Tobias Scheffer

Maja Stegenwallner-Schütz

npj Digit. Medicine, 2022

Detection of ADHD Based on Eye Movements During Natural Viewing.

[BibT_eX]

[DOI]

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

Oculomotoric Biometric Identification under the Influence of Alcohol and Fatigue.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

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

[BibT_eX]

[DOI]

Proceedings of The 1st Gaze Meets ML workshop, 2022

Fairness in Oculomotoric Biometric Identification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Learning Explainable Representations of Malware Behavior.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

npj Digit. Medicine, 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2019

Joint detection of malicious domains and infected clients.

[BibT_eX]

[DOI]

Mach. Learn., 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Detecting Autism by Analyzing a Simulated Social Interaction.

[BibT_eX]

[DOI]

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

2017

Varying-coefficient models for geospatial transfer learning.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Malware Detection by Analysing Network Traffic with Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Security and Privacy Workshops, 2017

Malware Detection by Analysing Encrypted Network Traffic with Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Uwe Dick

Mach. Learn., 2016

Huber-Norm Regularization for Linear Prediction Models.

[BibT_eX]

[DOI]

Oleksandr Zadorozhnyi

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

2015

Learning to identify concise regular expressions that describe email campaigns.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

Varying-coefficient models with isotropic Gaussian process priors.

[BibT_eX]

[DOI]

CoRR, 2015

Solving Prediction Games with Parallel Batch Gradient Descent.

[BibT_eX]

[DOI]

Michael Großhans

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

2014

Joint Prediction of Topics in a URL Hierarchy.

[BibT_eX]

[DOI]

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

A Model of Individual Differences in Gaze Control During Reading.

[BibT_eX]

[DOI]

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

2013

Active evaluation of ranking functions based on graded relevance.

[BibT_eX]

[DOI]

Mach. Learn., 2013

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

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Bayesian Games for Adversarial Regression Problems.

[BibT_eX]

[DOI]

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

Lagrangian Strain Tensor Computation with Higher Order Variational Models.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2013

2012

Static prediction games for adversarial learning problems.

[BibT_eX]

[DOI]

Christian Kanzow

J. Mach. Learn. Res., 2012

Active Comparison of Prediction Models.

[BibT_eX]

[DOI]

Christoph Sawade

Niels Landwehr

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.

[BibT_eX]

[DOI]

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

Finding Botnets Using Minimal Graph Clusterings.

[BibT_eX]

[DOI]

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

2011

Stackelberg games for adversarial prediction problems.

[BibT_eX]

[DOI]

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

2010

Active Estimation of F-Measures.

[BibT_eX]

[DOI]

Christoph Sawade

Niels Landwehr

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2009

Semi-Supervised Learning.

[BibT_eX]

[DOI]

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

Discriminative Learning Under Covariate Shift.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2009

Scalable pattern mining with Bayesian networks as background knowledge.

[BibT_eX]

[DOI]

Szymon Jaroszewicz

Dan A. Simovici

Data Min. Knowl. Discov., 2009

Localizing Bugs in Program Executions with Graphical Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2008

Schema matching on streams with accuracy guarantees.

[BibT_eX]

[DOI]

Szymon Jaroszewicz

Lenka Ivantysynova

Intell. Data Anal., 2008

Exact and Approximate Inference for Annotating Graphs with Structural SVMs.

[BibT_eX]

[DOI]

Thoralf Klein

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

Transfer Learning by Distribution Matching for Targeted Advertising.

[BibT_eX]

[DOI]

Christoph Sawade

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

Learning from incomplete data with infinite imputations.

[BibT_eX]

[DOI]

Uwe Dick

Proceedings of the Machine Learning, 2008

Multi-task learning for HIV therapy screening.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

2007

Support Vector Machines for Collective Inference.

[BibT_eX]

[DOI]

Thoralf Klein

Proceedings of the Mining and Learning with Graphs, 2007

Scalable look-ahead linear regression trees.

[BibT_eX]

[DOI]

David S. Vogel

Ognian Asparouhov

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

Transductive support vector machines for structured variables.

[BibT_eX]

[DOI]

Alexander Zien

Proceedings of the Machine Learning, 2007

Supervised clustering of streaming data for email batch detection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Unsupervised prediction of citation influences.

[BibT_eX]

[DOI]

Laura Dietz

Proceedings of the Machine Learning, 2007

Discriminative learning for differing training and test distributions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

2006

Highly Scalable Discriminative Spam Filtering.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth Text REtrieval Conference, 2006

Dirichlet-Enhanced Spam Filtering based on Biased Samples.

[BibT_eX]

[DOI]

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

Semi-supervised learning for structured output variables.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Efficient co-regularised least squares regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

2005

Classifying search engine queries using the web as background knowledge.

[BibT_eX]

[DOI]

SIGKDD Explor., 2005

Finding association rules that trade support optimally against confidence.

[BibT_eX]

[DOI]

Intell. Data Anal., 2005

Systematic feature evaluation for gene name recognition.

[BibT_eX]

[DOI]

BMC Bioinform., 2005

Predicting Sentences using N-Gram Language Models.

[BibT_eX]

[DOI]

Proceedings of the HLT/EMNLP 2005, 2005

Multi-View Hidden Markov Perceptrons.

[BibT_eX]

Christoph Büscher

Proceedings of the Lernen, 2005

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

[BibT_eX]

[DOI]

Szymon Jaroszewicz

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

Discovering Communities in Linked Data by Multi-view Clustering.

[BibT_eX]

[DOI]

Isabel Drost

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

Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam.

[BibT_eX]

[DOI]

Isabel Drost

Proceedings of the Machine Learning: ECML 2005, 2005

Multi-view Discriminative Sequential Learning.

[BibT_eX]

[DOI]

Christoph Büscher

Proceedings of the Machine Learning: ECML 2005, 2005

Estimation of Mixture Models Using Co-EM.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2005, 2005

Learning to Complete Sentences.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2005, 2005

Multi-View Learning and Link Farm Discovery.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mark-A. Krogel

Mach. Learn., 2004

Email answering assistance by semi-supervised text classification.

[BibT_eX]

[DOI]

Intell. Data Anal., 2004

Sentence completion.

[BibT_eX]

[DOI]

Korinna Grabski

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).

[BibT_eX]

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

Efficiency and Stability of Clustering Algorithms for Linked Data.

[BibT_eX]

Isabel Drost

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

Multi-View Lernen.

[BibT_eX]

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

Co-EM support vector learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Multi-View Clustering.

[BibT_eX]

[DOI]

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

Learning from Message Pairs for Automatic Email Answering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2004, 2004

2003

Using Transduction and Multi-view Learning to Answer Emails.

[BibT_eX]

[DOI]

Michael Kockelkorn

Andreas Lüneburg

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.

[BibT_eX]

[DOI]

Mark-A. Krogel

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

Learning to Answer Emails.

[BibT_eX]

[DOI]

Michael Kockelkorn

Andreas Lüneburg

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.

[BibT_eX]

[DOI]

Mark-A. Krogel

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.

[BibT_eX]

[DOI]

SIGKDD Explor., 2002

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

[BibT_eX]

Künstliche Intell., 2002

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

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2002

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

[BibT_eX]

[DOI]

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

2001

Active Hidden Markov Models for Information Extraction.

[BibT_eX]

[DOI]

Christian Decomain

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.

[BibT_eX]

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.

[BibT_eX]

[DOI]

Christian Decomain

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

Clipping and Analyzing News Using Machine Learning Techniques.

[BibT_eX]

[DOI]

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

2000

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

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

Nonparametric Regularization of Decision Trees.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

1999

Error Estimation and Model Selection.

[BibT_eX]

Künstliche Intell., 1999

International Conference on Machine Learning (ICML-99).

[BibT_eX]

Künstliche Intell., 1999

Expected Error Analysis for Model Selection.

[BibT_eX]

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.

[BibT_eX]

[DOI]

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

Error estimation and model selection.

[BibT_eX]

[DOI]

PhD thesis, 1999

1998

Estimating the Expected Error of Empirical Minimizers for Model Selection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ralf Herbrich

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

Why Experimentation can be better than "Perfect Guidance".

[BibT_eX]