Segui
Frank Rudzicz
Frank Rudzicz
Dalhousie University, Computer Science ; Vector Institute for Artificial Intelligence
Email verificata su dal.ca - Home page
Titolo
Citata da
Anno
Context is not key: Detecting Alzheimer’s disease with both classical and transformer-based neural language models
B TaghiBeyglou, F Rudzicz
Natural Language Processing Journal 6, 100046, 2024
2024
Immunization against harmful fine-tuning attacks
D Rosati, J Wehner, K Williams, Ł Bartoszcze, J Batzner, H Sajjad, ...
arXiv preprint arXiv:2402.16382, 2024
2024
Long-form evaluation of model editing
D Rosati, R Gonzales, J Chen, X Yu, M Erkan, Y Kayani, SD Chavatapalli, ...
arXiv preprint arXiv:2402.09394, 2024
2024
Systems and methods for configuring and operating de-identification systems
AS Chaudhry, F Rudzicz, LI Tianbao, S Khalid, K Yang, TP Grantcharov
US Patent App. 18/026,641, 2024
2024
Machine learning in the prediction of massive transfusion in trauma: a retrospective analysis as a proof-of-concept
A Nikouline, J Feng, F Rudzicz, A Nathens, B Nolan
European Journal of Trauma and Emergency Surgery, 1-9, 2024
2024
Conformal mirror descent with logarithmic divergences
AS Kainth, TKL Wong, F Rudzicz
Information Geometry 7 (Suppl 1), 303-327, 2024
22024
System and method for operating room human traffic monitoring
F Rudzicz, AS Chaudhry, S Khalid, TP Grantcharov, LI Tianbao
US Patent App. 18/037,987, 2023
2023
Systems and methods for surgical video de-identification
LI Tianbao, S Khalid, K Yang, F Rudzicz, TP Grantcharov
US Patent App. 18/037,990, 2023
2023
Validating pertussis data measures using electronic medical record data in Ontario, Canada 1986–2016
SH McBurney, JC Kwong, KA Brown, F Rudzicz, B Chen, E Candido, ...
Vaccine: X 15, 100408, 2023
12023
Improving estimates of pertussis burden in Ontario, Canada 2010–2017 by combining validation and capture-recapture methodologies
SH McBurney, JC Kwong, KA Brown, F Rudzicz, A Wilton, NS Crowcroft
Plos one 18 (12), e0273205, 2023
2023
Deep learning model for automated trainee assessment during high-fidelity simulation
A Siddiqui, Z Zhao, C Pan, F Rudzicz, T Everett
Academic Medicine 98 (11), 1274-1277, 2023
22023
A State-Vector Framework for Dataset Effects
E Sahak, Z Zhu, F Rudzicz
arXiv preprint arXiv:2310.10955, 2023
2023
Measuring Information in Text Explanations
Z Zhu, F Rudzicz
arXiv preprint arXiv:2310.04557, 2023
2023
wildNeRF: Novel view synthesis of in-the-wild dynamic scenes using sparse monocular data
S Khalid, F Rudzicz
2023
Exploring the Use of Natural Language Processing for Objective Assessment of Disorganized Speech in Schizophrenia
L Jeong, M Lee, B Eyre, A Balagopalan, F Rudzicz, C Gabilondo
Psychiatric Research and Clinical Practice 5 (3), 84-92, 2023
52023
Situated Natural Language Explanations
Z Zhu, H Jiang, J Yang, S Nag, C Zhang, J Huang, Y Gao, F Rudzicz, ...
arXiv preprint arXiv:2308.14115, 2023
2023
System and method for filtering time-varying data for physiological signal prediction
D Liaqat, M Abdalla, E De Lara, F Rudzicz, A Gershon, R Wu
US Patent App. 17/456,001, 2023
2023
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks
S Khalid, F Rudzicz
arXiv preprint arXiv:2308.13073, 2023
2023
Investigating the learning behaviour of in-context learning: a comparison with supervised learning
X Wang, Y Wang, C Xu, X Geng, B Zhang, C Tao, F Rudzicz, RE Mercer, ...
arXiv preprint arXiv:2307.15411, 2023
72023
Improving automatic quotation attribution in literary novels
K Vishnubhotla, F Rudzicz, G Hirst, A Hammond
arXiv preprint arXiv:2307.03734, 2023
22023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20