Arun Das

Orcid: 0000-0001-7512-0523

Affiliations:
  • University of Texas at San Antonio, TX, USA


According to our database1, Arun Das authored at least 14 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation.
Medical Image Anal., May, 2023

Can Hierarchical Transformers Learn Facial Geometry?
Sensors, January, 2023

2022
Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud.
Proceedings of the 17th Annual System of Systems Engineering Conference, 2022

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification.
CoRR, 2021

AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment.
CoRR, 2021

Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements.
CoRR, 2020

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey.
CoRR, 2020

Studying Adversarial Attacks on Behavioral Cloning Dynamics.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression.
Future Gener. Comput. Syst., 2019

Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters.
Proceedings of the IECON 2019, 2019

2018
Image Graph Production by Dense Captioning.
Proceedings of the 2018 World Automation Congress, 2018

2017
A deep learning approach for mapping music genres.
Proceedings of the 12th System of Systems Engineering Conference, 2017


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