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ORCIDAta Akbari Asanjan
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2020 – today
- 2024
[j7]Eleanor Gilbert Rieffel, Ata Akbari Asanjan, M. Sohaib Alam, Namit Anand, David E. Bernal Neira, Sophie Block, Lucas T. Brady, Steve Cotton, Zoe Gonzalez Izquierdo, Shon Grabbe
, Erik Gustafson, Stuart Hadfield, P. Aaron Lott, Filip B. Maciejewski, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Humberto Munoz Bauza, Jason Saied, Nishchay Suri, Davide Venturelli, Zhihui Wang, Rupak Biswas:
Assessing and advancing the potential of quantum computing: A NASA case study. Future Gener. Comput. Syst. 160: 598-618 (2024)- [i3]Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan, P. Aaron Lott, Masoud Mohseni, Can Unlu, Davide Venturelli, Alan Ho:
Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization. CoRR abs/2407.00071 (2024) - 2023
- [j6]Thomas Templin, Milad Memarzadeh, Walter Vinci, Paul Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Gilbert Rieffel:
Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model. Mach. Learn. Sci. Technol. 4(3): 35018 (2023) - [j5]Ata Akbari Asanjan, Milad Memarzadeh, Paul Aaron Lott, Eleanor Gilbert Rieffel, Shon Grabbe:
Probabilistic Wildfire Segmentation Using Supervised Deep Generative Model from Satellite Imagery. Remote. Sens. 15(11): 2718 (2023) - [c3]Ata Akbari Asanjan, Lucas T. Brady, Zoe Gonzalez Izquierdo, Paul Aaron Lott, Milad Memarzadeh, Nishchay Suri, David Bell, Eleanor Gilbert Rieffel, Shon Grabbe:
Quantum-Assisted Variational Segmentation for Image-to-Image Wildfire Detection Using Satellite Data. IGARSS 2023: 624-626 - [i2]Thomas Templin, Milad Memarzadeh, Walter Vinci, Paul Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Gilbert Rieffel:
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model. CoRR abs/2303.12302 (2023) - 2022
- [j4]Ehsan Raei, Ata Akbari Asanjan, Mohammad Reza Nikoo, Mojtaba Sadegh, Shokoufeh Pourshahabi, Jan Franklin Adamowski:
A deep learning image segmentation model for agricultural irrigation system classification. Comput. Electron. Agric. 198: 106977 (2022) - [j3]Esra Suel, Meytar Sorek-Hamer, Izabela Moise, Michael Von Pohle, Adwait Sahasrabhojanee, Ata Akbari Asanjan, Raphael Arku, Abosede S. Alli, Benjamin Barratt, Sierra N. Clark, Ariane Middel, Emily Deardorff, Violet Lingenfelter, Nikunj C. Oza, Nishant Yadav, Majid Ezzati, Michael Brauer:
What You See Is What You Breathe? Estimating Air Pollution Spatial Variation Using Street-Level Imagery. Remote. Sens. 14(14): 3429 (2022) - [c2]Ata Akbari Asanjan, Milad Memarzadeh, Paul Aaron Lott, Thomas Templin, Eleanor Gilbert Rieffel:
Quantum-Compatible Variational Segmentation for Image-to-Image Wildfire Detection Using Satellite Data. IGARSS 2022: 4919-4922 - [i1]Nishant Yadav, Meytar Sorek-Hamer, Michael Von Pohle, Ata Akbari Asanjan, Adwait Sahasrabhojanee, Esra Suel, Raphael Arku, Violet Lingenfelter, Michael Brauer, Majid Ezzati, Nikunj C. Oza, Auroop R. Ganguly:
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations. CoRR abs/2202.08890 (2022) - 2020
- [j2]Hamidreza Mosaffa, Mojtaba Sadeghi, Negin Hayatbini, Vesta Afzali Gorooh, Ata Akbari Asanjan, Phu Nguyen, Soroosh Sorooshian:
Spatiotemporal Variations of Precipitation over Iran Using the High-Resolution and Nearly Four Decades Satellite-Based PERSIANN-CDR Dataset. Remote. Sens. 12(10): 1584 (2020) - [j1]Pari-Sima Katiraie-Boroujerdy, Matin Rahnamay Naeini, Ata Akbari Asanjan, Ali Chavoshian, Kuo-lin Hsu, Soroosh Sorooshian:
Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran. Remote. Sens. 12(13): 2102 (2020) - [c1]Ata Akbari Asanjan, Kamalika Das, Alan S. Li, Ved Chirayath, Juan Torres-Perez, Soroosh Sorooshian:
Learning Instrument Invariant Characteristics for Generating High-resolution Global Coral Reef Maps. KDD 2020: 2617-2624
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last updated on 2024-10-07 21:17 CEST by the dblp team
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