Zobrazeno 1 - 10
of 2 762
pro vyhledávání: '"Kolluri A"'
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 16, Iss 6, Pp 1716-1720 (2024)
BackgroundBioactivity refers to the ability of a material to interact with living organisms or biological systems in a way that elicits a specific response. In the context of materials science and medicine, bioactivity is particularly important becau
Externí odkaz:
https://doaj.org/article/664a6edef54247998ba11a3142057f83
As AI-generated images become widespread, reliable watermarking is essential for content verification, copyright enforcement, and combating disinformation. Existing techniques rely on heuristic approaches and lack formal guarantees of undetectability
Externí odkaz:
http://arxiv.org/abs/2411.11434
Social bots-automated accounts that generate and spread content on social media-are exploiting vulnerabilities in these platforms to manipulate public perception and disseminate disinformation. This has prompted the development of public bot detectio
Externí odkaz:
http://arxiv.org/abs/2408.06900
Autor:
Chen, Shan, Gallifant, Jack, Gao, Mingye, Moreira, Pedro, Munch, Nikolaj, Muthukkumar, Ajay, Rajan, Arvind, Kolluri, Jaya, Fiske, Amelia, Hastings, Janna, Aerts, Hugo, Anthony, Brian, Celi, Leo Anthony, La Cava, William G., Bitterman, Danielle S.
Large language models (LLMs) are increasingly essential in processing natural languages, yet their application is frequently compromised by biases and inaccuracies originating in their training data. In this study, we introduce Cross-Care, the first
Externí odkaz:
http://arxiv.org/abs/2405.05506
Training modern neural networks or models typically requires averaging over a sample of high-dimensional vectors. Poisoning attacks can skew or bias the average vectors used to train the model, forcing the model to learn specific patterns or avoid le
Externí odkaz:
http://arxiv.org/abs/2312.14461
Social media platforms have facilitated the rapid spread of dis- and mis-information. Parler, a US-based fringe social media platform that positions itself as a champion of free-speech, has had substantial information integrity issues. In this study,
Externí odkaz:
http://arxiv.org/abs/2306.13913
Graph neural networks (GNNs) fuel diverse machine learning tasks involving graph-structured data, ranging from predicting protein structures to serving personalized recommendations. Real-world graph data must often be stored distributed across many m
Externí odkaz:
http://arxiv.org/abs/2302.13053
A transpiler converts code from one programming language to another. Many practical uses of transpilers require the user to be able to guide or customize the program produced from a given input program. This customizability is important for satisfyin
Externí odkaz:
http://arxiv.org/abs/2301.11220
Following recent outbreaks, monkeypox-related misinformation continues to rapidly spread online. This negatively impacts response strategies and disproportionately harms LGBTQ+ communities in the short-term, and ultimately undermines the overall effe
Externí odkaz:
http://arxiv.org/abs/2209.09300
Classification tasks on labeled graph-structured data have many important applications ranging from social recommendation to financial modeling. Deep neural networks are increasingly being used for node classification on graphs, wherein nodes with si
Externí odkaz:
http://arxiv.org/abs/2205.03105