Ehsan Hosseini-Asl

According to our database1, Ehsan Hosseini-Asl authored at least 24 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2022
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis.
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.
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.
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.
Proceedings of the 7th International Conference on Learning Representations, 2019

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Toward Scalable Neural Dialogue State Tracking Model.
CoRR, 2018

Augmented Cyclic Adversarial Learning for Domain Adaptation.
CoRR, 2018

A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation.
Proceedings of the Interspeech 2018, 2018

2017
A comprehensive non-invasive framework for diagnosing prostate cancer.
Comput. Biol. Medicine, 2017

A new deep-learning approach for early detection of shape variations in autism using structural mri.
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.
IEEE Trans. Neural Networks Learn. Syst., 2016

3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization.
IEEE Trans. Biomed. Eng., 2016

Structured Sparse Convolutional Autoencoder.
CoRR, 2016

Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network.
CoRR, 2016

A new NMF-autoencoder based CAD system for early diagnosis of prostate cancer.
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.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Computer-aided diagnostic tool for early detection of prostate cancer.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Alzheimer's disease diagnostics by adaptation of 3D convolutional network.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
Similarity-based Text Recognition by Deeply Supervised Siamese Network.
CoRR, 2015

Automatic segmentation of pathological lung using incremental nonnegative matrix factorization.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Lung segmentation based on Nonnegative Matrix Factorization.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Nonnegative Matrix Factorization for Document Clustering: A Survey.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013


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