A deep learning approach for mapping music genres. - Sharaj Panwar; Arun Das 001; Mehdi Roopaei; Paul Rad (SoSE, 2017)

Image Graph Production by Dense Captioning. - Amin Sahba; Arun Das 001; Paul Rad; Mo M. Jamshidi (WAC, 2018)

Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters. - Alicja Kwasniewska; Maciej Szankin; Mateusz Ozga; Jason Wolfe; Arun Das 001; Adam Zajac; Jacek Ruminski; Paul Rad (IECON, 2019)

Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression. - Arun Das 001; Paul Rad; Kim-Kwang Raymond Choo; Babak Nouhi; Jonathan Lish; James Martel (Future Gener. Comput. Syst., 2019)

Studying Adversarial Attacks on Behavioral Cloning Dynamics. - Garrett Hall; Arun Das 001; John Quarles; Paul Rad (ICTAI, 2020)

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey. - Arun Das 001; Paul Rad (CoRR, 2020)

Stuttering Speech Disfluency Prediction using Explainable Attribution Vectors of Facial Muscle Movements. - Arun Das 001; Jeffrey Mock; Henry Chacon; Farzan Irani; Edward J. Golob; Peyman Najafirad (CoRR, 2020)

Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. - Arun Das 001; Jeffrey Mock; Yufei Huang 001; Edward J. Golob; Peyman Najafirad (AAAI, 2021)

AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment. - Shadi Ghafghazi; Amarie Carnett; Leslie Neely; Arun Das 001; Paul Rad (CoRR, 2021)

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification. - Samuel Henrique Silva; Arun Das 001; Ian Scarff; Peyman Najafirad (CoRR, 2021)

Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification on Social Networks. - Samuel Henrique Silva; Arun Das 001; Adel Alaeddini; Peyman Najafirad (ICWSM, 2022)

Distributed AI-Driven Search Engine on Visual Internet-of-Things for Event Discovery in the Cloud. - Arun Das 001; Mehdi Roopaei; Mo M. Jamshidi; Peyman Najafirad (SoSE, 2022)

Can Hierarchical Transformers Learn Facial Geometry? - Paul Young; Nima Ebadi; Arun Das 001; Mazal Bethany; Kevin Desai; Peyman Najafirad (Sensors, 2023)

CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation. - Nima Ebadi; Ruiqi Li; Arun Das 001; Arkajyoti Roy; Papanikolaou Nikos; Peyman Najafirad (Medical Image Anal., 2023)

ReguloGPT: Harnessing GPT for End-to-End Knowledge Graph Construction of Molecular Regulatory Pathways. - Xidong Wu; Sumin Jo; Yiming Zeng 014; Arun Das 001; Tinghe Zhang; Parth Patel; Yuanjing Wei; Lei Li; Shou-Jiang Gao; Jianqiu Zhang 002; Dexter Pratt; Yu-Chiao Chiu; et al. (BHI, 2024)