Travelled to:
1 × Australia
1 × Italy
1 × Switzerland
1 × The Netherlands
2 × United Kingdom
4 × USA
Collaborated with:
∅ M.Schedl P.Knees T.Pohle A.Flexer E.Pampalk K.Seyerlehner J.Fürnkranz W.Goebl D.Schnitzer C.Schiketanz B.Bringmann S.Kramer F.Neubarth H.Pirker
Talks about:
base (4) music (3) web (3) increment (2) automat (2) toward (2) system (2) learn (2) exploratori (1) transform (1)
Person: Gerhard Widmer
DBLP: Widmer:Gerhard
Contributed to:
Wrote 11 papers:
- SIGIR-2010-SchedlSSWS #heuristic
- Three web-based heuristics to determine a person’s or institution’s country of origin (MS, KS, DS, GW, CS), pp. 801–802.
- RecSys-2009-SeyerlehnerFW #on the #recommendation
- On the limitations of browsing top-N recommender systems (KS, AF, GW), pp. 321–324.
- ECIR-2008-SchedlKPW #automation #information management #mining #music #towards #web
- Towards an Automatically Generated Music Information System Via Web Content Mining (MS, PK, TP, GW), pp. 585–590.
- SIGIR-2007-KneesPSW #metric #music #similarity
- A music search engine built upon audio-based and web-based similarity measures (PK, TP, MS, GW), pp. 447–454.
- ECIR-2006-SchedlKPW #automation #retrieval #towards
- Towards Automatic Retrieval of Album Covers (MS, PK, TP, GW), pp. 531–534.
- ECDL-2005-PampalkFW #music
- Hierarchical Organization and Description of Music Collections at the Artist Level (EP, AF, GW), pp. 37–48.
- KDD-2003-PampalkGW #feature model #visualisation
- Visualizing changes in the structure of data for exploratory feature selection (EP, WG, GW), pp. 157–166.
- ICML-2002-BringmannKNPW
- Transformation-Based Regression (BB, SK, FN, HP, GW), pp. 59–66.
- ICML-1996-Widmer #incremental #recognition
- Recognition and Exploitation of Contextual CLues via Incremental Meta-Learning (GW), pp. 525–533.
- ICML-1994-FurnkranzW #fault #incremental
- Incremental Reduced Error Pruning (JF, GW), pp. 70–77.
- ML-1989-Widmer #deduction #integration #learning
- A Tight Integration of Deductive Learning (GW), pp. 11–13.