Tobias Scheffer

According to our database, Tobias Scheffer authored at least 111 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading.

Shuwen Deng, David R. Reich, Paul Prasse, Patrick Haller, Tobias Scheffer, Lena A. Jäger

Proc. ACM Hum. Comput. Interact., May, 2023

Detection of Alcohol Inebriation from Eye Movements.

Silvia Makowski, Annika Bätz, Paul Prasse, Lena A. Jäger, Tobias Scheffer

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks.

Paul Prasse, David R. Reich, Silvia Makowski, Seoyoung Ahn, Tobias Scheffer, Lena A. Jäger

Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

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. Jäger

Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding.

Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Author Correction: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT).

Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek

npj Digit. Medicine, 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Oculomotoric Biometric Identification under the Influence of Alcohol and Fatigue.

Silvia Makowski, Paul Prasse, Lena A. Jäger, Tobias Scheffer

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification.

Daniel Krakowczyk, David R. Reich, Paul Prasse, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jäger

Proceedings of The 1st Gaze Meets ML workshop, 2022

Fairness in Oculomotoric Biometric Identification.

Paul Prasse, David R. Reich, Silvia Makowski, Lena A. Jäger, Tobias Scheffer

Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

2021

DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection Using Deep Neural Networks.

Silvia Makowski, Paul Prasse, David R. Reich, Daniel Krakowczyk, Lena A. Jäger, Tobias Scheffer

IEEE Trans. Biom. Behav. Identity Sci., 2021

Learning Explainable Representations of Malware Behavior.

Paul Prasse, Jan Brabec, Jan Kohout, Martin Kopp, Lukás Bajer, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020

Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT).

Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek

npj Digit. Medicine, 2020

On the Relationship between Eye Tracking Resolution and Performance of Oculomotoric Biometric Identification.

Paul Prasse, Lena A. Jäger, Silvia Makowski, Moritz Feuerpfeil, Tobias Scheffer

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Discriminative Viewer Identification using Generative Models of Eye Gaze.

Silvia Makowski, Lena A. Jäger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, Tobias Scheffer

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Biometric Identification and Presentation-Attack Detection using Micro- and Macro-Movements of the Eyes.

Silvia Makowski, Lena A. Jäger, Paul Prasse, Tobias Scheffer

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

2019

Joint detection of malicious domains and infected clients.

Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer

Mach. Learn., 2019

Deep Eyedentification: Biometric Identification Using Micro-movements of the Eye.

Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Detecting Autism by Analyzing a Simulated Social Interaction.

Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017

Varying-coefficient models for geospatial transfer learning.

Matthias Bussas, Christoph Sawade, Nicolas Kühn, Tobias Scheffer, Niels Landwehr

Mach. Learn., 2017

Malware Detection by Analysing Network Traffic with Neural Networks.

Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer

Proceedings of the 2017 IEEE Security and Privacy Workshops, 2017

Malware Detection by Analysing Encrypted Network Traffic with Neural Networks.

Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

Learning to control a structured-prediction decoder for detection of HTTP-layer DDoS attackers.

Uwe Dick, Tobias Scheffer

Mach. Learn., 2016

Huber-Norm Regularization for Linear Prediction Models.

Oleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015

Learning to identify concise regular expressions that describe email campaigns.

Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer

J. Mach. Learn. Res., 2015

Varying-coefficient models with isotropic Gaussian process priors.

Matthias Bussas, Christoph Sawade, Tobias Scheffer, Niels Landwehr

CoRR, 2015

Solving Prediction Games with Parallel Batch Gradient Descent.

Michael Großhans, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

Joint Prediction of Topics in a URL Hierarchy.

Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A Model of Individual Differences in Gaze Control During Reading.

Niels Landwehr, Sebastian Arzt, Tobias Scheffer, Reinhold Kliegl

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Active evaluation of ranking functions based on graded relevance.

Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr

Mach. Learn., 2013

Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract).

Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr

Proceedings of the IJCAI 2013, 2013

Bayesian Games for Adversarial Regression Problems.

Michael Großhans, Christoph Sawade, Michael Brückner, Tobias Scheffer

Proceedings of the 30th International Conference on Machine Learning, 2013

Lagrangian Strain Tensor Computation with Higher Order Variational Models.

Alexander Hewer, Joachim Weickert, Henning Seibert, Tobias Scheffer, Stefan Diebels

Proceedings of the British Machine Vision Conference, 2013

2012

Static prediction games for adversarial learning problems.

Michael Brückner, Christian Kanzow, Tobias Scheffer

J. Mach. Learn. Res., 2012

Active Comparison of Prediction Models.

Christoph Sawade, Niels Landwehr, Tobias Scheffer

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning to Identify Regular Expressions that Describe Email Campaigns.

Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer

Proceedings of the 29th International Conference on Machine Learning, 2012

Finding Botnets Using Minimal Graph Clusterings.

Peter Haider, Tobias Scheffer

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Stackelberg games for adversarial prediction problems.

Michael Brückner, Tobias Scheffer

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

Active Estimation of F-Measures.

Christoph Sawade, Niels Landwehr, Tobias Scheffer

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Throttling Poisson Processes.

Uwe Dick, Peter Haider, Thomas Vanck, Michael Brückner, Tobias Scheffer

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Active Risk Estimation.

Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Semi-Supervised Learning.

Tobias Scheffer

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Discriminative Learning Under Covariate Shift.

Steffen Bickel, Michael Brückner, Tobias Scheffer

J. Mach. Learn. Res., 2009

Scalable pattern mining with Bayesian networks as background knowledge.

Szymon Jaroszewicz, Tobias Scheffer, Dan A. Simovici

Data Min. Knowl. Discov., 2009

Localizing Bugs in Program Executions with Graphical Models.

Laura Dietz, Valentin Dallmeier, Andreas Zeller, Tobias Scheffer

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Nash Equilibria of Static Prediction Games.

Michael Brückner, Tobias Scheffer

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Bayesian clustering for email campaign detection.

Peter Haider, Tobias Scheffer

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Schema matching on streams with accuracy guarantees.

Szymon Jaroszewicz, Lenka Ivantysynova, Tobias Scheffer

Intell. Data Anal., 2008

Exact and Approximate Inference for Annotating Graphs with Structural SVMs.

Thoralf Klein, Ulf Brefeld, Tobias Scheffer

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Transfer Learning by Distribution Matching for Targeted Advertising.

Steffen Bickel, Christoph Sawade, Tobias Scheffer

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Learning from incomplete data with infinite imputations.

Uwe Dick, Peter Haider, Tobias Scheffer

Proceedings of the Machine Learning, 2008

Multi-task learning for HIV therapy screening.

Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer

Proceedings of the Machine Learning, 2008

2007

Support Vector Machines for Collective Inference.

Ulf Brefeld, Thoralf Klein, Tobias Scheffer

Proceedings of the Mining and Learning with Graphs, 2007

Scalable look-ahead linear regression trees.

David S. Vogel, Ognian Asparouhov, Tobias Scheffer

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Transductive support vector machines for structured variables.

Alexander Zien, Ulf Brefeld, Tobias Scheffer

Proceedings of the Machine Learning, 2007

Supervised clustering of streaming data for email batch detection.

Peter Haider, Ulf Brefeld, Tobias Scheffer

Proceedings of the Machine Learning, 2007

Unsupervised prediction of citation influences.

Laura Dietz, Steffen Bickel, Tobias Scheffer

Proceedings of the Machine Learning, 2007

Discriminative learning for differing training and test distributions.

Steffen Bickel, Michael Brückner, Tobias Scheffer

Proceedings of the Machine Learning, 2007

2006

Highly Scalable Discriminative Spam Filtering.

Michael Brückner, Peter Haider, Tobias Scheffer

Proceedings of the Fifteenth Text REtrieval Conference, 2006

Dirichlet-Enhanced Spam Filtering based on Biased Samples.

Steffen Bickel, Tobias Scheffer

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Semi-supervised learning for structured output variables.

Ulf Brefeld, Tobias Scheffer

Proceedings of the Machine Learning, 2006

Efficient co-regularised least squares regression.

Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel

Proceedings of the Machine Learning, 2006

2005

Classifying search engine queries using the web as background knowledge.

David S. Vogel, Steffen Bickel, Peter Haider, Rolf Schimpfky, Peter Siemen, Steve Bridges, Tobias Scheffer

SIGKDD Explor., 2005

Finding association rules that trade support optimally against confidence.

Tobias Scheffer

Intell. Data Anal., 2005

Systematic feature evaluation for gene name recognition.

Jörg Hakenberg, Steffen Bickel, Conrad Plake, Ulf Brefeld, Hagen Zahn, Lukas Faulstich, Ulf Leser, Tobias Scheffer

BMC Bioinform., 2005

Predicting Sentences using N-Gram Language Models.

Steffen Bickel, Peter Haider, Tobias Scheffer

Proceedings of the HLT/EMNLP 2005, 2005

Multi-View Hidden Markov Perceptrons.

Ulf Brefeld, Christoph Büscher, Tobias Scheffer

Proceedings of the Lernen, 2005

Fast discovery of unexpected patterns in data, relative to a Bayesian network.

Szymon Jaroszewicz, Tobias Scheffer

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Discovering Communities in Linked Data by Multi-view Clustering.

Isabel Drost, Steffen Bickel, Tobias Scheffer

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam.

Isabel Drost, Tobias Scheffer

Proceedings of the Machine Learning: ECML 2005, 2005

Multi-view Discriminative Sequential Learning.

Ulf Brefeld, Christoph Büscher, Tobias Scheffer

Proceedings of the Machine Learning: ECML 2005, 2005

Estimation of Mixture Models Using Co-EM.

Steffen Bickel, Tobias Scheffer

Proceedings of the Machine Learning: ECML 2005, 2005

Learning to Complete Sentences.

Steffen Bickel, Peter Haider, Tobias Scheffer

Proceedings of the Machine Learning: ECML 2005, 2005

Multi-View Learning and Link Farm Discovery.

Tobias Scheffer

Proceedings of the Probabilistic, Logical and Relational Learning - Towards a Synthesis, 30. January, 2005

2004

Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics.

Mark-A. Krogel, Tobias Scheffer

Mach. Learn., 2004

Email answering assistance by semi-supervised text classification.

Tobias Scheffer

Intell. Data Anal., 2004

Sentence completion.

Korinna Grabski, Tobias Scheffer

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Workshop der GI-Fachgruppe "Maschinelles Lernen" (FGML).

Tobias Scheffer

Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Efficiency and Stability of Clustering Algorithms for Linked Data.

Isabel Drost, Tobias Scheffer

Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Multi-View Lernen.

Ulf Brefeld, Steffen Bickel, Tobias Scheffer

Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004

Co-EM support vector learning.

Ulf Brefeld, Tobias Scheffer

Proceedings of the Machine Learning, 2004

Multi-View Clustering.

Steffen Bickel, Tobias Scheffer

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Learning from Message Pairs for Automatic Email Answering.

Steffen Bickel, Tobias Scheffer

Proceedings of the Machine Learning: ECML 2004, 2004

2003

Using Transduction and Multi-view Learning to Answer Emails.

Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Effectiveness of information extraction, multi-relational, and multi-view learning for prediction gene deletion experiments.

Mark-A. Krogel, Tobias Scheffer

Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), 2003

Learning to Answer Emails.

Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of Genes.

Mark-A. Krogel, Tobias Scheffer

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study.

Mark-A. Krogel, Marcus Denecke, Marco Landwehr, Tobias Scheffer

SIGKDD Explor., 2002

Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text.

Tobias Scheffer, Stefan Wrobel, Borislav Popov, Damyan Ognianov, Christian Decomain, Susanne Hoche

Künstliche Intell., 2002

Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling.

Tobias Scheffer, Stefan Wrobel

J. Mach. Learn. Res., 2002

A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases.

Tobias Scheffer, Stefan Wrobel

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

2001

Active Hidden Markov Models for Information Extraction.

Tobias Scheffer, Christian Decomain, Stefan Wrobel

Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems.

Tobias Scheffer, Stefan Wrobel

Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Mining the Web with Active Hidden Markov Models.

Tobias Scheffer, Christian Decomain, Stefan Wrobel

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Clipping and Analyzing News Using Machine Learning Techniques.

Hans Gründel, Tino Naphtali, Christian Wiech, Jan-Marian Gluba, Maiken Rohdenburg, Tobias Scheffer

Proceedings of the Discovery Science, 4th International Conference, DS 2001, Washington, 2001

2000

A sequential sampling algorithm for a general class of utility criteria.

Tobias Scheffer, Stefan Wrobel

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000

Predicting the Generalization Performance of Cross Validatory Model Selection Criteria.

Tobias Scheffer

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Nonparametric Regularization of Decision Trees.

Tobias Scheffer

Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees.

Tobias Scheffer

Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000

1999

Error Estimation and Model Selection.

Tobias Scheffer

Künstliche Intell., 1999

International Conference on Machine Learning (ICML-99).

Tobias Scheffer

Künstliche Intell., 1999

Expected Error Analysis for Model Selection.

Tobias Scheffer, Thorsten Joachims

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

The VC-Dimension of Subclasses of Pattern.

Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan

Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999

Error estimation and model selection.

Tobias Scheffer

PhD thesis, 1999

1998

Estimating the Expected Error of Empirical Minimizers for Model Selection.

Tobias Scheffer, Thorsten Joachims

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Unbiased Assesment of Learning Algorithms.

Tobias Scheffer, Ralf Herbrich

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Why Experimentation can be better than "Perfect Guidance".

Tobias Scheffer, Russell Greiner, Christian Darken

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

1996

Aerial Robotics in Computer Science Education.

Marion Finke, Günter Hommel, Tobias Scheffer, Fritz Wysotzki

Comput. Sci. Educ., 1996

Efficient Theta-Subsumption Based on Graph Algorithms.

Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki

Proceedings of the Inductive Logic Programming, 6th International Workshop, 1996

1995

A Generic Algorithm for Learning Rules with Hierarchical Exceptions.

Tobias Scheffer

Proceedings of the Advances in Artificial Intelligence, 1995