Travelled to:
1 × Cyprus
1 × France
1 × Portugal
1 × Switzerland
1 × Taiwan
2 × USA
Collaborated with:
J.C.R.Santos F.J.Ferrer-Troyano F.Divina A.E.M.Chamorro J.A.Nepomuceno A.T.Lora R.R.Sánchez R.Costa D.Mateos R.Giráldez
Talks about:
data (5) evolutionari (4) stream (4) rule (4) numer (3) base (3) increment (2) discoveri (2) structur (2) biclust (2)
Person: Jesús S. Aguilar-Ruiz
DBLP: Aguilar-Ruiz:Jes=uacute=s_S=
Contributed to:
Wrote 11 papers:
- SAC-2011-ChamorroDA #predict
- Evolutionary computation for the prediction of secondary protein structures (AEMC, FD, JSAR), pp. 1082–1087.
- SAC-2010-NepomucenoLA #clustering #correlation #linear #metaheuristic
- Evolutionary metaheuristic for biclustering based on linear correlations among genes (JAN, ATL, JSAR), pp. 1143–1147.
- SAC-2006-Ferrer-TroyanoAS #classification #data type #incremental #learning
- Data streams classification by incremental rule learning with parameterized generalization (FJFT, JSAR, JCRS), pp. 657–661.
- SAC-2005-Aguilar-RuizD #clustering
- Evolutionary computation for biclustering of gene expression (JSAR, FD), pp. 959–960.
- SAC-2005-Ferrer-TroyanoAS #data type #incremental #learning
- Incremental rule learning based on example nearness from numerical data streams (FJFT, JSAR, JCRS), pp. 568–572.
- ICEIS-v2-2004-SanchezSA #database #reduction
- Databases Reduction (RRS, JCRS, JSAR), pp. 98–103.
- SAC-2004-Aguilar-RuizCD #information management
- Knowledge discovery from doctor-patient relationship (JSAR, RC, FD), pp. 280–284.
- SAC-2004-Ferrer-TroyanoAS #data type
- Discovering decision rules from numerical data streams (FJFT, JSAR, JCRS), pp. 649–653.
- SAC-2004-MateosSA #segmentation
- Evolutionary segmentation of yeast genome (DM, JCRS, JSAR), pp. 1026–1027.
- SAC-2003-Ferrer-TroyanoAS #data type #mining #prototype
- Prototype-based Mining of Numeric Data Streams (FJFT, JSAR, JCRS), pp. 480–484.
- SAC-2003-GiraldezAS #data type #performance
- An Efficient Data Structure for Decision Rules Discovery (RG, JSAR, JCRS), pp. 475–479.