Travelled to:1 × Canada
1 × China
1 × Spain
1 × United Kingdom
3 × USA
Collaborated with:T.Scheffer P.Haider ∅ M.Tavakol L.Chiarandini G.Amodeo R.Blanco A.Zien G.Giannopoulos T.Dalamagas T.K.Sellis T.Gärtner S.Wrobel
Talks about:learn (4) supervis (2) structur (2) variabl (2) support (2) cluster (2) vector (2) detect (2) view (2) user (2)
Person: Ulf Brefeld
DBLP: Brefeld:Ulf
Contributed to:
2015
2014
2012
2011
200720062004Wrote 10 papers:
- SAC-2015-Brefeld #learning #multi
- Multi-view learning with dependent views (UB), pp. 865–870.
- RecSys-2014-TavakolB #detection #topic
- Factored MDPs for detecting topics of user sessions (MT, UB), pp. 33–40.
- KDD-2012-HaiderCB #clustering #segmentation
- Discriminative clustering for market segmentation (PH, LC, UB), pp. 417–425.
- CIKM-2011-AmodeoBB #hybrid #modelling #predict
- Hybrid models for future event prediction (GA, RB, UB), pp. 1981–1984.
- CIKM-2011-GiannopoulosBDS #learning #rank
- Learning to rank user intent (GG, UB, TD, TKS), pp. 195–200.
- ICML-2007-HaiderBS #clustering #detection #email #streaming
- Supervised clustering of streaming data for email batch detection (PH, UB, TS), pp. 345–352.
- ICML-2007-ZienBS
- Transductive support vector machines for structured variables (AZ, UB, TS), pp. 1183–1190.
- ICML-2006-BrefeldGSW #performance
- Efficient co-regularised least squares regression (UB, TG, TS, SW), pp. 137–144.
- ICML-2006-BrefeldS #learning
- Semi-supervised learning for structured output variables (UB, TS), pp. 145–152.
- ICML-2004-BrefeldS #learning
- Co-EM support vector learning (UB, TS).