Travelled to:
1 × Chile
1 × South Korea
1 × Spain
1 × Switzerland
1 × USA
2 × China
Collaborated with:
M.A.Gonçalves F.Mourão W.M.Jr. T.Salles G.S.Ramos R.Chaves V.Rodrigues J.A.Konstan R.S.Oliveira D.Madeira G.Andrade R.Ferreira A.M.Pereira G.Sá T.Silveira F.Teixeira G.L.Pappa E.Clua S.D.Canuto L.Gonçalves T.C.Rosa W.S.Martins F.Viegas S.Daniel
Talks about:
classif (5) exploit (3) effici (3) algorithm (2) document (2) context (2) tempor (2) hybrid (2) effect (2) text (2)
Person: Leonardo C. da Rocha
DBLP: Rocha:Leonardo_C=_da
Contributed to:
Wrote 8 papers:
- SAC-2015-RochaRCOMVADGF #algorithm #classification #dataset #documentation #named #performance #using
- G-KNN: an efficient document classification algorithm for sparse datasets on GPUs using KNN (LCdR, GSR, RC, RSO, DM, FV, GA, SD, MAG, RF), pp. 1335–1338.
- SIGIR-2015-SallesGRR #automation #classification #effectiveness #fault #named #random
- BROOF: Exploiting Out-of-Bag Errors, Boosting and Random Forests for Effective Automated Classification (TS, MAG, VR, LCdR), pp. 353–362.
- CIKM-2014-CanutoSGRRGRM #classification #effectiveness #on the #performance
- On Efficient Meta-Level Features for Effective Text Classification (SDC, TS, MAG, LCdR, GSR, LG, TCR, WSM), pp. 1709–1718.
- SAC-2014-AndradeRMOCFR #architecture #hybrid #performance #scheduling
- Efficient dynamic scheduling of heterogeneous applications in hybrid architectures (GA, GSR, DM, RSO, EC, RF, LCdR), pp. 866–871.
- SAC-2014-SaSCTMR #graph #named
- LEGi: context-aware lexicon consolidation by graph inspection (GS, TS, RC, FT, FM, LCdR), pp. 302–307.
- RecSys-2013-MouraoRKM #hybrid #recommendation
- Exploiting non-content preference attributes through hybrid recommendation method (FM, LCdR, JAK, WMJ), pp. 177–184.
- SIGIR-2010-SallesRPMMG #algorithm #classification #documentation
- Temporally-aware algorithms for document classification (TS, LCdR, GLP, FM, WMJ, MAG), pp. 307–314.
- CIKM-2008-RochaMPGM #classification
- Exploiting temporal contexts in text classification (LCdR, FM, AMP, MAG, WMJ), pp. 243–252.