Flach, Peter A.

53 publications

MLJ 2023 Classifier Calibration: A Survey on How to Assess and Improve Predicted Class Probabilities Telmo de Menezes e Silva Filho, Hao Song, Miquel Perelló-Nieto, Raúl Santos-Rodríguez, Meelis Kull, Peter A. Flach

MLJ 2020 Reflections on Reciprocity in Research Peter A. Flach

AAAI 2019 Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals Kacper Sokol, Peter A. Flach

AAAI 2019 Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward Peter A. Flach

IJCAI 2018 Analysis of Patient Domestic Activity in Recovery from Hip or Knee RePlacement Surgery: Modelling Wrist-Worn Wearable RSSI and Accelerometer Data in the Wild Mike Holmes, Hao Song, Emma Tonkin, Miquel Perelló-Nieto, Sabrina Grant, Peter A. Flach

IJCAI 2018 Conversational Explanations of Machine Learning Predictions Through Class-Contrastive Counterfactual Statements Kacper Sokol, Peter A. Flach

IJCAI 2018 Glass-Box: Explaining AI Decisions with Counterfactual Statements Through Conversation with a Voice-Enabled Virtual Assistant Kacper Sokol, Peter A. Flach

IJCAI 2018 The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI Fernando Martínez-Plumed, Bao Sheng Loe, Peter A. Flach, Seán Ó hÉigeartaigh, Karina Vold, José Hernández-Orallo

AISTATS 2017 Beta Calibration: A Well-Founded and Easily Implemented Improvement on Logistic Calibration for Binary Classifiers Meelis Kull, Telmo de Menezes e Silva Filho, Peter A. Flach

IJCAI 2017 The Role of Textualisation and Argumentation in Understanding the Machine Learning Process Kacper Sokol, Peter A. Flach

IJCAI 2016 ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home Yu Chen, Tom Diethe, Peter A. Flach

MLJ 2016 Cost-Sensitive Boosting Algorithms: Do We Really Need Them? Nikolaos Nikolaou, Narayanan Unny Edakunni, Meelis Kull, Peter A. Flach, Gavin Brown

MLJ 2016 On the Need for Structure Modelling in Sequence Prediction Niall Twomey, Tom Diethe, Peter A. Flach

ECML-PKDD 2016 Subgroup Discovery with Proper Scoring Rules Hao Song, Meelis Kull, Peter A. Flach, Georgios Kalogridis

ECML-PKDD 2015 Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics Tom Diethe, Niall Twomey, Peter A. Flach

ECML-PKDD 2015 Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration Meelis Kull, Peter A. Flach

ECML-PKDD 2015 Versatile Decision Trees for Learning over Multiple Contexts Reem Al-Otaibi, Ricardo B. C. Prudêncio, Meelis Kull, Peter A. Flach

ECML-PKDD 2014 Rate-Constrained Ranking and the Rate-Weighted AUC Louise A. C. Millard, Peter A. Flach, Julian P. T. Higgins

ECML-PKDD 2014 Rate-Oriented Point-Wise Confidence Bounds for ROC Curves Louise A. C. Millard, Meelis Kull, Peter A. Flach

ECML-PKDD 2014 Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy Meelis Kull, Peter A. Flach

MLJ 2013 Guest Editors' Introduction: Special Issue of Selected Papers from ECML-PKDD 2012 Tijl De Bie, Peter A. Flach

MLJ 2013 ROC Curves in Cost Space José Hernández-Orallo, Peter A. Flach, César Ferri

MLJ 2012 ILP Turns 20 - Biography and Future Challenges Stephen H. Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter A. Flach, Katsumi Inoue, Ashwin Srinivasan

ECML-PKDD 2012 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I Peter A. Flach, Tijl De Bie, Nello Cristianini

ECML-PKDD 2012 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part II Peter A. Flach, Tijl De Bie, Nello Cristianini

ICML 2011 A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance Peter A. Flach, José Hernández-Orallo, Cèsar Ferri Ramirez

ICML 2011 Brier Curves: A New Cost-Based Visualisation of Classifier Performance José Hernández-Orallo, Peter A. Flach, Cèsar Ferri Ramirez

ECML-PKDD 2011 Smooth Receiver Operating Characteristics (smROC) Curves William Klement, Peter A. Flach, Nathalie Japkowicz, Stan Matwin

MLJ 2011 The Machine Learning Journal: 25 Years Young Peter A. Flach

MLJ 2010 The Machine Learning Journal: 250 Issues and Counting Peter A. Flach

ECML-PKDD 2009 Evaluation Measures for Multi-Class Subgroup Discovery Tarek Abudawood, Peter A. Flach

MLJ 2005 A Response to Webb and Ting's on the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions Tom Fawcett, Peter A. Flach

MLJ 2005 ROC 'n' Rule Learning - Towards a Better Understanding of Covering Algorithms Johannes Fürnkranz, Peter A. Flach

IJCAI 2005 ROCCER: An Algorithm for Rule Learning Based on ROC Analysis Ronaldo C. Prati, Peter A. Flach

IJCAI 2005 Repairing Concavities in ROC Curves Peter A. Flach, Shaomin Wu

ECML-PKDD 2004 An Analysis of Stopping and Filtering Criteria for Rule Learning Johannes Fürnkranz, Peter A. Flach

MLJ 2004 Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned Nada Lavrac, Bojan Cestnik, Dragan Gamberger, Peter A. Flach

ICML 2004 Delegating Classifiers César Ferri, Peter A. Flach, José Hernández-Orallo

MLJ 2004 Kernels and Distances for Structured Data Thomas Gärtner, John W. Lloyd, Peter A. Flach

MLJ 2004 Naive Bayesian Classification of Structured Data Peter A. Flach, Nicolas Lachiche

ICML 2004 Redundant Feature Elimination for Multi-Class Problems Annalisa Appice, Michelangelo Ceci, Simon Alan Rawles, Peter A. Flach

ICML 2003 An Analysis of Rule Evaluation Metrics Johannes Fürnkranz, Peter A. Flach

ICML 2003 Improving Accuracy and Cost of Two-Class and Multi-Class Probabilistic Classifiers Using ROC Curves Nicolas Lachiche, Peter A. Flach

ECML-PKDD 2003 Improving the AUC of Probabilistic Estimation Trees César Ferri, Peter A. Flach, José Hernández-Orallo

COLT 2003 On Graph Kernels: Hardness Results and Efficient Alternatives Thomas Gärtner, Peter A. Flach, Stefan Wrobel

ICML 2003 The Geometry of ROC Space: Understanding Machine Learning Metrics Through ROC Isometrics Peter A. Flach

ICML 2002 Learning Decision Trees Using the Area Under the ROC Curve César Ferri, Peter A. Flach, José Hernández-Orallo

ICML 2002 Multi-Instance Kernels Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alexander J. Smola

MLJ 2001 Confirmation-Guided Discovery of First-Order Rules with Tertius Peter A. Flach, Nicolas Lachiche

MLJ 2001 Editorial: Inductive Logic Programming Is Coming of Age Peter A. Flach, Saso Dzeroski

ECML-PKDD 2001 Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings Luc De Raedt, Peter A. Flach

ICML 2001 WBCsvm: Weighted Bayesian Classification Based on Support Vector Machines Thomas Gärtner, Peter A. Flach

ECML-PKDD 1993 Predicate Invention in Inductive Data Engineering Peter A. Flach