Travelled to:1 × Canada
1 × France
1 × Germany
1 × Poland
1 × Portugal
2 × Spain
Collaborated with:J.Vanthienen J.Huysmans C.Mues S.Viaene G.Dedene S.K.L.M.v.Broucke J.D.Weerdt M.Egmont-Petersen R.Castelo M.D.Backer R.Setiono D.V.d.Poel
Talks about:score (4) credit (3) use (3) comprehens (2) network (2) system (2) event (2) decis (2) tabl (2) constrain (1)
Person: Bart Baesens
DBLP: Baesens:Bart
Contributed to:
2012
2005
200420032002
20022000Wrote 8 papers:
- CAiSE-2012-BrouckeWBV #generative #process
- Improved Artificial Negative Event Generation to Enhance Process Event Logs (SKLMvB, JDW, BB, JV), pp. 254–269.
- MLDM-2005-HuysmansBV
- A Comprehensible SOM-Based Scoring System (JH, BB, JV), pp. 80–89.
- ICEIS-v2-2004-HuysmansMVB #mining #web
- Web Usage Mining with Time Constrained Association Rules (JH, CM, JV, BB), pp. 343–348.
- ICEIS-v2-2004-MuesHVB #diagrams #using #visualisation
- Comprehensible Credit-Scoring Knowledge Visualization Using Decision Tables and Diagrams (CM, JH, JV, BB), pp. 226–232.
- ICEIS-v2-2003-BaesensMBVS #using
- Building Intelligent Credit Scoring Systems Using Decision Tables (BB, CM, MDB, JV, RS), pp. 19–25.
- ICEIS-2002-ViaeneBDVP #pattern matching #pattern recognition #proving #recognition #state of the art
- Proof Running Two State-Of-The-Art Pattern Recognition Techniques in the Field of Direct Marketing (SV, BB, GD, JV, DVdP), pp. 446–454.
- ICPR-v3-2002-BaesensECV #classification #learning #markov #monte carlo #network #using
- Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search (BB, MEP, RC, JV), pp. 49–52.
- ICPR-v2-2000-BaesensVVD #feature model #network #optimisation
- Wrapped Feature Selection by Means of Guided Neural Network Optimization (BB, SV, JV, GD), pp. 2113–2116.