Travelled to:1 × Austria
1 × France
2 × Canada
2 × USA
Collaborated with:J.Singer M.Luján J.L.Wyatt V.Sazonau U.Sattler G.Kovoor R.E.Jones I.Watson J.Cavazos A.Pocock P.Yiapanis H.Xiao B.Biggio G.Fumera C.Eckert F.Roli
Talks about:garbag (3) predict (2) collect (2) select (2) method (2) java (2) decomposit (1) fundament (1) collector (1) character (1)
Person: Gavin Brown
DBLP: Brown:Gavin
Contributed to:
2015
2014
20112010
20102007
20062003Wrote 8 papers:
- ICML-2015-XiaoBBFER #feature model #question
- Is Feature Selection Secure against Training Data Poisoning? (HX, BB, GB, GF, CE, FR), pp. 1689–1698.
- KR-2014-SazonauSB #owl #performance #predict #question
- Predicting Performance of OWL Reasoners: Locally or Globally? (VS, US, GB).
- ISMM-2011-SingerKBL #garbage collection #java #multi #pipes and filters
- Garbage collection auto-tuning for Java mapreduce on multi-cores (JS, GK, GB, ML), pp. 109–118.
- ISMM-2010-SingerJBL #garbage collection
- The economics of garbage collection (JS, REJ, GB, ML), pp. 103–112.
- LDTA-2009-SingerBLPY10 #java
- Fundamental Nano-Patterns to Characterize and Classify Java Methods (JS, GB, ML, AP, PY), pp. 191–204.
- ISMM-2007-SingerBWC #garbage collection
- Intelligent selection of application-specific garbage collectors (JS, GB, IW, JC), pp. 91–102.
- QAPL-2006-SingerB #predict
- Return Value Prediction meets Information Theory (JS, GB), pp. 137–151.
- ICML-2003-BrownW #ambiguity #composition #learning #network
- The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods (GB, JLW), pp. 67–74.