Ulf Brefeld

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 32

Top Venues

Humboldt University of Berlin, Unter den Linden, Germany (PHD)

Education History

Humboldt University of Berlin, Unter den Linden, Germany

PHD

Publications

Ulf Brefeld, Jesse Davis, Laura de Jong, Stephanie Kovalchik
Computational Approaches to Strategy and Tactics in Sports (Dagstuhl Seminar 24081). Dagstuhl Reports 14 (2) (2024)
Jennifer Jorina Matthiesen, Hanne Hastedt, Ulf Brefeld
User Authentication via Multifaceted Mouse Movements and Outlier Exposure. IDA (2023)
Noha A. Sarhan, Christian Wilms, Vanessa Closius, Ulf Brefeld, Simone Frintrop
Hands in Focus: Sign Language Recognition Via Top-Down Attention. ICIP (2023)
Valéria Quadros dos Reis, Maria E. R. Rabello, Anderson C. Lima, Guilherme P. S. Jardim, Eraldo R. Fernandes, Ulf Brefeld
Data practices in apps from Brazil: What do privacy policies inform us about? J. Interact. Syst. 14 (1) (2023)
Uwe Dick, Daniel Link, Ulf Brefeld
Who can receive the pass? A computational model for quantifying availability in soccer. Data Min. Knowl. Discov. 36 (3) (2022)
Dennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld
Semi-Supervised Generative Models for Multiagent Trajectories. NeurIPS (2022)
Yannick Rudolph, Ulf Brefeld
Modeling Conditional Dependencies in Multiagent Trajectories. AISTATS (2022)
Ulf Brefeld, Jesse Davis, Martin Lames, James J. Little
Machine Learning in Sports (Dagstuhl Seminar 21411). Dagstuhl Reports 11 (9) (2021)
Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld
Principled Interpolation in Normalizing Flows. ECML/PKDD (2) (2021)
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
Joint optimization of an autoencoder for clustering and embedding. Mach. Learn. 110 (7) (2021)
Yannick Rudolph, Ulf Brefeld, Uwe Dick
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories? ICBINB@NeurIPS (2020)
Jennifer Jorina Matthiesen, Ulf Brefeld
Assessing User Behavior by Mouse Movements. HCI (38) (2020)
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
Joint Optimization of an Autoencoder for Clustering and Embedding. CoRR (2020)
Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld
Principled Interpolation in Normalizing Flows. CoRR (2020)
Ulf Brefeld, Jan Lasek, Sebastian Mair
Probabilistic movement models and zones of control. Mach. Learn. 108 (1) (2019)
Sebastian Mair, Ulf Brefeld
Coresets for Archetypal Analysis. NeurIPS (2019)
Uwe Dick, Ulf Brefeld
Learning to Rate Player Positioning in Soccer. Big Data 7 (1) (2019)
Maryam Tavakol, Tobias Joppen, Ulf Brefeld, Johannes Fürnkranz
Personalized Transaction Kernels for Recommendation Using MCTS. KI (2019)
Irina Pandarova, Torben Schmidt, Johannes Hartig, Ahcène Boubekki, Roger Dale Jones, Ulf Brefeld
Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring. Int. J. Artif. Intell. Educ. 29 (3) (2019)
Ahcène Boubekki, Shailee Jain, Ulf Brefeld
Mining User Trajectories in Electronic Text Books. EDM (2018)
Sebastian Mair, Yannick Rudolph, Vanessa Closius, Ulf Brefeld
Frame-Based Optimal Design. ECML/PKDD (2) (2018)
Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld
MDP-based Itinerary Recommendation using Geo-Tagged Social Media. IDA (2018)
Sebastian Mair, Ulf Brefeld
Distributed robust Gaussian Process regression. Knowl. Inf. Syst. 55 (2) (2018)
Jan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld
Infinite Mixtures of Markov Chains. NFMCP@PKDD/ECML (2017)
Ahcène Boubekki, Ulf Brefeld, Cláudio Leonardo Lucchesi, Wolfgang Stille
Propagating Maximum Capacities for Recommendation. KI (2017)
Sebastian Mair, Ahcène Boubekki, Ulf Brefeld
Frame-based Data Factorizations. ICML (2017)
Maryam Tavakol, Ulf Brefeld
A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations. ECML/PKDD (2) (2017)
Ulf Brefeld, Albrecht Zimmermann
Guest editorial: Special issue on sports analytics. Data Min. Knowl. Discov. 31 (6) (2017)
Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld
Data-Driven Analyses of Electronic Text Books. Solving Large Scale Learning Tasks (2016)
Cornelius Arndt, Ulf Brefeld
Predicting the future performance of soccer players. Stat. Anal. Data Min. 9 (5) (2016)
Konstantin Knauf, Daniel Memmert, Ulf Brefeld
Spatio-temporal convolution kernels. Mach. Learn. 102 (2) (2016)
Maryam Tavakol, Hamid Zafartavanaelmi, Ulf Brefeld
Feature Extraction and Aggregation for Predicting the EURO 2016. MLSA@PKDD/ECML (2016)
Markus Brandt, Ulf Brefeld
Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer. MLSA@PKDD/ECML (2015)
Ulf Brefeld
Multi-view learning with dependent views. SAC (2015)
Ahcène Boubekki, Ulf Brefeld, Thomas Delacroix
Generalising IRT to Discriminate Between Examinees. EDM (2015)
Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld
Toward Data-Driven Analyses of Electronic Text Books. EDM (2015)
Jens Haase, Ulf Brefeld
Mining Positional Data Streams. NFMCP (2014)
Jamal Abdul Nasir, Nico Görnitz, Ulf Brefeld
An Off-the-shelf Approach to Authorship Attribution. COLING (2014)
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
Toward Supervised Anomaly Detection. CoRR (2014)
Emmanouil Tzouridis, Jamal Abdul Nasir, Ulf Brefeld
Learning to Summarise Related Sentences. COLING (2014)
Daniel Bengs, Ulf Brefeld
Computer-based Adaptive Speed Tests. EDM (2014)
Ulf Brefeld
Interdisciplinary Machine Learning. LWA (2014)
Maryam Tavakol, Ulf Brefeld
Factored MDPs for detecting topics of user sessions. RecSys (2014)
Eraldo R. Fernandes, Ulf Brefeld, Roi Blanco, Jordi Atserias
Using Wikipedia for Cross-Language Named Entity Recognition. MSM/MUSE/SenseML (2014)
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
Toward Supervised Anomaly Detection. J. Artif. Intell. Res. 46 (2013)
Jens Haase, Ulf Brefeld
Finding Similar Movements in Positional Data Streams. MLSA@PKDD/ECML (2013)
Daniel Bengs, Ulf Brefeld
Adaptive Speeded Tests. LWA (2013)
Emmanouil Tzouridis, Ulf Brefeld
Learning Shortest Paths for Word Graphs. LWA (2013)
Peter Haider, Luca Chiarandini, Ulf Brefeld
Discriminative clustering for market segmentation. KDD (2012)
Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien
-Norm Multiple Kernel Learning. J. Mach. Learn. Res. 12 (2011)
Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe
Insights from Classifying Visual Concepts with Multiple Kernel Learning CoRR (2011)
Giuseppe Amodeo, Roi Blanco, Ulf Brefeld
Hybrid models for future event prediction. CIKM (2011)
Fabian Rathke, Katja Hansen, Ulf Brefeld, Klaus-Robert Müller
StructRank: A New Approach for Ligand-Based Virtual Screening. J. Chem. Inf. Model. 51 (1) (2011)
Giorgos Giannopoulos, Ulf Brefeld, Theodore Dalamagas, Timos K. Sellis
Learning to rank user intent. CIKM (2011)
Ulf Brefeld, Berkant Barla Cambazoglu, Flavio Paiva Junqueira
Document assignment in multi-site search engines. WSDM (2011)
Eraldo R. Fernandes, Ulf Brefeld
Learning from Partially Annotated Sequences. ECML/PKDD (1) (2011)
Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller
Approximate Tree Kernels. J. Mach. Learn. Res. 11 (2010)
Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien
Non-Sparse Regularization and Efficient Training with Multiple Kernels CoRR (2010)
Ulf Brefeld, Lise Getoor, Sofus A. Macskassy
Eighth workshop on mining and learning with graphs. SIGKDD Explor. 12 (2) (2010)
Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien
Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS (2009)
Alexander Binder, Motoaki Kawanabe, Ulf Brefeld
Efficient Classification of Images with Taxonomies. ACCV (3) (2009)
Marius Kloft, Shinichi Nakajima, Ulf Brefeld
Feature Selection for Density Level-Sets. ECML/PKDD (1) (2009)
Nico Görnitz, Marius Kloft, Ulf Brefeld
Active and Semi-supervised Data Domain Description. ECML/PKDD (1) (2009)
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
Active learning for network intrusion detection. AISec (2009)
Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov
Automatic feature selection for anomaly detection. AISec (2008)
Thoralf Klein, Ulf Brefeld, Tobias Scheffer
Exact and Approximate Inference for Annotating Graphs with Structural SVMs. ECML/PKDD (1) (2008)
Ulf Brefeld, Thoralf Klein, Tobias Scheffer
Support Vector Machines for Collective Inference. MLG (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)
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)
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)
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)
Ulf Brefeld, Tobias Scheffer
Co-EM support vector learning. ICML (2004)
Peter Geibel, Ulf Brefeld, Fritz Wysotzki
Perceptron and SVM learning with generalized cost models. Intell. Data Anal. 8 (5) (2004)
Ulf Brefeld, Steffen Bickel, Tobias Scheffer
Multi-View Lernen. LWA (2004)
Ulf Brefeld, Peter Geibel, Fritz Wysotzki
Support Vector Machines with Example Dependent Costs. ECML (2003)
Peter Geibel, Ulf Brefeld, Fritz Wysotzki
Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. IDA (2003)

Ulf Brefeld.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ulf Brefeld