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Bahar Azari
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2020 – today
- 2023
- [j4]Bahar Azari
, Deniz Erdogmus:
Circular-symmetric correlation layer. Mach. Learn. 112(2): 611-631 (2023) - 2022
- [j3]Bahar Azari
, Hai Cheng, Nasim Soltani, Haoqing Li, Yanyu Li, Mauro Belgiovine, Tales Imbiriba, Salvatore D'Oro, Tommaso Melodia
, Yanzhi Wang, Pau Closas, Kaushik R. Chowdhury
, Deniz Erdogmus:
Automated deep learning-based wide-band receiver. Comput. Networks 218: 109367 (2022) - [j2]Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury
:
Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. IEEE Internet Things Mag. 5(3): 158-164 (2022) - [c5]Bahar Azari, Deniz Erdogmus:
Equivariant Deep Dynamical Model for Motion Prediction. AISTATS 2022: 11655-11668 - [c4]Mohammadsadegh Shamsabardeh, Bahar Azari, Beatriz Martínez-López:
Spatio-Temporal PRRS Epidemic Forecasting via Factorized Deep Generative Modeling. ICASSP 2022: 3978-3982 - [i6]Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia
, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury
:
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices. CoRR abs/2205.06159 (2022) - 2021
- [c3]Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas:
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting. AAAI 2021: 7394-7403 - [i5]Bahar Azari, Deniz Erdogmus:
Circular-Symmetric Correlation Layer based on FFT. CoRR abs/2107.12480 (2021) - [i4]Mohammadsadegh Shamsabardeh, Bahar Azari, Beatriz Martínez-López:
PRRS Outbreak Prediction via Deep Switching Auto-Regressive Factorization Modeling. CoRR abs/2110.03147 (2021) - [i3]Bahar Azari, Deniz Erdogmus:
Equivariant Deep Dynamical Model for Motion Prediction. CoRR abs/2111.01892 (2021) - 2020
- [i2]Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas:
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting. CoRR abs/2009.05135 (2020)
2010 – 2019
- 2018
- [c2]Yeganeh M. Marghi, Paula Gonzalez-Navarro, Bahar Azari, Deniz Erdogmus:
A Parametric EEG Signal Model for BCIs with Rapid-Trial Sequences. EMBC 2018: 118-122 - 2016
- [j1]Bahar Azari
, Osvaldo Simeone
, Umberto Spagnolini
, Antonia M. Tulino
:
Hypergraph-Based Analysis of Clustered Co-Operative Beamforming With Application to Edge Caching. IEEE Wirel. Commun. Lett. 5(1): 84-87 (2016) - 2015
- [i1]Bahar Azari, Osvaldo Simeone, Umberto Spagnolini, Antonia M. Tulino:
Hypergraph-Based Analysis of Clustered Cooperative Beamforming with Application to Edge Caching. CoRR abs/1510.06222 (2015) - 2014
- [c1]Maria Antonieta Alvarez, Bahar Azari, Umberto Spagnolini
:
Time and frequency self-synchronization in dense cooperative network. ACSSC 2014: 1811-1815
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