`Travelled to:`

1 × Australia

1 × Canada

1 × Italy

3 × USA

`Collaborated with:`

J.Hernández-Orallo ∅ T.Gärtner C.F.Ramirez C.Ferri J.Fürnkranz N.Lachiche A.Appice M.Ceci S.Rawles A.Kowalczyk A.J.Smola

`Talks about:`

roc (4) classifi (3) multi (3) class (3) curv (3) perform (2) classif (2) metric (2) machin (2) learn (2)

## Person: Peter A. Flach

### DBLP: Flach:Peter_A=

### Facilitated 1 volumes:

### Contributed to:

### Wrote 11 papers:

- ICML-2011-FlachHR #classification #performance
- A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance (PAF, JHO, CFR), pp. 657–664.
- ICML-2011-Hernandez-OralloFR #classification #cost analysis #performance #visualisation
- Brier Curves: a New Cost-Based Visualisation of Classifier Performance (JHO, PAF, CFR), pp. 585–592.
- ICML-2004-AppiceCRF #multi #problem
- Redundant feature elimination for multi-class problems (AA, MC, SR, PAF).
- ICML-2004-FerriFH #classification
- Delegating classifiers (CF, PAF, JHO).
- ICML-2003-Flach #comprehension #geometry #machine learning #metric
- The Geometry of ROC Space: Understanding Machine Learning Metrics through ROC Isometrics (PAF), pp. 194–201.
- ICML-2003-FurnkranzF #analysis #evaluation #metric
- An Analysis of Rule Evaluation Metrics (JF, PAF), pp. 202–209.
- ICML-2003-LachicheF #classification #multi #probability #using
- Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves (NL, PAF), pp. 416–423.
- ICML-2002-FerriFH #learning #using
- Learning Decision Trees Using the Area Under the ROC Curve (CF, PAF, JHO), pp. 139–146.
- ICML-2002-GartnerFKS #kernel #multi
- Multi-Instance Kernels (TG, PAF, AK, AJS), pp. 179–186.
- ICML-2001-GartnerF #classification #named
- WBCsvm: Weighted Bayesian Classification based on Support Vector Machines (TG, PAF), pp. 154–161.
- KR-1998-Flach
- Comparing Consequence Relations (PAF), pp. 180–189.