Ulf Brefeld

Orcid: 0000-0001-9600-6463

Affiliations:
  • Leuphana University of Lüneburg, Germany


According to our database1, Ulf Brefeld authored at least 77 papers between 2003 and 2024.

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Bibliography

2024
Computational Approaches to Strategy and Tactics in Sports (Dagstuhl Seminar 24081).
Dagstuhl Reports, 2024

2023
Data practices in apps from Brazil: What do privacy policies inform us about?
J. Interact. Syst., February, 2023

User Authentication via Multifaceted Mouse Movements and Outlier Exposure.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Hands in Focus: Sign Language Recognition Via Top-Down Attention.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Who can receive the pass? A computational model for quantifying availability in soccer.
Data Min. Knowl. Discov., 2022

Semi-Supervised Generative Models for Multiagent Trajectories.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Joint optimization of an autoencoder for clustering and embedding.
Mach. Learn., 2021

Machine Learning in Sports (Dagstuhl Seminar 21411).
Dagstuhl Reports, 2021

Principled Interpolation in Normalizing Flows.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

Assessing User Behavior by Mouse Movements.
Proceedings of the HCI International 2020 - Posters - 22nd International Conference, 2020

2019
Probabilistic movement models and zones of control.
Mach. Learn., 2019

Learning to Rate Player Positioning in Soccer.
Big Data, 2019

Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring.
Int. J. Artif. Intell. Educ., 2019

Coresets for Archetypal Analysis.
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.
Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019

2018
Distributed robust Gaussian Process regression.
Knowl. Inf. Syst., 2018

Frame-Based Optimal Design.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

MDP-based Itinerary Recommendation using Geo-Tagged Social Media.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Mining User Trajectories in Electronic Text Books.
Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017
Guest editorial: Special issue on sports analytics.
Data Min. Knowl. Discov., 2017

A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Infinite Mixtures of Markov Chains.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Propagating Maximum Capacities for Recommendation.
Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Frame-based Data Factorizations.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Predicting the future performance of soccer players.
Stat. Anal. Data Min., 2016

Spatio-temporal convolution kernels.
Mach. Learn., 2016

Feature Extraction and Aggregation for Predicting the EURO 2016.
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.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

2015
Multi-view learning with dependent views.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer.
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.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Generalising IRT to Discriminate Between Examinees.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014
Factored MDPs for detecting topics of user sessions.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Mining Positional Data Streams.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Using Wikipedia for Cross-Language Named Entity Recognition.
Proceedings of the Big Data Analytics in the Social and Ubiquitous Context, 2014

Interdisciplinary Machine Learning.
Proceedings of the 16th LWA Workshops: KDML, 2014

Computer-based Adaptive Speed Tests.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Learning to Summarise Related Sentences.
Proceedings of the COLING 2014, 2014

An Off-the-shelf Approach to Authorship Attribution.
Proceedings of the COLING 2014, 2014

2013
Toward Supervised Anomaly Detection.
J. Artif. Intell. Res., 2013

Finding Similar Movements in Positional Data Streams.
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.
Proceedings of the LWA 2013. Lernen, 2013

Adaptive Speeded Tests.
Proceedings of the LWA 2013. Lernen, 2013

2012
Discriminative clustering for market segmentation.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
<i>l<sub>p</sub></i>-Norm Multiple Kernel Learning.
J. Mach. Learn. Res., 2011

StructRank: A New Approach for Ligand-Based Virtual Screening.
J. Chem. Inf. Model., 2011

Insights from Classifying Visual Concepts with Multiple Kernel Learning
CoRR, 2011

Document assignment in multi-site search engines.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Learning from Partially Annotated Sequences.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Learning to rank user intent.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Hybrid models for future event prediction.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Eighth workshop on mining and learning with graphs.
SIGKDD Explor., 2010

Approximate Tree Kernels.
J. Mach. Learn. Res., 2010

Non-Sparse Regularization and Efficient Training with Multiple Kernels
CoRR, 2010

2009
Feature Selection for Density Level-Sets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Active and Semi-supervised Data Domain Description.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Efficient and Accurate Lp-Norm Multiple Kernel Learning.
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.
Proceedings of the 2nd ACM Workshop on Security and Artificial Intelligence, 2009

Efficient Classification of Images with Taxonomies.
Proceedings of the Computer Vision, 2009

2008
Exact and Approximate Inference for Annotating Graphs with Structural SVMs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Automatic feature selection for anomaly detection.
Proceedings of the 1st ACM Workshop on Security and Artificial Intelligence, 2008

2007
Semi-supervised structured prediction models.
PhD thesis, 2007

Support Vector Machines for Collective Inference.
Proceedings of the Mining and Learning with Graphs, 2007

Transductive support vector machines for structured variables.
Proceedings of the Machine Learning, 2007

Supervised clustering of streaming data for email batch detection.
Proceedings of the Machine Learning, 2007

2006
Semi-supervised learning for structured output variables.
Proceedings of the Machine Learning, 2006

Efficient co-regularised least squares regression.
Proceedings of the Machine Learning, 2006

2005
Systematic feature evaluation for gene name recognition.
BMC Bioinform., 2005

Multi-View Hidden Markov Perceptrons.
Proceedings of the Lernen, 2005

Multi-view Discriminative Sequential Learning.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Perceptron and SVM learning with generalized cost models.
Intell. Data Anal., 2004

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

Co-EM support vector learning.
Proceedings of the Machine Learning, 2004

2003
Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

Support Vector Machines with Example Dependent Costs.
Proceedings of the Machine Learning: ECML 2003, 2003


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