Peter A. Flach edit

Homepage http://www.compsci.bristol.ac.uk/~flach/
Affiliation University of Bristol
Publications 111
H-index 18
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Publications

#Cited
112 Multi-Instance Kernels - In Proc. 19th International Conf. on Machine Learning - 2002
92 Learning Decision Trees Using the Area Under the ROC Curve - Proceedings of the 19th International Conference on Machine Learning - 2002
67 Rule Evaluation Measures: A Unifying View - Proceedings of the 9th International Workshop on Inductive Logic Programming (ILP-99 - 1999
62 The geometry of ROC space: understanding machine learning metrics through ROC isometrics - in Proceedings of the Twentieth International Conference on Machine Learning - 2003
52 Subgroup discovery with CN2-SD - Journal of Machine Learning Research - 2004
49 Kernels and Distances for Structured Data - Machine Learning - 2004
48 ROC 'n' Rule Learning - Towards a Better Understanding of Covering Algorithms - Machine Learning - 2005
46 Improving Accuracy and Cost of Two-Class and Multi-Class Probabilistic Classifiers Using ROC Curves - ICML-2003 - 2003
42 1BC: a First-Order Bayesian Classifier - - 1999
41 An Analysis of Rule Evaluation Metrics - Proceedings of the 20th International Conference on Machine Learning (ICML-03 - 2003
38 An extended transformation approach to Inductive Logic Programming - - 2000
38 Comparative Evaluation of Approaches to Propositionalization - - 2003
31 Improving the AUC of Probabilistic Estimation Trees - In Proc. of the 14th European Conf. on Machine Learning - 2003
29 Confirmation-guided discovery of first-order rules with Tertius - Machine Learning - 2000
28 Delegating Classifiers - IN PROC. 21ST INTERNATIONAL CONFERENCE ON MACHINE LEARNING - 2004
27 Database Dependency Discovery: A Machine Learning Approach - - 1999
27 Strongly Typed Inductive Concept Learning - Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence - 1998
26 Bottom-up Induction of Functional Dependencies from Relations - In Proceedings of the AAAI'93 Workshop on Knowledge Discovery in Databases - 1993
25 Predictive Performance of Weighted Relative Accuracy - in Proceedings of the Fourth European Conference on Principles of Data Mining and Knowledge Discovery - 2000
24 RSD: Relational subgroup discovery through first-order feature construction - In 12th International Conference on Inductive Logic Programming - 2002
21 Abduction And Induction. Essays On Their Relation And Integration. Bibliography - - 2000
21 Naive Bayesian Classification of Structured Data - - 2003
19 Repairing concavities in ROC curves - In: Proc. 2003 UK Workshop on Computational Intelligence - 2003
17 Rationality postulates for induction - Proc. 6th Int. Conf. on Theoretical Aspects of Rationality and Knowledge, Yoav Shoham - 1996
16 Decision Support through Subgroup Discovery: Three case studies and the lessons learned - - 2004
14 Abduction and Induction: Syllogistic and Inferential Perspectives - ECAI'96 Workshop on Abductive and Inductive Reasoning - 1996
14 Hierarchical Bayesian Networks: A Probabilistic Reasoning Model for Structured Domains - Proceedings of the ICML-2002 Workshop on Development of Representations. University of New South - 2002
12 Hierarchical Bayesian networks: an approach to classification and learning for structured data - Department of Informatics, University of Szeged - 2004
12 The Role of Feature Construction in Inductive Rule Learning - - 2000
10 Inductive Characterisation of Database Relations - - 1990
10 An Analysis of Rule Learning Heuristics - PROCEEDINGS OF THE IEEE CONFERENCE ON DATA MINING (ICDM-07 - 2007
7 A response to Webb and Ting's ‘On the application of ROC analysis to predict classification performance under varying class distributions - Machine Learning - 2005
7 On the logic of induction - - 1996
7 Logical Characterisations Of Inductive Learning - - 2000
7 The logic of learning: a brief introduction to Inductive Logic Programming - University of Manchester - 1998
7 Modifying ROC curves to incorporate predicted probabilities,” appearing in ROCML’05 - - 2005
7 From Extensional to Intensional Knowledge: Inductive Logic Programming Techniques and Their Application to Deductive Databases - Transactions and Change in Logic Databases, volume 1472 of Lecture - 1998
7 On the state of the art in Machine Learning: a personal review - Artificial Intelligence - 2001
6 A first-order representation for knowledge discovery and Bayesian classification on relational data - Mining, decision Support, Meta-learning and ILP : Forum for Practical Problem Presentation and Prospective Solutions (DDMI-2000), Workshop of 4th International Conference on Principles of Data Mining and Knowledge Discovery (PKDD-2000 - 2000
6 Discovery of Multivalued Dependencies from Relations - - 2000
6 Feature selection with labelled and unlabelled data - Proceedings of ECML/PKDD’02 Workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning - 2002
5 Promodes: A probabilistic generative model for word decomposition -
5 Cooking up integrity constraints with PRIMUS - - 1997
5 Rule induction for subgroup discovery with CN2-SD - 2nd Int. Workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and MetaLearning - 2002
5 An analysis of stopping and filtering criteria for rule learning - In Boulicaut, J.-F - 2004
4 First-Order Bayesian Classification with 1BC - - 2000
4 Decision Trees for Ranking: Effect of New Smoothing Methods, New Splitting Criteria and Simple Pruning Methods - - 2003
4 Combining Bayesian networks with higher-order data representations - In 6th International Symposium on Intelligent Data Analysis - 2005
4 ROCCER: A ROC convex hull rule learning algorithm - Proceedings of the ECML/PKDD Workshop on Advances in Inductive Rule Learning - 2004
4 Morphology Learning Using Tree of Aligned Suffix Rules -
3 LEARNING THE MORPHOLOGY OF ZULU WITH DIFFERENT DEGREES OF SUPERVISION -
3 Querying and merging heterogeneous data on approximate joins on higher-order terms - In the 18th International Conference on Inductive Logic Programming, ILP 2008, volume 5194 of LNAI - 2008
3 A First-Order Approach to Unsupervised Learning - - 1999
3 Learning in Clausal Logic: A Perspective on Inductive Logic Programming - Computational Logic: Logic Programming and Beyond, volume 2407 of Lecture Notes in Computer Science - 2002
3 Decomposing Probability Distributions on Structured Individuals - Proceedings of the ECML2000 workshop on Dealing with Structured Data in Machine Learning and Statistics
2 Soft discretization to enhance the continuous decision trees - ECML/PKDD Workshop: IDDM - 2001
2 Abductive and Inductive Reasoning: Report of the ECAI'96 Workshop -
2 Novel Tools To Streamline the Conference Review Process: Experiences from SIGKDD’09 -
2 to appear). Probabilistic reasoning with terms - Linkoping Electronic Articles in Computer and Information Science, 7(011), 2002. Submitted. Available at http://www.ida.liu.se/ext/epa/cis/2002/011/tcover.html
2 The Use of Functional and Logic Languages in Machine Learning - - 2000
2 Comparing Consequence Relations - In Proc. Sixth International Conference on Knowledge Representation and Reasoning KR’98 - 1998
1 A scored AUC Metric for Classifier Evaluation and Selection - - 2005
1 A linear kernel on strongly typed terms - In Multi-Relational Data Mining workshop, Joint workshop of ECML’01 and PKDD’01 - 2001
1 Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation ⋆ -
1 Data Mining on the Sisyphus Dataset: Evaluation and Integration of Results -
1 A report on experiments with weighted relative accuracy in CN2 - - 2000
1 UNGRADE:UNsupervised GRAph DEcomposition -
1 Abduction, Induction, and the Logic of Scientific Knowledge Development -
Artificial Intelligence 131 (2001) 199--222 - - 1986
On the state of the art in Machine Learning: - Artificial Intelligence - 2001
P.A. Flach. Normal Forms for Inductive Logic Programming. Proc. 7th Int. Worksh. on Inductive Logic Programming ILP-97, Nada Lavrac Saso Dzeroski (Eds.), - Proc. 7th Int. Worksh. on Inductive Logic Programming ILP-97, N. Lavrac & S. Dzeroski (eds.), Lecture Notes in Artificial Intelligence 1297 - 1997
BC2: A True First-Order Bayesian Classifier - Proceedings of the 12th International Conference on Inductive Logic Programming - 2002
Repairing Concavities in ROC Curves - In: Proc. 2003 UK Workshop on Computational Intelligence - 2003
The Cycle of Abductive and Inductive Knowledge Development - - 2000
Program Chairs Organization - - 2006
The use of functional and logic languages in -
Outline -
Algorithms for Efficiently and Effectively Using Background Knowledge inTertius -
collaboration on Knowledge-based Discovery in Systems Biology. - - 2007
Logical approaches to Machine Learning --- an overview -
A First-Order Representation for Knowledge Discovery - Mining, decision Support, Meta-learning and ILP : Forum for Practical Problem Presentation and Prospective Solutions (DDMI-2000), Workshop of 4th International Conference on Principles of Data Mining and Knowledge Discovery (PKDD-2000 - 2000
Predictive Performance - in Proceedings of the Fourth European Conference on Principles of Data Mining and Knowledge Discovery - 2000
Machine Learning, 58, 39--77, 2005 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. ROC ' n' Rule Learning---Towards a Better - Machine Learning Journal - 2005
Machine Learning, 58, 33--38, 2005 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. A Response to Webb and Ting's On the Application - Machine Learning - 2005
ROC analysis of Kline Kline data -
Data Mining on Thrombin Dataset -
Normal forms for Inductive Logic Programming - - 1997
Redundant Feature Elimination for Multi-Class Problems -
On the state of the art in Machine Learning: a personal review - Artificial Intelligence - 2001
Machine Learning, 44, 207--209, 2001 c - Machine Learning - 2001
Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica Susanne van Dam * -
December 2000 CSTR-00-018 - Artificial Intelligence - 2001
S. Lange, K. Satoh, and C.H. Smith (Eds.): DS 2002, LNCS 2534, pp. 141-152, 2002. - In Proceedings of the 5th International Conference on Discovery Science - 2002
December 1997 CSTR-97-009 -
Hierarchical Bayesian Networks: an Approach - Department of Informatics, University of Szeged - 2004
Modern Logic and Its Role in the Study of Knowledge -
Neighbourhoods of Examples for Detecting Logical Redundancy -
Decision Tree-Based Data Characterization for Meta- Learning -
Efficient probabilistic models for inference and learning Individual Grant Review Report -
The Use of Functional and Logic Languages -
Discovery of Multivalued Dependencies from - - 2000
Hierarchical Bayesian Networks: A Probabilistic Reasoning - Proceedings of the ICML-2002 Workshop on Development of Representations. University of New South - 2002
Rule Evaluation Measures: A Unifying View - Proceedings of the 9th International Workshop on Inductive Logic Programming (ILP-99 - 1999
An Extended Transformation Approach to . . . - ACM TRANSACTIONS ON COMPUTATIONAL LOGIC - 2001
mailing -
Confirmation-Guided Discovery of First-Order Rules with Tertius - - 2001
c ○ 2004 Kluwer Academic Publishers. Manufactured in The Netherlands. Kernels and Distances for Structured Data -
A first-order representation for knowledge discovery and Bayesian classification on relational data - Mining, decision Support, Meta-learning and ILP : Forum for Practical Problem Presentation and Prospective Solutions (DDMI-2000), Workshop of 4th International Conference on Principles of Data Mining and Knowledge Discovery (PKDD-2000 - 2000

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