Zahra Shakeri

According to our database, Zahra Shakeri authored at least 25 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Multimodal Generative AI and Foundation Models for Behavioural Health in Online Gambling.

Konrad Samsel, Mohammad Noaeen, Neil Seeman, Karim Keshavjee, Li-Jia Li, Zahra Shakeri

CoRR, March, 2025

Scaling Public Health Text Annotation: Zero-Shot Learning vs. Crowdsourcing for Improved Efficiency and Labeling Accuracy.

Kamyar Kazari, Yong Chen, Zahra Shakeri

CoRR, February, 2025

Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition.

Juan Andres Medina Florez, Shaina Raza, Rashida Lynn, Zahra Shakeri, Brendan T. Smith, Elham Dolatabadi

CoRR, January, 2025

2024

On the Equivalence of Graph Convolution and Mixup.

Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

Trans. Mach. Learn. Res., 2024

Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare.

Pardis Sadat Zahraei, Zahra Shakeri

CoRR, 2024

RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.

Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning.

Chelsea Tanchip, Mohammad Noaeen, Kamyar Kazari, Zahra Shakeri

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Predicting Time to Diabetes Diagnosis Using Random Survival Forests.

Priyonto Saha, Yacine Marouf, Hunter Pozzebon, Aziz Guergachi, Karim Keshavjee, Mohammad Noaeen, Zahra Shakeri

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Identifying Prediabetes in Canadian Populations Using Machine Learning.

Katherine Lu, Paijani Sheth, Zhi Lin Zhou, Kamyar Kazari, Aziz Guergachi, Karim Keshavjee, Mohammad Noaeen, Zahra Shakeri

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Predicting Diabetes in Canadian Adults Using Machine Learning.

Kayla Esser, Monica Duong, Khalil Kain, Son Tran, Aryan Sadeghi, Aziz Guergachi, Karim Keshavjee, Mohammad Noaeen, Zahra Shakeri

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2022

A Deductive Data-Driven Pipeline Powered by MLHO for Post-Acute Sequelae of COVID-19 (PASC) Phenotyping.

Arianna Dagliati, Zachary H. Strasser, Rebecca Mesa, Zahra Shakeri, Alaleh Azhir, Riccardo Bellazzi, Shawn N. Murphy, Hossein Estiri

Proceedings of the AMIA 2022, 2022

2020

Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms.

Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

IEEE Trans. Signal Process., 2020

2019

Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features.

Siddharth Gururani, Kilol Gupta, Dhaval Shah, Zahra Shakeri, Jervis Pinto

CoRR, 2019

Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems.

Zahra Shakeri, Batoul Taki, André L. F. de Almeida, Mohsen Ghassemi, Waheed U. Bajwa

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning.

Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Minimax Lower Bounds on Dictionary Learning for Tensor Data.

Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate

IEEE Trans. Inf. Theory, 2018

Identifiability of Kronecker-Structured Dictionaries for Tensor Data.

Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

IEEE J. Sel. Top. Signal Process., 2018

2017

Sample complexity bounds for dictionary learning of tensor data.

Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Identification of kronecker-structured dictionaries: An asymptotic analysis.

Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

STARK: Structured dictionary learning through rank-one tensor recovery.

Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

Minimax lower bounds for Kronecker-structured dictionary learning.

Zahra Shakeri, Waheed Uz Zaman Bajwa, Anand D. Sarwate

Proceedings of the IEEE International Symposium on Information Theory, 2016

Revisiting maximal response-based local identification of overcomplete dictionaries.

Zahra Shakeri, Waheed U. Bajwa

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015

Deterministic selection of pilot tones for compressive estimation of MIMO-OFDM channels.

Zahra Shakeri, Waheed U. Bajwa

Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014

Dictionary learning based nonlinear classifier training from distributed data.

Zahra Shakeri, Haroon Raja, Waheed U. Bajwa

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Degrees of freedom in a three-user cognitive interference channel.

Zahra Shakeri, Arman Fazeli Chaghooshi, Mahtab Mirmohseni, Mohammad Reza Aref

Proceedings of the Iran Workshop on Communication and Information Theory, 2013