Ulf Brefeld

According to our database, Ulf Brefeld authored at least 76 papers between 2003 and 2023.

Collaborative distances:

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

2023

Data practices in apps from Brazil: What do privacy policies inform us about?

Valéria Quadros dos Reis, Maria E. R. Rabello, Anderson C. Lima, Guilherme P. S. Jardim, Eraldo R. Fernandes, Ulf Brefeld

J. Interact. Syst., February, 2023

User Authentication via Multifaceted Mouse Movements and Outlier Exposure.

Jennifer Jorina Matthiesen, Hanne Hastedt, Ulf Brefeld

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Hands in Focus: Sign Language Recognition Via Top-Down Attention.

Noha A. Sarhan, Christian Wilms, Vanessa Closius, Ulf Brefeld, Simone Frintrop

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Who can receive the pass? A computational model for quantifying availability in soccer.

Uwe Dick, Daniel Link, Ulf Brefeld

Data Min. Knowl. Discov., 2022

Semi-Supervised Generative Models for Multiagent Trajectories.

Dennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modeling Conditional Dependencies in Multiagent Trajectories.

Yannick Rudolph, Ulf Brefeld

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Joint optimization of an autoencoder for clustering and embedding.

Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen

Mach. Learn., 2021

Machine Learning in Sports (Dagstuhl Seminar 21411).

Ulf Brefeld, Jesse Davis, Martin Lames, James J. Little

Dagstuhl Reports, 2021

Principled Interpolation in Normalizing Flows.

Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?

Yannick Rudolph, Ulf Brefeld, Uwe Dick

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

Assessing User Behavior by Mouse Movements.

Jennifer Jorina Matthiesen, Ulf Brefeld

Proceedings of the HCI International 2020 - Posters - 22nd International Conference, 2020

2019

Probabilistic movement models and zones of control.

Ulf Brefeld, Jan Lasek, Sebastian Mair

Mach. Learn., 2019

Learning to Rate Player Positioning in Soccer.

Uwe Dick, Ulf Brefeld

Big Data, 2019

Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring.

Irina Pandarova, Torben Schmidt, Johannes Hartig, Ahcène Boubekki, Roger Dale Jones, Ulf Brefeld

Int. J. Artif. Intell. Educ., 2019

Coresets for Archetypal Analysis.

Sebastian Mair, Ulf Brefeld

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Personalized Transaction Kernels for Recommendation Using MCTS.

Maryam Tavakol, Tobias Joppen, Ulf Brefeld, Johannes Fürnkranz

Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019

2018

Distributed robust Gaussian Process regression.

Sebastian Mair, Ulf Brefeld

Knowl. Inf. Syst., 2018

Frame-Based Optimal Design.

Sebastian Mair, Yannick Rudolph, Vanessa Closius, Ulf Brefeld

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

MDP-based Itinerary Recommendation using Geo-Tagged Social Media.

Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Mining User Trajectories in Electronic Text Books.

Ahcène Boubekki, Shailee Jain, Ulf Brefeld

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

Guest editorial: Special issue on sports analytics.

Ulf Brefeld, Albrecht Zimmermann

Data Min. Knowl. Discov., 2017

A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations.

Maryam Tavakol, Ulf Brefeld

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

Infinite Mixtures of Markov Chains.

Jan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Propagating Maximum Capacities for Recommendation.

Ahcène Boubekki, Ulf Brefeld, Cláudio Leonardo Lucchesi, Wolfgang Stille

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Frame-based Data Factorizations.

Sebastian Mair, Ahcène Boubekki, Ulf Brefeld

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Predicting the future performance of soccer players.

Cornelius Arndt, Ulf Brefeld

Stat. Anal. Data Min., 2016

Spatio-temporal convolution kernels.

Konstantin Knauf, Daniel Memmert, Ulf Brefeld

Mach. Learn., 2016

Feature Extraction and Aggregation for Predicting the EURO 2016.

Maryam Tavakol, Hamid Zafartavanaelmi, Ulf Brefeld

Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016

Data-Driven Analyses of Electronic Text Books.

Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld

Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015

Multi-view learning with dependent views.

Ulf Brefeld

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer.

Markus Brandt, Ulf Brefeld

Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

Toward Data-Driven Analyses of Electronic Text Books.

Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Generalising IRT to Discriminate Between Examinees.

Ahcène Boubekki, Ulf Brefeld, Thomas Delacroix

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

Factored MDPs for detecting topics of user sessions.

Maryam Tavakol, Ulf Brefeld

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Mining Positional Data Streams.

Jens Haase, Ulf Brefeld

Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Using Wikipedia for Cross-Language Named Entity Recognition.

Eraldo R. Fernandes, Ulf Brefeld, Roi Blanco, Jordi Atserias

Proceedings of the Big Data Analytics in the Social and Ubiquitous Context, 2014

Interdisciplinary Machine Learning.

Ulf Brefeld

Proceedings of the 16th LWA Workshops: KDML, 2014

Computer-based Adaptive Speed Tests.

Daniel Bengs, Ulf Brefeld

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Learning to Summarise Related Sentences.

Emmanouil Tzouridis, Jamal Abdul Nasir, Ulf Brefeld

Proceedings of the COLING 2014, 2014

An Off-the-shelf Approach to Authorship Attribution.

Jamal Abdul Nasir, Nico Görnitz, Ulf Brefeld

Proceedings of the COLING 2014, 2014

2013

Toward Supervised Anomaly Detection.

Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld

J. Artif. Intell. Res., 2013

Finding Similar Movements in Positional Data Streams.

Jens Haase, Ulf Brefeld

Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), 2013

Learning Shortest Paths for Word Graphs.

Emmanouil Tzouridis, Ulf Brefeld

Proceedings of the LWA 2013. Lernen, 2013

Adaptive Speeded Tests.

Daniel Bengs, Ulf Brefeld

Proceedings of the LWA 2013. Lernen, 2013

2012

Discriminative clustering for market segmentation.

Peter Haider, Luca Chiarandini, Ulf Brefeld

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

<i>l_p</i>-Norm Multiple Kernel Learning.

Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien

J. Mach. Learn. Res., 2011

StructRank: A New Approach for Ligand-Based Virtual Screening.

Fabian Rathke, Katja Hansen, Ulf Brefeld, Klaus-Robert Müller

J. Chem. Inf. Model., 2011

Insights from Classifying Visual Concepts with Multiple Kernel Learning

Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe

CoRR, 2011

Document assignment in multi-site search engines.

Ulf Brefeld, Berkant Barla Cambazoglu, Flavio Paiva Junqueira

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Learning from Partially Annotated Sequences.

Eraldo R. Fernandes, Ulf Brefeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Learning to rank user intent.

Giorgos Giannopoulos, Ulf Brefeld, Theodore Dalamagas, Timos K. Sellis

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Hybrid models for future event prediction.

Giuseppe Amodeo, Roi Blanco, Ulf Brefeld

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Eighth workshop on mining and learning with graphs.

Ulf Brefeld, Lise Getoor, Sofus A. Macskassy

SIGKDD Explor., 2010

Approximate Tree Kernels.

Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller

J. Mach. Learn. Res., 2010

Non-Sparse Regularization and Efficient Training with Multiple Kernels

Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien

CoRR, 2010

2009

Feature Selection for Density Level-Sets.

Marius Kloft, Shinichi Nakajima, Ulf Brefeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Active and Semi-supervised Data Domain Description.

Nico Görnitz, Marius Kloft, Ulf Brefeld

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Efficient and Accurate Lp-Norm Multiple Kernel Learning.

Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien

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

Active learning for network intrusion detection.

Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld

Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence, 2009

Efficient Classification of Images with Taxonomies.

Alexander Binder, Motoaki Kawanabe, Ulf Brefeld

Proceedings of the Computer Vision, 2009

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

Automatic feature selection for anomaly detection.

Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov

Proceedings of the 1st ACM Workshop on Security and Artificial Intelligence, 2008

2007

Semi-supervised structured prediction models.

Ulf Brefeld

PhD thesis, 2007

Support Vector Machines for Collective Inference.

Ulf Brefeld, Thoralf Klein, Tobias Scheffer

Proceedings of the Mining and Learning with Graphs, 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

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

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

Multi-View Hidden Markov Perceptrons.

Ulf Brefeld, Christoph Büscher, Tobias Scheffer

Proceedings of the Lernen, 2005

Multi-view Discriminative Sequential Learning.

Ulf Brefeld, Christoph Büscher, Tobias Scheffer

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Perceptron and SVM learning with generalized cost models.

Peter Geibel, Ulf Brefeld, Fritz Wysotzki

Intell. Data Anal., 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

2003

Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs.

Peter Geibel, Ulf Brefeld, Fritz Wysotzki

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Support Vector Machines with Example Dependent Costs.

Ulf Brefeld, Peter Geibel, Fritz Wysotzki

Proceedings of the Machine Learning: ECML 2003, 2003