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Sharare Zehtabian
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2020 – today
- 2022
- [j4]Saeed Vahidian, Mohsen Joneidi, Ashkan Esmaeili, Siavash Khodadadeh, Sharare Zehtabian, Bill Lin:
Spectrum Pursuit With Residual Descent for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning. IEEE Access 10: 88164-88177 (2022) - 2021
- [j3]Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut:
Modeling an intelligent controller for predictive caching in AR/VR-enabled home scenarios. Pervasive Mob. Comput. 71: 101334 (2021) - [j2]Nafisa Mostofa, Christopher Feltner, Kelly Fullin, Jonathan Guilbe, Sharare Zehtabian, Salih Safa Bacanli, Ladislau Bölöni, Damla Turgut:
A Smart Walker for People with Both Visual and Mobility Impairment. Sensors 21(10): 3488 (2021) - [j1]Thomas Burns, Gregory Fichthorn, Jason Ling, Sharare Zehtabian, Safa Bacanli, Ladislau Bölöni, Damla Turgut:
Exploring the Predictability of Temperatures in a Scaled Model of a Smarthome. Sensors 21(18): 6052 (2021) - [c11]Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni:
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. ICLR 2021 - [c10]Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut:
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments. INFOCOM 2021: 1-10 - [i3]Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut:
Privacy-Preserving Learning of Human Activity Predictors in Smart Environments. CoRR abs/2101.06564 (2021) - [i2]Sharare Zehtabian, Siavash Khodadadeh, Damla Turgut, Ladislau Bölöni:
Predicting infections in the Covid-19 pandemic - lessons learned. CoRR abs/2112.11187 (2021) - 2020
- [c9]Sharare Zehtabian, Siavash Khodadadeh, Kangsoo Kim, Gerd Bruder, Greg Welch, Ladislau Bölöni, Damla Turgut:
An Automated Virtual Receptionist for Recognizing Visitors and Assuring Mask Wearing. ICAT-EGVE (Posters and Demos) 2020: 9-10 - [c8]Thomas Burns, Gregory Fichthorn, Sharare Zehtabian, Salih Safa Bacanli, Mina Razghandi, Ladislau Bölöni, Damla Turgut:
IoT Augmented Physical Scale Model of a Suburban Home. ICC Workshops 2020: 1-5 - [c7]Nafisa Mostofa, Kelly Fullin, Sharare Zehtabian, Safa Bacanli, Ladislau Bölöni, Damla Turgut:
IoT-Enabled Smart Mobility Devices for Aging and Rehabilitation. ICC 2020: 1-6 - [c6]Sharare Zehtabian, Mina Razghandi, Ladislau Bölöni, Damla Turgut:
Predictive Caching for AR/VR Experiences in a Household Scenario. ICNC 2020: 591-595 - [c5]Eric Elliott, Nicholas Shanklin, Sharare Zehtabian, Qun Zhou, Damla Turgut:
Peer-to-Peer Energy Trading and Grid Impact Studies in Smart Communities. ICNC 2020: 674-678 - [c4]Matteo Mendula, Siavash Khodadadeh, Salih Safa Bacanli, Sharare Zehtabian, Hassam Ullah Sheikh, Ladislau Bölöni, Damla Turgut, Paolo Bellavista:
Interaction and Behaviour Evaluation for Smart Homes: Data Collection and Analytics in the ScaledHome Project. MSWiM 2020: 225-233 - [i1]Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Bölöni:
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. CoRR abs/2006.10236 (2020)
2010 – 2019
- 2019
- [c3]Jason Ling, Sharare Zehtabian, Salih Safa Bacanli, Ladislau Bölöni, Damla Turgut:
Predicting the Temperature Dynamics of Scaled Model and Real-World IoT-Enabled Smart Homes. GLOBECOM 2019: 1-6 - [c2]Christopher Feltner, Jonathan Guilbe, Sharare Zehtabian, Siavash Khodadadeh, Ladislau Bölöni, Damla Turgut:
Smart Walker for the Visually Impaired. ICC 2019: 1-6 - [c1]Siavash Khodadadeh, Sharare Zehtabian, Jonathan Guilbe, Ross Pearlman, Bradley J. Willenberg, Brian Kim, Edward A. Ross, Ladislau Bölöni, Damla Turgut:
Detecting Unsafe Use of a Four-Legged Walker using IoT and Deep Learning. ICC 2019: 1-6
Coauthor Index
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