1BC: A First-Order Bayesian Classifier

A Higher-order data flow model for heterogeneous Big Data

A Response to Webb and Ting?s On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions

article

Abduction and Induction in Artificial Intelligence

scientific article published in September 2009

Abductive and Inductive Reasoning: Background and Issues

Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation

scientific article published on 20 July 2018

Activity recognition using conditional random field

An Analysis of Stopping and Filtering Criteria for Rule Learning

An extended transformation approach to inductive logic programming

Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome

scholarly article published 10 August 2017

BDL.NET: Bayesian dictionary learning in Infer.NET

Background Check: A General Technique to Build More Reliable and Versatile Classifiers

Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics

Beyond sigmoids: How to obtain well-calibrated probabilities from binary classifiers with beta calibration

Bridging e-Health and the Internet of Things: The SPHERE Project

article

Caveats and pitfalls of ROC analysis in clinical microarray research (and how to avoid them)

article

Classifier Calibration

Combining Bayesian Networks with Higher-Order Data Representations

Computational support for academic peer review

article

Cost-Based Sampling of Individual Instances

article

Cost-sensitive boosting algorithms: Do we really need them?

Decision Support Through Subgroup Discovery: Three Case Studies and the Lessons Learned

Delegating classifiers

Evaluation Measures for Multi-class Subgroup Discovery

Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test

Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data

scientific article

First-Order Logic

Guest editors’ introduction: special issue of selected papers from ECML-PKDD 2012

Guest editors’ introduction: special section of selected papers from ECML-PKDD 2012

ILP turns 20

Improved Dataset Characterisation for Meta-learning

Kernels and Distances for Structured Data

article

Kernels for Structured Data

LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion

Learning Multi-class Theories in ILP

Learning the morphology of Zulu with different degrees of supervision

Logical Characterisations of Inductive Learning

article

MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization

scientific article

Machine learning to assist risk-of-bias assessments in systematic reviews.

scientific article

Modern Logic and its Role in the Study of Knowledge

Naive Bayesian Classification of Structured Data

article by Peter Flach & Nicolas Lachiche published December 2004 in Machine Learning

Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration

Novel tools to streamline the conference review process

article

On Graph Kernels: Hardness Results and Efficient Alternatives

On the Logic of Hypothesis Generation

On the Relation between Abduction and Inductive Learning

article

On the need for structure modelling in sequence prediction

On the state of the art in machine learning: A personal review

article

Physical activity phenotyping with activity bigrams, and their association with BMI.

scientific article

Propositionalization Approaches to Relational Data Mining

scholarly article published 2001

Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms

ROC ?n? Rule Learning?Towards a Better Understanding of Covering Algorithms

scholarly article by Johannes F�rnkranz & Peter Flach published January 2005 in Machine Learning

ROC Analysis

article

ROC curves in cost space

Rate-Constrained Ranking and the Rate-Weighted AUC

article by Louise A. C. Millard et al published 2014 in Lecture Notes in Computer Science

Rate-Oriented Point-Wise Confidence Bounds for ROC Curves

Redundant feature elimination for multi-class problems

Reframing in Frequent Pattern Mining

article

Reframing in context: A systematic approach for model reuse in machine learning

scholarly article by José Hernández-Orallo et al published 15 November 2016 in AI Communications

Reinventing Machine Learning with ROC Analysis

scholarly article by Peter Flach published 2006 in Lecture Notes in Computer Science

Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy

article

Report of the First International Workshop on Learning over Multiple Contexts (LMCE 2014)

Rule Induction

Second-order inductive learning

article by Peter Flach published 1989 in Lecture Notes in Computer Science

Setting decision thresholds when operating conditions are uncertain

Smart homes, private homes? An empirical study of technology researchers' perceptions of ethical issues in developing smart-home health technologies

scientific article

Smooth Receiver Operating Characteristics (smROC) Curves

article

SubSift Web Services and Workflows for Profiling and Comparing Scientists and Their Published Works

SubSift web services and workflows for profiling and comparing scientists and their published works

Subgroup Discovery in Smart Electricity Meter Data

Subgroup Discovery with Proper Scoring Rules

The 1st workshop on ROC analysis in artificial intelligence (ROCAI-2004)

scientific article published in December 2004

The Machine Learning journal: 25 years young

scholarly article by Peter Flach published 12 February 2011 in Machine Learning

The Machine Learning journal: 250 issues and counting

scholarly article by Peter Flach published 24 September 2010 in Machine Learning

Towards Learning Morphology for Under-Resourced Fusional and Agglutinating Languages

Unsupervised Morpheme Discovery with Ungrade

Unsupervised Word Decomposition with the Promodes Algorithm

article published in 2010

Unsupervised learning of sensor topologies for improving activity recognition in smart environments

Using Time Dependent Link Reduction to Improve the Efficiency of Topic Prediction in Co-Authorship Graphs

Versatile Decision Trees for Learning Over Multiple Contexts

article published in 2015