Arun Das

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation.

Nima Ebadi, Ruiqi Li, Arun Das, Arkajyoti Roy, Papanikolaou Nikos, Peyman Najafirad

Medical Image Anal., May, 2023

Can Hierarchical Transformers Learn Facial Geometry?

Paul Young, Nima Ebadi, Arun Das, Mazal Bethany, Kevin Desai, Peyman Najafirad

Sensors, January, 2023

2022

Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud.

Arun Das, Mehdi Roopaei, Mo M. Jamshidi, Peyman Najafirad

Proceedings of the 17th Annual System of Systems Engineering Conference, 2022

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks.

Samuel Henrique Silva, Arun Das, Adel Alaeddini, Peyman Najafirad

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification.

Samuel Henrique Silva, Arun Das, Ian Scarff, Peyman Najafirad

CoRR, 2021

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

Shadi Ghafghazi, Amarie Carnett, Leslie Neely, Arun Das, Paul Rad

CoRR, 2021

Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders.

Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Arun Das, Jeffrey Mock, Henry Chacon, Farzan Irani, Edward J. Golob, Peyman Najafirad

CoRR, 2020

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

Arun Das, Paul Rad

CoRR, 2020

Studying Adversarial Attacks on Behavioral Cloning Dynamics.

Garrett Hall, Arun Das, John Quarles, Paul Rad

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.

Arun Das, Paul Rad, Kim-Kwang Raymond Choo, Babak Nouhi, Jonathan Lish, James Martel

Future Gener. Comput. Syst., 2019

Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters.

Alicja Kwasniewska, Maciej Szankin, Mateusz Ozga, Jason Wolfe, Arun Das, Adam Zajac, Jacek Ruminski, Paul Rad

Proceedings of the IECON 2019, 2019

2018

Image Graph Production by Dense Captioning.

Amin Sahba, Arun Das, Paul Rad, Mo M. Jamshidi

Proceedings of the 2018 World Automation Congress, 2018

2017

A deep learning approach for mapping music genres.

Sharaj Panwar, Arun Das, Mehdi Roopaei, Paul Rad

Proceedings of the 12th System of Systems Engineering Conference, 2017