009	J	`jnl`	Scalable pattern mining with Bayesian networks as background knowledge. Data Min. Knowl. Discov. Szymon Jaroszewicz, Tobias Scheffer, Dan A. Simovici
2009	—	`ch.`	Semi-Supervised Learning. Encyclopedia of Data Warehousing and Mining Tobias Scheffer
2008	—	`conf`	Exact and Approximate Inference for Annotating Graphs with Structural SVMs. ECML/PKDD (1) Thoralf Klein, Ulf Brefeld, Tobias Scheffer
2008	A*	`conf`	Learning from incomplete data with infinite imputations. ICML Uwe Dick, Peter Haider, Tobias Scheffer
2008	A*	`conf`	Multi-task learning for HIV therapy screening. ICML Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer
2008	J	`jnl`	Schema matching on streams with accuracy guarantees. Intell. Data Anal. Szymon Jaroszewicz, Lenka Ivantysynova, Tobias Scheffer
2008	—	`conf`	Transfer Learning by Distribution Matching for Targeted Advertising. NIPS Steffen Bickel, Christoph Sawade, Tobias Scheffer
2007	A*	`conf`	Discriminative learning for differing training and test distributions. ICML Steffen Bickel, Michael Brückner, Tobias Scheffer
2007	A*	`conf`	Scalable look-ahead linear regression trees. KDD David S. Vogel, Ognian Asparouhov, Tobias Scheffer
2007	A*	`conf`	Supervised clustering of streaming data for email batch detection. ICML Peter Haider, Ulf Brefeld, Tobias Scheffer
2007	—	`conf`	Support Vector Machines for Collective Inference. MLG Ulf Brefeld, Thoralf Klein, Tobias Scheffer
2007	A*	`conf`	Transductive support vector machines for structured variables. ICML Alexander Zien, Ulf Brefeld, Tobias Scheffer
2007	A*	`conf`	Unsupervised prediction of citation influences. ICML Laura Dietz, Steffen Bickel, Tobias Scheffer
2006	—	`conf`	Dirichlet-Enhanced Spam Filtering based on Biased Samples. NIPS Steffen Bickel, Tobias Scheffer
2006	A*	`conf`	Efficient co-regularised least squares regression. ICML Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel
2006	—	`conf`	Highly Scalable Discriminative Spam Filtering. TREC Michael Brückner, Peter Haider, Tobias Scheffer
2006	—	`ed.`	Knowledge Discovery in Databases: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings PKDD Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou
2006	—	`ed.`	Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings ECML Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou
2006	A*	`conf`	Semi-supervised learning for structured output variables. ICML Ulf Brefeld, Tobias Scheffer
2005	J	`jnl`	Classifying search engine queries using the web as background knowledge. SIGKDD Explor. David S. Vogel, Steffen Bickel, Peter Haider, Rolf Schimpfky, Peter Siemen, Steve Bridges, Tobias Scheffer
2005	—	`conf`	Discovering Communities in Linked Data by Multi-view Clustering. GfKl Isabel Drost, Steffen Bickel, Tobias Scheffer
2005	B	`ed.`	Discovery Science, 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings Discovery Science Achim G. Hoffmann, Hiroshi Motoda, Tobias Scheffer
2005	—	`conf`	Estimation of Mixture Models Using Co-EM. ECML Steffen Bickel, Tobias Scheffer
2005	A*	`conf`	Fast discovery of unexpected patterns in data, relative to a Bayesian network. KDD Szymon Jaroszewicz, Tobias Scheffer
2005	J	`jnl`	Finding association rules that trade support optimally against confidence. Intell. Data Anal. Tobias Scheffer
2005	—	`conf`	Learning to Complete Sentences. ECML Steffen Bickel, Peter Haider, Tobias Scheffer
2005	—	`conf`	Multi-View Hidden Markov Perceptrons. LWA Ulf Brefeld, Christoph Büscher, Tobias Scheffer
2005	—	`conf`	Multi-View Learning and Link Farm Discovery. Probabilistic, Logical and Relational Learning Tobias Scheffer
2005	—	`conf`	Multi-view Discriminative Sequential Learning. ECML Ulf Brefeld, Christoph Büscher, Tobias Scheffer
2005	—	`conf`	Predicting Sentences using N-Gram Language Models. HLT/EMNLP Steffen Bickel, Peter Haider, Tobias Scheffer
2005	J	`jnl`	Systematic feature evaluation for gene name recognition. BMC Bioinform. Jörg Hakenberg, Steffen Bickel, Conrad Plake, Ulf Brefeld, Hagen Zahn, Lukas Faulstich, Ulf Leser, Tobias Scheffer
2005	—	`conf`	Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam. ECML Isabel Drost, Tobias Scheffer
2004	A*	`conf`	Co-EM support vector learning. ICML Ulf Brefeld, Tobias Scheffer
2004	—	`conf`	Efficiency and Stability of Clustering Algorithms for Linked Data. LWA Isabel Drost, Tobias Scheffer
2004	J	`jnl`	Email answering assistance by semi-supervised text classification. Intell. Data Anal. Tobias Scheffer
2004	—	`ed.`	LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4. - 6. Oktober 2004, Workshopwoche der GI-Fachgruppen/Arbeitskreise (1) Fachgruppe Adaptivität und Benutzermodellierung in Interaktiven Softwaresystemen (ABIS 2004), (2) Arbeitskreis Knowledge Discovery (AKKD 2004), (3) Fachgruppe Maschinelles Lernen (FGML 2004), (4) Fachgruppe Wissens- und Erfahrungsmanagement (FGWM 2004) LWA Andreas Abecker, Steffen Bickel, Ulf Brefeld, Isabel Drost, Nicola Henze, Olaf Herden, Mirjam Minor, Tobias Scheffer, Ljiljana Stojanovic, Stephan Weibelzahl
2004	—	`conf`	Learning from Message Pairs for Automatic Email Answering. ECML Steffen Bickel, Tobias Scheffer
2004	J	`jnl`	Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics. Mach. Learn. Mark-A. Krogel, Tobias Scheffer
2004	A*	`conf`	Multi-View Clustering. ICDM Steffen Bickel, Tobias Scheffer
2004	—	`conf`	Multi-View Lernen. LWA Ulf Brefeld, Steffen Bickel, Tobias Scheffer
2004	A*	`conf`	Sentence completion. SIGIR Korinna Grabski, Tobias Scheffer
2004	—	`conf`	Workshop der GI-Fachgruppe "Maschinelles Lernen" (FGML). LWA Tobias Scheffer
2003	A*	`conf`	Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of Genes. ICDM Mark-A. Krogel, Tobias Scheffer
2003	—	`conf`	Effectiveness of information extraction, multi-relational, and multi-view learning for prediction gene deletion experiments. BIOKDD Mark-A. Krogel, Tobias Scheffer
2003	B	`conf`	Learning to Answer Emails. IDA Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer
2003	—	`conf`	Using Transduction and Multi-view Learning to Answer Emails. PKDD Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer
2002	—	`conf`	A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases. PKDD Tobias Scheffer, Stefan Wrobel
2002	J	`jnl`	Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study. SIGKDD Explor. Mark-A. Krogel, Marcus Denecke, Marco Landwehr, Tobias Scheffer
2002	J	`jnl`	Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling. J. Mach. Learn. Res. Tobias Scheffer, Stefan Wrobel
2002	J	`jnl`	Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text. Künstliche Intell. Tobias Scheffer, Stefan Wrobel, Borislav Popov, Damyan Ognianov, Christian Decomain, Susanne Hoche
2001	B	`conf`	Active Hidden Markov Models for Information Extraction. IDA Tobias Scheffer, Christian Decomain, Stefan Wrobel
2001	B	`conf`	Clipping and Analyzing News Using Machine Learning Techniques. Discovery Science Hans Gründel, Tino Naphtali, Christian Wiech, Jan-Marian Gluba, Maiken Rohdenburg, Tobias Scheffer
2001	—	`conf`	Finding Association Rules That Trade Support Optimally against Confidence. PKDD Tobias Scheffer
2001	A*	`conf`	Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. ICML Tobias Scheffer, Stefan Wrobel
2001	A*	`conf`	Mining the Web with Active Hidden Markov Models. ICDM Tobias Scheffer, Christian Decomain, Stefan Wrobel
2000	A*	`conf`	A sequential sampling algorithm for a general class of utility criteria. KDD Tobias Scheffer, Stefan Wrobel
2000	B	`conf`	Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees. ALT Tobias Scheffer
2000	—	`conf`	Nonparametric Regularization of Decision Trees. ECML Tobias Scheffer
2000	A*	`conf`	Predicting the Generalization Performance of Cross Validatory Model Selection Criteria. ICML Tobias Scheffer
1999	J	`jnl`	Error Estimation and Model Selection. Künstliche Intell. Tobias Scheffer
1999	—	`—`	Error estimation and model selection. Tobias Scheffer
1999	A*	`conf`	Expected Error Analysis for Model Selection. ICML Tobias Scheffer, Thorsten Joachims
1999	J	`jnl`	International Conference on Machine Learning (ICML-99). Künstliche Intell. Tobias Scheffer
1999	B	`conf`	The VC-Dimension of Subclasses of Pattern. ALT Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan
1998	—	`conf`	Estimating the Expected Error of Empirical Minimizers for Model Selection. AAAI/IAAI Tobias Scheffer, Thorsten Joachims
1997	—	`conf`	Unbiased Assesment of Learning Algorithms. IJCAI (2) Tobias Scheffer, Ralf Herbrich
1997	A*	`conf`	Why Experimentation can be better than "Perfect Guidance". ICML Tobias Scheffer, Russell Greiner, Christian Darken
1996	J	`jnl`	Aerial Robotics in Computer Science Education. Comput. Sci. Educ. Marion Finke, Günter Hommel, Tobias Scheffer, Fritz Wysotzki
1996	B	`conf`	Efficient Theta-Subsumption Based on Graph Algorithms. Inductive Logic Programming Workshop Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki
1995	—	`conf`	A Generic Algorithm for Learning Rules with Hierarchical Exceptions. SBIA Tobias Scheffer