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Peter Flach
Peter Flach
Professor of Artificial Intelligence, Department of Computer Science, University of Bristol
Verified email at bristol.ac.uk - Homepage
Title
Cited by
Cited by
Year
Machine learning: the art and science of algorithms that make sense of data
P Flach
Cambridge university press, 2012
15482012
On graph kernels: Hardness results and efficient alternatives
T Gärtner, P Flach, S Wrobel
Learning Theory and Kernel Machines: 16th Annual Conference on Learning …, 2003
11452003
Multi-instance kernels
T Gärtner, PA Flach, A Kowalczyk, AJ Smola
ICML 2 (3), 7, 2002
6812002
Rule evaluation measures: A unifying view
N Lavrač, P Flach, B Zupan
Inductive Logic Programming: 9th International Workshop, ILP-99 Bled …, 1999
5881999
Subgroup discovery with CN2-SD
N Lavrač, B Kavšek, P Flach, L Todorovski
Journal of Machine Learning Research 5 (Feb), 153-188, 2004
5292004
Learning decision trees using the area under the ROC curve
C Ferri, P Flach, J Hernández-Orallo
Icml 2, 139-146, 2002
4182002
Propositionalization approaches to relational data mining
S Kramer, N Lavrač, P Flach
Relational data mining, 262-291, 2001
4082001
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
3942003
Roc ‘n’rule learning—towards a better understanding of covering algorithms
J Fürnkranz, PA Flach
Machine learning 58, 39-77, 2005
3122005
Precision-recall-gain curves: PR analysis done right
P Flach, M Kull
Advances in neural information processing systems 28, 2015
2932015
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
2822015
Abduction and Induction: Essays on their relation and integration
PA Flach, AC Kakas
Kluwer Academic Publishers, 2000
270*2000
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
2672011
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
2322012
Database dependency discovery: a machine learning approach
PA Flach, I Savnik
AI communications 12 (3), 139-160, 1999
2211999
CRISP-DM twenty years later: From data mining processes to data science trajectories
F Martínez-Plumed, L Contreras-Ochando, C Ferri, J Hernández-Orallo, ...
IEEE Transactions on Knowledge and Data Engineering 33 (8), 3048-3061, 2019
2102019
Confirmation-guided discovery of first-order rules with Tertius
PA Flach, N Lachiche
Machine learning 42 (1-2), 61, 2001
2102001
Kernels and distances for structured data
T Gärtner, JW Lloyd, PA Flach
Machine Learning 57, 205-232, 2004
2072004
Explainability fact sheets: a framework for systematic assessment of explainable approaches
K Sokol, P Flach
Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020
1962020
Naive Bayesian classification of structured data
PA Flach, N Lachiche
Machine learning 57, 233-269, 2004
1942004
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