Zobrazeno 1 - 10
of 1 874
pro vyhledávání: '"Torkamani, A"'
Transformers have gained widespread acclaim for their versatility in handling diverse data structures, yet their application to log data remains underexplored. Log data, characterized by its hierarchical, dictionary-like structure, poses unique chall
Externí odkaz:
http://arxiv.org/abs/2408.16803
In recent years, Gaussian noise has become a popular tool in differentially private algorithms, often replacing Laplace noise which dominated the early literature on differential privacy. Gaussian noise is the standard approach to $\textit{approximat
Externí odkaz:
http://arxiv.org/abs/2408.07021
Autor:
Miao, Brenda Y., Chen, Irene Y., Williams, Christopher YK, Davidson, Jaysón, Garcia-Agundez, Augusto, Sun, Shenghuan, Zack, Travis, Saria, Suchi, Arnaout, Rima, Quer, Giorgio, Sadaei, Hossein J., Torkamani, Ali, Beaulieu-Jones, Brett, Yu, Bin, Gianfrancesco, Milena, Butte, Atul J., Norgeot, Beau, Sushil, Madhumita
Recent advances in generative models, including large language models (LLMs), vision language models (VLMs), and diffusion models, have accelerated the field of natural language and image processing in medicine and marked a significant paradigm shift
Externí odkaz:
http://arxiv.org/abs/2403.02558
Autor:
Torkamani, Sahel, Ebrahimi, Javad B., Sadeghi, Parastoo, D'Oliveira, Rafael G. L., Médard, Muriel
We present the notion of \emph{reasonable utility} for binary mechanisms, which applies to all utility functions in the literature. This notion induces a partial ordering on the performance of all binary differentially private (DP) mechanisms. DP mec
Externí odkaz:
http://arxiv.org/abs/2310.20486
Recently, physiological data such as electroencephalography (EEG) signals have attracted significant attention in affective computing. In this context, the main goal is to design an automated model that can assess emotional states. Lately, deep neura
Externí odkaz:
http://arxiv.org/abs/2307.03068
Autor:
Han, Haoyu, Liu, Xiaorui, Shi, Feng, Torkamani, MohamadAli, Aggarwal, Charu C., Tang, Jiliang
Graph Neural Networks (GNNs) have emerged as a powerful tool for semi-supervised node classification tasks. However, recent studies have revealed various biases in GNNs stemming from both node features and graph topology. In this work, we uncover a n
Externí odkaz:
http://arxiv.org/abs/2305.15822
Recent works have demonstrated the benefits of capturing long-distance dependency in graphs by deeper graph neural networks (GNNs). But deeper GNNs suffer from the long-lasting scalability challenge due to the neighborhood explosion problem in large-
Externí odkaz:
http://arxiv.org/abs/2302.01503
Autor:
Ishan Sunilkumar Bhatt, Juan Antonio Raygoza Garay, Srividya Grama Bhagavan, Valerie Ingalls, Raquel Dias, Ali Torkamani
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Speech-in-noise (SIN) perception is a primary complaint of individuals with audiometric hearing loss. SIN performance varies drastically, even among individuals with normal hearing. The present genome-wide association study (GWAS) investigat
Externí odkaz:
https://doaj.org/article/9ecffcf985c6472e8937682c572653a0
Autor:
Mehrdad Jalili Torkamani, Chiman Karami, Pooneh Sayyah-Koohi, Farhood Ziaie, Seyyedsina Moosavi, Farhad Zolfagharpour
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 6, Pp 2421-2427 (2024)
In this research, the Omicron variant of the SARS-CoV-2 virus was simulated and exposed to electron radiation with up to 20 keV energy. Absorbed energy was measured for spike protein, nucleocapsid protein, and envelope of the virus. Simulations were
Externí odkaz:
https://doaj.org/article/25d11ed195f1407b833e3d60517d4fb4
Autor:
Amir Torshizi Esfahani, Somayeh Mohammadpour, Pooya Jalali, Alireza Yaghoobi, Raana Karimpour, Soha Torkamani, Ali Pardakhtchi, Zahra Salehi, Ehsan Nazemalhosseini-Mojarad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Abnormal angiogenesis leads to tumor progression and metastasis in colorectal cancer (CRC). This study aimed to elucidate the association between angiogenesis-related genes, including VEGF-A, ANGPT-1, and ANGPT-2 with both metastatic and mic
Externí odkaz:
https://doaj.org/article/0343cf12e21f4834a95623cdab687d51