| Opportunities and challenges in explainable artificial intelligence (xai): A survey A Das, P Rad arXiv preprint arXiv:2006.11371, 2020 | 723 | 2020 |
| Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression A Das, P Rad, KKR Choo, B Nouhi, J Lish, J Martel Future Generation Computer Systems 93, 486-498, 2019 | 82 | 2019 |
| Comparative effects of two different forms of selenium on oxidative stress biomarkers in healthy men: a randomized clinical trial JP Richie Jr, A Das, AM Calcagnotto, R Sinha, W Neidig, J Liao, ... Cancer Prevention Research 7 (8), 796-804, 2014 | 62 | 2014 |
| A deep learning approach for mapping music genres S Panwar, A Das, M Roopaei, P Rad 2017 12th System of Systems Engineering Conference (SoSE), 1-5, 2017 | 39 | 2017 |
| Patient facial emotion recognition and sentiment analysis using secure cloud with hardware acceleration AD Torres, H Yan, AH Aboutalebi, A Das, L Duan, P Rad Computational Intelligence for Multimedia Big Data on the Cloud with …, 2018 | 33 | 2018 |
| Proteomic profiling of human plasma identifies apolipoprotein E as being associated with smoking and a marker for squamous metaplasia of the lung SJ Rice, X Liu, B Miller, M Joshi, J Zhu, C Caruso, C Gilbert, J Toth, ... Proteomics 15 (18), 3267-3277, 2015 | 25 | 2015 |
| Opportunities and challenges in explainable artificial intelligence (XAI): a survey (2020) A Das, P Rad URL: http://arxiv. org/pdf/2006.11371 v2, 2006 | 23 | 2006 |
| Image graph production by dense captioning A Sahba, A Das, P Rad, M Jamshidi 2018 World Automation Congress (WAC), 1-5, 2018 | 21 | 2018 |
| AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment S Ghafghazi, A Carnett, L Neely, A Das, P Rad IEEE Systems Man and Cybernetics Magazine 7 (4), 4-12, 2021 | 18 | 2021 |
| Deep learning optimization for edge devices: Analysis of training quantization parameters A Kwasniewska, M Szankin, M Ozga, J Wolfe, A Das, A Zajac, J Ruminski, ... IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019 | 17 | 2019 |
| Stuttering speech disfluency prediction using explainable attribution vectors of facial muscle movements A Das, J Mock, H Chacon, F Irani, E Golob, P Najafirad arXiv preprint arXiv:2010.01231, 2020 | 14 | 2020 |
| Interpretable self-supervised facial micro-expression learning to predict cognitive state and neurological disorders A Das, J Mock, Y Huang, E Golob, P Najafirad Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 818-826, 2021 | 13 | 2021 |
| A Distributed Secure Machine-Learning Cloud Architecture for Semantic Analysis A Das, WM Lin, P Rad Applied Cloud Deep Semantic Recognition, 145-174, 2018 | 13 | 2018 |
| Systems and methods for evaluating individual, group, and crowd emotion engagement and attention P Najafirad, A Das US Patent 11,182,597, 2021 | 10 | 2021 |
| Molecular and immune signatures, and pathological trajectories of fatal COVID‐19 lungs defined by in situ spatial single‐cell transcriptome analysis A Das, W Meng, Z Liu, MM Hasib, H Galloway, S Ramos da Silva, L Chen, ... Journal of Medical Virology 95 (8), e29009, 2023 | 6 | 2023 |
| Adaptive clustering of robust semantic representations for adversarial image purification SH Silva, A Das, I Scarff, P Najafirad arXiv preprint arXiv:2104.02155, 2021 | 6 | 2021 |
| CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation N Ebadi, R Li, A Das, A Roy, P Nikos, P Najafirad Medical Image Analysis 86, 102800, 2023 | 5 | 2023 |
| Multimodal explainable AI predicts upcoming speech behavior in adults who stutter A Das, J Mock, F Irani, Y Huang, P Najafirad, E Golob Frontiers in Neuroscience 16, 912798, 2022 | 5 | 2022 |
| Studying adversarial attacks on behavioral cloning dynamics G Hall, A Das, J Quarles, P Rad 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 4 | 2020 |
| Can Hierarchical Transformers Learn Facial Geometry? P Young, N Ebadi, A Das, M Bethany, K Desai, P Najafirad Sensors 23 (2), 929, 2023 | 2 | 2023 |
Peyman Najafirad (Paul Rad)University of Texas at San AntonioVerified email at utsa.edu
