activity
20112023
most citedNormalized Mutual Information to evaluate overlapping community finding algorithms

236 citations · 405 across the 31 of their papers we have counts for

collaborators

33 papers

cs.IR2023

Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender Systems

Eoghan Cunningham, Derek Greene, Barry Smyth

In the extensive recommender systems literature, novelty and diversity have been identified as key properties of useful recommendations. However, these properties have received lim…

cs.DL2023

Handwriting Analysis on the Diaries of Rosamond Jacob

Sharmistha S. Sawant, Saloni D. Thakare, Derek Greene +2

Handwriting is an art form that most people learn at an early age. Each person's writing style is unique with small changes as we grow older and as our mood changes. Here we analys…

cs.CL2023★ 8 cited

Curatr: A Platform for Semantic Analysis and Curation of Historical Literary Texts

Susan Leavy, Gerardine Meaney, Karen Wade +1

The increasing availability of digital collections of historical and contemporary literature presents a wealth of possibilities for new research in the humanities. The scale and di…

cs.LG2021★ 12 cited

Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions

Eoin Delaney, Derek Greene, Mark T. Keane

Whilst an abundance of techniques have recently been proposed to generate counterfactual explanations for the predictions of opaque black-box systems, markedly less attention has b…

cs.AI2021

Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation

Mark T Keane, Eoin M Kenny, Mohammed Temraz +2

Recently, it has been proposed that fruitful synergies may exist between Deep Learning (DL) and Case Based Reasoning (CBR); that there are insights to be gained by applying CBR ide…

cs.LG2020

Instance-based Counterfactual Explanations for Time Series Classification

Eoin Delaney, Derek Greene, Mark T. Keane

In recent years, there has been a rapidly expanding focus on explaining the predictions made by black-box AI systems that handle image and tabular data. However, considerably less…