Relationship between device performance, trust and user behaviour in a care-taking scenario A Partovi, I Zukerman, K Zhan, N Hamacher, J Hohwy Proceedings of the 27th ACM Conference on User Modeling, Adaptation and …, 2019 | 6 | 2019 |
Use of a novel smartphone-based application tool for enrolment and randomisation in pre-hospital clinical trials JE Bloom, A Partovi, S Bernard, D Okyere, S Heritier, E Mahony, ... Resuscitation 187, 109787, 2023 | 5 | 2023 |
Detecting heart failure through voice analysis using self-supervised mode-based memory fusion D Priyasad, A Partovi, S Sridharan, M Kashefpoor, T Fernando, ... Proceedings of the 23rd INTERSPEECH Conference, 2848-2852, 2022 | 5 | 2022 |
Identifying factors that influence the acceptability of smart devices: implications for recommendations K Zhan, I Zukerman, A Partovi User Modeling and User-Adapted Interaction 28, 391-423, 2018 | 5 | 2018 |
A deep learning algorithm for classifying grasp motions using multi-session EEG recordings A Partovi, SM Hosseini, M Soleymani, K Liaghat, S Ziaee, EHP Fard, ... 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-6, 2021 | 4 | 2021 |
Improving the understanding of spoken referring expressions through syntactic-semantic and contextual-phonetic error-correction I Zukerman, A Partovi Computer Speech & Language 46, 284-310, 2017 | 4 | 2017 |
A pilot randomised controlled parallel arm trial evaluating treatment satisfaction with the Omnipod DASH® Insulin Management System compared with usual care … YW Kong, CY Yuan, K Kiburg, K Brown, S Trawley, A Partovi, K Roem, ... Pilot and Feasibility Studies 9 (1), 171, 2023 | 3 | 2023 |
A Self-Supervised Task-Agnostic Embedding for EEG Signals A Partovi, AN Burkitt, D Grayden 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 1-4, 2023 | 3 | 2023 |
Exploring a deeper convolutional neural network architecture with high dropout for motor imagery BCI decoding R Alami, A Partovi, F Goodarzy 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-5, 2021 | 3 | 2021 |
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario I Zukerman, A Partovi, J Hohwy User Modeling and User-Adapted Interaction 33 (5), 1015-1063, 2023 | 2 | 2023 |
A Convolutional Neural Network Model for Decoding EEG signals in a Hand-Squeeze Task1 A Partovi, F Goodarzy, ES Nurse, P Karoly, D Freeston, M Cook, ... 2020 8th International Winter Conference on Brain-Computer Interface (BCI), 1-6, 2020 | 2 | 2020 |
A game for eliciting trust between people and devices under diverse performance conditions I Zukerman, A Partovi, K Zhan, N Hamacher, J Stout, M Moshtaghi Computer Games: 6th Workshop, CGW 2017, Held in Conjunction with the 26th …, 2018 | 2 | 2018 |
Bayesian Changepoint Detection in Textual Data Streams A Partovi, GH Zukerman Ph. D. thesis, Monash University, 2015 | 2 | 2015 |
MiPy: A Framework for Benchmarking Machine Learning Prediction of Unplanned Hospital and ICU Readmission in the MIMIC-IV Database A Partovi, D Lukose, GI Webb | 1 | 2022 |
Context-dependent error correction of spoken referring expressions. I Zukerman, A Partovi, SN Kim INTERSPEECH, 2032-2036, 2015 | 1 | 2015 |
Treatment Satisfaction With Omnipod DASH in Adults With Type 1 Diabetes: A Nonblinded 1: 1 Randomized Controlled Trial YW Kong, CY Yuan, K Kiburg, K Brown, S Trawley, A Partovi, K Roem, ... The Journal of Clinical Endocrinology & Metabolism, dgae088, 2024 | | 2024 |
“You can hide it if you want to, you can let it be seen if you want to”: A qualitative study of the lived experiences of Australian adults with type 1 diabetes using the … A Stocco, S Trawley, YW Kong, CY Yuan, K Kiburg, C Pham, K Brown, ... Diabetes Research and Clinical Practice 208, 111123, 2024 | | 2024 |
A pilot randomised controlled parallel arm trial evaluating treatment satisfaction with the Omnipod DASH YW Kong, CY Yuan, K Kiburg, K Brown, S Trawley, A Partovi, K Roem, ... | | 2023 |
2.7 Paper F: Detecting Heart Failure Through Voice Analysis using Supervised Mode-Based Memory Fu-sion T From, D Priyasad, A Partovi, S Sridharan, M Kashefpoor, T Fernando Improving Information Fusion in Deep Learning, 104, 2023 | | 2023 |
Detecting Heart Failure With Self-Supervised Mode-Based Memory Fusion Voice Analysis D Kaye, A Partovi, J Tang, S Barker Heart, Lung and Circulation 31, S78-S79, 2022 | | 2022 |