Zobrazeno 1 - 10
of 47 971
pro vyhledávání: '"A. A. Shaheen"'
Sarcasm is hard to interpret as human beings. Being able to interpret sarcasm is often termed as a sign of intelligence, given the complex nature of sarcasm. Hence, this is a field of Natural Language Processing which is still complex for computers t
Externí odkaz:
http://arxiv.org/abs/2412.00425
Text-to-SQL enables users to interact with databases through natural language, simplifying access to structured data. Although highly capable large language models (LLMs) achieve strong accuracy for complex queries, they incur unnecessary latency and
Externí odkaz:
http://arxiv.org/abs/2411.04319
Autor:
MacIver, Alec, Shaheen, Hina
Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by the progressive accumulation of misfolded proteins, leading to cognitive decline. This study presents a novel stochastic modelling approach to simulate the propagation
Externí odkaz:
http://arxiv.org/abs/2411.02644
Autor:
Idnay, Betina, Xu, Zihan, Adams, William G., Adibuzzaman, Mohammad, Anderson, Nicholas R., Bahroos, Neil, Bell, Douglas S., Bumgardner, Cody, Campion, Thomas, Castro, Mario, Cimino, James J., Cohen, I. Glenn, Dorr, David, Elkin, Peter L, Fan, Jungwei W., Ferris, Todd, Foran, David J., Hanauer, David, Hogarth, Mike, Huang, Kun, Kalpathy-Cramer, Jayashree, Kandpal, Manoj, Karnik, Niranjan S., Katoch, Avnish, Lai, Albert M., Lambert, Christophe G., Li, Lang, Lindsell, Christopher, Liu, Jinze, Lu, Zhiyong, Luo, Yuan, McGarvey, Peter, Mendonca, Eneida A., Mirhaji, Parsa, Murphy, Shawn, Osborne, John D., Paschalidis, Ioannis C., Harris, Paul A., Prior, Fred, Shaheen, Nicholas J., Shara, Nawar, Sim, Ida, Tachinardi, Umberto, Waitman, Lemuel R., Wright, Rosalind J., Zai, Adrian H., Zheng, Kai, Lee, Sandra Soo-Jin, Malin, Bradley A., Natarajan, Karthik, Price II, W. Nicholson, Zhang, Rui, Zhang, Yiye, Xu, Hua, Bian, Jiang, Weng, Chunhua, Peng, Yifan
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 institutions supported by the Clinical and Translational Science Award (CTSA) P
Externí odkaz:
http://arxiv.org/abs/2410.12793
Efficient and accurate prediction of physical systems is important even when the rules of those systems cannot be easily learned. Reservoir computing, a type of recurrent neural network with fixed nonlinear units, is one such prediction method and is
Externí odkaz:
http://arxiv.org/abs/2408.09223
Autor:
Anibal, James, Gunkel, Jasmine, Awan, Shaheen, Huth, Hannah, Nguyen, Hang, Le, Tram, Bélisle-Pipon, Jean-Christophe, Boyer, Micah, Hazen, Lindsey, Consortium, Bridge2AI Voice, Bensoussan, Yael, Clifton, David, Wood, Bradford
Artificial intelligence (AI) methods have been proposed for the prediction of social behaviors which could be reasonably understood from patient-reported information. This raises novel ethical concerns about respect, privacy, and control over patient
Externí odkaz:
http://arxiv.org/abs/2408.07896
Autor:
Choudhry, Usama, Zhang, Jin, Huang, Kewen, Low, Emma, Quan, Yujie, Shaheen, Basamat, Gnabasik, Ryan, Yan, Jiaqiang, Rubio, Angel, Burch, Kenneth S., Liao, Bolin
Photo-doped Mott insulators can exhibit novel photocarrier transport and relaxation dynamics and non-equilibrium phases. However, time-resolved real-space imaging of these processes are still lacking. Here, we use scanning ultrafast electron microsco
Externí odkaz:
http://arxiv.org/abs/2406.07355
In the context of brain tumor characterization, we focused on two key questions: (a) stability of radiomics features to variability in multiregional segmentation masks obtained with fully-automatic deep segmentation methods and (b) subsequent impact
Externí odkaz:
http://arxiv.org/abs/2406.03583
Autor:
Sokolov, Igor O., Both, Gert-Jan, Bochevarov, Art D., Dub, Pavel A., Levine, Daniel S., Brown, Christopher T., Acheche, Shaheen, Barkoutsos, Panagiotis Kl., Elfving, Vincent E.
Kohn-Sham Density Functional Theory (KS-DFT) provides the exact ground state energy and electron density of a molecule, contingent on the as-yet-unknown universal exchange-correlation (XC) functional. Recent research has demonstrated that neural netw
Externí odkaz:
http://arxiv.org/abs/2404.14258
Autor:
Tahlyan, Divyakant, Mahmassani, Hani, Stathopoulos, Amanda, Said, Maher, Shaheen, Susan, Walker, Joan, Johnson, Breton
We present an employer-side perspective on remote work through the pandemic using data from top executives of 129 employers in North America. Our analysis suggests that at least some of the pandemic-accelerated changes to the work location landscape
Externí odkaz:
http://arxiv.org/abs/2402.18459