Travelled to:1 × Canada
1 × Sweden
2 × Germany
3 × USA
Collaborated with:C.Sun D.Oblinger L.A.Rendell K.D.Gupta L.Macri C.F.Eick A.Rouhana A.Bagherjeiran W.Ding T.F.Stepinski L.P.C.Bandeira Y.Wu Z.Lu T.Cao R.K.Sahoo A.J.Oliner I.Rish M.Gupta J.E.Moreira S.Ma A.Sivasubramaniam
Talks about:use (3) distanc (2) cluster (2) classif (2) select (2) featur (2) tree (2) data (2) planetari (1) framework (1)
Person: Ricardo Vilalta
DBLP: Vilalta:Ricardo
Contributed to:
2014
2010
20072005
2003
20001997Wrote 7 papers:
- ICPR-2014-VilaltaGM #adaptation #classification
- Domain Adaptation under Data Misalignment: An Application to Cepheid Variable Star Classification (RV, KDG, LM), pp. 3660–3665.
- CIKM-2010-DingSBVWLC #automation #detection #embedded #feature model #framework #image #using
- Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting (WD, TFS, LPCB, RV, YW, ZL, TC), pp. 749–758.
- MLDM-2007-SunV #using
- Data Selection Using SASH Trees for Support Vector Machines (CS, RV), pp. 286–295.
- MLDM-2005-EickRBV #assessment #clustering #distance #similarity #using
- Using Clustering to Learn Distance Functions for Supervised Similarity Assessment (CFE, AR, AB, RV), pp. 120–131.
- KDD-2003-SahooORGMMVS #clustering #predict #scalability
- Critical event prediction for proactive management in large-scale computer clusters (RKS, AJO, IR, MG, JEM, SM, RV, AS), pp. 426–435.
- ICML-2000-VilaltaO #bias #classification #distance #evaluation #metric #quantifier
- A Quantification of Distance Bias Between Evaluation Metrics In Classification (RV, DO), pp. 1087–1094.
- ICML-1997-VilaltaR #classification #induction #multi
- Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction (RV, LAR), pp. 394–402.