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...
- Department of Computer Science
| News KDD'09 video lectures now available | Read my encyclopedia entry on ROC analysis | My book on Intelligent Reasoning freely available on-line |
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
Editorial Boards
- Member of the Editorial Board 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
Upcoming and Recent Invited Talks and Tutorials
- Machine Learning: Unity in Diversity (Invited talk at BNAIC'09)
Professional Organisations
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