Peter Flach

Cited by

	All	Since 2018
Citations	19010	9325
h-index	71	48
i10-index	169	107

2000

1000

500

1500

199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202349 48 59 66 77 112 183 252 372 479 486 531 650 544 494 559 685 639 692 679 793 912 1043 1137 1487 1794 1974 1871

Public access

View all

68 articles

8 articles

available

not available

Based on funding mandates

Co-authors

Meelis KullAssociate Professor, University of TartuVerified email at ut.ee
Tom DietheAstraZeneca; University of BristolVerified email at bristol.ac.uk
José Hernández-OralloVRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politecnica de ValenciaVerified email at upv.es
Cèsar FerriVRAIN. Universitat Politècnica de ValènciaVerified email at dsic.upv.es
Kacper SokolETH ZürichVerified email at inf.ethz.ch
Niall TwomeyAmazon; University of Bristol (honorary)Verified email at bristol.ac.uk
Nicolas LachicheAssociate professor in Computer Science, University of StrasbourgVerified email at unistra.fr
Raúl Santos-RodríguezUniversity of BristolVerified email at bristol.ac.uk
Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
Hao SongAmazon; University of BristolVerified email at amazon.com
Miquel Perelló-NietoResearch Associate at University of BristolVerified email at bristol.ac.uk
Ian CraddockUniversity of BristolVerified email at bristol.ac.uk
Antonis KakasUniversity of CyprusVerified email at ucy.ac.cy
Simon PriceResearch Fellow, University of BristolVerified email at bristol.ac.uk
Shaomin WuProfessor of Business/Applied Statistics, Kent Business School, University of KentVerified email at kent.ac.uk
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
Stefan WrobelFraunhofer IAIS and University of BonnVerified email at iais.fraunhofer.de
Louise Amanda Claire MillardUniversity of BristolVerified email at bristol.ac.uk
Johannes FürnkranzJohannes Kepler University, LinzVerified email at faw.jku.at
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerified email at cs.kuleuven.be

Peter Flach

Professor of Artificial Intelligence, Department of Computer Science, University of Bristol

Verified email at bristol.ac.uk - Homepage

Artificial Intelligence Data Science Machine Learning


Title Sort by citations Sort by year Sort by 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	1755	2012
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	1222	2003
Multi-instance kernels T Gärtner, PA Flach, A Kowalczyk, AJ Smola ICML 2 (3), 7, 2002	700	2002
Rule evaluation measures: A unifying view N Lavrač, P Flach, B Zupan International Conference on Inductive Logic Programming, 174-185, 1999	590	1999
Subgroup discovery with CN2-SD N Lavrač, B Kavšek, P Flach, L Todorovski Journal of Machine Learning Research 5 (Feb), 153-188, 2004	544	2004
Learning decision trees using the area under the ROC curve C Ferri, P Flach, J Hernández-Orallo Icml 2, 139-146, 2002	433	2002
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	419	2003
Propositionalization approaches to relational data mining S Kramer, N Lavrač, P Flach Relational data mining, 262-291, 2001	414	2001
Precision-recall-gain curves: PR analysis done right P Flach, M Kull Advances in neural information processing systems 28, 2015	364	2015
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	349	2019
Roc ‘n’rule learning—towards a better understanding of covering algorithms J Fürnkranz, PA Flach Machine learning 58, 39-77, 2005	314	2005
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	306	2015
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	304	2011
Abduction and Induction: Essays on their relation and integration PA Flach, AC Kakas Kluwer Academic Publishers, 2000	279*	2000
FACE: feasible and actionable counterfactual explanations R Poyiadzi, K Sokol, R Santos-Rodriguez, T De Bie, P Flach Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 344-350, 2020	276	2020
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	273	2020
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with dirichlet calibration M Kull, M Perello Nieto, M Kängsepp, T Silva Filho, H Song, P Flach Advances in neural information processing systems 32, 2019	267	2019
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	245	2012
Database dependency discovery: a machine learning approach PA Flach, I Savnik AI communications 12 (3), 139-160, 1999	232	1999
Confirmation-guided discovery of first-order rules with Tertius PA Flach, N Lachiche Machine learning 42, 61-95, 2001	220	2001

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors