Peter A. Flach

Professor of Artificial Intelligence

Department of Computer Science

University of Bristol

The Merchant Venturers Building, Room 3.31

Woodland Road

Bristol BS8 1UB, United Kingdom

Phone: +44-117-954-5162

Fax: +44-117-954-5208

Secretary: +44-117-954-5264

Email: Peter.Flach@bristol.ac.uk

I may be travelling...

Research interests

• ROC analysis in machine learning
• Learning from structured data
• Combining logic and probability
• Intelligent (non-deductive) reasoning
• CV (January '08) [ One page | Full ]

Current activities

Teaching

• COMS21202: Symbols, Patterns and Signals (undergraduate)
• COMS30106: Artificial Intelligence and Logic Programming (undergraduate/MSc)
• COMSM0301: Learning from Structured Data (MSc)
• Advanced Computing MSc in Machine Learning and Data Mining
• Available projects

Research and projects

• Exabyte Informatics
• Learning the morphology of complex synthetic languages

Editorial Boards

• Associate Editor-in-Chief of Machine Learning (action editor 2001-5)
• Member of the Editorial Board of Journal of Machine Learning Research
• Member of the Editorial Board of Journal of Artificial Intelligence Research
• Member of the Editorial Board of AI Communications
• Member of the Advisory Board of Theory and Practice of Logic Programming

Program Committees

• ICML'10 (area chair)
• ILP'10
• AAAI'10 (area chair)
• ECAI'10
• ECML/PKDD'10

Upcoming and Recent Invited Talks and Tutorials

• Machine Learning: Unity in Diversity (Invited talk at BNAIC'09)

Professional Organisations

• Member of EPSRC College (2006-9)
• Member of the advisory board of LIACC
• Local coordinator of KDnet
• Administrative coordinator of ILPnet2 (now ended)
• Local coordinator of MLnet 2 (now ended)

Past activities

Research and projects

• The PRIMUS family of discovery systems
• Induction of first-order rules and constraints for knowledge discovery
• FDEP: Inducing functional dependencies from database relations
• Efficient first-order probabilistic models for inference and learning
• Sol-Eu-Net: Data Mining and Decision Support for business competitiveness
• METAL: A Meta-Learning Assistant for Providing User Support in Machine Learning and Data Mining
• The ILP2 project
• ILPnet
• The ILP(1) project

Talks and Tutorials

• Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation (Invited talk at ECML/PKDD'07)
  [ Video and slides ]
• ROC Analysis for Ranking and Probability Estimation (tutorial at UAI'07) [PDF]
• Reinventing Machine Learning with ROC Analysis (invited talk at SBIA/IBERAMIA'06)
• ROC Analysis for Model Improvement: Analysis and Open Questions (talk at UK KDD'05)
• The many faces of ROC analysis in machine learning (tutorial at ICML'04)
• Novelty and discovery: a machine learning approach (talk at Origins of novelty workshop)
• Probabilistic models for structured data (talk at 4th De Morgan workshop)
• Data Mining and Relational Knowledge Discovery (tutorial at ECAI'02, with Nada Lavrac)
• An Introduction to ILP and Propositionalisation (tutorial at Relational Data Mining Summerschool, with Nada Lavrac)
• Multi-Relational Data Mining: a perspective (invited talk at EPIA'01)
• Knowledge representation for Machine Learning (tutorial at ICML'01)
• The logic of learning (invited talk at LICS-2001 Workshop on Logic and Learning)
• A tutorial on rule induction (invited tutorial at Spring School on Intelligent Data Analysis)
• The use of functional and logic languages in machine learning (invited talk at WFLP2000)
• Knowledge Representation for Inductive Logic Programming (invited tutorial at CL2000)
• Knowledge Representation for Inductive Concept Learning (invited talk at ECSQARU'99)
• Inductive Logic Databases (invited talk at DOOD'97)

Publications

• Collection: Abduction and Induction -- essays on their relation and integration
• Textbook: Simply Logical -- intelligent reasoning by example
• PhD thesis: Conjectures -- an inquiry concerning the logic of induction
• List of publications (some downloadable)

Organised Events

• International Workshop on the Integration of Abduction and Induction in AI (AIAI'05)
• ECAI'04 workshop on ROC Analysis in AI
• ECML'01
• Ninth International Workshop on Inductive Logic Programming
• ECAI'98 workshop on Abduction and Induction in AI
• Benelearn'97
• CompulogNet Area Meeting "Representation issues in reasoning and learning"
• IJCAI'97 workshop on Abduction and Induction in AI
• ECAI'96 workshop on Abductive and Inductive Reasoning

Program Committees

• ALT'04, ALT'95, ALT'94
• Benelearn'05, Benelearn'04
• DS'02, DS'00, DS'99, DS'98
• ECAI'08 (area chair), ECAI'06 (area chair), ECAI'02
• ECML/PKDD'08, ECML/PKDD'07 (area chair), ECML/PKDD'06 (area chair), ECML/PKDD'05 (area chair), ECML'04, ECML'03, ECML'02, ECML'01 (PC co-chair), ECML'00
• ECSQARU'03, ECSQARU'01
• ICDM'07, ICDM'06, ICDM'05, ICDM'04, ICDM'03
• ICML'08 (area chair), ICML'07, ICML'05 (area chair), ICML'04 (area chair), ICML'02
• IDA'05, IDA'03
• IJCAI'03 Poster Track
• ILP'09, ILP'08, ILP'07, ILP'06, ILP'05, ILP'04, ILP'03, ILP'02, ILP'01, ILP'00, ILP'99 (PC co-chair), ILP'98, ILP'97, ILP'96, ILP'95
• ISMIS'02
• KDD'09 (Program Co-Chair), KDD'08, KDD'07 (senior PC), KDD'05, KDD'01
• PAKDD'05
• PKDD'04, PKDD'03 PKDD'02, PKDD'01
• PRICAI'08 (area chair)
• SBIA'08, SBIA'04, SBIA/IBERAMIA'00
• SDM'08, SDM'07, SDM'06, SDM'05, SDM'04, SDM'03, SDM'02
• UKCI'05, UKCI'04, UKCI'03
• Workshops:
  • Fifth International Workshop on Mining and Learning with Graphs (MLG'07)
  • AAAI'07 workshop on Evaluation Methods for Machine Learning
  • First International Symposium on Skill Science (ISSS'07)
  • ECML/PKDD'07 workshop on Multi-Relational Data Mining
  • ECML/PKDD'07 workshop on Constraint-Based Mining and Learning
  • ICML'06 workshop on ROC Analysis in Machine Learning
  • AAAI'06 workshop on Evaluation Methods for Machine Learning
  • ECAI'06 Workshop on Abduction and Induction in AI and Scientific Modelling (AIAI'06)
  • ECML/PKDD'06 workshop on Mining and Learning with Graphs (MLG'06)
  • KDD'05 workshop on Multi-Relational Data Mining
  • ICML'05 workshop on ROC Analysis in Machine Learning
  • ECML/PKDD'04 workshop on Advances in Inductive Rule Learning
  • KDD'04 workshop on Multi-Relational Data Mining
  • ECML/PKDD'03 workshop on Graph, Tree, and Sequence Mining
  • KDD'03 workshop on Multi-Relational Data Mining
  • ECML/PKDD'02 Workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning
  • KDD'02 workshop on Multi-Relational Data Mining
  • IJCAI'01 Workshop on Abductive Reasoning
  • ECML'01 workshop on Machine Learning as Experimental Philosphy of Science
  • ECML/PKDD'01 workshop on Integrating Aspects of Data Mining, Decision Support and Meta-Learning
  • FLAIRS'01 Special Track on Knowledge Discovery and Data Mining
  • ECAI'00 Workshop on Scientific Reasoning in AI and Philosophy of Science
  • UAI'00 Workshop on Fusion of Domain Knowledge with Data for Decision Support

Archives

• Paper archive
• Presentation archive