Ehsan Hosseini-Asl

Wenhao Liu

Caiming Xiong

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021

Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

A Simple Language Model for Task-Oriented Dialogue.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Toward Scalable Neural Dialogue State Tracking Model.

[BibT_eX]

[DOI]

Elnaz Nouri

CoRR, 2018

Augmented Cyclic Adversarial Learning for Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2018

A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

A comprehensive non-invasive framework for diagnosing prostate cancer.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2017

A new deep-learning approach for early detection of shape variations in autism using structural mri.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints.

[BibT_eX]

[DOI]

Olfa Nasraoui

IEEE Trans. Neural Networks Learn. Syst., 2016

3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2016

Structured Sparse Convolutional Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2016

Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network.

[BibT_eX]

[DOI]

Georgy L. Gimel'farb

CoRR, 2016

A new NMF-autoencoder based CAD system for early diagnosis of prostate cancer.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

A new non-invasive approach for early classification of renal rejection types using diffusion-weighted MRI.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Computer-aided diagnostic tool for early detection of prostate cancer.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Alzheimer's disease diagnostics by adaptation of 3D convolutional network.

[BibT_eX]

[DOI]

Robert Keynton

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning.

[BibT_eX]

[DOI]

Babajide O. Ayinde

Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015

Similarity-based Text Recognition by Deeply Supervised Siamese Network.

[BibT_eX]

[DOI]

Angshuman Guha

CoRR, 2015

Automatic segmentation of pathological lung using incremental nonnegative matrix factorization.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Lung segmentation based on Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Nonnegative Matrix Factorization for Document Clustering: A Survey.

[BibT_eX]

[DOI]