Zobrazeno 1 - 10
of 528
pro vyhledávání: '"Abhijit Guha"'
Publikováno v:
International Journal of Educational Innovation and Research, Vol 3, Iss 1, Pp 1-16 (2023)
Recently, taking an educational loan is a major concern of matter in the economics of education research. The researchers attempted to understand the perception of postgraduates’ students about the student credit card scheme launched by the state g
Externí odkaz:
https://doaj.org/article/5cbaf4e8527e4ee7a9e9b9e180f39cea
Autor:
Abhijit Guha, Abdulrahman Alahmadi, Debabrata Samanta, Mohammad Zubair Khan, Ahmed H. Alahmadi
Publikováno v:
IEEE Access, Vol 10, Pp 11341-11353 (2022)
In the twenty-first century, storing and managing digital documents has become commonplace for all corporate and public sectors around the world. Physical documents are scanned in batches and stored in a digital archive as a heterogeneous document st
Externí odkaz:
https://doaj.org/article/401bc3c2cd2942da97e1d630e7707acb
Publikováno v:
IEEE Access, Vol 9, Pp 80451-80465 (2021)
World Wide Web has redefined almost all the business models in the past twenty-five to thirty years. IoT, Big Data, AI are some of the comparatively recent technologies which brought in a revolution in the digitization and management of data. Along w
Externí odkaz:
https://doaj.org/article/1ed234d0fcca4e62af093596629edd52
Autor:
Freyberg, Jan, Roy, Abhijit Guha, Spitz, Terry, Freeman, Beverly, Schaekermann, Mike, Strachan, Patricia, Schnider, Eva, Wong, Renee, Webster, Dale R, Karthikesalingam, Alan, Liu, Yun, Dvijotham, Krishnamurthy, Telang, Umesh
During the diagnostic process, doctors incorporate multimodal information including imaging and the medical history - and similarly medical AI development has increasingly become multimodal. In this paper we tackle a more subtle challenge: doctors ta
Externí odkaz:
http://arxiv.org/abs/2401.12032
Autor:
Stutz, David, Roy, Abhijit Guha, Matejovicova, Tatiana, Strachan, Patricia, Cemgil, Ali Taylan, Doucet, Arnaud
Conformal Prediction (CP) allows to perform rigorous uncertainty quantification by constructing a prediction set $C(X)$ satisfying $\mathbb{P}(Y \in C(X))\geq 1-\alpha$ for a user-chosen $\alpha \in [0,1]$ by relying on calibration data $(X_1,Y_1),..
Externí odkaz:
http://arxiv.org/abs/2307.09302
Autor:
Stutz, David, Cemgil, Ali Taylan, Roy, Abhijit Guha, Matejovicova, Tatiana, Barsbey, Melih, Strachan, Patricia, Schaekermann, Mike, Freyberg, Jan, Rikhye, Rajeev, Freeman, Beverly, Matos, Javier Perez, Telang, Umesh, Webster, Dale R., Liu, Yuan, Corrado, Greg S., Matias, Yossi, Kohli, Pushmeet, Liu, Yun, Doucet, Arnaud, Karthikesalingam, Alan
For safety, AI systems in health undergo thorough evaluations before deployment, validating their predictions against a ground truth that is assumed certain. However, this is actually not the case and the ground truth may be uncertain. Unfortunately,
Externí odkaz:
http://arxiv.org/abs/2307.02191
Autor:
Ktena, Ira, Wiles, Olivia, Albuquerque, Isabela, Rebuffi, Sylvestre-Alvise, Tanno, Ryutaro, Roy, Abhijit Guha, Azizi, Shekoofeh, Belgrave, Danielle, Kohli, Pushmeet, Karthikesalingam, Alan, Cemgil, Taylan, Gowal, Sven
A ubiquitous challenge in machine learning is the problem of domain generalisation. This can exacerbate bias against groups or labels that are underrepresented in the datasets used for model development. Model bias can lead to unintended harms, espec
Externí odkaz:
http://arxiv.org/abs/2304.09218
Publikováno v:
Neurobiology of Disease, Vol 44, Iss 1, Pp 84-91 (2011)
Highly proliferating cells, normal or transformed, undergo aerobic glycolysis whereby glucose is metabolized to lactate rather than by oxidative metabolism, even in the presence of oxygen. This metabolic adaptation provides a survival advantage and f
Externí odkaz:
https://doaj.org/article/cee88fb6c5f2465a9b841b5066e192dc
Autor:
Azizi, Shekoofeh, Culp, Laura, Freyberg, Jan, Mustafa, Basil, Baur, Sebastien, Kornblith, Simon, Chen, Ting, MacWilliams, Patricia, Mahdavi, S. Sara, Wulczyn, Ellery, Babenko, Boris, Wilson, Megan, Loh, Aaron, Chen, Po-Hsuan Cameron, Liu, Yuan, Bavishi, Pinal, McKinney, Scott Mayer, Winkens, Jim, Roy, Abhijit Guha, Beaver, Zach, Ryan, Fiona, Krogue, Justin, Etemadi, Mozziyar, Telang, Umesh, Liu, Yun, Peng, Lily, Corrado, Greg S., Webster, Dale R., Fleet, David, Hinton, Geoffrey, Houlsby, Neil, Karthikesalingam, Alan, Norouzi, Mohammad, Natarajan, Vivek
Recent progress in Medical Artificial Intelligence (AI) has delivered systems that can reach clinical expert level performance. However, such systems tend to demonstrate sub-optimal "out-of-distribution" performance when evaluated in clinical setting
Externí odkaz:
http://arxiv.org/abs/2205.09723
Publikováno v:
Neoplasia: An International Journal for Oncology Research, Vol 7, Iss 12, Pp 1081-1090 (2005)
Malignant astrocytomas are the most common and highly vascularized of all primary adult brain tumors. The histopathological hallmarks of malignant astrocytomas are microvascular proliferation and formation of vascular entities, which are referred to
Externí odkaz:
https://doaj.org/article/55334414c105459bb125e2eb5786f845