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20212026
most citedBias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations

2 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

LLM-Driven Autonomous Vehicles Can Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From a New Benchmark

Irem Yoldas, Martim Brandão, Jie Zhang +1

Public trust in Autonomous Vehicles (AVs) may depend not only on technical success but also on the fairness of their decision making. While a recent trend in AV research involves u…

cs.LG2023★ 1 cited

Identifying Reasons for Bias: An Argumentation-Based Approach

Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu

As algorithmic decision-making systems become more prevalent in society, ensuring the fairness of these systems is becoming increasingly important. Whilst there has been substantia…

cs.LG2023★ 2 cited

Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations

Madeleine Waller, Odinaldo Rodrigues, Oana Cocarascu

Bias mitigation methods for binary classification decision-making systems have been widely researched due to the ever-growing importance of designing fair machine learning processe…

cs.CL2022★ 1 cited

ProVe: A Pipeline for Automated Provenance Verification of Knowledge Graphs against Textual Sources

Gabriel Amaral, Odinaldo Rodrigues, Elena Simperl

Knowledge Graphs are repositories of information that gather data from a multitude of domains and sources in the form of semantic triples, serving as a source of structured data fo…

cs.CL2022★ 1 cited

Statistical and Neural Methods for Cross-lingual Entity Label Mapping in Knowledge Graphs

Gabriel Amaral, Mārcis Pinnis, Inguna Skadiņa +2

Knowledge bases such as Wikidata amass vast amounts of named entity information, such as multilingual labels, which can be extremely useful for various multilingual and cross-lingu…

cs.CL2022

WDV: A Broad Data Verbalisation Dataset Built from Wikidata

Gabriel Amaral, Odinaldo Rodrigues, Elena Simperl

Data verbalisation is a task of great importance in the current field of natural language processing, as there is great benefit in the transformation of our abundant structured and…

cs.AI2021

Assessing the quality of sources in Wikidata across languages: a hybrid approach

Gabriel Amaral, Alessandro Piscopo, Lucie-Aimée Kaffee +2

Wikidata is one of the most important sources of structured data on the web, built by a worldwide community of volunteers. As a secondary source, its contents must be backed by cre…