Travelled to:1 × Sweden
2 × USA
Collaborated with:T.Leong T.T.Nguyen Z.Li P.Kontkanen P.Myllymäki H.Tirri B.Su T.A.Dinh A.K.Ambastha T.Gong S.Lu C.C.T.Lim B.C.Pang C.K.Lee C.L.Tan
Talks about:select (2) featur (2) reinforc (1) bayesian (1) traumat (1) softwar (1) predict (1) glasgow (1) classif (1) outcom (1)
Person: Tomi Silander
DBLP: Silander:Tomi
Contributed to:
2014
2013
1998Wrote 3 papers:
- ICPR-2014-SuDAGSLLPLLT #automation #predict
- Automated Prediction of Glasgow Outcome Scale for Traumatic Brain Injury (BS, TAD, AKA, TG, TS, SL, CCTL, BCP, CKL, TYL, CLT), pp. 3245–3250.
- ICML-c1-2013-0005LSL #feature model #learning #modelling #online
- Online Feature Selection for Model-based Reinforcement Learning (TTN, ZL, TS, TYL), pp. 498–506.
- KDD-1998-KontkanenMST #classification #feature model #named
- BAYDA: Software for Bayesian Classification and Feature Selection (PK, PM, TS, HT), pp. 254–258.