Zobrazeno 1 - 10
of 8 246
pro vyhledávání: '"Bade A"'
Autor:
Yigezu, Mesay Gemeda, Mersha, Melkamu Abay, Bade, Girma Yohannis, Kalita, Jugal, Kolesnikova, Olga, Gelbukh, Alexander
Publikováno v:
ACLing 2024: 6th International Conference on AI in Computational Linguistics
The proliferation of fake news has emerged as a significant threat to the integrity of information dissemination, particularly on social media platforms. Misinformation can spread quickly due to the ease of creating and disseminating content, affecti
Externí odkaz:
http://arxiv.org/abs/2410.02609
Publikováno v:
Infection and Drug Resistance, Vol Volume 14, Pp 1659-1667 (2021)
Asnake Balche Bade,1 Teshale Ayele Mega,2 Getandale Zeleke Negera3 1School of Pharmacy, Institute of Health Science, Arbaminch University, Arbaminch, Ethiopia; 2School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethi
Externí odkaz:
https://doaj.org/article/8d40c5bb9e274bb4947c4b6baf166db3
Publikováno v:
Clinical Ophthalmology, Vol Volume 14, Pp 3219-3226 (2020)
Leena Bajracharya,1 Asta Ram Bade,2 Reeta Gurung,1 Kavita Dhakhwa1 1Department of Cornea, Tilganga Institute of Ophthalmology, Kathmandu, Nepal; 2Department of Microbiology, Tilganga Institute of Ophthalmology, Kathmandu, NepalCorrespondence: Leena B
Externí odkaz:
https://doaj.org/article/443712141fa94d26981a17666101ac8f
Autor:
Ibrahim IM, Bade AN, Lin Z, Soni D, Wojtkiewicz M, Dyavar Shetty BL, Gautam N, McMillan JM, Alnouti Y, Edagwa BJ, Gendelman HE
Publikováno v:
International Journal of Nanomedicine, Vol Volume 14, Pp 6231-6247 (2019)
Ibrahim M Ibrahim,1,2 Aditya N Bade,1 Zhiyi Lin,3 Dhruvkumar Soni,3 Melinda Wojtkiewicz,1 Bhagya Laxmi Dyavar Shetty,1 Nagsen Gautam,3 JoEllyn M McMillan,1 Yazen Alnouti,3 Benson J Edagwa,1 Howard E Gendelman1,31Department of Pharmacology and Experim
Externí odkaz:
https://doaj.org/article/c4157bc83b334458acb808ffde41b91f
Adversarial attacks (AAs) pose a significant threat to the reliability and robustness of deep neural networks. While the impact of these attacks on model predictions has been extensively studied, their effect on the learned representations and concep
Externí odkaz:
http://arxiv.org/abs/2403.16782
For debugging and verification of computer vision convolutional deep neural networks (CNNs) human inspection of the learned latent representations is imperative. Therefore, state-of-the-art eXplainable Artificial Intelligence (XAI) methods globally a
Externí odkaz:
http://arxiv.org/abs/2311.14435
Autor:
Upadhyay, Uddeshya, Bade, Sairam, Puranik, Arjun, Asfahan, Shahir, Babu, Melwin, Lopez-Jimenez, Francisco, Asirvatham, Samuel J., Prasad, Ashim, Rajasekharan, Ajit, Awasthi, Samir, Barve, Rakesh
Publikováno v:
Transactions on Machine Learning Research (TMLR), 2023
The automated analysis of medical time series, such as the electrocardiogram (ECG), electroencephalogram (EEG), pulse oximetry, etc, has the potential to serve as a valuable tool for diagnostic decisions, allowing for remote monitoring of patients an
Externí odkaz:
http://arxiv.org/abs/2311.13821
Autor:
Bade, Sohail1 (AUTHOR) sohailbade@gmail.com, Bade, Sahil1 (AUTHOR), Sharma, Grishma1 (AUTHOR), Bhurtel, Narayan2 (AUTHOR), Singh, Yadvinder3 (AUTHOR), Paudel, Sudip4 (AUTHOR), Magar, Frena Pulami5 (AUTHOR), Chapagain, Kshitij1 (AUTHOR)
Publikováno v:
Clinical Case Reports. Sep2024, Vol. 12 Issue 9, p1-6. 6p.
Agent-based models (ABMs) simulate the formation and evolution of social processes at a fundamental level by decoupling agent behavior from global observations. In the case where ABM networks evolve over time as a result of (or in conjunction with) a
Externí odkaz:
http://arxiv.org/abs/2308.05256
Autor:
Sohail Bade, Sahil Bade, Grishma Sharma, Narayan Bhurtel, Yadvinder Singh, Sudip Paudel, Frena Pulami Magar, Kshitij Chapagain
Publikováno v:
Clinical Case Reports, Vol 12, Iss 9, Pp n/a-n/a (2024)
Key Clinical Message Dulaglutide is a relatively unpopular GLP‐1 receptor agonist used for weight loss. This case demonstrates that dulaglutide may be beneficial for weight loss in morbidly obese patients with multiple comorbidities after thoroughl
Externí odkaz:
https://doaj.org/article/ab451b4fed2840d8816f9b7661b902c4