Peter Flach

Q: What Schools Are Affiliated With Peter Flach

Peter Flach is affiliated with the following schools: University of Manchester, Radboud University Nijmegen, University of Groningen, University of Bristol, Tilburg University, University of Amsterdam, University of Twente

Peter Flach's AcademicInfluence.com Rankings

Computer Science

#1189

World Rank

#1311

Historical Rank

Artificial Intelligence

#294

World Rank

#325

Historical Rank

Database

#1462

World Rank

#1608

Historical Rank

computer-science Degrees

Why Is Peter Flach Influential?

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According to Wikipedia, Pieter Adriaan Flach is a Dutch computer scientist and a Professor of Artificial Intelligence in the Department of Computer Science at the University of Bristol. He is author of the acclaimed Simply Logical: Intelligent Reasoning by Example and Machine Learning: the Art and Science of Algorithms that Make Sense of Data .

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Peter Flach's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Papers

On Graph Kernels: Hardness Results and Efficient Alternatives (2003) (937)
Machine Learning - The Art and Science of Algorithms that Make Sense of Data (2012) (829)
Evaluation Measures for Multi-class Subgroup Discovery (2009) (773)
Multi-Instance Kernels (2002) (545)
Rule Evaluation Measures: A Unifying View (1999) (446)
Abduction and Induction (2000) (424)
Subgroup Discovery with CN2-SD (2004) (411)
First-Order Logic (2018) (369)
Learning Decision Trees Using the Area Under the ROC Curve (2002) (356)
Propositionalization approaches to relational data mining (2001) (336)
Proceedings of the 28th International Conference on Machine Learning (2011) (318)
The Geometry of ROC Space: Understanding Machine Learning Metrics through ROC Isometrics (2003) (304)
ROC ‘n’ Rule Learning—Towards a Better Understanding of Covering Algorithms (2005) (259)
A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance (2011) (217)
Bridging e-Health and the Internet of Things: The SPHERE Project (2015) (214)
Precision-Recall-Gain Curves: PR Analysis Done Right (2015) (205)
Abduction and induction: essays on their relation and integration (2000) (200)
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration (2019) (199)
FACE: Feasible and Actionable Counterfactual Explanations (2019) (197)
A unified view of performance metrics: translating threshold choice into expected classification loss (2012) (197)
Database Dependency Discovery: A Machine Learning Approach (1999) (190)
Explainability fact sheets: a framework for systematic assessment of explainable approaches (2019) (181)
Machine Learning: ECML 2001 (2001) (180)
Improved Dataset Characterisation for Meta-learning (2002) (159)
Naive Bayesian Classification of Structured Data (2004) (158)
Kernels and Distances for Structured Data (2004) (158)
Confirmation-Guided Discovery of First-Order Rules with Tertius (2004) (156)
Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves (2003) (155)
Comparative Evaluation of Approaches to Propositionalization (2003) (152)
ROC Analysis (2010) (149)
Advances in Neural Information Processing Systems 28 (2015) (131)
Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned (2004) (121)
ILP turns 20 (2011) (119)
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers (2017) (118)
An Analysis of Rule Evaluation Metrics (2003) (116)
IBC: A First-Order Bayesian Classifier (1999) (107)
A Comprehensive Study of Activity Recognition Using Accelerometers (2018) (105)
Improving the AUC of Probabilistic Estimation Trees (2003) (104)
An extended transformation approach to inductive logic programming (2001) (102)
Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data (2016) (98)
Bottom-up induction of functional dependencies from relations (1993) (95)
Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them) (2012) (93)
Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test (2016) (91)
A Response to Webb and Ting’s On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions (2005) (88)
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories (2021) (86)
Delegating classifiers (2004) (84)
Brier Curves: a New Cost-Based Visualisation of Classifier Performance (2011) (84)
RSD: Relational Subgroup Discovery through First-Order Feature Construction (2002) (83)
Simply logical - intelligent reasoning by example (1994) (80)
Computational support for academic peer review (2017) (79)
MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization (2015) (77)
Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome (2017) (77)
Abductive and inductive reasoning: background and issues (2000) (76)
Machine Learning: Frontmatter (2012) (75)
ILP turns 20 - Biography and future challenges (2012) (75)
SPHERE: A sensor platform for healthcare in a residential environment (2017) (69)
Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward (2019) (69)
Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant (2018) (69)
Predictive Performance of Weghted Relative Accuracy (2000) (68)
One Explanation Does Not Fit All (2020) (68)
Predictive Performance of Weighted Relative Accuracy (2000) (66)
Distribution Calibration for Regression (2019) (66)
Proceedings of the 12th European Conference on Machine Learning (2001) (65)
Hierarchical Bayesian Networks: A Probabilistic Reasoning Model for Structured Domains (2002) (64)
Predicate Invention in Inductive Data Engineering (1993) (64)
Strongly Typed Inductive Concept Learning (1998) (64)
A Big Data platform for smart meter data analytics (2019) (61)
Hierarchical Bayesian Networks: An Approach to Classification and Learning for Structured Data (2004) (60)
Ukwabelana - An open-source morphological Zulu corpus (2010) (59)
On the state of the art in machine learning: A personal review (2001) (58)
Beyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibration (2017) (58)
Repairing Concavities in ROC Curves (2005) (58)
A Simple Lexicographic Ranker and Probability Estimator (2007) (57)
The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data (2016) (57)
Factors associated with first return to work and sick leave durations in workers with common mental disorders. (2012) (55)
Redundant feature elimination for multi-class problems (2004) (54)
Computational Support for Academic Peer Review: A Perspective from Artificial Intelligence (2016) (54)
Soft Discretization to Enhance the Continuous Decision Tree Induction (2001) (53)
Cost-sensitive boosting algorithms: Do we really need them? (2016) (52)
Smart homes, private homes? An empirical study of technology researchers’ perceptions of ethical issues in developing smart-home health technologies (2017) (52)
Conjectures: an inquiry concerning the logic of induction (1995) (51)
Rule induction (2003) (50)
ROCCER: An Algorithm for Rule Learning Based on ROC Analysis (2005) (49)
Counterfactual Explanations of Machine Learning Predictions: Opportunities and Challenges for AI Safety (2019) (49)
Inductive Logic Programming (2000) (48)
An Empirical Re-Examination of Weighted Voting for k-NN (1997) (48)
Subgroup Discovery in Smart Electricity Meter Data (2014) (47)
Discovery of multivalued dependencies from relations (2000) (46)
Novel tools to streamline the conference review process: experiences from SIGKDD'09 (2010) (45)
ROC curves in cost space (2013) (44)
Aspects of behavioral ecology ofSotalia guianensisin Sepetiba Bay, southeast Brazil (2008) (44)
Modifying ROC Curves to Incorporate Predicted Probabilities (2005) (42)
Decision Support for Data Mining (2003) (40)
Adapting classification rule induction to subgroup discovery (2002) (39)
Decision Tree-Based Data Characterization for Meta-Learning (2002) (39)
1BC2: A True First-Order Bayesian Classifier (2002) (39)
Encyclopedia of Machine Learning and Data Mining (2010) (38)
Rationality Postulates for Induction (1996) (37)
Abduction and induction: syllogistic and inferential perspectives (1996) (37)
The role of feature construction in inductive rule learning (2000) (36)
Machine learning to assist risk-of-bias assessments in systematic reviews (2015) (35)
Active transfer learning for activity recognition (2016) (33)
An Improved Model Selection Heuristic for AUC (2007) (33)
Feature Selection with Labelled and Unlabelled Data (2002) (33)
WBCsvm: Weighted Bayesian Classification based on Support Vector Machines (2001) (32)
bLIMEy: Surrogate Prediction Explanations Beyond LIME (2019) (32)
Unsupervised learning of sensor topologies for improving activity recognition in smart environments (2017) (31)
Rank Correlation (2010) (31)
Machine Learning (2012) (31)
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements (2018) (29)
The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI (2018) (28)
Rule induction for subgroup discovery with CN2-SD (2002) (28)
Patterns of dataset shift (2014) (27)
Abductive and Inductive Reasoning: Essays on their Relation and Integration (2000) (27)
Future directions in artificial intelligence (1991) (27)
Additional material for the Ukwabelana Zulu corpus (2010) (26)
LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion (2014) (26)
Feature Subset Selection (2020) (26)
Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration (2015) (26)
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems (2020) (25)
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency (2020) (25)
Estimations for the domination number of a graph (1990) (25)
LIMEtree: Interactively Customisable Explanations Based on Local Surrogate Multi-output Regression Trees (2020) (24)
ROC Analysis in Artificial Intelligence, 1st International Workshop, ROCAI-2004, Valencia, Spain, August 22, 2004 (2004) (24)
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009 (2009) (24)
Scored AUC Metrics for Classifier Evaluation and Selection (2005) (23)
On the relation between abduction and inductive learning (2000) (22)
Human Activity Recognition Based on Dynamic Active Learning (2020) (20)
The Work Role Functioning Questionnaire v2.0 Showed Consistent Factor Structure Across Six Working Samples (2017) (20)
Towards Automating Simulation-Based Design Verification Using ILP (2007) (20)
Inductive characterisation of database relations (1991) (20)
Classifier Calibration (2017) (19)
Learning the morphology of Zulu with different degrees of supervision (2008) (19)
From Extensional to Intensional Knowledge: Inductive Logic Programming Techniques and Their Application to Deductive Databases (1996) (19)
Logical characterisations of inductive learning (2000) (19)
On the logic of hypothesis generation (2000) (19)
PROMODES: A Probabilistic Generative Model for Word Decomposition (2009) (18)
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency (2019) (18)
β3-IRT: A New Item Response Model and its Applications (2019) (18)
Probabilistic reasoning with terms (2003) (17)
SubSift Web Services and Workflows for Profiling and Comparing Scientists and Their Published Works (2010) (17)
Morphology learning using tree of aligned suffix rules (2007) (17)
Presenteeism in a Dutch hand eczema population—a cross‐sectional survey (2018) (17)
Principles of Knowledge Representation and Reasoning: Proceedings ofg the Sixth International Conference (KR'98) (1998) (17)
Knowledge Representation for Inductive Learning (1999) (16)
Data Mining and Decision Support: Aspects of Integration and Collaboration (2003) (16)
Network analysis in natural sciences and engineering (2007) (16)
Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation (2018) (15)
Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals (2019) (15)
An Analysis of Stopping and Filtering Criteria for Rule Learning (2004) (15)
Data Mining for Decision Support (2003) (15)
Probabilistic Sensor Fusion for Ambient Assisted Living (2017) (15)
18th European Conference on Machine Learning (2007) (15)
Unsupervised Word Decomposition with the Promodes Algorithm (2009) (14)
Decision tree-based characterization for meta-learning (2002) (14)
On classification, ranking, and probability estimation (2007) (14)
Reframing in context: A systematic approach for model reuse in machine learning (2016) (14)
Working Notes for the CLEF 2009 Workshop, Corfu, Greece (2009) (14)
Towards Learning Morphology for Under-Resourced Fusional and Agglutinating Languages (2009) (13)
Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics (2015) (13)
Releasing eHealth Analytics into the Wild: Lessons Learnt from the SPHERE Project (2018) (13)
Multi-label Classification: A Comparative Study on Threshold Selection Methods (2014) (13)
UNGRADE: UNsupervised GRAph DEcomposition (2009) (13)
Decomposing Probability Distributions on Structured Individuals (2000) (13)
The logic of learning: a brief introduction to Inductive Logic Programming (1998) (13)
Decision Trees for Ranking: Effect of new smoothing methods, new splitting criteria and simple pruning methods (2003) (13)
ROCCER: A ROC convex hull rule learning algorithm (2004) (13)
Cooking up integrity constraints with PRIMUS (preliminary report) (1997) (12)
Using abduction for induction of normal logic programs (2006) (12)
Feature Reduction (2010) (12)
Proceedings of the 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop (2003) (12)
On the Road to Knowledge (2003) (12)
Identifying employees at risk for job loss during sick leave (2013) (12)
Ninth International Workshop on Inductive Logic Programming (ILP'99) (1999) (11)
Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy (2014) (11)
Classifier Calibration: How to assess and improve predicted class probabilities: a survey (2021) (11)
Activity recognition using conditional random field (2015) (11)
Alpha and beta components of diversity of freshwater nematodes at different spatial scales in subtropical coastal lakes (2012) (11)
The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004) (2004) (11)
Proceedings ECAI'96 workshop on Abductive and Inductive Reasoning (1996) (11)
Web-based analysis of data mining and decision support education (2002) (11)
Versatile Decision Trees for Learning Over Multiple Contexts (2015) (11)
Determinants of sick-leave duration: A tool for managers? (2008) (11)
Modern Logic and its Role in the Study of Knowledge (2007) (11)
Abduction and Induction in AI: Report of the IJCAI'97 Workshop (1998) (10)
An Analysis of Rule Learning Heuristics (2003) (10)
Bayesian Active Transfer Learning in Smart Homes (2015) (10)
Learning in Clausal Logic: A Perspective on Inductive Logic Programming (2002) (10)
Context modulation of Sensor Data Applied to Activity Recognition in Smart Homes (2014) (10)
Learning Multi-class Theories in ILP (2010) (10)
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence (2021) (10)
GLU: a software package for analysing continuously measured glucose levels in epidemiology (2020) (10)
Bayesian Active Learning with Evidence-Based Instance Selection (2015) (10)
Normal Forms for Inductive Logic Programming (1997) (9)
Canadian Conference on Artificial Intelligence (2009) (9)
A first-order representation for knowledge discovery and Bayesian classification on relational data (2007) (9)
Machine Learning by Peter Flach (2012) (9)
CASP-DM: Context Aware Standard Process for Data Mining (2017) (9)
Radial Basis Function Neural Networks (2010) (9)
PKDD2000 workshop on Data Mining, Decision Support, Meta-learning and ILP : Forum for Practical Problem Presentation and Prospective Solutions (2000) (9)
Subgroup Discovery with Proper Scoring Rules (2016) (8)
Anomaly detection in star light curves using hierarchical Gaussian processes (2018) (8)
Abduction, induction, and the logic of scientific knowledge development (2006) (7)
Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery (2020) (7)
Multi-label thresholding for cost-sensitive classification (2020) (7)
Multilingual Information Access Evaluation (2010) (7)
Physical activity phenotyping with activity bigrams, and their association with BMI (2017) (7)
Abduction, induction, and the logic of scientific knowledge development (2006) (7)
Unsupervised Morpheme Discovery with Ungrade (2009) (7)
ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home (2016) (7)
Combining Bayesian Networks with Higher-Order Data Representations (2005) (7)
Improved Distances for Structured Data (2003) (6)
Smooth Receiver Operating Characteristics (smROC) Curves (2011) (6)
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017) (2017) (6)
FACE (2020) (6)
Enhanced Word Decomposition by Calibrating the Decision Threshold of Probabilistic Models and Using a Model Ensemble (2010) (6)
An application of hierarchical Gaussian processes to the detection of anomalies in star light curves (2019) (6)
A Fast Method for Property Prediction in Graph-Structured Data from Positive and Unlabelled Examples (2008) (6)
Consistent Term Mappings, Term Partitions and Inverse Resolution (1991) (6)
A Higher-order data flow model for heterogeneous Big Data (2013) (6)
SubSift: a novel application of the vector space model to support the academic research process (2010) (6)
Abduction and Induction in Artificial Intelligence (2009) (6)
Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings (2001) (5)
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (2016) (5)
Analysis of Patient Domestic Activity in Recovery From Hip or Knee RePlacement Surgery: Modelling Wrist-worn Wearable RSSI and Accelerometer Data in The Wild (2018) (5)
Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning (2021) (5)
Subgroup evaluation and decision support for a direct mailing marketing problem (2001) (5)
Chapter 7 DECISION SUPPORT FOR DATA MINING An introduction to ROC analysis and its applications (2003) (5)
Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies (2021) (5)
What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components (2020) (5)
Rate-Constrained Ranking and the Rate-Weighted AUC (2014) (5)
Algorithms for Efficiently and Effectively Using Background Knowledge in Tertius (2006) (5)
Random Subspace Method (2010) (5)
Sick Leave Management Beyond Return to Work (2014) (5)
First-Order Bayesian Classification with 1BC (2007) (5)
Smart-Homes for eHealth: Uncertainty Management and Calibration (2015) (5)
Abductive and Inductive Reasoning: Report of the ECAI'96 Workshop (1997) (5)
Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms (2008) (5)
Transactions and Change in Logic Databases (1998) (5)
Uni- and multivariate probability density models for numeric subgroup discovery (2020) (5)
On the need for structure modelling in sequence prediction (2016) (5)
Knowledge Acquisition by Abduction for Skills Monitoring: Application to Surgical Skills (2016) (4)
A report on experiments with weighted relative accuracy in CN2 (2000) (4)
Model-Based Reinforcement Learning for Type 1 Diabetes Blood Glucose Control (2020) (4)
Software application profile: GLU: A tool for analysing continuously measured glucose in epidemiology (2018) (4)
Ratio Scale (2020) (4)
Relationship Extraction (2010) (4)
The Use of Functional and Logic Languages in Machine Learning (2000) (4)
Proceedings of the ECAI'98 Workshop on Abduction and Induction in AI (1998) (4)
An Analysis of Various Forms of "Jumping to Conclusions" (1992) (4)
Multi-dimensional ROC Analysis with Decision Trees * (2002) (4)
Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation (2007) (4)
Comparing Consequence Relations (1998) (4)
Second-order Inductive Learning (1989) (4)
Editorial: Inductive Logic Programming is Coming of Age (2001) (4)
Predicting Topics of Scientific Papers from Co-Authorship Graphs: a Case Study (2006) (4)
Workshop on Friend of a Friend, Social Networking and the Semantic Web (FOAF2004), Galway, Ireland (2004) (3)
Proceedings of the 3rd International Workshop on Evaluation Methods for Machine Learning (2008) (3)
Exploiting the High Predictive Power of Multi-class Subgroups (2010) (3)
Non-Parametric Calibration of Probabilistic Regression (2018) (3)
A Relational Algebra for Basic Terms in a Higher-Order Logic (2013) (3)
Workshop on Abduction and Induction in Ai and Scientific Modeling (2006) (3)
Towards a Theory of Inductive Logic Programming (1991) (3)
Threshold Choice Methods: the Missing Link (2011) (3)
Generic Multiplicative Methods for Implementing Machine Learning Algorithms on MapReduce (2011) (3)
Machine Learning and Knowledge Discovery in Databases (2012) (3)
Cost-Based Sampling of Individual Instances (2009) (3)
Inductive Logic Databases: From Extensional to Intensional Knowledge (1997) (3)
Fast Unsupervised Online Drift Detection (2016) (3)
Background Check: A General Technique to Build More Reliable and Versatile Classifiers (2016) (3)
Rate-Oriented Point-Wise Confidence Bounds for ROC Curves (2014) (3)
Internet Support to Collaboration (2003) (3)
A Sensor Platform for HEalthcare in a Residential Environment. Large-Scale Online Learning and Decision Making (2014) (3)
Towards Faithful and Meaningful Interpretable Representations (2020) (3)
A Model of Inductive Reasoning (1992) (3)
Technical Note: Towards ROC Curves in Cost Space (2011) (3)
Reframing in Frequent Pattern Mining (2015) (3)
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence Evolution of the contours of AI (2018) (3)
Machine learning and knowledge discovery in databases : European conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012 : proceedings (2012) (3)
Spoken Language Technology Workshop, 2008 (2008) (3)
Mining and Mapping the Research Landscape (2013) (3)
Learning Hierarchical Bayesian Networks for Human Skill Modelling (2003) (3)
BDL.NET: Bayesian dictionary learning in Infer.NET (2016) (3)
A Machine Learning Approach to Objective Cardiac Event Detection (2014) (2)
Dataset Shift Detection with Model-Based Subgroup Discovery (2015) (2)
Inductive Logic Programming : 9th International Workshop, ILP-99, Bled, Slovenia, June 1999 : Proceedings (1999) (2)
Concept learning from examples : Theoretical foundations (1989) (2)
A Linear Kernel on Strongly Typed Terms (2001) (2)
A new strategy for applying grammatical inference to image classification problems (2013) (2)
Setting decision thresholds when operating conditions are uncertain (2019) (2)
Multi-relational Data Mining: a perspective (2001) (2)
The Weak Supervision Landscape (2022) (2)
An active semi-supervised deep learning model for human activity recognition (2022) (2)
On the coherence of AUC (2011) (2)
Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing (2021) (2)
Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning (2021) (2)
The Advantages of Seed Examples in First-Order Multi-class Subgroup Discovery (2010) (2)
You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source (2021) (2)
Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014) (2015) (2)
Estimating whether partial FOAF descriptions describe the same individual (2004) (2)
A Weblog Recommender using Machine Learning and Semantic Web Technologies (2003) (2)
Context Aware Standard Process for Data Mining (2017) (2)
The Role of Textualisation and Argumentation in Understanding the Machine Learning Process (2017) (2)
Bypassing Gradients Re-Projection with Episodic Memories in Online Continual Learning (2020) (2)
A model of induction (1992) (2)
PETER A . FLACH LOGICAL CHARACTERISATIONS OF INDUCTIVE LEARNING (2000) (2)
4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD2000) (2000) (2)
Internet resources on ILP for KDD (2001) (2)
The role of explanations in inductive learning (1991) (2)
Regularization Networks (2010) (2)
Rotation Forests (2010) (2)
Machine Learning, 1{27 () a Rst-order Approach to Unsupervised Learning (2007) (2)
Polsar Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field (2020) (2)
The 20th International Conference on Inductive Logic Programming (ILP'10) (2010) (2)
$\beta^3$-IRT: A New Item Response Model and its Applications (2019) (1)
5th International Conference on Deductive and Object-Oriented Databases (DOOD'97); (1997) (1)
Representation Language (2010) (1)
First-Order Multi-class Subgroup Discovery (2010) (1)
Declaratively Capturing Local Label Correlations with Multi-Label Trees (2016) (1)
Connrmation-guided Discovery of Rst-order Rules with Tertius (2000) (1)
The dialectics of artificial intelligence (1991) (1)
48th Annual Meeting of the Association for Computational Linguistics (ACL 2010) (2010) (1)
HyperStream: a Workflow Engine for Streaming Data (2019) (1)
ROC Curve (2010) (1)
Random Decision Forests (2010) (1)
Machine learning experiments (2012) (1)
LIMEtree: Consistent and Faithful Surrogate Explanations of Multiple Classes (2020) (1)
False Negative (2010) (1)
The SPHERE Challenge (2016) (1)
Interpretable Representations in Explainable AI: From Theory to Practice (2020) (1)
ADL™: A Topic Model for Recognition of Activities of Daily Living in a SmartHome (2016) (1)
A simple concept learner and its implementation (1990) (1)
Bayesian Active Transfer Learning in Smart Homes, Advances in Active Learning: Bridging Theory and Practice (2015) (1)
LIMESegment: Meaningful, Realistic Time Series Explanations (2022) (1)
Beyond binary classification (2012) (1)
Decompositions, dependencies, and Bayesian networks (1999) (1)
Density, abundance and distribution of the guiana dolphin, (Sotalia guianensis van Benéden, 1864) in Sepetiba Bay, Southeast Brazil (2023) (1)
Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II (2012) (1)
When small disjuncts abound, try lazy learning (2007) (1)
Biography and future challenges (2011) (1)
Discriminative Representation Loss (DRL): A More Efficient Approach Than Gradient Re-projection in continual learning. (2020) (1)
Receiver Operating Characteristic Analysis (2010) (1)
BENELEARN-97 : Proceedings of the Seventh Belgian-Dutch Conference on Machine Learning (1997) (1)
ROC analysis of Kline & Kline data (2001) (1)
Machine Learning: The ingredients of machine learning (2012) (1)
Resubstitution Estimate (2010) (1)
JMLR Workshop and Conference Proceedings Volume 13: 2nd Asian Conference on Machine Learning (ACML'10) (2010) (1)
Machine learning and knowledge discovery in databases: ECML-PKDD Proceedings, Part II (2012) (1)
Future directions in artificial intelligence : IFIP TC12 Founding Workshop collected papers (1991) (0)
Multilingual Information Access Evaluation, Lecture Notes in Computer Science (2010) (0)
Introduction to the special issue on Data Science in Europe (2018) (0)
Simply Logical - Intelligent Reasoning by Example (Fully Interactive Online Edition) (2022) (0)
Setting decision thresholds when operating conditions are uncertain (2019) (0)
Model selection for dynamic processes (2002) (0)
Price , S . , & Flach , P . A . ( 2013 ) . A Relational Algebra for Basic Terms in a (2018) (0)
The 3rd York Doctoral Symposium on Computing (YDS'10) (2010) (0)
Proceedings of the 6th International Symposium on Intelligent Data Analysis (IDA'06) (2005) (0)
On the need for structure modelling in sequence prediction (2016) (0)
Ninth International Workshop on Functional and Logic Programming (WFLP2000) (2000) (0)
The 5th European Starting AI Researcher Symposium (STAIRS'10) (2010) (0)
ROC Convex Hull (2010) (0)
Recurrent Associative Memory (2010) (0)
Feedforward Recurrent Network (2010) (0)
Relational Value Iteration (2010) (0)
Gaussian Process Model Re-Use (2015) (0)
First-Order Regression Tree (2010) (0)
Machine Learning: References (2012) (0)
Sokol, K., & Flach, P. (2019). Counterfactual explanations of machine learning predictions: Opportunities and challenges for AI safety. In Proceedings of the AAAI Workshop on Artificial Intelligence Safety 2019: co-located with the Thirty-Third AAAI Conference on Artificial Intelligence (2019) (0)
Cost-sensitive boosting algorithms: Do we really need them? (2016) (0)
Randomized Decision Rule (2010) (0)
Invited keynote - 50th Anniversary resume, outlook and discussion: Classification society and data science (2014) (0)
Sixth IEEE International Conference on e-Science (e-Science 2010), Brisbane, Australia (2010) (0)
Multi-label classification by label clustering based on covariance (2015) (0)
Data Science in Europe (2018) (0)
Recognizing human activities with attention mechanism on multi-source sensor data (2022) (0)
ROC curves in cost space (2013) (0)
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA (2017) (0)
Empirical Evaluation of Predictive Models (2022) (0)
Real-Time Dynamic Programming (2010) (0)
ILP turns 20 (2011) (0)
Data mining for decision support: Supporting marketing decisions through subgroup discovery (2003) (0)
Guest editors’ introduction: special issue of selected papers from ECML-PKDD 2012 (2013) (0)
Reinforcement Learning in Structured Domains (2010) (0)
Logic for Learning: Learning Comprehensible Theories from Structured Data by John W. Lloyd, Springer-Verlag, 2003, hard cover: ISBN 3-540-42027-4, x + 256 pages (2004) (0)
Efficient probabilistic models for inference and learning Individual (2003) (0)
Multi-dimensional ROC Analysis with Decision Trees * Technical Report 17-Jan-2002 (2002) (0)
Report from Dagstuhl Seminar 14381 Neural-Symbolic Learning and Reasoning (2015) (0)
Introduction to the special issue on Data Science in Europe (2018) (0)
Continual Density Ratio Estimation in an Online Setting (2021) (0)
Machine Learning: Binary classification and related tasks (2012) (0)
Complex Networks: Results of the 1st International Workshop on Complex Networks (CompleNet 2009) (2009) (0)
Machine Learning: Distance-based models (2012) (0)
Relational Data Mining (2010) (0)
Relational Dynamic Programming (2010) (0)
Hybrid Multi-Label Decision Trees for Classification (2016) (0)
Logical approaches to Machine Learning---an overview (2007) (0)
Concept for a seminar series under the auspices of EuADS (2017) (0)
Continuous Adaptation with Online Meta-Learning for Non-Stationary Target Regression Tasks (2022) (0)
Machine Learning: Epilogue: Where to go from here (2012) (0)
Intelligent Systems Group University of Bristol Additional material for the Ukwabelana Zulu corpus (2010) (0)
Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making (2023) (0)
Reward Selection (2010) (0)
Toward Enhanced Clinical Decision Support for Patients Undergoing a Hip or Knee Replacement: Focus Group and Interview Study With Surgeons. (2023) (0)
A multi-sensor dataset with annotated activities of daily living recorded in a residential setting (2021) (0)
Reference Reconciliation (2009) (0)
Relational Regression Tree (2010) (0)
Recursive Partitioning (2010) (0)
Threshold Choice Methods (2011) (0)
SVR-based Modelling for the MoReBikeS Challenge: Analysis, Visualisation and Prediction (2015) (0)
Bottom-up Induction of Functional Dependencies fromRelationsIztok (1993) (0)
Morphosyntactic tagging of Slovene using Progol: 9th International Workshop on Inductive Logic Programming (ILP-99) (1999) (0)
Frequent Set (2010) (0)
Separating the wheat from the chaff with machine learning (2008) (0)
Data Mining on Thrombin Dataset (2002) (0)
Van de redactie (1968) (0)
Feature Extraction (2021) (0)
Guest editors’ introduction: special section of selected papers from ECML-PKDD 2012 (2013) (0)
Guest editors’ introduction: special issue of selected papers from ECML-PKDD 2012 (2013) (0)
Classifier Calibration: A survey on how to assess and improve predicted class probabilities (2021) (0)
Smart-Homes for eHealth (2015) (0)
Reinventing Machine Learning with ROC Analysis (2006) (0)
ICML Workshop on Challenges and Applications of Grammar Induction (2007) (0)
Sickness presenteeism in a Dutch hand eczema population : Presenteisme in een Nederlandse handeczeem populatie (2017) (0)
The Machine Learning journal: 25 years young (2011) (0)
Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation (invited talk) (2007) (0)
Random Subspaces (2010) (0)
1 BC : a First-Order Bayesian (1999) (0)
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), Porto, Portugal, September 7-11, 2015 (2015) (0)
Activity Recognition in Multiple Contexts for Smart-House Data (2016) (0)
Machine Learning: Important points to remember (2012) (0)
Smart homes, private homes? An empirical study of technology researchers’ perceptions of ethical issues in developing smart-home health technologies (2017) (0)
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations (2023) (0)
Semi-Discriminative Representation Loss for Online Continual Learning (2020) (0)
The Machine Learning journal: 250 issues and counting (2010) (0)
Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm (2022) (0)
Proceedings of the 9th International Workshop on Inductive Logic Programming (1999) (0)
Functional Trees (2010) (0)
Proceedings of the CompulogNet area meeting on representation issues in reasoning and learning (1997) (0)
Proceedings ot the 2006 UK Workshop on Computational Intelligence (UKCI2006) (2006) (0)
Model Reuse with Subgroup Discovery (2015) (0)
Twomey, N. J., & Flach, P. A. (2014). Context modulation of Sensor Data Applied to Activity Recognition in Smart Homes. Paper presented at European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014, Nancy, France (2014) (0)
Self-Enhancer: A Self-supervised Framework for Low-Supervision, Drifted Data with Significant Missing Values (2022) (0)
Song, H., & Flach, P. (2015). Model Reuse with Subgroup Discovery. In 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) (CEUR (2015) (0)
Guest editors’ introduction: special section of selected papers from ECML-PKDD 2012 (2013) (0)
First-Order Predicate Logic (2010) (0)
Conference Report: Abduction and Induction in AI; Logic, Proofs and Algorithms; Logic in Natural Language; Logic for Concurrency and Synchronisation (LOCUS) (1998) (0)
16th International Conference on Inductive Logic Programming (2006) (0)
4 Discussion panel 2 : Abduction and Induction – their relation and integration (2008) (0)
Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery (2020) (0)
Neighbourhoods of examples for detecting logical redundancy (2005) (0)
The 19th European Conference on Artificial Intelligence (ECAI'10) (2010) (0)
CompulogNet Area Meeting on Computational LOgic and Machine Learning (1998) (0)
Using Time Dependent Link Reduction to Improve the Efficiency of Topic Prediction in Co-Authorship Graphs (2009) (0)
Collecting Food and Drink Intake Data With Voice Input: Development, Usability, and Acceptability Study (2023) (0)
Prologue: A machine learning sampler (2012) (0)
Reflections on reciprocity in research (2020) (0)

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