Publications by Peter Flach

This is a list of all publications (co-)authored by Peter Flach that are contained in the publications database of the Department of Computer Science, University of Bristol. To perform an alternative search of the publications database, please go to the publications database home page.

2012

• José Hernández-Orallo, Peter Flach, Cèsar Ferri, A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss. Journal of Machine Learning Research, 13, pp. 2813–2869. October 2012. PDF, 1051 Kbytes. External information
• Peter Flach, Machine Learning: The art and science of algorithms that make sense of data. Cambridge University Press. ISBN 9781107422223. September 2012. No electronic version available. External information
• Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Peter A. Flach, Tijl De Bie, Nello Cristianini, (eds.). Springer. ISBN 978-3-642-33459-7. September 2012. No electronic version available.
• Simon Price, Peter Flach, Sebastian Spiegler, Christopher Bailey, Nikki Rogers, SubSift web services and workflows for profiling and comparing scientists and their published works. Future Generation Computing Systems, 29(2). ISSN 0167-739X, pp. 569–581. February 2012. PDF, 786 Kbytes. External information
• Daniel Berrar, Peter Flach, Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them). Briefings in Bioinformatics, 13(1). ISSN 1467-5463, pp. 83–97. January 2012. PDF, 419 Kbytes. External information

2011

• William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin, Smooth Receiver Operating Characteristics (smROC) Curves. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'11). ISBN 978-3-642-23782-9, pp. 193–208. September 2011. No electronic version available. External information
• José Hernández-Orallo, Peter Flach, Cèsar Ferri, Brier curves: a new cost-based visualisation of classifier performance. International Conference on Machine Learning. June 2011. PDF, 243 Kbytes. External information
• Peter Flach, José Hernández-Orallo, Cèsar Ferri, A coherent interpretation of AUC as a measure of aggregated classification performance. International Conference on Machine Learning. June 2011. PDF, 226 Kbytes. External information
• Peter A. Flach, The Machine Learning journal: 25 years young. Machine Learning, 82(3). ISSN 1573-0565, pp. 1–2. March 2011. PDF, 127 Kbytes. External information
• Tarek Abudawood, Peter Flach, First-Order Multi-class Subgroup Discovery. The 5th Starting AI Researchers' Symposium (STAIRS'10). Thomas Ågotnes, (eds.). ISBN 978-1-60750-675-1, pp. 1–12. January 2011. PDF, 163 Kbytes.

2010

• Peter A. Flach, ROC Analysis. Chapter in Encyclopedia of Machine Learning. ISBN 978-0-387-30768-8, pp. 869–875. December 2010. PDF, 466 Kbytes. External information
• Peter A. Flach, First-Order Logic. Chapter in Encyclopedia of Machine Learning. ISBN 978-0-387-30768-8, pp. 410–415. December 2010. PDF, 336 Kbytes. External information
• Peter Flach, The Machine Learning journal: 250 issues and counting. Machine Learning, 81(3). ISSN 0885-6125, pp. 227–228. December 2010. PDF, 259 Kbytes. External information
• Simon Price, Peter Flach, Sebastian Spiegler, Christopher Bailey, Nikki Rogers, SubSift web services and workflows for profiling and comparing scientists and their published works. The 6th IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia. ISBN 9780769542904, pp. 182–189. December 2010. PDF, 696 Kbytes.
• Tarek Abudawood, Peter Flach, Selection of Seed Examples in ILP. The 3rd York Doctoral Symposium on Computing (YDS'10), pp. 29–38. November 2010. No electronic version available. External information
• Tarek Abudawood, Peter Flach, Exploiting the High Predictive Power of Multi-class Subgroups. JMLR Workshop and Conference Proceedings Volume 13: 2nd Asian Conference on Machine Learning (ACML'10). Masashi Sugiyama , Qiang Yang, (eds.), pp. 177–192. November 2010. PDF, 160 Kbytes. External information
• Simon Price, Peter A. Flach, Sebastian Spiegler, SubSift: a novel application of the vector space model to support the academic peer review process. Workshop on Applications of Pattern Analysis (WAPA 2010), Windsor, UK. ISSN 19387228, pp. 20–27. September 2010. PDF, 461 Kbytes.
• Sebastian Spiegler, Andrew van der Spuy, Peter A. Flach, Ukwabelana - An open-source morphological Zulu corpus. Proceedings of the 23rd International Conference on Computational Linguistics (COLING), pp. 1020–1028. August 2010. PDF, 189 Kbytes.
• Tarek Abudawood, Peter Flach, The Advantages of Seed Examples in First-Order Multi-class Subgroup Discovery. The 19th European Conference on Artificial Intelligence (ECAI'10), pp. 1113–1114. August 2010. PDF, 90 Kbytes.
• Sebastian Spiegler, Andrew van der Spuy, Peter A. Flach, Additional material for the Ukwabelana Zulu corpus. CSTR-10-003, University of Bristol. July 2010. PDF, 104 Kbytes.
• Sebastian Spiegler, Peter Flach, Enhanced word decomposition by calibrating the decision threshold of probabilistic models and using a model ensemble. 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), pp. 375–383. July 2010. PDF, 275 Kbytes.
• Tarek Abudawood, Peter Flach, Learning Multi-class Theories in ILP. The 20th International Conference on Inductive Logic Programming (ILP'10). June 2010. PDF, 98 Kbytes.
• Bruno Golenia, Sebastian Spiegler, Peter Flach, Unsupervised Morpheme Discovery with Ungrade. Multilingual Information Access Evaluation. February 2010. PDF, 129 Kbytes.
• Sebastian Spiegler, Bruno Golenia, Peter Flach, Unsupervised Word Decomposition with the Promodes Algorithm. Chapter in Multilingual Information Access Evaluation, Lecture Notes in Computer Science. February 2010. PDF, 277 Kbytes.

2009

• Peter Flach, Sebastian Spiegler, Bruno Golenia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki, Novel Tools To Streamline the Conference Review Process: Experiences from SIGKDD'09. SIGKDD Explorations, 11(2). ISSN 19310145, pp. 62–67. December 2009. PDF, 307 Kbytes.
• Bruno Golenia, Sebastian Spiegler, Peter Flach, UNGRADE: UNsupervised GRAph DEcomposition. Working Notes for the CLEF 2009 Workshop, Corfu, Greece. September 2009. PDF, 71 Kbytes. External information
• Sebastian Spiegler, Bruno Golenia, Peter Flach, Promodes: A probabilistic generative model for word decompositions. Working Notes for the CLEF 2009 Workshop, Corfu, Greece. September 2009. PDF, 399 Kbytes. External information
• Tarek Abudawood, Peter Flach, Evaluation Measures for Multi-class Subgroup Discovery. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'09), pp. 35–50. September 2009. PDF, 188 Kbytes.
• Antonis C. Kakas, Peter Flach, Abduction and Induction in Artificial Intelligence. Journal of Applied Logic, 7(3). ISSN 1570-8683, pp. 251–251. July 2009. No electronic version available.
• Ksenia Shalonova, Bruno Golenia, Peter Flach, Towards Learning Morphology for Under-Resourced Fusional and Agglutinating Languages. IEEE Transactions on Audio, Speech, and Language Processing, 17(5), pp. 956–965. July 2009. No electronic version available.
• Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. John F. Elder IV, Françoise Fogelman-Soulié, Peter Flach, Mohammed Zaki, (eds.). Association for Computing Machinery. ISBN ISBN 978-1-60558-495-9. June 2009. No electronic version available. External information
• William Klement, Peter Flach, Nathalie Japkowicz, Stan Matwin, Cost-based Sampling of Individual Instances. Canadian Conference on Artificial Intelligence. ISBN 978-3-642-01817-6, pp. 86–97. May 2009. No electronic version available.
• Susanne Hoche, David Hardcastle, Peter Flach, Using Time Dependent Link Reduction to Improve the Efficiency of Topic Prediction in Co-Authorship Graphs. Complex Networks: Results of the 1st International Workshop on Complex Networks (CompleNet 2009). May 2009. PDF, 357 Kbytes.

2008

• Sebastian Spiegler, Bruno Golenia, Ksenia Shalonova, Peter Flach, Roger Tucker, Learning the morphology of Zulu with different degrees of supervision. Spoken Language Technology Workshop, 2008. SLT 2008. IEEE. ISBN 978-1-4244-3471-8, pp. 9–12. December 2008. PDF, 82 Kbytes. External information
• Peter Flach, Separating the wheat from the chaff with machine learning. CSTR-10-001, University of Bristol. November 2008. PDF, 119 Kbytes. External information
• Simon Price, Peter Flach, Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms. Proceedings 18th International Conference on Inductive Logic Programming. ISBN 9783540859277, pp. 226–243. August 2008. PDF, 331 Kbytes. External information
• William Klement, Peter Flach, Soft Receiver Operating Characteristics Curves. Proceedings of the 3rd International Workshop on Evaluation Methods for Machine Learning. July 2008. No electronic version available. External information
• Susanne Hoche, Peter Flach, David Hardcastle, A Fast Method for Property Prediction in Graph-Structured Data from Positive and Unlabelled Examples. Proceedings of the 18th European Conference on Artificial Intelligence. July 2008. PDF, 139 Kbytes.

2007

• Susanne Hoche, Andreas Nuernberger, Peter Flach, Network Analysis in Natural Sciences and Engineering. AI Communications, 20(4). December 2007. No electronic version available.
• Shaomin Wu, Peter Flach, Cesar Ferri, An Improved Model Selection Heuristic for AUC. 18th European Conference on Machine Learning. Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic, Andrzej Skowron, (eds.). ISBN 978-3-540-74975-2, pp. 478–489. September 2007. PDF, 329 Kbytes. External information
• Peter Flach, Edson Takashi Matsubara, A Simple Lexicographic Ranker and Probability Estimator. 18th European Conference on Machine Learning. Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic, Andrzej Skowron, (eds.). ISBN 978-3-540-74975-2, pp. 575–582. September 2007. PDF, 287 Kbytes. External information
• Peter A. Flach, Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation (invited talk). 18th European Conference on Machine Learning and 11th European Conference on Principles and Practice of Knowledge Discovery in Databases. Joost N. Kok, Jacek Koronacki, Ramon Lopez de Mantaras, Stan Matwin, Dunja Mladenic, Andrzej Skowron, (eds.). ISBN 978-3-540-74975-2, pp. 2–3. September 2007. PDF, 134 Kbytes. External information
• Ksenia Shalonova, Peter Flach, Morphology learning using tree of aligned suffix rules. ICML Workshop on Challenges and Applications of Grammar Induction. June 2007. PDF, 606 Kbytes.
• Ksenia Shalonova, Peter Flach, Morphology Learning using tree of aligned suffix rules. ICML Workshop on Challenges and Applications of Grammar Induction. February 2007. No electronic version available.

2006

• Peter A. Flach, Reinventing Machine Learning with ROC Analysis (invited talk). Proceedings of the 10th Ibero-American Conference on AI and the 18th Brazilian AI Symposium. ISBN 3-540-45462, pp. 4–5. October 2006. No electronic version available. External information
• Susanne Hoche, Peter Flach, Predicting Topics of Scientific Papers from Co-Authorship Graphs: a Case Study. Proceedings ot the 2006 UK Workshop on Computational Intelligence (UKCI2006), pp. 215–222. September 2006. PDF, 425 Kbytes.
• Oliver Ray, Using abduction for induction of normal logic programs. ECAI'06 Workshop on Abduction and Induction in Artificial Intelligence and Scientific Modelling. P. Flach, A. Kakas, L. Magnani, O. Ray, (eds.), pp. 28–31. August 2006. PDF, 82 Kbytes. External information
• Peter Flach, Antonis Kakas, Oliver Ray, Abduction, induction, and the logic of scientific knowledge development. ECAI'06 workshop on Abduction and Induction in AI and Scientific Modelling. P.A. Flach, A.C. Kakas, L. Magnani, O. Ray, (eds.), pp. 21–23. August 2006. PDF, 41 Kbytes. External information
• Kerstin Eder, Peter Flach, Hsiou-Wen Hsueh, Towards Automating Simulation-Based Design Verification using ILP. 16th International Conference on Inductive Logic Programming. Stephen Muggleton, Ramon Otero, Alireza Tamaddoni-Nezhad, (eds.). ISBN 978-3-540-73846-6, pp. 154–168. August 2006. PDF, 352 Kbytes. External information
• Peter Flach, Valentina Maraldi, Fabrizio Riguzzi, Algorithms for Efficiently and Effectively Using Background Knowledge in Tertius . ``Analisi Sperimentale e Benchmark di Algoritmi per l'Intelligenza Artificiale'' (Incontro del Gruppo di Lavoro Rappresentazione della Conoscenza e Ragionamento Automatico dell'Associazione Italiana per l'Intelligenza Artificiale). Marco Gavanelli, Tony Mancini, (eds.). June 2006. PDF, 101 Kbytes. External information
• Peter Flach, Antonis Kakas, Abduction, Induction, and the Logic of Scientific Knowledge Development. Goedel Centenary 2006. April 2006. PDF, 102 Kbytes. External information

2005

• Elias Gyftodimos, Peter A. Flach, Combining Bayesian Networks with Higher-Order Data Representations. Proceedings of the 6th International Symposium on Intelligent Data Analysis (IDA'06). ISBN 3-540-28795-7, pp. 145–157. September 2005. PDF, 309 Kbytes.
• Ronaldo C. Prati, Peter A. Flach, ROCCER: an Algorithm for Rule Learning Based on ROC Analysis. Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05). ISSN 0938075934, pp. 823–828. August 2005. PDF, 173 Kbytes. External information
• Peter A. Flach, Shaomin Wu, Repairing concavities in ROC curves. Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI'05). ISSN 0938075934, pp. 702–707. August 2005. PDF, 494 Kbytes. External information
• Simon Rawles, Peter Flach, Neighbourhoods of examples for detecting logical redundancy. Late-breaking Papers from the 15th International Conference on Inductive Logic Programming (ILP'2005). Stefan Kramer, Bernhard Pfaringher, (eds.), pp. 47–52. July 2005. PDF, 34 Kbytes.
• Elias Gyftodimos, Peter A. Flach, Combining Bayesian Networks with Higher-Order Data Representations. Probabilistic, Logical and Relationial Learning - Towards a Synthesis. January 2005. PDF, 124 Kbytes. External information
• Tom Fawcett, Peter A. Flach, A Response to Webb and Ting's On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. Machine Learning, 58(1). ISSN 0885-6125, pp. 33–38. January 2005. PDF, 66 Kbytes.
• Johannes Fuernkranz, Peter A. Flach, ROC 'n' Rule Learning -- Towards a Better Understanding of Covering Algorithms. Machine Learning, 58(1). ISSN 0885-6125, pp. 39–77. January 2005. PDF, 417 Kbytes.

2004

• Thomas Gaertner, John W. Lloyd, Peter A. Flach, Kernels and Distances for Structured Data. Machine Learning, 57(3). ISSN 0885-6125, pp. 205–232. December 2004. PDF, 236 Kbytes.
• Peter A. Flach, Nicolas Lachiche, Naive Bayesian Classification of Structured Data. Machine Learning, 57(3). ISSN 0885-6125, pp. 233–269. December 2004. PDF, 266 Kbytes.
• Nada Lavrac, Bojan Cestnik, Dragan Gamberger, Peter Flach, Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned. Machine Learning, 57(1-2). ISSN 0885-6125, pp. 115–143. October 2004. PDF, 164 Kbytes. External information
• Johannes Fuernkranz, Peter Flach, An Analysis of Stopping and Filtering Criteria for Rule Learning. Proceedings of the 15th European Conference on Machine Learning. ISBN 3-540-23105-6, pp. 123–133. September 2004. PDF, 390 Kbytes.
• Cesar Ferri, Peter Flach, Jose Hernandez-Orallo, Delegating Classifiers. Proceedings of the 21st International Conference on Machine Learning (ICML 2004). Russ Greiner, Dale Schuurmans, (eds.). ISBN 1-58113-838-5. July 2004. PDF, 956 Kbytes.
• Annalisa Appice, Michelangelo Ceci, Simon Rawles, Peter Flach, Redundant feature elimination for multi-class problems. Proceedings of the 21st International Conference on Machine Learning (ICML 2004). Russ Greiner , Dale Schuurmans, (eds.). ISBN 1-58113-838-5, pp. 33–40. July 2004. PDF, 1056 Kbytes.
• Elias Gyftodimos, Peter Flach, Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data.. Proceedings of Methods and Applications of Artificial Intelligence, Third Hellenic Conference on AI (SETN 2004). George A. Vouros, Themis Panayiotopoulos, (eds.). ISBN 3-540-21937-4, pp. 291–300. May 2004. PDF, 222 Kbytes. External information
• Nada Lavrac, Branko Kavsek, Peter Flach, Ljupco Todorovski, Subgroup discovery with CN2-SD. Journal of Machine Learning Research, 5(Feb). ISSN 1533-7928, pp. 153–188. February 2004. PDF, 366 Kbytes. External information

2003

• Mark-A. Krogel, Simon Rawles, Filip Zelezn�, Peter Flach, Nada Lavrač, Stefan Wrobel, Comparative evaluation of approaches to propositionalization. Proceedings of the 13th International Conference on Inductive Logic Programming (ILP'2003). Tamas Horvath, Akihiro Yamamoto, (eds.). ISBN 3-540-20144-0, pp. 194–217. October 2003. PDF, 171 Kbytes.
• Cesar Ferri, Peter A. Flach, Jose Hernandez-Orallo, Improving the AUC of Probabilistic Estimation Trees. Proceedings of the 14th European Conference on Machine Learning. ISBN 3-540-20121-1, pp. 121–132. September 2003. PDF, 256 Kbytes.
• Elias Gyftodimos, Peter Flach, Learning Hierarchical Bayesian Networks for Human Skill Modelling. Proceedings of the 2003 UK Workshop on Computational Intalligence (UKCI-2003). Jonathan Rossiter, Trevor Martin, (eds.). ISSN 0862925371, pp. 55–62. September 2003. PDF, 79 Kbytes.
• Elias Gyftodimos, Peter Flach, Hierarchical Bayesian Networks: an Approach to Classification and Learning for Structured Data. Proceedings of the ECML/PKDD - 2003 Workshop on Probablistic Graphical Models for Classification. ISBN 953-6690-36-5, pp. 25–36. September 2003. PDF, 73 Kbytes.
• Thomas Gaertner, Peter Flach, Stefan Wrobel, On Graph Kernels: Hardness Results and Efficient Alternatives. Proceedings of the 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop. ISBN 3-540-40720-0 , pp. 129–143. August 2003. PDF, 196 Kbytes.
• P.A. Flach, S. Wu, Repairing concavities in ROC curves. Proc. 2003 UK Workshop on Computational Intelligence, pp. 38–44. August 2003. PDF, 309 Kbytes.
• Johannes Furnkranz, Peter Flach, An Analysis of Rule Learning Heuristics. CSTR-03-002, Department of Computer Science, University of Bristol. February 2003. PDF, 178 Kbytes.
• N. Lachiche, P.A. Flach, Improving accuracy and cost of two-class and multi-class probabilistic classifiers using ROC curves. Proc. 20th International Conference on Machine Learning (ICML'03). ISBN 1-57735-189-4, pp. 416–423. January 2003. PDF, 107 Kbytes. External information
• J. Furnkranz, P.A. Flach, An analysis of rule evaluation metrics. Proc. 20th International Conference on Machine Learning (ICML'03). ISBN 1-57735-189-4, pp. 202–209. January 2003. PDF, 153 Kbytes. External information
• P.A. Flach, The geometry of ROC space: understanding machine learning metrics through ROC isometrics. Proc. 20th International Conference on Machine Learning (ICML'03). ISBN 1-57735-189-4, pp. 194–201. January 2003. PDF, 1055 Kbytes. External information
• P.A. Flach, N. Lavrac, Rule Induction. Chapter in Intelligent Data Analysis: An Introduction. ISBN 3-540-43060-1, pp. 229–267. January 2003. No electronic version available.
• P.A. Flach, L. Todorovski, L. Torgo, H. Blockeel, D. Wettschereck, S. Wu, T. Gartner, M. Grobelnik, B. Kavsek, M. Kejkula, D. Krzywania, D. Mladenic, N. Lavrac, P. Ljubic, S. Moyle, S. Raeymaekers, J. Rauch, S. Rawles, R. Ribeiro, G. Sclep, J. Struyf, On the road to knowledge: mining 21 years of UK traffic accident reports. Chapter in Data Mining and Decision Support: Aspects of Integration and Collaboration. ISBN 1-4020-7388-7, pp. 143–155. January 2003. No electronic version available. External information
• P.A. Flach, H. Blockeel, C. Ferri, J. Hernandez-Orallo, J. Struyf, Decision support for data mining: introduction to ROC analysis and its application. Chapter in Data Mining and Decision Support: Aspects of Integration and Collaboration. ISBN 1-4020-7388-7, pp. 81–90. January 2003. PDF, 104 Kbytes. External information

2002

• Nada Lavrac, Peter Flach, Brank Kavsek, Ljupco Todorovski, Adapting classification rule induction to subgroup discovery. Proceedings of the 2002 IEEE International Conference on Data Mining. V. Kumar et al. , (eds.). ISBN 0-7695-1754-4, pp. 266–273. December 2002. No electronic version available.
• S. Wu, P. A. Flach, Model selection for dynamic processes. ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning. M. Bohanec, B. Kasek, N. Lavrac, D. Mladenic, (eds.), pp. 168–173. August 2002. No electronic version available.
• S. Wu, P. A. Flach, Feature selection with labelled and unlabelled data. ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning. M. Bohanec, B. Kasek, N. Lavrac, D. Mladenic, (eds.), pp. 156–167. August 2002. No electronic version available.
• Y. Peng, P. A. Flach, P. Brazdil, C. Soares, Decision tree-based characterization for meta-learning. ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning. M. Bohanec, B. Kasek, N. Lavrac, D. Mladenic, (eds.), pp. 111–122. August 2002. No electronic version available.
• N. Lavrac, P. A. Flach, B. Kasek, L. Todorovski, Rule induction for subgroup discovery with CN2-SD. ECML/PKDD'02 workshop on Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning. M. Bohanec, B. Kasek, N. Lavrac, D. Mladenic, (eds.), pp. 77–87. August 2002. No electronic version available.
• Nada Lavrac, Filip Zelezny, Peter A/ Flach, RSD: Relational Subgroup Discovery through First-Order Feature Construction. Proceedings of the 12th International Conference on Inductive Logic Programming. ISBN 3-540-00567-6, pp. 149–165. July 2002. PDF, 228 Kbytes.
• Thomas Gaertner, John W. Lloyd, Peter A. Flach, Kernels for Structured Data. Proceedings of the 12th International Conference on Inductive Logic Programming. ISBN 3-540-00567-6 , pp. 66–83. July 2002. PDF, 215 Kbytes.
• N. Lachiche, P.A. Flach, 1BC2: a true first-order Bayesian classifier. Proceedings of the 12th International Conference on Inductive Logic Programming, pp. 133–148. July 2002. PDF, 227 Kbytes.
• Thomas Gartner, Peter A. Flach, Adam Kowalczyk, Alex J. Smola, Multi-Instance Kernels. Proceedings of the 19th International Conference on Machine Learning. Claude Sammut, Achim Hoffmann, (eds.). ISBN 1-55860-873-7, pp. 179–186. July 2002. No electronic version available.
• Cesar Ferri, Peter Flach, Jose Hernandez-Orallo, Learning Decision Trees Using the Area Under the ROC Curve. Proceedings of the 19th International Conference on Machine Learning. Claude Sammut, Achim Hoffmann, (eds.). ISBN 1-55860-873-7, pp. 139–146. July 2002. PDF, 685 Kbytes.
• Elias Gyftodimos, Peter Flach, Hierarchical Bayesian Networks: A Probabilistic Reasoning Model for Structured Domains. Proceedings of the ICML-2002 Workshop on Development of Representations. Edwin de Jong, Tim Oates, (eds.). ISSN 0733419348, pp. 23–30. July 2002. PDF, 181 Kbytes.
• Peter Flach, Nada Lavrac, Learning in Clausal Logic: A Perspective on Inductive Logic Programming. Chapter in Computational Logic: Logic Programming and Beyond (Essays in Honour of Robert A. Kowalski). Antonis C. Kakas, Fariba Sadri, (eds.). ISBN 3 540 43959 5, pp. 437–471. June 2002. PDF, 366 Kbytes. External information
• Y. Peng, P.A. Flach, C. Soares, P. Brazdil, Improved data set characterisation for meta-learning. Proc. 5th International Conference on Discovery Science (DS-02). ISBN 3-540-00188-3, pp. 141–152. January 2002. PDF, 116 Kbytes. External information
• T. Urbancic, M. Skrjanc, P.A. Flach, Web-based analysis of data mining and decision support education. AI Communications, 15, pp. 199–204. January 2002. No electronic version available. External information
• Peter A. Flach, Modern Logic and its Role in the Study of Knowledge. Chapter in A Companion to Philosophical Logic. Dale Jacquette, (eds.). ISBN 0-631-21671-5, pp. 680–693. January 2002. PDF, 259 Kbytes.

2001

• Nada Lavrac, Peter A. Flach, An extended transformation approach to inductive logic programming. ACM Transactions on Computational Logic, 2 (4). ISSN 1529-3785, pp. 458–494. October 2001. PDF, 303 Kbytes. External information
• Peter A. Flach, On the state of the art in machine learning: A personal review. Artificial Intelligence, 13 (1/2). ISSN 0004-3702, pp. 199–222. September 2001. PDF, 177 Kbytes. External information
• Y. Peng, P. Flach, Soft Discretization to Enhance the Continuous Decision Tree Induction. Integrating Aspects of Data Mining, Decision Support and Meta-Learning. Christophe Giraud-Carrier, Nada Lavrac, Steve Moyle, (eds.), pp. 109–118. September 2001. No electronic version available. External information
• Thomas Gartner, Shaomin Wu, Peter A. Flach, Data Mining on the Sisyphus Dataset: Evaluation and Integration of Results. Integrating Aspects of Data Mining, Decision Support and Meta-Learning. Christophe Giraud-Carrier, Nada Lavrac, Steve Moyle, (eds.), pp. 69–80. September 2001. No electronic version available. External information
• Peter A. Flach, Dragan Gamberger, Subgroup evaluation and decision support for a direct mailing marketing problem. Integrating Aspects of Data Mining, Decision Support and Meta-Learning. Christophe Giraud-Carrier, Nada Lavrac, Steve Moyle, (eds.), pp. 45–56. September 2001. PDF, 112 Kbytes. External information
• Peter Flach, Saso Dzeroski, Editorial: Inductive Logic Programming is Coming of Age. Machine Learning, 43 (3). ISSN 0885-6125, pp. 207–209. September 2001. PDF, 32 Kbytes. External information
• Ljupco Todorovski, Irene Weber, Nada Lavrac, Olga Stepankova, Saso Dzeroski, Dimitar Kazakov, Darko Zupanic, Peter Flach, Internet Resources on ILP for KDD. Chapter in Relational Data Mining. Saso Dzeroski, Nada Lavrac, (eds.). ISBN 3-540-42289-7, pp. 375–388. September 2001. No electronic version available. External information
• Stefan Kramer, Nada Lavrac, Peter Flach, Propositionalization Approaches to Relational Data Mining. Chapter in Relational Data Mining. Saso Dzeroski, Nada Lavrac, (eds.). ISBN 3-540-42289-7, pp. 262–291. September 2001. No electronic version available. External information
• Thomas Gaertner, Peter A. Flach, WBC_SVM: Weighted Bayesian Classification based on Support Vector Machines. Proceedings of the Eighteenth International Conference on Machine Learning. Carla E. Brodley, Andrea Pohoreckyj Danyluk, (eds.), pp. 207–209. June 2001. PDF, 73 Kbytes.
• Peter A. Flach, Nicolas Lachiche, Confirmation-Guided Discovery of First-Order Rules with Tertius. Machine Learning, 42 (1/2). ISSN 0885-6125, pp. 61–95. January 2001. PDF, 147 Kbytes.

2000

• Peter A. Flach, On the state of the art in Machine Learning: a personal review. CSTR-00-018, Department of Computer Science, University of Bristol. December 2000. PDF, 120 Kbytes.
• Iztok Savnik, Peter A. Flach, Discovery of multivalued dependencies from relations. Intelligent Data Analysis, 4 (3,4). ISSN 1088-467X, pp. 195–211. November 2000. PDF, 276 Kbytes.
• Peter A. Flach, Logical characterisations of inductive learning. Chapter in Handbook of defeasible reasoning and uncertainty management systems, Vol. 4: Abductive reasoning and learning. Dov M. Gabbay, Rudolf Kruse, (eds.). ISBN 0-7923-6565-8, pp. 155–196. October 2000. PDF, 510 Kbytes.
• Peter A. Flach, Antonis C. Kakas, On the relation between abduction and inductive learning. Chapter in Handbook of defeasible reasoning and uncertainty management systems, Vol. 4: Abductive reasoning and learning. Dov M. Gabbay, Rudolf Kruse, (eds.). ISBN 0-7923-6565-8, pp. 5–36. October 2000. PDF, 541 Kbytes.
• Nicolas Lachiche, Peter Flach, A First-order Representation for Knowledge Discovery and Bayesian Classification on Relational Data. PKDD2000 workshop on Data Mining, Decision Support, Meta-learning and ILP : Forum for Practical Problem Presentation and Prospective Solutions. Pavel Brazdil, Alipio Jorge, (eds.), pp. 49–60. September 2000. PDF, 45 Kbytes.
• Peter A. Flach, The use of functional and logic languages in machine learning. Ninth International Workshop on Functional and Logic Programming (WFLP2000)�. Maria Alpuente, (eds.), pp. 225–237. September 2000. PDF, 66 Kbytes.
• Ljupco Todorovski, Peter Flach, Nada Lavrac, Predictive Performance of Weighted Relative Accuracy. 4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000). Djamel A. Zighed, Jan Komorowski, Jan Zytkow, (eds.). ISBN 3-540-41066-X, pp. 255–264. September 2000. PDF, 161 Kbytes. External information
• Peter Flach, Antonis Kakas, The cycle of abductive and inductive knowledge development. Proceedings of the Machine Intelligence 17 workshop. K. Furukawa, S. Muggleton, D. Michie, L. De Raedt, (eds.), pp. 17–24. July 2000. PDF, 42 Kbytes.
• Peter A. Flach, Nada Lavrac, The role of feature construction in inductive rule learning. Proceedings of the ICML2000 workshop on Attribute-Value and Relational Learning: crossing the boundaries. Luc De Raedt, Stefan Kramer, (eds.), pp. 1–11. July 2000. PDF, 64 Kbytes.
• Peter A. Flach, Nicolas Lachiche, Decomposing probability distributions on structured individuals. Work-in-Progress Reports of the 10th International Conference on Inductive Logic Programming. James Cussens, Alan Frisch, (eds.), pp. 96–106. July 2000. PDF, 69 Kbytes.
• Peter A. Flach, Nicolas Lachiche, Decomposing probability distributions on structured individuals. Proceedings of the ECML2000 workshop on Dealing with Structured Data in Machine Learning and Statistics. Paula Brito, Joaquim Costa, Donato Malerba, (eds.), pp. 33–43. May 2000. PDF, 68 Kbytes.
• Peter A. Flach, On the logic of hypothesis generation. Chapter in Abduction and induction: essays on their relation and integration. Peter A. Flach, Antonis C. Kakas, (eds.). ISBN 0-7923-6250-0, pp. 89–106. April 2000. No electronic version available. External information
• Peter A. Flach, Antonis C. Kakas, Abductive and inductive reasoning: background and issues. Chapter in Abduction and induction: essays on their relation and integration. Peter A. Flach, Antonis C. Kakas, (eds.). ISBN 0-7923-6250-0, pp. 1–27. April 2000. No electronic version available. External information
• Abduction and Induction: Essays on their relation and integration. Peter A. Flach, Antonis C. Kakas, (eds.). Kluwer Academic Publishers. ISBN 0-7923-6250-0. April 2000. No electronic version available. External information
• Ljupco Todorovski, Peter Flach, Nada Lavrac, A report on experiments with weighted relative accuracy in CN2. CSTR-00-003, Department of Computer Science, University of Bristol. March 2000. PDF, 202 Kbytes.
• Nada Lavrac, Peter Flach, An extended transformation approach to Inductive Logic Programming. CSTR-00-002, Department of Computer Science, University of Bristol. March 2000. PDF, 166 Kbytes.

1999

• Peter A. Flach, Iztok Savnik, Database dependency discovery: a machine learning approach. AI Communications, 12 (3). ISSN 0921-7126, pp. 139–160. November 1999. No electronic version available. External information
• Peter A. Flach, Knowledge representation for inductive learning. Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'99). Anthony Hunter, Simon Parsons, (eds.). ISBN 3-540-66131-X, pp. 160–167. July 1999. No electronic version available. External information
• Proceedings of the Ninth International Workshop on Inductive Logic Programming (ILP'99). S. Dzeroski, P. Flach, (eds.). Springer-Verlag. ISBN 3-54066-109-3. June 1999. No electronic version available. External information
• N. Lavrac, P. Flach, B. Zupan, Rule Evaluation Measures: A Unifying View. Ninth International Workshop on Inductive Logic Programming (ILP'99). S. Dzeroski, P. Flach, (eds.). ISBN 3-54066-109-3, pp. 174–185. June 1999. PDF, 142 Kbytes. External information
• P. Flach, N. Lachiche, 1BC: A First-Order Bayesian Classifier. Ninth International Workshop on Inductive Logic Programming (ILP'99). S. Dzeroski, P. Flach, (eds.). ISBN 3-54066-109-3, pp. 92–103. June 1999. PDF, 573 Kbytes. External information
• Peter A. Flach, Nada Lavrac, Blaz Zupan, Decompositions, dependencies, and Bayesian networks. CSTR-99-001, Department of Computer Science, University of Bristol. February 1999. PDF, 21 Kbytes.

1998

• Peter Flach, From extensional to intensional knowledge: Inductive Logic Programming techniques and their application to deductive databases. Chapter in Transactions and Change in Logic Databases. B. Freitag, H. Decker, M. Kifer, A. Voronkov, (eds.). ISBN 3-540-65305-8, pp. 356–387. December 1998. PDF, 452 Kbytes. External information
• Peter A. Flach, Antonis Kakas, . , . August 1998. No electronic version available. External information
• Peter A. Flach, Antonis Kakas, Abduction and Induction in AI: Report of the IJCAI�97 workshop. Logic Journal of the Interest Group on Pure and Applied Logic, 6 (4). ISSN 1367-0751, pp. 651–656. July 1998. No electronic version available. External information
• P. A. Flach, C. Giraud-Carrier, J. W. Lloyd, Strongly Typed Inductive Concept Learning. 8th International Conference on Inductive Logic Programming (ILP-98). ISBN 3-540-64738-4, pp. 185–194. July 1998. No electronic version available. External information
• Peter Flach, The logic of learning: a brief introduction to Inductive Logic Programming. Proceedings of the CompulogNet Area Meeting on Computational Logic and Machine Learning, pp. 1–17. June 1998. PDF, 72 Kbytes.
• Peter Flach, Comparing consequence relations. Principles of Knowledge Representation and Reasoning: Proceedings of the Sixth International Conference (KR'98). ISBN 1-55860-554-1, pp. 180–189. June 1998. PDF, 71 Kbytes.

1997

• Peter A. Flach, Inductive Logic Databases: from extensional to intensional knowledge. 5th International Conference on Deductive and Object-Oriented Databases (DOOD'97). F. Bry, R. Ramakrishnan, K. Ramamohanarao, (eds.). ISBN 3-540-63792-3, pp. 3–3. December 1997. No electronic version available.
• Peter A. Flach, Nicolas Lachiche, Cooking up integrity constraints with PRIMUS (preliminary report). CSTR-97-009, Department of Computer Science, University of Bristol. December 1997. PDF, 68 Kbytes.
• Peter A. Flach, Nada Lavrac, Proceedings of the CompulogNet Area Meeting on Representation issues in reasoning and learning. CSTR-97-005, Department of Computer Science, University of Bristol. September 1997. No electronic version available. External information
• Peter A. Flach, Normal forms for Inductive Logic Programming. Proceedings of the 7th International Workshop on Inductive Logic Programming. ISBN 3-540-63514-9, pp. 149–156. September 1997. PDF, 36 Kbytes.
• Peter A. Flach, Antonis Kakas, Abductive and inductive reasoning: report of the ECAI'96 workshop. Logic Journal of the Interest Group on Pure and Applied Logic, 5 (5). ISSN 1367-0751, pp. 773–778. September 1997. No electronic version available. External information
• Peter A. Flach, Antonis Kakas, Proceedings of the IJCAI'97 workshop on Abduction and Induction in AI. CSTR-97-004, Department of Computer Science, University of Bristol. August 1997. No electronic version available. External information
• Peter A. Flach, Comparing consequence relations. Proceedings of the Third Dutch/German Workshop on Nonmonotonic Reasoning Techniques and their Applications. ISSN 0946-011X, pp. 130–138. January 1997. No electronic version available.

1996

• Peter A. Flach, Abduction and induction: syllogistic and inferential perspectives. Proceedings of the ECAI'96 workshop on Abductive and Inductive Reasoning. Peter A. Flach, Antonis Kakas, (eds.), pp. 31–35. August 1996. No electronic version available. External information
• Peter A. Flach, Antonis Kakas, . , . August 1996. No electronic version available. External information
• Peter Flach, Rationality postulates for induction. Rationality and Knowledge: Proceedings of the Sixth Conference (TARK 1996). ISBN 1-55860-417-0, pp. 267–281. March 1996. PDF, 49 Kbytes.

1995

• Peter Flach, Conjectures -- an inquiry concerning the logic of induction. Institute for Language Technology and Artificial Intelligence. ISBN 90-9008119-4. April 1995. No electronic version available. External information

1994

• Peter Flach, Simply Logical. John Wiley. ISBN 0-471-94152-2. April 1994. No electronic version available. External information

1991

• Future directions in Artificial Intelligence. P. A. Flach, R. A. Meersman, (eds.). North-Holland. ISBN 0 444 89048 3. March 1991. No electronic version available.