Peter Flach
Peter Flach
Professor of Artificial Intelligence, Department of Computer Science, University of Bristol
Geverifieerd e-mailadres voor bristol.ac.uk - Homepage
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Machine learning: the art and science of algorithms that make sense of data
P Flach
Cambridge University Press, 2012
10342012
On graph kernels: Hardness results and efficient alternatives
T Gärtner, P Flach, S Wrobel
Learning theory and kernel machines, 129-143, 2003
9702003
Multi-instance kernels
T Gärtner, PA Flach, A Kowalczyk, AJ Smola
ICML 2 (3), 7, 2002
6042002
Rule evaluation measures: A unifying view
N Lavrač, P Flach, B Zupan
International Conference on Inductive Logic Programming, 174-185, 1999
5511999
Subgroup discovery with CN2-SD
N Lavrač, B Kavšek, P Flach, L Todorovski
Journal of Machine Learning Research 5 (Feb), 153-188, 2004
4652004
Learning decision trees using the area under the ROC curve
C Ferri, P Flach, J Hernández-Orallo
Icml 2, 139-146, 2002
3762002
Propositionalization approaches to relational data mining
S Kramer, N Lavrač, P Flach
Relational data mining, 262-291, 2001
3712001
The geometry of ROC space: understanding machine learning metrics through ROC isometrics
PA Flach
Proceedings of the 20th international conference on machine learning (ICML …, 2003
3292003
Roc ‘n’rule learning—towards a better understanding of covering algorithms
J Fürnkranz, PA Flach
Machine learning 58 (1), 39-77, 2005
2872005
Abduction and Induction: Essays on their relation and integration
PA Flach, AC Kakas
Kluwer Academic Publishers, 2000
266*2000
Kernels and distances for structured data
T Gärtner, JW Lloyd, PA Flach
Machine Learning 57 (3), 205-232, 2004
2052004
Confirmation-guided discovery of first-order rules with Tertius
PA Flach, N Lachiche
Machine learning 42 (1), 61-95, 2001
1902001
Bridging e-health and the internet of things: The sphere project
N Zhu, T Diethe, M Camplani, L Tao, A Burrows, N Twomey, D Kaleshi, ...
IEEE Intelligent Systems 30 (4), 39-46, 2015
1892015
Database dependency discovery: a machine learning approach
PA Flach, I Savnik
AI communications 12 (3), 139-160, 1999
1861999
A unified view of performance metrics: Translating threshold choice into expected classification loss
J Hernández-Orallo, P Flach, C Ferri Ramírez
Journal of Machine Learning Research 13, 2813-2869, 2012
1802012
A coherent interpretation of AUC as a measure of aggregated classification performance
PA Flach, J Hernández-Orallo, C Ferri
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
1792011
Simply logical intelligent reasoning by example
PA Flach
1741994
Naive Bayesian classification of structured data
PA Flach, N Lachiche
Machine Learning 57 (3), 233-269, 2004
1692004
Comparative evaluation of approaches to propositionalization
MA Krogel, S Rawles, F Železný, PA Flach, N Lavrač, S Wrobel
International Conference on Inductive Logic Programming, 197-214, 2003
1692003
Improving accuracy and cost of two-class and multi-class probabilistic classifiers using ROC curves
N Lachiche, PA Flach
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
1672003
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