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2020 – today
- 2024
[c23]Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami:
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models. ACL (1) 2024: 315-334- [c22]Brendan Park, Madeline Janecek, Naser Ezzati-Jivan, Yifeng Li, Ali Emami:
Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge. ACL (1) 2024: 355-374 - [c21]Abhishek Kumar, Sarfaroz Yunusov, Ali Emami:
Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models. ACL (1) 2024: 375-392 - [c20]Tyler McDonald, Ali Emami:
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition. ACL (Student Research Workshop) 2024: 397-410 - [c19]Jing Han Sun, Ali Emami:
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries. LREC/COLING 2024: 6701-6716 - [c18]Pardis Sadat Zahraei, Ali Emami:
WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts. EACL (1) 2024: 1650-1671 - [c17]Robert Morabito, Sangmitra Madhusudan, Tyler McDonald, Ali Emami:
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions. EMNLP 2024: 4221-4243 - [c16]Sarfaroz Yunusov, Hamza Sidat, Ali Emami:
MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models. EMNLP 2024: 6702-6717 - [i28]Pardis Sadat Zahraei, Ali Emami:
WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts. CoRR abs/2401.17703 (2024) - [i27]Jing Han Sun, Ali Emami:
EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries. CoRR abs/2402.13372 (2024) - [i26]Abhishek Kumar, Sarfaroz Yunusov, Ali Emami:
Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models. CoRR abs/2405.14555 (2024) - [i25]Brendan Park, Madeline Janecek, Naser Ezzati-Jivan, Yifeng Li, Ali Emami:
Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge. CoRR abs/2405.16277 (2024) - [i24]Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami:
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models. CoRR abs/2405.16282 (2024) - [i23]Robert Morabito, Sangmitra Madhusudan, Tyler McDonald, Ali Emami:
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions. CoRR abs/2409.13843 (2024) - [i22]Sarfaroz Yunusov, Hamza Sidat, Ali Emami:
MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models. CoRR abs/2409.13935 (2024) - 2023
- [j12]Ghazaleh Ghorbanzadeh, Zahra Nabizadeh, Nader Karimi
, Pejman Khadivi, Ali Emami, Shadrokh Samavi:
DGAFF: Deep genetic algorithm fitness Formation for EEG Bio-Signal channel selection. Biomed. Signal Process. Control. 79(Part): 104119 (2023) - [j11]Mohammadreza Naderi, Nader Karimi, Ali Emami, Shahram Shirani, Shadrokh Samavi:
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. 85: 104877 (2023) - [c15]Qi Chen Gao, Ali Emami:
The Turing Quest: Can Transformers Make Good NPCs? ACL (student) 2023: 93-103 - [c14]Robert Morabito, Jad Kabbara, Ali Emami:
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models. ACL (Findings) 2023: 4581-4597 - [i21]Robert Morabito, Jad Kabbara, Ali Emami:
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models. CoRR abs/2305.14307 (2023) - 2022
- [i20]Darren Abramson, Ali Emami:
An Application of Pseudo-Log-Likelihoods to Natural Language Scoring. CoRR abs/2201.09377 (2022) - [i19]Ghazaleh Ghorbanzadeh, Zahra Nabizadeh, Nader Karimi, Pejman Khadivi, Ali Emami, Shadrokh Samavi:
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection. CoRR abs/2202.10034 (2022) - [i18]Mohammadreza Naderi, Nader Karimi, Ali Emami, Shahram Shirani, Shadrokh Samavi:
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data. CoRR abs/2211.08570 (2022) - 2021
- [j10]Zahra Nabizadeh-ShahreBabak, Nader Karimi, Pejman Khadivi, Roshanak Roshandel, Ali Emami, Shadrokh Samavi:
Detection of COVID-19 in X-ray images by classification of bag of visual words using neural networks. Biomed. Signal Process. Control. 68: 102750 (2021) - [j9]Omar Alam, Anshuman Kush, Ali Emami, Parisa Pouladzadeh:
Predicting irregularities in arrival times for transit buses with recurrent neural networks using GPS coordinates and weather data. J. Ambient Intell. Humaniz. Comput. 12(7): 7813-7826 (2021) - [j8]Hanif Yaghoobi, Esmaeil Babaei, Bashdar Mahmud Hussen, Ali Emami:
EBST: An Evolutionary Multi-Objective Optimization Based Tool for Discovering Potential Biomarkers in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2384-2393 (2021) - [c13]Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
ADEPT: An Adjective-Dependent Plausibility Task. ACL/IJCNLP (1) 2021: 7117-7128 - 2020
- [j7]Hirokazu Takahashi, Ali Emami, Takashi Shinozaki, Naoto Kunii, Takeshi Matsuo, Kensuke Kawai:
Convolutional neural network with autoencoder-assisted multiclass labelling for seizure detection based on scalp electroencephalography. Comput. Biol. Medicine 125: 104016 (2020) - [j6]Mahdi Ahmadi, Alireza Norouzi, Nader Karimi, Shadrokh Samavi, Ali Emami:
ReDMark: Framework for residual diffusion watermarking based on deep networks. Expert Syst. Appl. 146: 113157 (2020) - [j5]Hamidreza Zarrabi, Ali Emami, Pejman Khadivi, Nader Karimi, Shadrokh Samavi:
BlessMark: a blind diagnostically-lossless watermarking framework for medical applications based on deep neural networks. Multim. Tools Appl. 79(31-32): 22473-22495 (2020) - [c12]Ali Emami, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. COLING 2020: 5855-5865 - [i17]Zahra Sobhaninia, Safiyeh Rezaei, Nader Karimi, Ali Emami, Shadrokh Samavi:
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales. CoRR abs/2002.01975 (2020) - [i16]Ghazale Ghorbanzade, Zahra Nabizadeh-ShahreBabak, Shadrokh Samavi, Nader Karimi, Ali Emami, Pejman Khadivi:
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning. CoRR abs/2007.12764 (2020) - [i15]Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. CoRR abs/2011.04767 (2020)
2010 – 2019
- 2019
- [j4]Ali Emami, Naoto Kunii, Takeshi Matsuo, Takashi Shinozaki, Kensuke Kawai, Hirokazu Takahashi:
Autoencoding of long-term scalp electroencephalogram to detect epileptic seizure for diagnosis support system. Comput. Biol. Medicine 110: 227-233 (2019) - [j3]Zohreh HosseinKhani, Mohsen Hajabdollahi, Nader Karimi, Kayvan Najarian, Ali Emami, Shahram Shirani, Shadrokh Samavi, Sayed Mohammad Reza Soroushmehr:
Real-time removal of impulse noise from MR images for radiosurgery applications. Int. J. Circuit Theory Appl. 47(3): 406-426 (2019) - [c11]Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung:
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. ACL (1) 2019: 3952-3961 - [c10]Safiyeh Rezaei, Ali Emami, Hamidreza Zarrabi, Shima Rafiei, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features. EMBC 2019: 1031-1034 - [c9]Zahra Sobhaninia, Shima Rafiei, Ali Emami, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, S. M. Reza Soroushmehr:
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning. EMBC 2019: 6545-6548 - [c8]Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG. EMNLP/IJCNLP (1) 2019: 3380-3385 - [c7]Alireza Norouzi, Ali Emami, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Exploiting Uncertainty of Deep Neural Networks for Improving Segmentation Accuracy in MRI Images. ICASSP 2019: 2322-2326 - [i14]Safiyeh Rezaei, Ali Emami, Hamidreza Zarrabi, Shima Rafiei, Kayvan Najarian, Nader Karimi, Shadrokh Samavi, S. M. Reza Soroushmehr:
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features. CoRR abs/1909.00270 (2019) - [i13]Zahra Sobhaninia, Shima Rafiei, Ali Emami, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, S. M. Reza Soroushmehr:
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning. CoRR abs/1909.00273 (2019) - [i12]Hamidreza Zarrabi, Ali Emami, Pejman Khadivi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi:
BlessMark: A Blind Diagnostically-Lossless Watermarking Framework for Medical Applications Based on Deep Neural Networks. CoRR abs/1911.00382 (2019) - [i11]Zahra Sobhaninia, Ali Emami, Nader Karimi, Shadrokh Samavi:
Localization of Fetal Head in Ultrasound Images by Multiscale View and Deep Neural Networks. CoRR abs/1911.00908 (2019) - [i10]Safiyeh Rezaei, Ali Emami, Nader Karimi, Shadrokh Samavi:
Gland Segmentation in Histopathological Images by Deep Neural Network. CoRR abs/1911.00909 (2019) - 2018
- [c6]Mahdi Ahmadi, Ali Emami, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background. EMBC 2018: 5158-5161 - [c5]Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. EMNLP 2018: 1949-1958 - [c4]Ramin Hashemi, Mehdi Habibi, Hamzeh Beyranvand, Ali Emami, Mehdi Hashemi, Davood Ranjbar Rafie:
Power Allocation in Optical Coherent Transmission Systems Using Discretized-Enhanced Gaussian Noise Model. IST 2018: 342-347 - [c3]Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge. NAACL-HLT (Student Research Workshop) 2018: 25-31 - [i9]Hamidreza Zarrabi, Ali Emami, Nader Karimi, Shadrokh Samavi:
Adaptive Reversible Watermarking Based on Linear Prediction for Medical Videos. CoRR abs/1801.05264 (2018) - [i8]Mahdi Ahmadi, Ali Emami, Mohsen Hajabdollahi, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background. CoRR abs/1802.07769 (2018) - [i7]Atefe Rajaeefar, Ali Emami, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Lossless Image Compression Algorithm for Wireless Capsule Endoscopy by Content-Based Classification of Image Blocks. CoRR abs/1802.07781 (2018) - [i6]Alireza Norouzi, Ali Emami, S. M. Reza Soroushmehr, Nader Karimi, Shadrokh Samavi, Kayvan Najarian:
Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference. CoRR abs/1803.00406 (2018) - [i5]Zahra Sobhaninia, Safiyeh Rezaei, Alireza Noroozi, Mehdi Ahmadi, Hamidreza Zarrabi, Nader Karimi, Ali Emami, Shadrokh Samavi:
Brain Tumor Segmentation Using Deep Learning by Type Specific Sorting of Images. CoRR abs/1809.07786 (2018) - [i4]Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. CoRR abs/1810.01375 (2018) - [i3]Mahdi Ahmadi, Alireza Norouzi, S. M. Reza Soroushmehr, Nader Karimi, Kayvan Najarian, Shadrokh Samavi, Ali Emami:
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks. CoRR abs/1810.07248 (2018) - [i2]Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung:
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. CoRR abs/1811.01747 (2018) - [i1]Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, Fernando Diaz:
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding. CoRR abs/1811.01778 (2018) - 2017
- [j2]Ali Emami, Joseph El Youssef, Remi Rabasa-Lhoret, Joelle Pineau, Jessica R. Castle, Ahmad Haidar:
Modeling Glucagon Action in Patients With Type 1 Diabetes. IEEE J. Biomed. Health Informatics 21(4): 1163-1171 (2017) - 2015
- [b1]Ali Emami:
Occlusion handling in video surveillance systems. University of Queensland, Australia, 2015 - [j1]Ali Emami, Mehrtash Tafazzoli Harandi, Farhad Dadgostar, Brian C. Lovell:
Novelty detection in human tracking based on spatiotemporal oriented energies. Pattern Recognit. 48(3): 812-826 (2015) - 2012
- [c2]Ali Emami, Farhad Dadgostar, Abbas Bigdeli, Brian C. Lovell:
Role of Spatiotemporal Oriented Energy Features for Robust Visual Tracking in Video Surveillance. AVSS 2012: 349-354 - 2010
- [c1]Ali Emami, Abbas Bigdeli, Adam Postula:
High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU. DICTA 2010: 393-399
Coauthor Index
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