Online Bayesian Transfer Learning for Sequential Data Modeling. - Priyank Jaini; Zhitang Chen; Pablo Carbajal; Edith Law; Laura Middleton; Kayla Regan; Mike Schaekermann; George Trimponias; James Tung; Pascal Poupart (ICLR (Poster), 2017)

Multidisciplinary Iterative Design of Exergames (MIDE): A Framework for Supporting the Design, Development, and Evaluation of Exergames for Health. - Yirou Li; John Edison Muñoz; Samira Mehrabi; Laura Middleton; Shi Cao; Jennifer Boger (HCI (31), 2020)

Multimodal Sensor Data Analysis for Detection of Risk Situations of Fragile People in @home Environments. - Thinhinane Yebda; Jenny Benois-Pineau; Marion Pech; Hélène Amieva; Laura Middleton; Max Bergelt (MMM (2), 2021)

Pooling Transformer for Detection of Risk Events in In-The-Wild Video Ego Data. - Rupayan Mallick; Jenny Benois-Pineau; Akka Zemmari; Thinhinane Yebda; Marion Pech; Hélène Amieva; Laura Middleton (ICPR, 2022)

A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data. - Rupayan Mallick; Jenny Benois-Pineau; Akka Zemmari; Marion Pech; Thinhinane Yebda; Hélène Amieva; Laura Middleton (ICDAR@ICMR, 2022)

Entropy-based Sampling for Streaming learning with Move-to-Data approach on Video. - Meghna P. Ayyar; Jenny Benois-Pineau; Akka Zemmari; Hélène Amieva; Laura Middleton (CBMI, 2023)

A hybrid transformer with domain adaptation using interpretability techniques for the application to the detection of risk situations. - Rupayan Mallick; Jenny Benois-Pineau; Akka Zemmari; Kamel Guerda; Boris Mansencal; Hélène Amieva; Laura Middleton (Multim. Tools Appl., 2024)