Zobrazeno 1 - 10
of 4 388
pro vyhledávání: '"Minhas P"'
Autor:
Mohoney, Jason, Pacaci, Anil, Chowdhury, Shihabur Rahman, Minhas, Umar Farooq, Pound, Jeffery, Renggli, Cedric, Reyhani, Nima, Ilyas, Ihab F., Rekatsinas, Theodoros, Venkataraman, Shivaram
The prevalence of vector similarity search in modern machine learning applications and the continuously changing nature of data processed by these applications necessitate efficient and effective index maintenance techniques for vector search indexes
Externí odkaz:
http://arxiv.org/abs/2411.00970
Translating text that contains entity names is a challenging task, as cultural-related references can vary significantly across languages. These variations may also be caused by transcreation, an adaptation process that entails more than transliterat
Externí odkaz:
http://arxiv.org/abs/2410.14057
Autor:
Minhas, Mishal Fatima, Putra, Rachmad Vidya Wicaksana, Awwad, Falah, Hasan, Osman, Shafique, Muhammad
To adapt to real-world dynamics, intelligent systems need to assimilate new knowledge without catastrophic forgetting, where learning new tasks leads to a degradation in performance on old tasks. To address this, continual learning concept is propose
Externí odkaz:
http://arxiv.org/abs/2410.09218
Machine learning in computational pathology (CPath) often aggregates patch-level predictions from multi-gigapixel Whole Slide Images (WSIs) to generate WSI-level prediction scores for crucial tasks such as survival prediction and drug effect predicti
Externí odkaz:
http://arxiv.org/abs/2408.05195
Autor:
T, Suhail Ansari, Maik, Vivek, Naheem, Minhas, Ram, Keerthi, Lakshmanan, Manojkumar, Sivaprakasam, Mohanasankar
In response to the growing demand for precise and affordable solutions for Image-Guided Spine Surgery (IGSS), this paper presents a comprehensive development of a Robot-Assisted and Navigation-Guided IGSS System. The endeavor involves integrating cut
Externí odkaz:
http://arxiv.org/abs/2407.01578
Autor:
Rehman, Abdul, Meraj, Talha, Minhas, Aiman Mahmood, Imran, Ayisha, Ali, Mohsen, Sultani, Waqas
Earlier diagnosis of Leukemia can save thousands of lives annually. The prognosis of leukemia is challenging without the morphological information of White Blood Cells (WBC) and relies on the accessibility of expensive microscopes and the availabilit
Externí odkaz:
http://arxiv.org/abs/2405.10803
Pathology reports are rich in clinical and pathological details but are often presented in free-text format. The unstructured nature of these reports presents a significant challenge limiting the accessibility of their content. In this work, we prese
Externí odkaz:
http://arxiv.org/abs/2405.02040
Autor:
Wang, Junxiong, Mousavi, Ali, Attia, Omar, Pradeep, Ronak, Potdar, Saloni, Rush, Alexander M., Minhas, Umar Farooq, Li, Yunyao
Entity disambiguation (ED), which links the mentions of ambiguous entities to their referent entities in a knowledge base, serves as a core component in entity linking (EL). Existing generative approaches demonstrate improved accuracy compared to cla
Externí odkaz:
http://arxiv.org/abs/2404.01626
Autor:
Eastwood, Mark, Pocock, John, Jahanifar, Mostafa, Shephard, Adam, Habib, Skiros, Alzaid, Ethar, Alsalemi, Abdullah, Robertus, Jan Lukas, Rajpoot, Nasir, Raza, Shan, Minhas, Fayyaz
Digital pathology has gained significant traction in modern healthcare systems. This shift from optical microscopes to digital imagery brings with it the potential for improved diagnosis, efficiency, and the integration of AI tools into the pathologi
Externí odkaz:
http://arxiv.org/abs/2402.09990
Autor:
Sahin, M. Emre, Symons, Benjamin C. B., Pati, Pushpak, Minhas, Fayyaz, Millar, Declan, Gabrani, Maria, Mensa, Stefano, Robertus, Jan Lukas
Publikováno v:
Quantum 8, 1502 (2024)
Quantum machine learning with quantum kernels for classification problems is a growing area of research. Recently, quantum kernel alignment techniques that parameterise the kernel have been developed, allowing the kernel to be trained and therefore a
Externí odkaz:
http://arxiv.org/abs/2401.02879