Khalid S, Goldenberg M, Grantcharov T, Taati B, Rudzicz F (2020) Evaluation of Deep Learning Models for Identifying Surgical Actions and Measuring Performance, Robin J, Harrison JE, Kaufman LD, Rudzicz F, Simpson W, Yancheva M (2020)Įvaluation of speech-based digital biomarkers: review and recommendations,Ībdalla Moh, Abdalla Mou, Hirst G, Rudzicz F (2020) Exploring the privacy-preserving properties of word embeddings: Algorithmic validation,Ībdalla Moh, Abdalla Mou, Rudzicz F, Hirst G (2020) Using Word Embeddings to Improve the Privacy of Clinical Notes,Ĭlarkson PM, Ponn J, Richardson GD, Rudzicz F, Tsang A, Wang J (2020) A Textual Analysis of U.S. Thinker Invariance: Enabling Deep Neural Networks for BCI Across More People, Hussein T, Chauhan P, Dalmer N, Rudzicz F, Boger J (2020)Įxploring Interface Design to Support Caregivers' Needs and Feelings of Trust in Online Content, Using Machine Learning to Predict Children’s Reading Comprehension from Linguistic Features Extracted from Speech and Writing,īensoussan Y, Pinto J, Crowson M, Walden PR, Rudzicz F, Johns M (2020)ĭeep Learning for Voice Gender Identification: Proof-of-concept for Gender-Affirming Voice Care, Yeung AYS, Roewer-Despres F, Rosella L, Rudzicz F (2021)Ĭomparison of Multiple Machine Learning-based Predictions of Growth in COVID-19 Confirmed Infection Cases in Countries using Non-Pharmaceutical Interventions and Cultural Dimensions Data: Development and Validation, Regional brain morphology predicts pain relief in trigeminal neuralgia,īalagopalan A, Eyre B, Robin J, Rudzicz F, Novikova J (2021)Ĭomparing Pre-trained and Feature-based Models for Prediction of Alzheimer’s Disease Based on Speech, Hung PS-P, Noorani A, Zhang JY, Tohyama S, Laperriere N, Davis KD, Mikulis DJ, Rudzicz F, Hodaie M (2021) Kostas D, Aroca-Ouellette S, Rudzicz F (2021)īENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data, Population-based incidence of invasive pneumococcal disease in children and adults in Ontario and British Columbia, 2002–2018: a Canadian Immunization Research Network (CIRN) study, Nasreen S, Wang J, Kwong JC, Crowcroft NS, Sadarangani M, Wilson SE, McGeer A, Kellner JD, Quach C, Morris SK, Sander B, Kus JV, Naus M, Hoang L, Rudzicz F, Fadel S, Marra F ( Accepted) Hung PS-P, Zhang JY, Noorani A, Walker MR, Huang M, Zhang JW, Laperriere N, Rudzicz F, Hodaie M (2022)ĭifferential expression of a brain aging biomarker across discrete chronic pain disorders, Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning, Lam K, Abramoff MD, Balibrea JM, Bishop SM, Brady RR, Callcut RA, Chand M, Collins JW, Diener MK, Eisenmann M, Fermont K, Neto MG, Hager GD, Hinchliffe RJ, Horgan A, Jannin P, Langerman A, Logishetty K, Mahadik A, Maier-Hein L, Antona EM, Mascagni P, Mathew RK, Muller-Stich BP, Neumuth T, Nickel F, Park A, Pellino G, Rudzicz F, Shah S, Slack M, Smith MJ, Soomro N, Speidel S, Stoyanov D, Tilney HS, Wagner M, Darzi A, Kinross JM, Purkayastha S (2022)Ī Delphi consensus statement for digital surgery,Ībdalla M, Lu H, Pinzaru B, Rudzicz F, Jaakkimainen L (2022) Perspectives on Speech and Language Interaction for Daily Assistive Technology: Introduction to Part 1 of the Special Issue,ĪCM Transactions on Accessible Computing (TACCESS), 6(3), June. Speech Production in Speech Technologies: Introduction to the CSL Special Issue,Ĭomputer Speech & Language, 36:165-172, March.Ĭhristensen H, Rudzicz F, Portet F, Alexandersson J (2015) Livescu K, Rudzicz F, Fosler-Lussier E, Hasegawa-Johnson M, Bilmes J (2016) Today's Geriatric Medicine, 9(2):8, March. Toward Dementia Diagnosis via Artificial Intelligence, ISBN: 978-1260452730Įthics of Artificial Intelligence in Surgery,Įxplainable AI for the Operating Theater, (Ed.) Artificial Intelligence in Surgery: A Primer for Surgical Practice. Synthesis Lectures on Assistive, Rehabilitative, and Health-Preserving Technologies, Vol. Clear speech: technologies that enable the expression and reception of language,
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