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05/22/2023
Unsupervised Anomaly Detection with Rejection
Anomaly detection aims at detecting unexpected behaviours in the data. B...
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01/07/2023
How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection
Anomaly detection attempts at finding examples that deviate from the exp...
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06/27/2022
Adversarial Example Detection in Deployed Tree Ensembles
Tree ensembles are powerful models that are widely used. However, they a...
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01/04/2022
Elastic Product Quantization for Time Series
Analyzing numerous or long time series is difficult in practice due to t...
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07/23/2021
Machine Learning with a Reject Option: A survey
Machine learning models always make a prediction, even when it is likely...
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04/07/2021
Leaving Goals on the Pitch: Evaluating Decision Making in Soccer
Analysis of the popular expected goals (xG) metric in soccer has determi...
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10/26/2020
Versatile Verification of Tree Ensembles
Machine learned models often must abide by certain requirements (e.g., f...
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01/31/2020
Additive Tree Ensembles: Reasoning About Potential Instances
Imagine being able to ask questions to a black box model such as "Which ...
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12/30/2019
A general anomaly detection framework for fleet-based condition monitoring of machines
Machine failures decrease up-time and can lead to extra repair costs or ...
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10/29/2019
Gait Event Detection in Tibial Acceleration Profiles: a Structured Learning Approach
Analysis of runner's data will often examine gait variables with referen...
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09/11/2019
LazyBum: Decision tree learning using lazy propositionalization
Propositionalization is the process of summarizing relational data into ...
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06/12/2019
Who Will Win It? An In-game Win Probability Model for Football
In-game win probability is a statistical metric that provides a sports t...
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11/12/2018
Learning From Positive and Unlabeled Data: A Survey
Learning from positive and unlabeled data or PU learning is the setting ...
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09/10/2018
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
Most positive and unlabeled data is subject to selection biases. The lab...
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08/27/2018
Learning from Positive and Unlabeled Data under the Selected At Random Assumption
For many interesting tasks, such as medical diagnosis and web page class...
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03/15/2018
PAC-Reasoning in Relational Domains
We consider the problem of predicting plausible missing facts in relatio...
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02/18/2018
Actions Speak Louder Than Goals: Valuing Player Actions in Soccer
Assessing the impact of the individual actions performed by soccer playe...
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09/18/2017
Relational Marginal Problems: Theory and Estimation
In the propositional setting, the marginal problem is to find a (maximum...
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05/19/2017
Induction of Interpretable Possibilistic Logic Theories from Relational Data
The field of Statistical Relational Learning (SRL) is concerned with lea...
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12/09/2016
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks
Managing patients with multimorbidity often results in polypharmacy: the...
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11/18/2016
Stratified Knowledge Bases as Interpretable Probabilistic Models (Extended Abstract)
In this paper, we advocate the use of stratified logical theories for re...
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06/03/2015
Encoding Markov Logic Networks in Possibilistic Logic
Markov logic uses weighted formulas to compactly encode a probability di...
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04/26/2015
Assessing binary classifiers using only positive and unlabeled data
Assessing the performance of a learned model is a crucial part of machin...
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02/04/2014
Lifted Variable Elimination: Decoupling the Operators from the Constraint Language
Lifted probabilistic inference algorithms exploit regularities in the st...
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06/04/2013
First-Order Decomposition Trees
Lifting attempts to speed up probabilistic inference by exploiting symme...
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08/19/2012
Lifted Variable Elimination: A Novel Operator and Completeness Results
Various methods for lifted probabilistic inference have been proposed, b...
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06/27/2012
Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events
Learning from electronic medical records (EMR) is challenging due to the...
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06/18/2012
