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Arun Das 0001
Person information
- affiliation: University of Texas at San Antonio, TX, USA
Other persons with the same name
- Arun Das 0002
— Arizona State University, Tempe, AZ, USA
- Arun Das 0003
— Johns Hopkins University, Baltimore, MD, USA
- Arun Das 0004 — Hamad Bin Khalifa University, Doha, Qatar
- Arun Das 0005 — University of Waterloo, Waterloo, Ontario, Canada
- Arun Das 0006 — Technical University Munich, Germany
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2020 – today
- 2023
- [j3]Nima Ebadi
, Ruiqi Li, Arun Das
, Arkajyoti Roy
, Papanikolaou Nikos
, Peyman Najafirad
:
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. Medical Image Anal. 86: 102800 (2023) - [j2]Paul Young, Nima Ebadi
, Arun Das
, Mazal Bethany, Kevin Desai
, Peyman Najafirad:
Can Hierarchical Transformers Learn Facial Geometry? Sensors 23(2): 929 (2023) - 2022
- [c7]Samuel Henrique Silva, Arun Das, Adel Alaeddini, Peyman Najafirad:
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks. ICWSM 2022: 968-979 - [c6]Arun Das
, Mehdi Roopaei, Mo M. Jamshidi, Peyman Najafirad:
Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud. SoSE 2022: 514-521 - 2021
- [c5]Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad:
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. AAAI 2021: 818-826 - [i4]Shadi Ghafghazi, Amarie Carnett, Leslie Neely, Arun Das, Paul Rad:
AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment. CoRR abs/2102.10635 (2021) - [i3]Samuel Henrique Silva, Arun Das, Ian Scarff, Peyman Najafirad:
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification. CoRR abs/2104.02155 (2021) - 2020
- [c4]Garrett Hall, Arun Das
, John Quarles, Paul Rad:
Studying Adversarial Attacks on Behavioral Cloning Dynamics. ICTAI 2020: 452-459 - [i2]Arun Das
, Paul Rad:
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey. CoRR abs/2006.11371 (2020) - [i1]Arun Das
, Jeffrey Mock, Henry Chacon, Farzan Irani, Edward J. Golob, Peyman Najafirad:
Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements. CoRR abs/2010.01231 (2020)
2010 – 2019
- 2019
- [j1]Arun Das
, Paul Rad, Kim-Kwang Raymond Choo
, Babak Nouhi, Jonathan Lish, James Martel
:
Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression. Future Gener. Comput. Syst. 93: 486-498 (2019) - [c3]Alicja Kwasniewska, Maciej Szankin, Mateusz Ozga, Jason Wolfe, Arun Das
, Adam Zajac, Jacek Ruminski
, Paul Rad:
Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters. IECON 2019: 96-101 - 2018
- [c2]Amin Sahba, Arun Das
, Paul Rad, Mo M. Jamshidi:
Image Graph Production by Dense Captioning. WAC 2018: 1-5 - 2017
- [c1]Sharaj Panwar, Arun Das
, Mehdi Roopaei, Paul Rad:
A deep learning approach for mapping music genres. SoSE 2017: 1-5
Coauthor Index
aka: Paul Rad
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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