activity
20122021
most citedGenerating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

8 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DL2021★ 1 cited

Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research

Eoghan Cunningham, Barry Smyth, Derek Greene

The novel coronavirus SARS-CoV-2 and the COVID-19 illness it causes have inspired unprecedented levels of multidisciplinary research in an effort to address a generational public h…

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.CL2020★ 8 cited

Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

Linyi Yang, Eoin M. Kenny, Tin Lok James Ng +3

Corporate mergers and acquisitions (M&A) account for billions of dollars of investment globally every year, and offer an interesting and challenging domain for artificial intellige…

cs.IR2019★ 1 cited

Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach

Mansura A. Khan, Ellen Rushe, Barry Smyth +1

Food choices are personal and complex and have a significant impact on our long-term health and quality of life. By helping users to make informed and satisfying decisions, Recomme…

cs.IR2018★ 7 cited

RARD II: The 94 Million Related-Article Recommendation Dataset

Joeran Beel, Barry Smyth, Andrew Collins

The main contribution of this paper is to introduce and describe a new recommender-systems dataset (RARD II). It is based on data from Mr. DLib, a recommender-system as-a-service i…

cs.SI2012★ 6 cited

Aggregating Content and Network Information to Curate Twitter User Lists

Derek Greene, Gavin Sheridan, Barry Smyth +1

Twitter introduced user lists in late 2009, allowing users to be grouped according to meaningful topics or themes. Lists have since been adopted by media outlets as a means of orga…