Ali Emami
Orcid: 0000-0001-5863-8304
According to our database1,
Ali Emami
authored at least 52 papers
between 2010 and 2025.
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Bibliography
2025
Can We Afford The Perfect Prompt? Balancing Cost and Accuracy with the Economical Prompting Index.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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
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
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
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
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
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Int. J. Circuit Theory Appl., 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
CoRR, 2018
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution.
CoRR, 2018
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
CoRR, 2018
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
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
IEEE J. Biomed. Health Informatics, 2017
2015
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