| Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network E Hosseini-Asl, G Gimel'farb, A El-Baz arXiv:1607.00556 [cs.LG; q-bio.NC; stat.ML], 2016 | 754* | 2016 |
| A simple language model for task-oriented dialogue E Hosseini-Asl, B McCann, CS Wu, S Yavuz, R Socher Neural information processing systems (NeurIPS), 2020 - Spotlight, 2020 | 510 | 2020 |
| Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems CS Wu, A Madotto, E Hosseini-Asl, C Xiong, R Socher, P Fung ACL 2019, Outstanding Paper Award, 2019 | 472 | 2019 |
| Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints E Hosseini-Asl, JM Zurada, O Nasraoui IEEE Transactions on Neural Network and Learning Systems, 2015 | 230 | 2015 |
| Toward Scalable Neural Dialogue State Tracking Model E Nouri, E Hosseini-Asl NeurIPS 2018, 2nd Conversational AI workshop, 2018 | 102 | 2018 |
| Systems and methods for learning for domain adaptation E Hosseini-Asl, C Xiong, Y Zhou, R Socher US Patent 11,106,182, 2021 | 69 | 2021 |
| Unsupervised non-parallel speech domain adaptation using a multi-discriminator adversarial network E Hosseini-Asl, C Xiong, Y Zhou, R Socher US Patent 10,783,875, 2020 | 68 | 2020 |
| A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI M Shehata, F Khalifa, E Hollis, A Soliman, E Hosseini-Asl, ... 2016 IEEE International Conference on Image Processing (ICIP), 136-140, 2016 | 68 | 2016 |
| Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation E Hosseini-Asl, Y Zhou, C Xiong, R Socher ICLR 2019, 2018 | 67 | 2018 |
| A multi-discriminator cyclegan for unsupervised non-parallel speech domain adaptation E Hosseini-Asl, Y Zhou, C Xiong, R Socher INTERSPEECH 2018, 2018 | 58 | 2018 |
| A comprehensive non-invasive framework for diagnosing prostate cancer I Reda, A Shalaby, M Elmogy, A Abou Elfotouh, F Khalifa, M Abou El-Ghar, ... Computers in biology and medicine 81, 148-158, 2017 | 46 | 2017 |
| Computer-aided diagnostic tool for early detection of prostate cancer I Reda, A Shalaby, F Khalifa, M Elmogy, A Aboulfotouh, M Abou El-Ghar, ... 2016 IEEE International Conference on Image Processing (ICIP), 2668-2672, 2016 | 39 | 2016 |
| 3D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization E Hosseini-Asl, J Zurada, G Gimel'farb, A El-Baz IEEE Transactions on Biomedical Engineering, 2015 | 37 | 2015 |
| Generative language model for few-shot aspect-based sentiment analysis E Hosseini-Asl, W Liu US Patent 11,853,706, 2023 | 33 | 2023 |
| A new deep-learning approach for early detection of shape variations in autism using structural mri M Ismail, G Barnes, M Nitzken, A Switala, A Shalaby, E Hosseini-Asl, ... 2017 IEEE International Conference on Image Processing (ICIP), 1057-1061, 2017 | 33 | 2017 |
| A new NMF-autoencoder based CAD system for early diagnosis of prostate cancer I Reda, A Shalaby, M Abou El-Ghar, F Khalifa, M Elmogy, A Aboulfotouh, ... 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1237-1240, 2016 | 32 | 2016 |
| Lung segmentation based on Nonnegative Matrix Factorization E Hosseini-Asl, JM Zurada, A El-Baz Image Processing (ICIP), 2014 IEEE International Conference on, 877-881, 2014 | 19 | 2014 |
| Visualizing and understanding nonnegativity constrained sparse autoencoder in deep learning BO Ayinde, E Hosseini-Asl, JM Zurada Artificial Intelligence and Soft Computing: 15th International Conference …, 2016 | 18 | 2016 |
| Joint energy-based model training for better calibrated natural language understanding models T He, B McCann, C Xiong, E Hosseini-Asl arXiv preprint arXiv:2101.06829, 2021 | 17 | 2021 |
| Nonnegative Matrix Factorization for Document Clustering: A Survey E Hosseini-Asl, JM Zurada Artificial Intelligence and Soft Computing 8648, 726-737, 2014 | 16 | 2014 |
Ayman El-BazDistinguished Professor, Chair of Bioengineering, and University Scholar, University of Louisville在 louisville.edu 的电子邮件经过验证
