activity
20072024
most citedData, Power and Bias in Artificial Intelligence

25 citations · 97 across the 22 of their papers we have counts for

collaborators

25 papers

cs.LO2024★ 1 cited

Towards Fast Algorithms for the Preference Consistency Problem Based on Hierarchical Models

Anne-Marie George, Nic Wilson, Barry O'Sullivan

In this paper, we construct and compare algorithmic approaches to solve the Preference Consistency Problem for preference statements based on hierarchical models. Instances of this…

cs.LO2024★ 7 cited

Computation and Complexity of Preference Inference Based on Hierarchical Models

Nic Wilson, Anne-Marie George, Barry O'Sullivan

Preference Inference involves inferring additional user preferences from elicited or observed preferences, based on assumptions regarding the form of the user's preference relation…

cs.AI2022★ 1 cited

Generation and Prediction of Difficult Model Counting Instances

Guillaume Escamocher, Barry O'Sullivan

We present a way to create small yet difficult model counting instances. Our generator is highly parameterizable: the number of variables of the instances it produces, as well as t…

cs.AI2022

SATfeatPy -- A Python-based Feature Extraction System for Satisfiability

Benjamin Provan-Bessell, Marco Dalla, Andrea Visentin +1

Feature extraction is a fundamental task in the application of machine learning methods to SAT solving. It is used in algorithm selection and configuration for solver portfolios an…

cs.AI2022★ 1 cited

Finding Counterfactual Explanations through Constraint Relaxations

Sharmi Dev Gupta, Begum Genc, Barry O'Sullivan

Interactive constraint systems often suffer from infeasibility (no solution) due to conflicting user constraints. A common approach to recover infeasibility is to eliminate the con…

cs.CR2020

Privacy Interpretation of Behavioural-based Anomaly Detection Approaches

Muhammad Imran Khan, Simon Foley, Barry O'Sullivan

This paper proposes the notion of 'Privacy-Anomaly Detection' and considers the question of whether behavioural-based anomaly detection approaches can have a privacy semantic inter…