Peter A. Flach
Orcid: 0000-0001-6857-5810Affiliations:
- University of Bristol, Department of Computer Science, UK
- Tilburg University, The Netherlands
According to our database1,
Peter A. Flach
authored at least 213 papers
between 1989 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on scopus.com
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on orcid.org
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2024
Data Min. Knowl. Discov., September, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
J. Ambient Intell. Humaniz. Comput., October, 2023
Classifier calibration: a survey on how to assess and improve predicted class probabilities.
Mach. Learn., September, 2023
Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making.
Int. J. Hum. Comput. Stud., May, 2023
Proceedings of the Prolog: The Next 50 Years, 2023
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
Reconciling Training and Evaluation Objectives in Location Agnostic Surrogate Explainers.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
FAT Forensics: A Python toolbox for algorithmic fairness, accountability and transparency.
Softw. Impacts, December, 2022
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components.
Dataset, October, 2022
Simply Logical - Intelligent Reasoning by Example (Fully Interactive Online Edition).
Dataset, August, 2022
SIGIR Forum, June, 2022
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components.
CoRR, 2022
Simply Logical - Intelligent Reasoning by Example (Fully Interactive Online Edition).
CoRR, 2022
Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Self-Enhancer: A Self-supervised Framework for Low-Supervision, Drifted Data with Significant Missing Values.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories.
IEEE Trans. Knowl. Data Eng., 2021
IEEE J. Biomed. Health Informatics, 2021
Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies.
Proc. ACM Hum. Comput. Interact., 2021
Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing.
Int. J. Interact. Multim. Artif. Intell., 2021
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence.
CoRR, 2021
Classifier Calibration: How to assess and improve predicted class probabilities: a survey.
CoRR, 2021
CoRR, 2021
You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source.
CoRR, 2021
Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning.
Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021
2020
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems.
Dataset, May, 2020
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems.
J. Open Source Softw., 2020
Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery.
J. Heal. Informatics Res., 2020
Intell. Data Anal., 2020
CoRR, 2020
Bypassing Gradients Re-Projection with Episodic Memories in Online Continual Learning.
CoRR, 2020
LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees.
CoRR, 2020
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency.
CoRR, 2020
Polsar Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Explainability fact sheets: a framework for systematic assessment of explainable approaches.
Proceedings of the FAT* '20: Conference on Fairness, 2020
Proceedings of the First International AAI4H, 2020
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
2019
An application of hierarchical Gaussian processes to the detection of anomalies in star light curves.
Neurocomputing, 2019
Data Min. Knowl. Discov., 2019
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration.
CoRR, 2019
Beyond temperature scaling: Obtaining well-calibrated multi-class probabilities with Dirichlet calibration.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Counterfactual Explanations of Machine Learning Predictions: Opportunities and Challenges for AI Safety.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation.
Sensors, 2018
Informatics, 2018
Int. J. Data Sci. Anal., 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 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.
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Unsupervised learning of sensor topologies for improving activity recognition in smart environments.
Neurocomputing, 2017
Computational support for academic peer review: a perspective from artificial intelligence.
Commun. ACM, 2017
The Role of Textualisation and Argumentation in Understanding the Machine Learning Process.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data.
IEEE Trans. Ind. Informatics, 2016
AI Commun., 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 26th International Conference on Inductive Logic Programming (Short papers), 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Background Check: A General Technique to Build More Reliable and Versatile Classifiers.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
2015
Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014).
SIGKDD Explor., 2015
IEEE Intell. Syst., 2015
Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015
Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
SVR-based Modelling for the MoReBikeS Challenge: Analysis, Visualisation and Prediction.
Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 2nd international Workshop on Sensor-based Activity Recognition and Interaction, 2015
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
2014
IEEE Trans. Ind. Informatics, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014
Proceedings of the Eighth International Conference on Complex, 2014
2013
Mach. Learn., 2013
SubSift web services and workflows for profiling and comparing scientists and their published works.
Future Gener. Comput. Syst., 2013
Data Min. Knowl. Discov., 2013
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
2012
A unified view of performance metrics: translating threshold choice into expected classification loss.
J. Mach. Learn. Res., 2012
Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them).
Briefings Bioinform., 2012
Cambridge University Press, ISBN: 978-1-10-742222-3, 2012
2011
Generic Multiplicative Methods for Implementing Machine Learning Algorithms on MapReduce
CoRR, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance.
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
SubSift: a novel application of the vector space model to support the academic research process.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010
Proceedings of the 2nd Asian Conference on Machine Learning, 2010
Proceedings of the Inductive Logic Programming - 20th International Conference, 2010
Proceedings of the ECAI 2010, 2010
Proceedings of the COLING 2010, 2010
Enhanced Word Decomposition by Calibrating the Decision Threshold of Probabilistic Models and Using a Model Ensemble.
Proceedings of the ACL 2010, 2010
2009
Towards Learning Morphology for Under-Resourced Fusional and Agglutinating Languages.
IEEE Trans. Speech Audio Process., 2009
SIGKDD Explor., 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Using Time Dependent Link Reduction to Improve the Efficiency of Topic Prediction in Co-Authorship Graphs.
Proceedings of the Complex Networks, 2009
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009
Proceedings of the Multilingual Information Access Evaluation I. Text Retrieval Experiments, 2009
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009
Proceedings of the Multilingual Information Access Evaluation I. Text Retrieval Experiments, 2009
Proceedings of the Advances in Artificial Intelligence, 2009
2008
Proceedings of the 2008 IEEE Spoken Language Technology Workshop, 2008
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008
A Fast Method for Property Prediction in Graph-Structured Data from Positive and Unlabelled Examples.
Proceedings of the ECAI 2008, 2008
2007
Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007
2006
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
Proceedings of the Advances in Artificial Intelligence, 2006
2005
Mach. Learn., 2005
A Response to Webb and Ting's <i>On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions</i>.
Mach. Learn., 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Proceedings of the Advances in Intelligent Data Analysis VI, 2005
2004
Book review: Logic for Learning: Learning Comprehensible Theories from Structured Data by John W. Lloyd, Springer-Verlag, 2003, ISBN 3-540-42027-4.
Theory Pract. Log. Program., 2004
SIGKDD Explor., 2004
Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned.
Mach. Learn., 2004
Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004
Proceedings of the Machine Learning, 2004
Proceedings of the Machine Learning: ECML 2004, 2004
2003
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003
Proceedings of the Inductive Logic Programming: 13th International Conference, 2003
Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves.
Proceedings of the Machine Learning, 2003
The Geometry of ROC Space: Understanding Machine Learning Metrics through ROC Isometrics.
Proceedings of the Machine Learning, 2003
Proceedings of the Machine Learning: ECML 2003, 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
2002
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002
Multi-Instance Kernels.
Proceedings of the Machine Learning, 2002
Learning Decision Trees Using the Area Under the ROC Curve.
Proceedings of the Machine Learning, 2002
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
Proceedings of the Discovery Science, 5th International Conference, 2002
Proceedings of the Computational Logic: Logic Programming and Beyond, 2002
2001
ACM Trans. Comput. Log., 2001
WBCsvm: Weighted Bayesian Classification based on Support Vector Machines.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Proceedings of the Progress in Artificial Intelligence, 2001
2000
The Use of Functional and Logic Languages in Machine Learning.
Proceedings of the 9th International Workshop on Functional and Logic Programming, 2000
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Proceedings of the Inductive Logic Programming, 10th International Conference, 2000
1999
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999
Proceedings of the Inductive Logic Programming, 9th International Workshop, 1999
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1999
1998
Conference Report: Abduction and Induction in AI; Logic, Proofs and Algorithms; Logic in Natural Language; Logic for Concurrency and Synchronisation (LOCUS).
Log. J. IGPL, 1998
Comparing Consequence Relations.
Proceedings of the Sixth International Conference on Principles of Knowledge Representation and Reasoning (KR'98), 1998
Proceedings of the Inductive Logic Programming, 8th International Workshop, 1998
From Extensional to Intensional Knowledge: Inductive Logic Programming Techniques and Their Application to Deductive Databases.
Proceedings of the Transactions and Change in Logic Databases, 1998
1997
Log. J. IGPL, 1997
Proceedings of the Inductive Logic Programming, 7th International Workshop, 1997
Proceedings of the Deductive and Object-Oriented Databases, 5th International Conference, 1997
1996
Rationality Postulates for Induction.
Proceedings of the Sixth Conference on Theoretical Aspects of Rationality and Knowledge, 1996
1994
Simply logical - intelligent reasoning by example.
Wiley professional computing, Wiley, ISBN: 978-0-471-94152-1, 1994
1993
Proceedings of the Machine Learning: ECML-93, 1993
1992
Proceedings of the Knowledge Representation and Reasoning Under Uncertainty, 1992
Proceedings of the Analogical and Inductive Inference, 1992
1991
Proceedings of the Methodologies for Intelligent Systems, 6th International Symposium, 1991
Proceedings of the Machine Learning, 1991
1989
Proceedings of the Analogical and Inductive Inference, 1989