activity
20062023
most citedCase Base Mining for Adaptation Knowledge Acquisition

44 citations · 59 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2023★ 1 cited

In Pursuit of Privacy: The Value-Centered Privacy Assistant

Sarah E. Carter, Mathieu d'Aquin, Dayana Spagnuelo +3

Many users make quick decisions that affect their data privacy without due consideration of their values. One such decision is whether to download a smartphone app to their device.…

cs.HC2023★ 8 cited

Introducing CALMED: Multimodal Annotated Dataset for Emotion Detection in Children with Autism

Annanda Sousa, Karen Young, Mathieu D'aquin +2

Automatic Emotion Detection (ED) aims to build systems to identify users' emotions automatically. This field has the potential to enhance HCI, creating an individualised experience…

cs.IR2019

Towards Sharing Task Environments to Support Reproducible Evaluations of Interactive Recommender Systems

Andrea Barraza-Urbina, Mathieu d'Aquin

Beyond sharing datasets or simulations, we believe the Recommender Systems (RS) community should share Task Environments. In this work, we propose a high-level logical architecture…

cs.AI2007★ 44 cited

Case Base Mining for Adaptation Knowledge Acquisition

Mathieu D'Aquin, Fadi Badra, Sandrine Lafrogne +3

In case-based reasoning, the adaptation of a source case in order to solve the target problem is at the same time crucial and difficult to implement. The reason for this difficulty…

cs.AI2006★ 6 cited

Adaptation Knowledge Discovery from a Case Base

Mathieu D'Aquin, Fadi Badra, Sandrine Lafrogne +3

In case-based reasoning, the adaptation step depends in general on domain-dependent knowledge, which motivates studies on adaptation knowledge acquisition (AKA). CABAMAKA is an AKA…