High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU. - Ali Emami; Abbas Bigdeli; Adam Postula (DICTA, 2010)

Role of Spatiotemporal Oriented Energy Features for Robust Visual Tracking in Video Surveillance. - Ali Emami; Farhad Dadgostar; Abbas Bigdeli; Brian C. Lovell (AVSS, 2012)

Novelty detection in human tracking based on spatiotemporal oriented energies. - Ali Emami; Mehrtash Tafazzoli Harandi; Farhad Dadgostar; Brian C. Lovell (Pattern Recognit., 2015)

Occlusion handling in video surveillance systems - Ali Emami (2015)

Modeling Glucagon Action in Patients With Type 1 Diabetes. - Ali Emami; Joseph El Youssef; Remi Rabasa-Lhoret; Joelle Pineau; Jessica R. Castle; Ahmad Haidar (IEEE J. Biomed. Health Informatics, 2017)

Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background. - Mahdi Ahmadi; Ali Emami; Mohsen Hajabdollahi; S. M. Reza Soroushmehr; Nader Karimi; Shadrokh Samavi; Kayvan Najarian (EMBC, 2018)

A Knowledge Hunting Framework for Common Sense Reasoning. - Ali Emami; Noelia De La Cruz; Adam Trischler; Kaheer Suleman; Jackie Chi Kit Cheung (EMNLP, 2018)

Power Allocation in Optical Coherent Transmission Systems Using Discretized-Enhanced Gaussian Noise Model. - Ramin Hashemi; Mehdi Habibi; Hamzeh Beyranvand; Ali Emami; Mehdi Hashemi; Davood Ranjbar Rafie (IST, 2018)

A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge. - Ali Emami; Adam Trischler; Kaheer Suleman; Jackie Chi Kit Cheung (NAACL-HLT (Student Research Workshop), 2018)

Adaptive Reversible Watermarking Based on Linear Prediction for Medical Videos. - Hamidreza Zarrabi; Ali Emami; Nader Karimi; Shadrokh Samavi (CoRR, 2018)

Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks. - Atefe Rajaeefar; Ali Emami; S. M. Reza Soroushmehr; Nader Karimi; Shadrokh Samavi; Kayvan Najarian (CoRR, 2018)

Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference. - Alireza Norouzi; Ali Emami; S. M. Reza Soroushmehr; Nader Karimi; Shadrokh Samavi; Kayvan Najarian (CoRR, 2018)

Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images. - Zahra Sobhaninia; Safiyeh Rezaei; Alireza Noroozi; Mehdi Ahmadi; Hamidreza Zarrabi; Nader Karimi; Ali Emami; Shadrokh Samavi (CoRR, 2018)

ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks. - Mahdi Ahmadi; Alireza Norouzi; S. M. Reza Soroushmehr; Nader Karimi; Kayvan Najarian; Shadrokh Samavi; Ali Emami (CoRR, 2018)

The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. - Ali Emami; Paul Trichelair; Adam Trischler; Kaheer Suleman; Hannes Schulz; Jackie Chi Kit Cheung (CoRR, 2018)

On the Evaluation of Common-Sense Reasoning in Natural Language Understanding. - Paul Trichelair; Ali Emami; Jackie Chi Kit Cheung; Adam Trischler; Kaheer Suleman; Fernando Diaz 001 (CoRR, 2018)

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. - Ali Emami; Paul Trichelair; Adam Trischler; Kaheer Suleman; Hannes Schulz; Jackie Chi Kit Cheung (ACL (1), 2019)

Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features. - Safiyeh Rezaei; Ali Emami; Hamidreza Zarrabi; Shima Rafiei; Kayvan Najarian; Nader Karimi; Shadrokh Samavi; S. M. Reza Soroushmehr (EMBC, 2019)

Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning. - Zahra Sobhaninia; Shima Rafiei; Ali Emami; Nader Karimi; Kayvan Najarian; Shadrokh Samavi; S. M. Reza Soroushmehr (EMBC, 2019)

How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG. - Paul Trichelair; Ali Emami; Adam Trischler; Kaheer Suleman; Jackie Chi Kit Cheung (EMNLP/IJCNLP (1), 2019)

Exploiting Uncertainty of Deep Neural Networks for Improving Segmentation Accuracy in MRI Images. - Alireza Norouzi; Ali Emami; Kayvan Najarian; Nader Karimi; Shadrokh Samavi; S. M. Reza Soroushmehr (ICASSP, 2019)

Autoencoding of long-term scalp electroencephalogram to detect epileptic seizure for diagnosis support system. - Ali Emami; Naoto Kunii; Takeshi Matsuo; Takashi Shinozaki; Kensuke Kawai; Hirokazu Takahashi (Comput. Biol. Medicine, 2019)

BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks. - Hamidreza Zarrabi; Ali Emami; Pejman Khadivi; S. M. Reza Soroushmehr; Nader Karimi; Kayvan Najarian; Shadrokh Samavi (CoRR, 2019)

Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks. - Zahra Sobhaninia; Ali Emami; Nader Karimi; Shadrokh Samavi (CoRR, 2019)

Gland Segmentation in Histopathological Images by Deep Neural Network. - Safiyeh Rezaei; Ali Emami; Nader Karimi; Shadrokh Samavi (CoRR, 2019)

Real-time removal of impulse noise from MR images for radiosurgery applications. - Zohreh HosseinKhani; Mohsen Hajabdollahi; Nader Karimi; Kayvan Najarian; Ali Emami; Shahram Shirani; Shadrokh Samavi; Sayed Mohammad Reza Soroushmehr (Int. J. Circuit Theory Appl., 2019)

An Analysis of Dataset Overlap on Winograd-Style Tasks. - Ali Emami; Kaheer Suleman; Adam Trischler; Jackie Chi Kit Cheung (COLING, 2020)

Convolutional neural network with autoencoder-assisted multiclass labelling for seizure detection based on scalp electroencephalography. - Hirokazu Takahashi; Ali Emami; Takashi Shinozaki; Naoto Kunii; Takeshi Matsuo; Kensuke Kawai (Comput. Biol. Medicine, 2020)

Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales. - Zahra Sobhaninia; Safiyeh Rezaei; Nader Karimi; Ali Emami; Shadrokh Samavi (CoRR, 2020)

Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning. - Ghazale Ghorbanzade; Zahra Nabizadeh-ShahreBabak; Shadrokh Samavi; Nader Karimi; Ali Emami; Pejman Khadivi (CoRR, 2020)

ReDMark: Framework for residual diffusion watermarking based on deep networks. - Mahdi Ahmadi; Alireza Norouzi; Nader Karimi; Shadrokh Samavi; Ali Emami (Expert Syst. Appl., 2020)

BlessMark: a blind diagnostically-lossless watermarking framework for medical applications based on deep neural networks. - Hamidreza Zarrabi; Ali Emami; Pejman Khadivi; Nader Karimi; Shadrokh Samavi (Multim. Tools Appl., 2020)

ADEPT: An Adjective-Dependent Plausibility Task. - Ali Emami; Ian Porada; Alexandra Olteanu; Kaheer Suleman; Adam Trischler; Jackie Chi Kit Cheung (ACL/IJCNLP (1), 2021)

Detection of COVID-19 in X-ray images by classification of bag of visual words using neural networks. - Zahra Nabizadeh-ShahreBabak; Nader Karimi; Pejman Khadivi; Roshanak Roshandel; Ali Emami; Shadrokh Samavi (Biomed. Signal Process. Control., 2021)

Predicting irregularities in arrival times for transit buses with recurrent neural networks using GPS coordinates and weather data. - Omar Alam; Anshuman Kush; Ali Emami; Parisa Pouladzadeh (J. Ambient Intell. Humaniz. Comput., 2021)

EBST: An Evolutionary Multi-Objective Optimization Based Tool for Discovering Potential Biomarkers in Ovarian Cancer. - Hanif Yaghoobi; Esmaeil Babaei; Bashdar Mahmud Hussen; Ali Emami (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

An Application of Pseudo-Log-Likelihoods to Natural Language Scoring. - Darren Abramson 001; Ali Emami (CoRR, 2022)

Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data. - Mohammadreza Naderi; Nader Karimi; Ali Emami; Shahram Shirani; Shadrokh Samavi (CoRR, 2022)

The Turing Quest: Can Transformers Make Good NPCs? - Qi Chen Gao; Ali Emami (ACL (student), 2023)

Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models. - Robert Morabito; Jad Kabbara; Ali Emami (ACL (Findings), 2023)

DGAFF: Deep genetic algorithm fitness Formation for EEG Bio-Signal channel selection. - Ghazaleh Ghorbanzadeh; Zahra Nabizadeh; Nader Karimi; Pejman Khadivi; Ali Emami; Shadrokh Samavi (Biomed. Signal Process. Control., 2023)

Dynamic-Pix2Pix: Medical image segmentation by injecting noise to cGAN for modeling input and target domain joint distributions with limited training data. - Mohammadreza Naderi; Nader Karimi; Ali Emami; Shahram Shirani; Shadrokh Samavi (Biomed. Signal Process. Control., 2023)

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models. - Abhishek Kumar; Robert Morabito; Sanzhar Umbet; Jad Kabbara; Ali Emami (ACL (1), 2024)

Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models. - Abhishek Kumar; Sarfaroz Yunusov; Ali Emami (ACL (1), 2024)

Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition. - Tyler McDonald; Ali Emami (ACL (Student Research Workshop), 2024)

Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge. - Brendan Park; Madeline Janecek; Naser Ezzati-Jivan; Yifeng Li; Ali Emami (ACL (1), 2024)

EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries. - Jing Han Sun; Ali Emami (LREC/COLING, 2024)

WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts. - Pardis Sadat Zahraei; Ali Emami (EACL (1), 2024)

STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions. - Robert Morabito; Sangmitra Madhusudan; Tyler McDonald; Ali Emami (EMNLP, 2024)

MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models. - Sarfaroz Yunusov; Hamza Sidat; Ali Emami (EMNLP, 2024)

Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations. - Pardis Sadat Zahraei; Ali Emami (ACL (Findings), 2025)

NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers. - Angel Yahir Loredo Lopez; Tyler McDonald; Ali Emami (COLING, 2025)

Can We Afford The Perfect Prompt? Balancing Cost and Accuracy with the Economical Prompting Index. - Tyler McDonald; Anthony Colosimo; Yifeng Li; Ali Emami (COLING, 2025)

Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books. - Sangmitra Madhusudan; Robert Morabito; Skye Reid; Nikta Gohari Sadr; Ali Emami (NAACL (Long Papers), 2025)

Think or Step-by-Step? UnZIPping the Black Box in Zero-Shot Prompts. - Nikta Gohari Sadr; Sangmitra Madhusudan; Ali Emami (CoRR, 2025)

TALE: A Tool-Augmented Framework for Reference-Free Evaluation of Large Language Models. - Sher Badshah; Ali Emami; Hassan Sajjad 001 (CoRR, 2025)

Beyond Content: How Grammatical Gender Shapes Visual Representation in Text-to-Image Models. - Muhammed Saeed; Shaina Raza; Ashmal Vayani; Muhammad Abdul-Mageed; Ali Emami; Shady Shehata (CoRR, 2025)

The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities. - Harsh Nishant Lalai; Raj Sanjay Shah; Jiaxin Pei; Sashank Varma; Yi-Chia Wang; Ali Emami (CoRR, 2025)

Personality Matters: User Traits Predict LLM Preferences in Multi-Turn Collaborative Tasks. - Sarfaroz Yunusov; Kaige Chen; Kazi Nishat Anwar; Ali Emami (CoRR, 2025)

We Politely Insist: Your LLM Must Learn the Persian Art of Taarof. - Nikta Gohari Sadr; Sahar Heidariasl; Karine Megerdoomian; Laleh Seyyed-Kalantari; Ali Emami (CoRR, 2025)

The Dog the Cat Chased Stumped the Model: Measuring When Language Models Abandon Structure for Shortcuts. - Sangmitra Madhusudan; Kaige Chen; Ali Emami (CoRR, 2025)