Travelled to:1 × Australia
1 × Canada
5 × USA
Collaborated with:B.Zupan M.Bohanec A.Jakulin J.Demsar D.Suc M.Mozina S.Muggleton A.Varsek G.Leban M.Mramor B.Cestnik M.Guid A.Sadikov V.Groznik J.Krivec
Talks about:machin (3) decomposit (2) visual (2) qualit (2) model (2) learn (2) data (2) hierarchi (1) discoveri (1) signific (1)
Person: Ivan Bratko
DBLP: Bratko:Ivan
Facilitated 1 volumes:
EdContributed to:
2010
2005200420022000199719971991Wrote 9 papers:
- EDM-2010-MozinaGSGKB #concept #student
- Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels (MM, MG, AS, VG, JK, IB), pp. 309–310.
- KDD-2005-JakulinMDBZ #visualisation
- Nomograms for visualizing support vector machines (AJ, MM, JD, IB, BZ), pp. 108–117.
- KDD-2005-LebanMBZ #effectiveness #modelling #visual notation
- Simple and effective visual models for gene expression cancer diagnostics (GL, MM, IB, BZ), pp. 167–176.
- ICML-2004-JakulinB #interactive #testing
- Testing the significance of attribute interactions (AJ, IB).
- ICML-2002-SucB #reverse engineering
- Qualitative reverse engineering (DS, IB), pp. 610–617.
- ICML-2000-ZupanBBD #concept #induction #semistructured data
- Induction of Concept Hierarchies from Noisy Data (BZ, IB, MB, JD), pp. 1199–1206.
- ICML-1997-ZupanBBD #composition #machine learning
- Machine Learning by Function Decomposition (BZ, MB, IB, JD), pp. 421–429.
- KDD-1997-ZupanBBC #approach #composition #data mining #dataset #mining
- A Dataset Decomposition Approach to Data Mining and Machine Discovery (BZ, MB, IB, BC), pp. 299–302.
- ML-1991-BratkoMV #learning #modelling
- Learning Qualitative Models of Dynamic Systems (IB, SM, AV), pp. 385–388.