Silicone-based adhesives for long-term skin application: Cleaning protocols and their effect on peel strength L Liu, K Kuffel, DK Scott, G Constantinescu, HJ Chung, J Rieger Biomedical Physics & Engineering Express 4 (1), 015004, 2017 | 39 | 2017 |
Usability testing of an mHealth device for swallowing therapy in head and neck cancer survivors G Constantinescu, K Kuffel, B King, W Hodgetts, J Rieger Health informatics journal 25 (4), 1373-1382, 2019 | 31 | 2019 |
Evaluation of an automated swallow-detection algorithm using visual biofeedback in healthy adults and head and neck cancer survivors G Constantinescu, K Kuffel, D Aalto, W Hodgetts, J Rieger Dysphagia 33 (3), 345-357, 2018 | 22 | 2018 |
Electromyography and mechanomyography signals during swallowing in healthy adults and head and neck cancer survivors G Constantinescu, W Hodgetts, D Scott, K Kuffel, B King, C Brodt, J Rieger Dysphagia 32, 90-103, 2017 | 20 | 2017 |
The mental health impacts of the COVID-19 pandemic among individuals with depressive, anxiety, and stressor-related disorders: A scoping review CM Wickens, V Popal, V Fecteau, C Amoroso, G Stoduto, T Rodak, LY Li, ... PLoS One 18 (12), e0295496, 2023 | 9 | 2023 |
Strength in diversity: Understanding the impacts of diverse training sets in self-supervised pre-training for histology images KL Kupferschmidt, EW Teh, GW Taylor Medical Imaging with Deep Learning, 2021 | 4 | 2021 |
DelphAI: A human-centered approach to time-series forecasting KL Kupferschmidt, JG Skorburg, GW Taylor 2022 IEEE International Conference on Big Data (Big Data), 4014-4020, 2022 | 3 | 2022 |
Enhancing Food Price Forecasts in Canada: An Integration of Expert-Driven Covariates and Advanced ML Approaches CK Kristina L. Kupferschmidt Canadian Conference on Artificial Intelligence, 2024 | 1* | 2024 |
“Large Language Models” Do Much More than Just Language: Some Bioethical Implications of Multi-Modal AI JA Skorburg, KL Kupferschmidt, GW Taylor The American Journal of Bioethics 23 (10), 110-113, 2023 | 1 | 2023 |
Food for thought: How can machine learning help better predict and understand changes in food prices? KL Kupferschmidt, J Requiema, M Simpson, Z Varsallay, E Jackson, ... arXiv preprint arXiv:2412.06472, 2024 | | 2024 |
Stable rivers: A case study in the application of text‐to‐image generative models for Earth sciences C Kupferschmidt, AD Binns, KL Kupferschmidt, GW Taylor Earth Surface Processes and Landforms 49 (13), 4213-4232, 2024 | | 2024 |
Canada's Food Price Report 2024 S Charlebois, A Rankin, S Taylor, V Keselj, G Abebe, S Colombo, ... https://cdn.dal.ca/content/dam/dalhousie/pdf/sites/agri-food/EN_CANADA'S …, 2023 | | 2023 |
Mind the gap: Addressing practical challenges of predictive machine-learning for mental health using a human-centered approach. KL Kupferschmidt, JA Skorburg, GW Taylor Computational Approaches to Mental Health Workshop ICML, 2020 | | 2020 |
Using Surface Electromyography to Characterize Swallows in Stroke Survivors KL Kuffel Kupferschmidt | | 2018 |
PREDICTING THE SURGE: FORECASTING ONTARIO’S KL Kupferschmidt, C Kupferschmidt, JA Skorburg, B Agic, ... | | |