Scheffer, Tobias

61 publications

ICML 2024 Predicting Dose-Response Curves with Deep Neural Networks Pedro Alonso Campana, Paul Prasse, Tobias Scheffer

NeurIPSW 2023 Detection of Drowsiness and Impending Microsleep from Eye Movements Silvia Makowski, Paul Prasse, Lena Ann Jäger, Tobias Scheffer

ECML-PKDD 2022 Detection of ADHD Based on Eye Movements During Natural Viewing Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger

NeurIPSW 2022 Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification Daniel Krakowczyk, David Robert Reich, Paul Prasse, Sebastian Lapuschkin, Lena Ann Jäger, Tobias Scheffer

ECML-PKDD 2021 Learning Explainable Representations of Malware Behavior Paul Prasse, Jan Brabec, Jan Kohout, Martin Kopp, Lukás Bajer, Tobias Scheffer

ECML-PKDD 2019 Deep Eyedentification: Biometric Identification Using Micro-Movements of the Eye Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer

MLJ 2019 Joint Detection of Malicious Domains and Infected Clients Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer

ECML-PKDD 2018 A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer

ECML-PKDD 2018 Detecting Autism by Analyzing a Simulated Social Interaction Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer

ECML-PKDD 2017 Malware Detection by Analysing Encrypted Network Traffic with Neural Networks Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer

MLJ 2017 Varying-Coefficient Models for Geospatial Transfer Learning Matthias Bussas, Christoph Sawade, Nicolas Kühn, Tobias Scheffer, Niels Landwehr

ECML-PKDD 2016 Huber-Norm Regularization for Linear Prediction Models Oleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft

MLJ 2016 Learning to Control a Structured-Prediction Decoder for Detection of HTTP-Layer DDoS Attackers Uwe Dick, Tobias Scheffer

JMLR 2015 Learning to Identify Concise Regular Expressions That Describe Email Campaigns Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer

ECML-PKDD 2015 Solving Prediction Games with Parallel Batch Gradient Descent Michael Großhans, Tobias Scheffer

ECML-PKDD 2014 Joint Prediction of Topics in a URL Hierarchy Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr

MLJ 2013 Active Evaluation of Ranking Functions Based on Graded Relevance Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr

IJCAI 2013 Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract) Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr

ICML 2013 Bayesian Games for Adversarial Regression Problems Michael Großhans, Christoph Sawade, Michael Brückner, Tobias Scheffer

NeurIPS 2012 Active Comparison of Prediction Models Christoph Sawade, Niels Landwehr, Tobias Scheffer

ECML-PKDD 2012 Active Evaluation of Ranking Functions Based on Graded Relevance Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr

ICML 2012 Finding Botnets Using Minimal Graph Clusterings Peter Haider, Tobias Scheffer

ICML 2012 Learning to Identify Regular Expressions That Describe Email Campaigns Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer

JMLR 2012 Static Prediction Games for Adversarial Learning Problems Michael Brückner, Christian Kanzow, Tobias Scheffer

ICML 2011 Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011 Lise Getoor, Tobias Scheffer

NeurIPS 2010 Active Estimation of F-Measures Christoph Sawade, Niels Landwehr, Tobias Scheffer

ICML 2010 Active Risk Estimation Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer

NeurIPS 2010 Throttling Poisson Processes Uwe Dick, Peter Haider, Thomas Vanck, Michael Brückner, Tobias Scheffer

ICML 2009 Bayesian Clustering for Email Campaign Detection Peter Haider, Tobias Scheffer

JMLR 2009 Discriminative Learning Under Covariate Shift Steffen Bickel, Michael Brückner, Tobias Scheffer

NeurIPS 2009 Localizing Bugs in Program Executions with Graphical Models Laura Dietz, Valentin Dallmeier, Andreas Zeller, Tobias Scheffer

NeurIPS 2009 Nash Equilibria of Static Prediction Games Michael Brückner, Tobias Scheffer

ECML-PKDD 2008 Exact and Approximate Inference for Annotating Graphs with Structural SVMs Thoralf Klein, Ulf Brefeld, Tobias Scheffer

ICML 2008 Learning from Incomplete Data with Infinite Imputations Uwe Dick, Peter Haider, Tobias Scheffer

ICML 2008 Multi-Task Learning for HIV Therapy Screening Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer

NeurIPS 2008 Transfer Learning by Distribution Matching for Targeted Advertising Steffen Bickel, Christoph Sawade, Tobias Scheffer

ICML 2007 Discriminative Learning for Differing Training and Test Distributions Steffen Bickel, Michael Brückner, Tobias Scheffer

ICML 2007 Supervised Clustering of Streaming Data for Email Batch Detection Peter Haider, Ulf Brefeld, Tobias Scheffer

ICML 2007 Transductive Support Vector Machines for Structured Variables Alexander Zien, Ulf Brefeld, Tobias Scheffer

ICML 2007 Unsupervised Prediction of Citation Influences Laura Dietz, Steffen Bickel, Tobias Scheffer

NeurIPS 2006 Dirichlet-Enhanced Spam Filtering Based on Biased Samples Steffen Bickel, Tobias Scheffer

ICML 2006 Efficient Co-Regularised Least Squares Regression Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel

ECML-PKDD 2006 Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou

ICML 2006 Semi-Supervised Learning for Structured Output Variables Ulf Brefeld, Tobias Scheffer

ECML-PKDD 2005 Estimation of Mixture Models Using Co-EM Steffen Bickel, Tobias Scheffer

ECML-PKDD 2005 Learning to Complete Sentences Steffen Bickel, Peter Haider, Tobias Scheffer

ECML-PKDD 2005 Multi-View Discriminative Sequential Learning Ulf Brefeld, Christoph Büscher, Tobias Scheffer

ECML-PKDD 2005 Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam Isabel Drost, Tobias Scheffer

ICML 2004 Co-EM Support Vector Learning Ulf Brefeld, Tobias Scheffer

ECML-PKDD 2004 Learning from Message Pairs for Automatic Email Answering Steffen Bickel, Tobias Scheffer

MLJ 2004 Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics Mark-A. Krogel, Tobias Scheffer

JMLR 2002 Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling Tobias Scheffer, Stefan Wrobel

ICML 2001 Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems Tobias Scheffer, Stefan Wrobel

ALT 2000 Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees Tobias Scheffer

ECML-PKDD 2000 Nonparametric Regularization of Decision Trees Tobias Scheffer

ICML 2000 Predicting the Generalization Performance of Cross Validatory Model Selection Criteria Tobias Scheffer

ICML 1999 Expected Error Analysis for Model Selection Tobias Scheffer, Thorsten Joachims

ALT 1999 The VC-Dimension of Subclasses of Pattern Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan

AAAI 1998 Estimating the Expected Error of Empirical Minimizers for Model Selection Tobias Scheffer, Thorsten Joachims

IJCAI 1997 Unbiased Assesment of Learning Algorithms Tobias Scheffer, Ralf Herbrich

ICML 1997 Why Experimentation Can Be Better than "Perfect Guidance" Tobias Scheffer, Russell Greiner, Christian Darken