Tobias Scheffer

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 36

Top Venues

Technical University of Berlin, Germany (PHD)

Education History

Technical University of Berlin, Germany

PHD

Publications

Paul Prasse, David R. Reich, Silvia Makowski, Tobias Scheffer, Lena A. Jäger
Improving cognitive-state analysis from eye gaze with synthetic eye-movement data. Comput. Graph. 119 (2024)
Paul Prasse, David Robert Reich, Silvia Makowski, Seoyoung Ahn, Tobias Scheffer, Lena A. Jäger
SP-EyeGAN: Generating Synthetic Eye Movement Data with Generative Adversarial Networks. ETRA (2023)
Shuwen Deng, David Robert Reich, Paul Prasse, Patrick Haller, Tobias Scheffer, Lena A. Jäger
Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading. CoRR (2023)
Daniel G. Krakowczyk, Paul Prasse, David Robert Reich, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jäger
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models. CoRR (2023)
Silvia Makowski, Annika Bätz, Paul Prasse, Lena A. Jäger, Tobias Scheffer
Detection of Alcohol Inebriation from Eye Movements. KES (2023)
Shuwen Deng, David Robert Reich, Paul Prasse, Patrick Haller, Tobias Scheffer, Lena A. Jäger
Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading. Proc. ACM Hum. Comput. Interact. 7 (ETRA) (2023)
Silvia Makowski, Paul Prasse, Lena Ann Jäger, Tobias Scheffer
Detection of Drowsiness and Impending Microsleep from Eye Movements. Gaze Meets ML (2023)
Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. EMNLP (2023)
Shuwen Deng, Paul Prasse, David R. Reich, Tobias Scheffer, Lena A. Jäger
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding. CoRR (2023)
Daniel G. Krakowczyk, Paul Prasse, David Robert Reich, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jäger
Bridging the Gap: Gaze Events as Interpretable Concepts to Explain Deep Neural Sequence Models. ETRA (2023)
Paul Prasse, David Robert Reich, Silvia Makowski, Lena A. Jäger, Tobias Scheffer
Fairness in Oculomotoric Biometric Identification. ETRA (2022)
Shuwen Deng, Paul Prasse, David Robert Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger
Detection of ADHD based on Eye Movements during Natural Viewing. CoRR (2022)
Daniel Krakowczyk, David R. Reich, Paul Prasse, Sebastian Lapuschkin, Tobias Scheffer, Lena A. Jäger
Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification. Gaze Meets ML (2022)
Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek
Author Correction: Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digit. Medicine 5 (2022)
Shuwen Deng, Paul Prasse, David Robert Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger
Detection of ADHD Based on Eye Movements During Natural Viewing. ECML/PKDD (6) (2022)
Silvia Makowski, Paul Prasse, Lena A. Jäger, Tobias Scheffer
Oculomotoric Biometric Identification under the Influence of Alcohol and Fatigue. IJCB (2022)
Paul Prasse, Jan Brabec, Jan Kohout, Martin Kopp, Lukás Bajer, Tobias Scheffer
Learning Explainable Representations of Malware Behavior. ECML/PKDD (4) (2021)
Silvia Makowski, Paul Prasse, David R. Reich, Daniel Krakowczyk, Lena A. Jäger, Tobias Scheffer
DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection Using Deep Neural Networks. IEEE Trans. Biom. Behav. Identity Sci. 3 (4) (2021)
Paul Prasse, Jan Brabec, Jan Kohout, Martin Kopp, Lukás Bajer, Tobias Scheffer
Learning Explainable Representations of Malware Behavior. CoRR (2021)
Silvia Makowski, Lena A. Jäger, Paul Prasse, Tobias Scheffer
Biometric Identification and Presentation-Attack Detection using Micro- and Macro-Movements of the Eyes. IJCB (2020)
Silvia Makowski, Lena A. Jäger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, Tobias Scheffer
Discriminative Viewer Identification using Generative Models of Eye Gaze. CoRR (2020)
Hanna Drimalla, Tobias Scheffer, Niels Landwehr, Irina Baskow, Stefan Roepke, Behnoush Behnia, Isabel Dziobek
Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT). npj Digit. Medicine 3 (2020)
Paul Prasse, Lena A. Jäger, Silvia Makowski, Moritz Feuerpfeil, Tobias Scheffer
On the Relationship between Eye Tracking Resolution and Performance of Oculomotoric Biometric Identification. KES (2020)
Silvia Makowski, Lena A. Jäger, Lisa Schwetlick, Hans Trukenbrod, Ralf Engbert, Tobias Scheffer
Discriminative Viewer Identification using Generative Models of Eye Gaze. KES (2020)
Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer
Deep Eyedentification: Biometric Identification Using Micro-movements of the Eye. ECML/PKDD (2) (2019)
Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer
Joint detection of malicious domains and infected clients. Mach. Learn. 108 (8-9) (2019)
Lena A. Jäger, Silvia Makowski, Paul Prasse, Sascha Liehr, Maximilian Seidler, Tobias Scheffer
Deep Eyedentification: Biometric Identification using Micro-Movements of the Eye. CoRR (2019)
Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer
Joint Detection of Malicious Domains and Infected Clients. CoRR (2019)
Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer
A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. ECML/PKDD (1) (2018)
Silvia Makowski, Lena A. Jäger, Ahmed AbdelWahab, Niels Landwehr, Tobias Scheffer
A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements. CoRR (2018)
Hanna Drimalla, Niels Landwehr, Irina Baskow, Behnoush Behnia, Stefan Roepke, Isabel Dziobek, Tobias Scheffer
Detecting Autism by Analyzing a Simulated Social Interaction. ECML/PKDD (1) (2018)
Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer
Malware Detection by Analysing Network Traffic with Neural Networks. IEEE Symposium on Security and Privacy Workshops (2017)
Paul Prasse, Lukás Machlica, Tomás Pevný, Jirí Havelka, Tobias Scheffer
Malware Detection by Analysing Encrypted Network Traffic with Neural Networks. ECML/PKDD (2) (2017)
Matthias Bussas, Christoph Sawade, Nicolas Kühn, Tobias Scheffer, Niels Landwehr
Varying-coefficient models for geospatial transfer learning. Mach. Learn. 106 (9-10) (2017)
Uwe Dick, Tobias Scheffer
Learning to control a structured-prediction decoder for detection of HTTP-layer DDoS attackers. Mach. Learn. 104 (2-3) (2016)
Oleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft
Huber-Norm Regularization for Linear Prediction Models. ECML/PKDD (1) (2016)
Michael Großhans, Tobias Scheffer
Solving Prediction Games with Parallel Batch Gradient Descent. ECML/PKDD (1) (2015)
Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
Learning to identify concise regular expressions that describe email campaigns. J. Mach. Learn. Res. 16 (2015)
Matthias Bussas, Christoph Sawade, Tobias Scheffer, Niels Landwehr
Varying-coefficient models with isotropic Gaussian process priors. CoRR (2015)
Niels Landwehr, Sebastian Arzt, Tobias Scheffer, Reinhold Kliegl
A Model of Individual Differences in Gaze Control During Reading. EMNLP (2014)
Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr
Joint Prediction of Topics in a URL Hierarchy. ECML/PKDD (1) (2014)
Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
Active evaluation of ranking functions based on graded relevance. Mach. Learn. 92 (1) (2013)
Michael Großhans, Christoph Sawade, Michael Brückner, Tobias Scheffer
Bayesian Games for Adversarial Regression Problems. ICML (3) (2013)
Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
Active Evaluation of Ranking Functions Based on Graded Relevance (Extended Abstract). IJCAI (2013)
Alexander Hewer, Joachim Weickert, Henning Seibert, Tobias Scheffer, Stefan Diebels
Lagrangian Strain Tensor Computation with Higher Order Variational Models. BMVC (2013)
Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
Learning to Identify Regular Expressions that Describe Email Campaigns CoRR (2012)
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Active Comparison of Prediction Models. NIPS (2012)
Michael Brückner, Christian Kanzow, Tobias Scheffer
Static prediction games for adversarial learning problems. J. Mach. Learn. Res. 13 (2012)
Peter Haider, Tobias Scheffer
Finding Botnets Using Minimal Graph Clusterings. ICML (2012)
Peter Haider, Tobias Scheffer
Finding Botnets Using Minimal Graph Clusterings CoRR (2012)
Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr
Active Evaluation of Ranking Functions Based on Graded Relevance. ECML/PKDD (2) (2012)
Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer
Learning to Identify Regular Expressions that Describe Email Campaigns. ICML (2012)
Michael Brückner, Tobias Scheffer
Stackelberg games for adversarial prediction problems. KDD (2011)
Uwe Dick, Peter Haider, Thomas Vanck, Michael Brückner, Tobias Scheffer
Throttling Poisson Processes. NIPS (2010)
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Active Estimation of F-Measures. NIPS (2010)
Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer
Active Risk Estimation. ICML (2010)
Steffen Bickel, Michael Brückner, Tobias Scheffer
Discriminative Learning Under Covariate Shift. J. Mach. Learn. Res. 10 (2009)
Michael Brückner, Tobias Scheffer
Nash Equilibria of Static Prediction Games. NIPS (2009)
Peter Haider, Tobias Scheffer
Bayesian clustering for email campaign detection. ICML (2009)
Laura Dietz, Valentin Dallmeier, Andreas Zeller, Tobias Scheffer
Localizing Bugs in Program Executions with Graphical Models. NIPS (2009)
Szymon Jaroszewicz, Tobias Scheffer, Dan A. Simovici
Scalable pattern mining with Bayesian networks as background knowledge. Data Min. Knowl. Discov. 18 (1) (2009)
Uwe Dick, Peter Haider, Tobias Scheffer
Learning from incomplete data with infinite imputations. ICML (2008)
Szymon Jaroszewicz, Lenka Ivantysynova, Tobias Scheffer
Schema matching on streams with accuracy guarantees. Intell. Data Anal. 12 (3) (2008)
Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer
Multi-task learning for HIV therapy screening. ICML (2008)
Thoralf Klein, Ulf Brefeld, Tobias Scheffer
Exact and Approximate Inference for Annotating Graphs with Structural SVMs. ECML/PKDD (1) (2008)
Steffen Bickel, Christoph Sawade, Tobias Scheffer
Transfer Learning by Distribution Matching for Targeted Advertising. NIPS (2008)
Ulf Brefeld, Thoralf Klein, Tobias Scheffer
Support Vector Machines for Collective Inference. MLG (2007)
David S. Vogel, Ognian Asparouhov, Tobias Scheffer
Scalable look-ahead linear regression trees. KDD (2007)
Laura Dietz, Steffen Bickel, Tobias Scheffer
Unsupervised prediction of citation influences. ICML (2007)
Steffen Bickel, Michael Brückner, Tobias Scheffer
Discriminative learning for differing training and test distributions. ICML (2007)
Peter Haider, Ulf Brefeld, Tobias Scheffer
Supervised clustering of streaming data for email batch detection. ICML (2007)
Alexander Zien, Ulf Brefeld, Tobias Scheffer
Transductive support vector machines for structured variables. ICML (2007)
Steffen Bickel, Tobias Scheffer
Dirichlet-Enhanced Spam Filtering based on Biased Samples. NIPS (2006)
Michael Brückner, Peter Haider, Tobias Scheffer
Highly Scalable Discriminative Spam Filtering. TREC (2006)
Ulf Brefeld, Tobias Scheffer
Semi-supervised learning for structured output variables. ICML (2006)
Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel
Efficient co-regularised least squares regression. ICML (2006)
Szymon Jaroszewicz, Tobias Scheffer
Fast discovery of unexpected patterns in data, relative to a Bayesian network. KDD (2005)
Tobias Scheffer
Multi-View Learning and Link Farm Discovery. Probabilistic, Logical and Relational Learning (2005)
Steffen Bickel, Peter Haider, Tobias Scheffer
Predicting Sentences using N-Gram Language Models. HLT/EMNLP (2005)
Ulf Brefeld, Christoph Büscher, Tobias Scheffer
Multi-View Hidden Markov Perceptrons. LWA (2005)
Ulf Brefeld, Christoph Büscher, Tobias Scheffer
Multi-view Discriminative Sequential Learning. ECML (2005)
Isabel Drost, Steffen Bickel, Tobias Scheffer
Discovering Communities in Linked Data by Multi-view Clustering. GfKl (2005)
Tobias Scheffer
Finding association rules that trade support optimally against confidence. Intell. Data Anal. 9 (4) (2005)
Jörg Hakenberg, Steffen Bickel, Conrad Plake, Ulf Brefeld, Hagen Zahn, Lukas Faulstich, Ulf Leser, Tobias Scheffer
Systematic feature evaluation for gene name recognition. BMC Bioinform. 6 (S-1) (2005)
Steffen Bickel, Peter Haider, Tobias Scheffer
Learning to Complete Sentences. ECML (2005)
Steffen Bickel, Tobias Scheffer
Estimation of Mixture Models Using Co-EM. ECML (2005)
David S. Vogel, Steffen Bickel, Peter Haider, Rolf Schimpfky, Peter Siemen, Steve Bridges, Tobias Scheffer
Classifying search engine queries using the web as background knowledge. SIGKDD Explor. 7 (2) (2005)
Isabel Drost, Tobias Scheffer
Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam. ECML (2005)
Isabel Drost, Tobias Scheffer
Efficiency and Stability of Clustering Algorithms for Linked Data. LWA (2004)
Tobias Scheffer
Email answering assistance by semi-supervised text classification. Intell. Data Anal. 8 (5) (2004)
Korinna Grabski, Tobias Scheffer
Sentence completion. SIGIR (2004)
Ulf Brefeld, Tobias Scheffer
Co-EM support vector learning. ICML (2004)
Mark-A. Krogel, Tobias Scheffer
Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics. Mach. Learn. 57 (1-2) (2004)
Steffen Bickel, Tobias Scheffer
Learning from Message Pairs for Automatic Email Answering. ECML (2004)
Steffen Bickel, Tobias Scheffer
Multi-View Clustering. ICDM (2004)
Tobias Scheffer
Workshop der GI-Fachgruppe "Maschinelles Lernen" (FGML). LWA (2004)
Ulf Brefeld, Steffen Bickel, Tobias Scheffer
Multi-View Lernen. LWA (2004)
Mark-A. Krogel, Tobias Scheffer
Effectiveness of information extraction, multi-relational, and multi-view learning for prediction gene deletion experiments. BIOKDD (2003)
Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer
Learning to Answer Emails. IDA (2003)
Mark-A. Krogel, Tobias Scheffer
Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of Genes. ICDM (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tobias Scheffer