no code implementations • 23 Aug 2024 • Anjana Wijekoon, Nirmalie Wiratunga, David Corsar, Kyle Martin, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Marta Caro-Martínez, Belen Díaz-Agudo, Derek Bridge, Anne Liret
The iSee platform is designed for the intelligent sharing and reuse of explanation experiences, using Case-based Reasoning to advance best practices in XAI.
no code implementations • 15 Jul 2024 • Anjana Wijekoon, Nirmalie Wiratunga, David Corsar, Kyle Martin, Ikechukwu Nkisi-Orji, Belen Díaz-Agudo, Derek Bridge
In response, we developed the XAI Experience Quality (XEQ) Scale.
no code implementations • 2 Mar 2024 • Victor Coscrato, Derek Bridge
It is vital that the most competitive suppliers are invited to bid for such contracts.
no code implementations • 21 Jan 2024 • Diego Carraro, Derek Bridge
The literature reports many ways of measuring diversity and improving the diversity of a set of recommendations, most notably by re-ranking and selecting from a larger set of candidate recommendations.
no code implementations • 16 Aug 2022 • Giovanni Gabbolini, Derek Bridge
We assess the algorithms, we discuss attributes of the tours that the algorithms produce, we identify which attributes are desirable and which are not, and we enumerate several possible improvements to the algorithms, along with practical suggestions on how to implement the improvements.
1 code implementation • 3 Aug 2021 • Giovanni Gabbolini, Derek Bridge
The results highlight the validity of our approach to music similarity, and demonstrate that path interestingness scores can be the basis of an accurate and interpretable similarity measure.
1 code implementation • 31 May 2021 • Giovanni Gabbolini, Derek Bridge
We refer to our implementation as Dave.
no code implementations • 31 Jul 2019 • Derek Bridge, Mesut Kaya, Pablo Castells
This paper describes problems with the current way we compare the diversity of different recommendation lists in offline experiments.
no code implementations • 7 Jan 2018 • John Mitro, Derek Bridge, Steven Prestwich
We show that after applying (DDL) the reconstruction of the original data point from a noisy