#Cited
 
112

MultiInstance 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 (ILP99
 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 CN2SD
 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 TwoClass and MultiClass Probabilistic Classifiers Using ROC Curves
 ICML2003
 2003

42

1BC: a FirstOrder Bayesian Classifier

 1999

41

An Analysis of Rule Evaluation Metrics
 Proceedings of the 20th International Conference on Machine Learning (ICML03
 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

Confirmationguided discovery of firstorder 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

Bottomup 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 firstorder 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 ICML2002 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 (ICDM07
 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 firstorder representation for knowledge discovery and Bayesian classification on relational data
 Mining, decision Support, Metalearning and ILP : Forum for Practical Problem Presentation and Prospective Solutions (DDMI2000), Workshop of 4th International Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000
 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 MetaLearning
 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 CN2SD
 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

FirstOrder 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 higherorder 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 higherorder terms
 In the 18th International Conference on Inductive Logic Programming, ILP 2008, volume 5194 of LNAI
 2008

3

A FirstOrder 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 MultiRelational 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) 199222

 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 ILP97, Nada Lavrac Saso Dzeroski (Eds.),
 Proc. 7th Int. Worksh. on Inductive Logic Programming ILP97, N. Lavrac & S. Dzeroski (eds.), Lecture Notes in Artificial Intelligence 1297
 1997


BC2: A True FirstOrder 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 Knowledgebased Discovery in Systems Biology.

 2007


Logical approaches to Machine Learning  an overview



A FirstOrder Representation for Knowledge Discovery
 Mining, decision Support, Metalearning and ILP : Forum for Practical Problem Presentation and Prospective Solutions (DDMI2000), Workshop of 4th International Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000
 2000


Predictive Performance
 in Proceedings of the Fourth European Conference on Principles of Data Mining and Knowledge Discovery
 2000


Machine Learning, 58, 3977, 2005 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands. ROC ' n' Rule LearningTowards a Better
 Machine Learning Journal
 2005


Machine Learning, 58, 3338, 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 MultiClass Problems



On the state of the art in Machine Learning: a personal review
 Artificial Intelligence
 2001


Machine Learning, 44, 207209, 2001 c
 Machine Learning
 2001


Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica Susanne van Dam *



December 2000 CSTR00018
 Artificial Intelligence
 2001


S. Lange, K. Satoh, and C.H. Smith (Eds.): DS 2002, LNCS 2534, pp. 141152, 2002.
 In Proceedings of the 5th International Conference on Discovery Science
 2002


December 1997 CSTR97009



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 TreeBased 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 ICML2002 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 (ILP99
 1999


An Extended Transformation Approach to . . .
 ACM TRANSACTIONS ON COMPUTATIONAL LOGIC
 2001


mailing



ConfirmationGuided Discovery of FirstOrder Rules with Tertius

 2001


c ○ 2004 Kluwer Academic Publishers. Manufactured in The Netherlands. Kernels and Distances for Structured Data



A firstorder representation for knowledge discovery and Bayesian classification on relational data
 Mining, decision Support, Metalearning and ILP : Forum for Practical Problem Presentation and Prospective Solutions (DDMI2000), Workshop of 4th International Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000
 2000
