Nasir Hayat

According to our database, Nasir Hayat authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Named Clinical Entity Recognition Benchmark.

Wadood M. Abdul, Marco AF Pimentel, Muhammad Umar Salman, Tathagata Raha, Clément Christophe, Praveen K. Kanithi, Nasir Hayat, Ronnie Rajan, Shadab Khan

CoRR, 2024

MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications.

Praveen K. Kanithi, Clément Christophe, Marco AF Pimentel, Tathagata Raha, Nada Saadi, Hamza Javed, Svetlana Maslenkova, Nasir Hayat, Ronnie Rajan, Shadab Khan

CoRR, 2024

Med42 - Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches.

Clément Christophe, Praveen K. Kanithi, Prateek Munjal, Tathagata Raha, Nasir Hayat, Ronnie Rajan, Ahmed Al-Mahrooqi, Avani Gupta, Muhammad Umar Salman, Gurpreet Gosal, Bhargav Kanakiya, Charles Chen, Natalia Vassilieva, Boulbaba Ben Amor, Marco AF Pimentel, Shadab Khan

CoRR, 2024

2022

MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images.

Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout

Proceedings of the Machine Learning for Healthcare Conference, 2022

Towards Robust and Reproducible Active Learning using Neural Networks.

Prateek Munjal, Nasir Hayat, Munawar Hayat, Jamshid Sourati, Shadab Khan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Towards dynamic multi-modal phenotyping using chest radiographs and physiological data.

Nasir Hayat, Krzysztof J. Geras, Farah E. Shamout

CoRR, 2021

Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs.

Nasir Hayat, Hazem Lashen, Farah E. Shamout

CoRR, 2021

Multi-Label Generalized Zero Shot Learning for the Classiffcation of Disease in Chest Radiographs.

Nasir Hayat, Hazem Lashen, Farah E. Shamout

Proceedings of the Machine Learning for Healthcare Conference, 2021

2020

Clinical prediction system of complications among COVID-19 patients: a development and validation retrospective multicentre study.

Ghadeer O. Ghosheh, Bana Alamad, Kai-Wen Yang, Faisil Syed, Nasir Hayat, Imran Iqbal, Fatima Al Kindi, Sara Al Junaibi, Maha Al Safi, Raghib Ali, Walid Zaher, Mariam Al Harbi, Farah E. Shamout

CoRR, 2020

Synthesizing the Unseen for Zero-Shot Object Detection.

Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman H. Khan, Syed Waqas Zamir, Fahad Shahbaz Khan

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Artificial intelligence-based Monte-Carlo numerical simulation of aerodynamics of tire grooves using computational fluid dynamics.

Ghulam Moeen Uddin, Syed Muhammad Arafat, Ali Hussain Kazim, Muhammad Farhan, Sajawal Gul Niazi, Nasir Hayat, Ibrahim Zeid, Sagar V. Kamarthi

Artif. Intell. Eng. Des. Anal. Manuf., 2019