Hamed Sadeghi
Hamed Sadeghi
Amazon, Google, University of Toronto
Verifierad e-postadress på alum.utoronto.ca
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A weighted KNN epipolar geometry-based approach for vision-based indoor localization using smartphone cameras
H Sadeghi, S Valaee, S Shirani
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2014
422014
Optimal camera selection in array of monitoring cameras
S Shirani, S Samavi, S Soroushmehr, H Sadeghi
US Patent 9,591,272, 2017
192017
Crowdsensing in vehicular sensor networks with limited channel capacity
W Alasmary, H Sadeghi, S Valaee
2013 IEEE International Conference on Communications (ICC), 1833-1838, 2013
192013
Salsa-text: self attentive latent space based adversarial text generation
J Gagnon-Marchand, H Sadeghi, MA Haidar, M Rezagholizadeh
Canadian Conference on Artificial Intelligence, 119-131, 2019
142019
OCRAPOSE: An indoor positioning system using smartphone/tablet cameras and OCR-aided stereo feature matching
H Sadeghi, S Valaee, S Shirani
ICASSP 2015, 2015
132015
Semi-supervised logo-based indoor localization using smartphone cameras
H Sadeghi, S Valaee, S Shirani
2014 IEEE 25th Annual International Symposium on Personal, Indoor, and …, 2014
122014
2DTriPnP: A robust two-dimensional method for fine visual localization using Google streetview database
H Sadeghi, S Valaee, S Shirani
IEEE Transactions on Vehicular Technology 66 (6), 4678-4690, 2016
102016
Strategic sensing in vehicular networks using known mobility information
W Alasmary, H Sadeghi, S Valaee
IEEE Transactions on Vehicular Technology 67 (3), 1932-1945, 2017
52017
Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada
M Ravaut, H Sadeghi, KK Leung, M Volkovs, RA Laura C.
On Arxiv, 2019
12019
OCRAPOSE II: An OCR-based indoor positioning system using mobile phone images
H Sadeghi, S Valaee, S Shirani
On Arxiv, 2016
12016
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data
M Ravaut, H Sadeghi, KK Leung, M Volkovs, K Kornas, V Harish, ...
NPJ digital medicine 4 (1), 1-12, 2021
2021
Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type-2 Diabetes
TPLR Mathieu Ravaut, Vinyas Harish, Hamed Sadeghi, Kin Kwan Leung, Maksims ...
JAMA, 2021
2021
Regularization of recurrent machine-learned architectures
M Volkovs, MJR Ravaut, KK Leung, H Sadeghi
US Patent App. 16/435,213, 2020
2020
A fast semi-automatic method for classification and counting the number and types of blood cells in an image
H Sadeghi, S Shirani, DW Capson
https://arxiv.org/abs/2004.08690, 2020
2020
Bilingual-GAN: Neural Text Generation and Neural Machine Translation as Two Sides of the Same Coin
A Rashid, A Do-Omri, M Rezagholizadeh, MA Haidar, H Sadeghi
2018
1D modeling of sensor selection problem for weak barrier coverage and gap mending in wireless sensor networks
H Sadeghi, MR Soroushmehr, S Valaee, S Shirani, S Samavi
On Arxiv, 2016
2016
A simplified method for computation of scattered fields by the lamp-posts along a boulevard used for wireless communications in 2-GHz band
H sadeghi, F Farzaneh
Microwave Symposium (MMS), 2010 Mediterranean, 346 - 350, 2010
2010
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Artiklar 1–17