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Yashar Kiarashinejad
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2020 – today
- 2024
- [j3]Yashar Kiarashi, Pradyumna B. Suresha, Ali Bahrami Rad, Matthew A. Reyna, Conor Anderson, Jenny Foster, Johanna Lantz, Tania Villavicencio, Theresa Hamlin, Gari D. Clifford:
Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder. IEEE J. Biomed. Health Informatics 28(11): 6886-6896 (2024) - [i8]Chaitra Hegde, Yashar Kiarashi, Allan I. Levey, Amy D. Rodriguez, Hyeokhyen Kwon, Gari D. Clifford:
Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing. CoRR abs/2408.10442 (2024) - [i7]Matthew A. Reyna, Deepanshi, James Weigle, Zuzana Koscova, Kiersten Campbell, Kshama Kodthalu Shivashankara, Soheil Saghafi, Sepideh Nikookar, Mohsen Motie Shirazi, Yashar Kiarashi, Salman Seyedi, Gari D. Clifford, Reza Sameni:
ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis. CoRR abs/2409.16612 (2024) - 2023
- [j2]Yashar Kiarashi, Soheil Saghafi, Barun Das, Chaitra Hegde, Venkata Siva Krishna Madala, ArjunSinh Nakum, Ratan Singh, Robert Tweedy, Matthew Doiron, Amy D. Rodriguez, Allan I. Levey, Gari D. Clifford, Hyeokhyen Kwon:
Graph Trilateration for Indoor Localization in Sparsely Distributed Edge Computing Devices in Complex Environments Using Bluetooth Technology. Sensors 23(23): 9517 (2023) - [c2]Mohammadreza Zandehshahvar, Marly van Assen, Eun Young Kim, Yashar Kiarashi, Vikranth Keerthipati, Arthur E. Stillman, Peter Filev, Amir H. Davarpanah, Eugene A. Berkowitz, Stefan Tigges, Scott J. Lee, Brianna L. Vey, Carlo Nicola De Cecco, Ali Adibi:
Bayesian neural networks for severity assessment of COVID-19 pneumonia from chest x-ray using a multi-reader and binational dataset. Computer-Aided Diagnosis 2023 - [i6]HyeokHyen Kwon, Chaitra Hegde, Yashar Kiarashi, Venkata Siva Krishna Madala, Ratan Singh, ArjunSinh Nakum, Robert Tweedy, Leandro Miletto Tonetto, Craig M. Zimring, Gari D. Clifford:
Indoor Localization and Multi-person Tracking Using Privacy Preserving Distributed Camera Network with Edge Computing. CoRR abs/2305.05062 (2023) - [i5]Yashar Kiarashi, Chaitra Hedge, Venkata Siva Krishna Madala, ArjunSinh Nakum, Ratan Singh, Robert Tweedy, Gari D. Clifford, HyeokHyen Kwon:
Indoor Localization using Bluetooth and Inertial Motion Sensors in Distributed Edge and Cloud Computing Environment. CoRR abs/2305.19342 (2023) - 2022
- [c1]Matthew A. Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez-Alday, Nadi Sadr, Ashish Sharma, Sandra da Silva Mattos, Miguel T. Coimbra, Reza Sameni, Ali Bahrami Rad, Gari D. Clifford:
Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022. CinC 2022: 1-4 - 2021
- [i4]Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu, Hossein Maleki, Tyler Brown, Ali Adibi:
Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity. CoRR abs/2102.04454 (2021) - 2020
- [j1]Yashar Kiarashinejad, Mohammadreza Zandehshahvar, Sajjad AbdollahRamezani, Omid Hemmatyar, Reza Pourabolghasem, Ali Adibi:
Knowledge Discovery in Nanophotonics Using Geometric Deep Learning. Adv. Intell. Syst. 2(2): 1900132 (2020)
2010 – 2019
- 2019
- [i3]Yashar Kiarashinejad, Sajjad AbdollahRamezani, Ali Adibi:
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures. CoRR abs/1902.03865 (2019) - [i2]Yashar Kiarashinejad, Sajjad AbdollahRamezani, Mohammadreza Zandehshahvar, Omid Hemmatyar, Ali Adibi:
Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices. CoRR abs/1905.06889 (2019) - [i1]Yashar Kiarashinejad, Mohammadreza Zandehshahvar, Sajjad AbdollahRamezani, Omid Hemmatyar, Reza Pourabolghasem, Ali Adibi:
Knowledge Discovery In Nanophotonics Using Geometric Deep Learning. CoRR abs/1909.07330 (2019)
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last updated on 2024-12-02 21:29 CET by the dblp team
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