Ali Emami

Orcid: 0000-0001-5863-8304

According to our database1, Ali Emami authored at least 44 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries.
CoRR, 2024

WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Dynamic-Pix2Pix: Medical image segmentation by injecting noise to cGAN for modeling input and target domain joint distributions with limited training data.
Biomed. Signal Process. Control., August, 2023

DGAFF: Deep genetic algorithm fitness Formation for EEG Bio-Signal channel selection.
Biomed. Signal Process. Control., 2023

Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

The Turing Quest: Can Transformers Make Good NPCs?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023

2022
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data.
CoRR, 2022

An Application of Pseudo-Log-Likelihoods to Natural Language Scoring.
CoRR, 2022

2021
EBST: An Evolutionary Multi-Objective Optimization Based Tool for Discovering Potential Biomarkers in Ovarian Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Predicting irregularities in arrival times for transit buses with recurrent neural networks using GPS coordinates and weather data.
J. Ambient Intell. Humaniz. Comput., 2021

Detection of COVID-19 in X-ray images by classification of bag of visual words using neural networks.
Biomed. Signal Process. Control., 2021

ADEPT: An Adjective-Dependent Plausibility Task.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
BlessMark: a blind diagnostically-lossless watermarking framework for medical applications based on deep neural networks.
Multim. Tools Appl., 2020

ReDMark: Framework for residual diffusion watermarking based on deep networks.
Expert Syst. Appl., 2020

Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning.
CoRR, 2020

Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales.
CoRR, 2020

Convolutional neural network with autoencoder-assisted multiclass labelling for seizure detection based on scalp electroencephalography.
Comput. Biol. Medicine, 2020

An Analysis of Dataset Overlap on Winograd-Style Tasks.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Real-time removal of impulse noise from MR images for radiosurgery applications.
Int. J. Circuit Theory Appl., 2019

Gland Segmentation in Histopathological Images by Deep Neural Network.
CoRR, 2019

Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks.
CoRR, 2019

BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks.
CoRR, 2019

Autoencoding of long-term scalp electroencephalogram to detect epileptic seizure for diagnosis support system.
Comput. Biol. Medicine, 2019

Exploiting Uncertainty of Deep Neural Networks for Improving Segmentation Accuracy in MRI Images.
Proceedings of the IEEE International Conference on Acoustics, 2019

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding.
CoRR, 2018

The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution.
CoRR, 2018

ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks.
CoRR, 2018

Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images.
CoRR, 2018

Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference.
CoRR, 2018

Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks.
CoRR, 2018

Adaptive Reversible Watermarking Based on Linear Prediction for Medical Videos.
CoRR, 2018

A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Power Allocation in Optical Coherent Transmission Systems Using Discretized-Enhanced Gaussian Noise Model.
Proceedings of the 9th International Symposium on Telecommunications, 2018

A Knowledge Hunting Framework for Common Sense Reasoning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Modeling Glucagon Action in Patients With Type 1 Diabetes.
IEEE J. Biomed. Health Informatics, 2017

2015
Occlusion handling in video surveillance systems
PhD thesis, 2015

Novelty detection in human tracking based on spatiotemporal oriented energies.
Pattern Recognit., 2015

2012
Role of Spatiotemporal Oriented Energy Features for Robust Visual Tracking in Video Surveillance.
Proceedings of the Ninth IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2012

2010
High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010


  Loading...