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ORCIDEhsan Hosseini-Asl
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2020 – today
- 2022
[c16]Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong:
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. NAACL-HLT (Findings) 2022: 770-787- [i12]Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong:
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. CoRR abs/2204.05356 (2022) - 2021
- [c15]Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl:
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. EACL 2021: 1754-1761 - [i11]Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl:
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. CoRR abs/2101.06829 (2021) - 2020
- [c14]Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher:
A Simple Language Model for Task-Oriented Dialogue. NeurIPS 2020 - [i10]Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu, Semih Yavuz, Richard Socher:
A Simple Language Model for Task-Oriented Dialogue. CoRR abs/2005.00796 (2020)
2010 – 2019
- 2019
- [c13]Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung:
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. ACL (1) 2019: 808-819 - [c12]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation. ICLR (Poster) 2019 - [i9]Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung:
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. CoRR abs/1905.08743 (2019) - 2018
- [c11]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. INTERSPEECH 2018: 3758-3762 - [i8]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. CoRR abs/1804.00522 (2018) - [i7]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Domain Adaptation. CoRR abs/1807.00374 (2018) - [i6]Elnaz Nouri, Ehsan Hosseini-Asl:
Toward Scalable Neural Dialogue State Tracking Model. CoRR abs/1812.00899 (2018) - 2017
- [j3]Islam Reda, Ahmed Shalaby, Mohammed M. Elmogy
, Ahmed Abou Elfotouh, Fahmi Khalifa, Mohamed Abou El-Ghar, Ehsan Hosseini-Asl, Georgy L. Gimel'farb, Naoufel Werghi, Ayman El-Baz:
A comprehensive non-invasive framework for diagnosing prostate cancer. Comput. Biol. Medicine 81: 148-158 (2017) - [c10]Marwa Ismail, Gregory Barnes, Matthew Nitzken, Andrew E. Switala, Ahmed Shalaby, Ehsan Hosseini-Asl, Manuel Casanova, Robert Keynton, Ashraf Khalil, Ayman El-Baz:
A new deep-learning approach for early detection of shape variations in autism using structural mri. ICIP 2017: 1057-1061 - 2016
- [j2]Ehsan Hosseini-Asl, Jacek M. Zurada, Georgy L. Gimel'farb, Ayman El-Baz:
3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization. IEEE Trans. Biomed. Eng. 63(5): 952-963 (2016) - [j1]Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui:
Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2486-2498 (2016) - [c9]Babajide O. Ayinde, Ehsan Hosseini-Asl, Jacek M. Zurada:
Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning. ICAISC (1) 2016: 3-14 - [c8]Ehsan Hosseini-Asl, Robert Keynton, Ayman El-Baz:
Alzheimer's disease diagnostics by adaptation of 3D convolutional network. ICIP 2016: 126-130 - [c7]Mohamed Shehata, Fahmi Khalifa, Elizabeth Hollis, Ahmed Soliman, Ehsan Hosseini-Asl, Mohamed Abou El-Ghar, Maryam El-Baz, Amy C. Dwyer, Ayman El-Baz, Robert Keynton:
A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI. ICIP 2016: 136-140 - [c6]Islam Reda, Ahmed Shalaby, Fahmi Khalifa, Mohammed M. Elmogy, Ahmed Aboulfotouh, Mohamed Abou El-Ghar, Ehsan Hosseini-Asl, Naoufel Werghi, Robert Keynton, Ayman El-Baz:
Computer-aided diagnostic tool for early detection of prostate cancer. ICIP 2016: 2668-2672 - [c5]Islam Reda, Ahmed Shalaby, Mohamed Abou El-Ghar, Fahmi Khalifa, Mohammed M. Elmogy, Ahmed Aboulfotouh, Ehsan Hosseini-Asl, Ayman El-Baz, Robert Keynton:
A new NMF-autoencoder based CAD system for early diagnosis of prostate cancer. ISBI 2016: 1237-1240 - [i5]Ehsan Hosseini-Asl, Jacek M. Zurada, Olfa Nasraoui:
Deep Learning of Part-based Representation of Data Using Sparse Autoencoders with Nonnegativity Constraints. CoRR abs/1601.02733 (2016) - [i4]Ehsan Hosseini-Asl, Jacek M. Zurada:
Structured Sparse Convolutional Autoencoder. CoRR abs/1604.04812 (2016) - [i3]Ehsan Hosseini-Asl, Robert Keynton, Ayman El-Baz:
Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network. CoRR abs/1607.00455 (2016) - [i2]Ehsan Hosseini-Asl, Georgy L. Gimel'farb, Ayman El-Baz:
Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network. CoRR abs/1607.00556 (2016) - 2015
- [c4]Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz:
Automatic segmentation of pathological lung using incremental nonnegative matrix factorization. ICIP 2015: 3111-3115 - [i1]Ehsan Hosseini-Asl, Angshuman Guha:
Similarity-based Text Recognition by Deeply Supervised Siamese Network. CoRR abs/1511.04397 (2015) - 2014
- [c3]Ehsan Hosseini-Asl, Jacek M. Zurada:
Nonnegative Matrix Factorization for Document Clustering: A Survey. ICAISC (2) 2014: 726-737 - [c2]Ehsan Hosseini-Asl, Jacek M. Zurada, Ayman El-Baz:
Lung segmentation based on Nonnegative Matrix Factorization. ICIP 2014: 877-881 - 2013
- [c1]Jacek M. Zurada, Tolga Ensari, Ehsan Hosseini-Asl, Jan Chorowski:
Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining. FedCSIS 2013: 11-16
Coauthor Index
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