Ulf Brefeld - RankMe

94 papers A* 9A 5B 10Misc 3Journal 26Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Common Data Format (CDF): A Standardized Format for Match-Data in Football (Soccer). CoRR Gabriel Anzer, Kilian Arnsmeyer, Pascal Bauer, Joris Bekkers, Ulf Brefeld, Jesse Davis, Nicolas Evans, Matthias Kempe, Samuel J. Robertson, Joshua Wyatt Smith, Jan Van Haaren
2025	J	`jnl`	Interactive sequential generative models for team sports. Mach. Learn. Dennis Fassmeyer, Moritz Cordes, Ulf Brefeld
2025	J	`jnl`	Masked autoencoder for multiagent trajectories. Mach. Learn. Yannick Rudolph, Ulf Brefeld
2025	—	`conf`	Self-improvement for Computerized Adaptive Testing. ECML/PKDD (2) Yannick Rudolph, Kai Neubauer, Ulf Brefeld
2025	—	`conf`	Toward Learning Distributions of Distributions. NLDL Moritz Wohlstein, Ulf Brefeld
2024	J	`jnl`	Computational Approaches to Strategy and Tactics in Sports (Dagstuhl Seminar 24081). Dagstuhl Reports Ulf Brefeld, Jesse Davis, Laura de Jong, Stephanie Kovalchik
2023	J	`jnl`	Data practices in apps from Brazil: What do privacy policies inform us about? J. Interact. Syst. Valéria Quadros dos Reis, Maria E. R. Rabello, Anderson C. Lima, Guilherme P. S. Jardim, Eraldo R. Fernandes, Ulf Brefeld
2023	B	`conf`	Hands in Focus: Sign Language Recognition Via Top-Down Attention. ICIP Noha A. Sarhan, Christian Wilms, Vanessa Closius, Ulf Brefeld, Simone Frintrop
2023	—	`ed.`	Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2023	B	`conf`	User Authentication via Multifaceted Mouse Movements and Outlier Exposure. IDA Jennifer Jorina Matthiesen, Hanne Hastedt, Ulf Brefeld
2022	—	`ed.`	Machine Learning and Data Mining for Sports Analytics - 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2022	A	`conf`	Modeling Conditional Dependencies in Multiagent Trajectories. AISTATS Yannick Rudolph, Ulf Brefeld
2022	A*	`conf`	Semi-Supervised Generative Models for Multiagent Trajectories. NeurIPS Dennis Fassmeyer, Pascal Fassmeyer, Ulf Brefeld
2022	J	`jnl`	Who can receive the pass? A computational model for quantifying availability in soccer. Data Min. Knowl. Discov. Uwe Dick, Daniel Link, Ulf Brefeld
2021	J	`jnl`	Joint optimization of an autoencoder for clustering and embedding. Mach. Learn. Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
2021	J	`jnl`	Machine Learning in Sports (Dagstuhl Seminar 21411). Dagstuhl Reports Ulf Brefeld, Jesse Davis, Martin Lames, James J. Little
2021	—	`conf`	Principled Interpolation in Normalizing Flows. ECML/PKDD (2) Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld
2020	—	`conf`	Assessing User Behavior by Mouse Movements. HCI (38) Jennifer Jorina Matthiesen, Ulf Brefeld
2020	—	`conf`	Graph Conditional Variational Models: Too Complex for Multiagent Trajectories? ICBINB@NeurIPS Yannick Rudolph, Ulf Brefeld, Uwe Dick
2020	J	`jnl`	Joint Optimization of an Autoencoder for Clustering and Embedding. CoRR Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
2020	—	`ed.`	Machine Learning and Data Mining for Sports Analytics - 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2020	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I ECML/PKDD (1) Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet
2020	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II ECML/PKDD (2) Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet
2020	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III ECML/PKDD (3) Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet
2020	J	`jnl`	Principled Interpolation in Normalizing Flows. CoRR Samuel G. Fadel, Sebastian Mair, Ricardo da Silva Torres, Ulf Brefeld
2019	A*	`conf`	Coresets for Archetypal Analysis. NeurIPS Sebastian Mair, Ulf Brefeld
2019	J	`jnl`	Learning to Rate Player Positioning in Soccer. Big Data Uwe Dick, Ulf Brefeld
2019	—	`ed.`	Machine Learning and Data Mining for Sports Analytics - 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings MLSA@PKDD/ECML Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann
2019	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part III ECML/PKDD (3) Ulf Brefeld, Edward Curry, Elizabeth Daly, Brian MacNamee, Alice Marascu, Fabio Pinelli, Michele Berlingerio, Neil Hurley
2019	Misc	`conf`	Personalized Transaction Kernels for Recommendation Using MCTS. KI Maryam Tavakol, Tobias Joppen, Ulf Brefeld, Johannes Fürnkranz
2019	J	`jnl`	Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring. Int. J. Artif. Intell. Educ. Irina Pandarova, Torben Schmidt, Johannes Hartig, Ahcène Boubekki, Roger Dale Jones, Ulf Brefeld
2019	J	`jnl`	Probabilistic movement models and zones of control. Mach. Learn. Ulf Brefeld, Jan Lasek, Sebastian Mair
2018	J	`jnl`	Distributed robust Gaussian Process regression. Knowl. Inf. Syst. Sebastian Mair, Ulf Brefeld
2018	—	`conf`	Frame-Based Optimal Design. ECML/PKDD (2) Sebastian Mair, Yannick Rudolph, Vanessa Closius, Ulf Brefeld
2018	B	`conf`	MDP-based Itinerary Recommendation using Geo-Tagged Social Media. IDA Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld
2018	B	`conf`	Mining User Trajectories in Electronic Text Books. EDM Ahcène Boubekki, Shailee Jain, Ulf Brefeld
2017	—	`conf`	A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations. ECML/PKDD (2) Maryam Tavakol, Ulf Brefeld
2017	A*	`conf`	Frame-based Data Factorizations. ICML Sebastian Mair, Ahcène Boubekki, Ulf Brefeld
2017	J	`jnl`	Guest editorial: Special issue on sports analytics. Data Min. Knowl. Discov. Ulf Brefeld, Albrecht Zimmermann
2017	—	`conf`	Infinite Mixtures of Markov Chains. NFMCP@PKDD/ECML Jan Reubold, Ahcène Boubekki, Thorsten Strufe, Ulf Brefeld
2017	Misc	`conf`	Propagating Maximum Capacities for Recommendation. KI Ahcène Boubekki, Ulf Brefeld, Cláudio Leonardo Lucchesi, Wolfgang Stille
2016	—	`conf`	Data-Driven Analyses of Electronic Text Books. Solving Large Scale Learning Tasks Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld
2016	—	`conf`	Feature Extraction and Aggregation for Predicting the EURO 2016. MLSA@PKDD/ECML Maryam Tavakol, Hamid Zafartavanaelmi, Ulf Brefeld
2016	J	`jnl`	Predicting the future performance of soccer players. Stat. Anal. Data Min. Cornelius Arndt, Ulf Brefeld
2016	J	`jnl`	Spatio-temporal convolution kernels. Mach. Learn. Konstantin Knauf, Daniel Memmert, Ulf Brefeld
2015	B	`conf`	Generalising IRT to Discriminate Between Examinees. EDM Ahcène Boubekki, Ulf Brefeld, Thomas Delacroix
2015	—	`conf`	Graph-based Approaches for Analyzing Team Interaction on the Example of Soccer. MLSA@PKDD/ECML Markus Brandt, Ulf Brefeld
2015	Misc	`conf`	Multi-view learning with dependent views. SAC Ulf Brefeld
2015	B	`conf`	Toward Data-Driven Analyses of Electronic Text Books. EDM Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld
2014	B	`conf`	An Off-the-shelf Approach to Authorship Attribution. COLING Jamal Abdul Nasir, Nico Görnitz, Ulf Brefeld
2014	B	`conf`	Computer-based Adaptive Speed Tests. EDM Daniel Bengs, Ulf Brefeld
2014	A	`conf`	Factored MDPs for detecting topics of user sessions. RecSys Maryam Tavakol, Ulf Brefeld
2014	—	`conf`	Interdisciplinary Machine Learning. LWA Ulf Brefeld
2014	B	`conf`	Learning to Summarise Related Sentences. COLING Emmanouil Tzouridis, Jamal Abdul Nasir, Ulf Brefeld
2014	—	`conf`	Mining Positional Data Streams. NFMCP Jens Haase, Ulf Brefeld
2014	J	`jnl`	Toward Supervised Anomaly Detection. CoRR Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
2014	—	`conf`	Using Wikipedia for Cross-Language Named Entity Recognition. MSM/MUSE/SenseML Eraldo R. Fernandes, Ulf Brefeld, Roi Blanco, Jordi Atserias
2013	—	`conf`	Adaptive Speeded Tests. LWA Daniel Bengs, Ulf Brefeld
2013	—	`conf`	Finding Similar Movements in Positional Data Streams. MLSA@PKDD/ECML Jens Haase, Ulf Brefeld
2013	—	`conf`	Learning Shortest Paths for Word Graphs. LWA Emmanouil Tzouridis, Ulf Brefeld
2013	J	`jnl`	Toward Supervised Anomaly Detection. J. Artif. Intell. Res. Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
2012	A*	`conf`	Discriminative clustering for market segmentation. KDD Peter Haider, Luca Chiarandini, Ulf Brefeld
2011	A	`conf`	Document assignment in multi-site search engines. WSDM Ulf Brefeld, Berkant Barla Cambazoglu, Flavio Paiva Junqueira
2011	A	`conf`	Hybrid models for future event prediction. CIKM Giuseppe Amodeo, Roi Blanco, Ulf Brefeld
2011	J	`jnl`	Insights from Classifying Visual Concepts with Multiple Kernel Learning CoRR Alexander Binder, Shinichi Nakajima, Marius Kloft, Christina Müller, Wojciech Samek, Ulf Brefeld, Klaus-Robert Müller, Motoaki Kawanabe
2011	—	`conf`	Learning from Partially Annotated Sequences. ECML/PKDD (1) Eraldo R. Fernandes, Ulf Brefeld
2011	A	`conf`	Learning to rank user intent. CIKM Giorgos Giannopoulos, Ulf Brefeld, Theodore Dalamagas, Timos K. Sellis
2011	J	`jnl`	StructRank: A New Approach for Ligand-Based Virtual Screening. J. Chem. Inf. Model. Fabian Rathke, Katja Hansen, Ulf Brefeld, Klaus-Robert Müller
2010	J	`jnl`	Approximate Tree Kernels. J. Mach. Learn. Res. Konrad Rieck, Tammo Krueger, Ulf Brefeld, Klaus-Robert Müller
2010	J	`jnl`	Eighth workshop on mining and learning with graphs. SIGKDD Explor. Ulf Brefeld, Lise Getoor, Sofus A. Macskassy
2010	J	`jnl`	Non-Sparse Regularization and Efficient Training with Multiple Kernels CoRR Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Alexander Zien
2010	—	`ed.`	Proceedings of the Eighth Workshop on Mining and Learning with Graphs, MLG '10, Washington, D.C., USA, July 24-25, 2010 MLG@KDD Ulf Brefeld, Lise Getoor, Sofus A. Macskassy
2009	—	`conf`	Active and Semi-supervised Data Domain Description. ECML/PKDD (1) Nico Görnitz, Marius Kloft, Ulf Brefeld
2009	—	`conf`	Active learning for network intrusion detection. AISec Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf Brefeld
2009	—	`conf`	Efficient Classification of Images with Taxonomies. ACCV (3) Alexander Binder, Motoaki Kawanabe, Ulf Brefeld
2009	—	`conf`	Efficient and Accurate Lp-Norm Multiple Kernel Learning. NIPS Marius Kloft, Ulf Brefeld, Sören Sonnenburg, Pavel Laskov, Klaus-Robert Müller, Alexander Zien
2009	—	`conf`	Feature Selection for Density Level-Sets. ECML/PKDD (1) Marius Kloft, Shinichi Nakajima, Ulf Brefeld
2008	—	`conf`	Automatic feature selection for anomaly detection. AISec Marius Kloft, Ulf Brefeld, Patrick Düssel, Christian Gehl, Pavel Laskov
2008	—	`conf`	Exact and Approximate Inference for Annotating Graphs with Structural SVMs. ECML/PKDD (1) Thoralf Klein, Ulf Brefeld, Tobias Scheffer
2007	—	`—`	Semi-supervised structured prediction models. Ulf Brefeld
2007	A*	`conf`	Supervised clustering of streaming data for email batch detection. ICML Peter Haider, Ulf Brefeld, Tobias Scheffer
2007	—	`conf`	Support Vector Machines for Collective Inference. MLG Ulf Brefeld, Thoralf Klein, Tobias Scheffer
2007	A*	`conf`	Transductive support vector machines for structured variables. ICML Alexander Zien, Ulf Brefeld, Tobias Scheffer
2006	A*	`conf`	Efficient co-regularised least squares regression. ICML Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel
2006	A*	`conf`	Semi-supervised learning for structured output variables. ICML Ulf Brefeld, Tobias Scheffer
2005	—	`conf`	Multi-View Hidden Markov Perceptrons. LWA Ulf Brefeld, Christoph Büscher, Tobias Scheffer
2005	—	`conf`	Multi-view Discriminative Sequential Learning. ECML Ulf Brefeld, Christoph Büscher, Tobias Scheffer
2005	J	`jnl`	Systematic feature evaluation for gene name recognition. BMC Bioinform. Jörg Hakenberg, Steffen Bickel, Conrad Plake, Ulf Brefeld, Hagen Zahn, Lukas Faulstich, Ulf Leser, Tobias Scheffer
2004	A*	`conf`	Co-EM support vector learning. ICML Ulf Brefeld, Tobias Scheffer
2004	—	`ed.`	LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4. - 6. Oktober 2004, Workshopwoche der GI-Fachgruppen/Arbeitskreise (1) Fachgruppe Adaptivität und Benutzermodellierung in Interaktiven Softwaresystemen (ABIS 2004), (2) Arbeitskreis Knowledge Discovery (AKKD 2004), (3) Fachgruppe Maschinelles Lernen (FGML 2004), (4) Fachgruppe Wissens- und Erfahrungsmanagement (FGWM 2004) LWA Andreas Abecker, Steffen Bickel, Ulf Brefeld, Isabel Drost, Nicola Henze, Olaf Herden, Mirjam Minor, Tobias Scheffer, Ljiljana Stojanovic, Stephan Weibelzahl
2004	—	`conf`	Multi-View Lernen. LWA Ulf Brefeld, Steffen Bickel, Tobias Scheffer
2004	J	`jnl`	Perceptron and SVM learning with generalized cost models. Intell. Data Anal. Peter Geibel, Ulf Brefeld, Fritz Wysotzki
2003	B	`conf`	Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. IDA Peter Geibel, Ulf Brefeld, Fritz Wysotzki
2003	—	`conf`	Support Vector Machines with Example Dependent Costs. ECML Ulf Brefeld, Peter Geibel, Fritz Wysotzki