Zobrazeno 1 - 10
of 19 417
pro vyhledávání: '"Tabassum, A"'
Autor:
Farahani, Somayeh, Hejazi, Marjaneh, Tabassum, Mehnaz, Di Ieva, Antonio, Mahdavifar, Neda, Liu, Sidong
Gliomas, the most common primary brain tumors, show high heterogeneity in histological and molecular characteristics. Accurate molecular profiling, like isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion, is critical for diagnosis, treatme
Externí odkaz:
http://arxiv.org/abs/2411.02426
Recently, large language models (LLMs) have been successfully applied to many fields, showing outstanding comprehension and reasoning capabilities. Despite their great potential, LLMs usually require dedicated pre-training and fine-tuning for domain-
Externí odkaz:
http://arxiv.org/abs/2411.04136
Autor:
Chacko, Samuel Jacob, Biswas, Sajib, Islam, Chashi Mahiul, Liza, Fatema Tabassum, Liu, Xiuwen
As powerful Large Language Models (LLMs) are now widely used for numerous practical applications, their safety is of critical importance. While alignment techniques have significantly improved overall safety, LLMs remain vulnerable to carefully craft
Externí odkaz:
http://arxiv.org/abs/2410.19160
Autor:
Ahmed, Mustofa, Muntakim, Abdul, Tabassum, Nawrin, Rahim, Mohammad Asifur, Shah, Faisal Muhammad
Depression detection using deep learning models has been widely explored in previous studies, especially due to the large amounts of data available from social media posts. These posts provide valuable information about individuals' mental health con
Externí odkaz:
http://arxiv.org/abs/2410.13709
Large language models (LLMs) have received considerable interest recently due to their outstanding reasoning and comprehension capabilities. This work explores applying LLMs to vehicular networks, aiming to jointly optimize vehicle-to-infrastructure
Externí odkaz:
http://arxiv.org/abs/2410.08854
While the majority of time series classification research has focused on modeling fixed-length sequences, variable-length time series classification (VTSC) remains critical in healthcare, where sequence length may vary among patients and events. To a
Externí odkaz:
http://arxiv.org/abs/2410.06412
Autor:
Pakala, Shaan, Graw, Bryce, Ahn, Dawon, Dinh, Tam, Mahin, Mehnaz Tabassum, Tsotras, Vassilis, Chen, Jia, Papalexakis, Evangelos E.
Hyperparameter optimization is an essential component in many data science pipelines and typically entails exhaustive time and resource-consuming computations in order to explore the combinatorial search space. Similar to this problem, other key oper
Externí odkaz:
http://arxiv.org/abs/2410.06408
Autor:
Tabassum, Farzana, Islam, Sabrina, Rizwan, Siana, Sobhan, Masrur, Ahmed, Tasnim, Ahmed, Sabbir, Chowdhury, Tareque Mohmud
Gene expression analysis is a critical method for cancer classification, enabling precise diagnoses through the identification of unique molecular signatures associated with various tumors. Identifying cancer-specific genes from gene expression value
Externí odkaz:
http://arxiv.org/abs/2410.07260
Autor:
Franulovic, Franci, Tabassum, Shawana
A potentiostat is an analytical device and a crucial component in electrochemical instruments used for studying chemical reaction mechanisms, with potential applications in early diagnosis of disease or critical health conditions. Conventional potent
Externí odkaz:
http://arxiv.org/abs/2410.02142
WiFi sensing is an emerging technology that utilizes wireless signals for various sensing applications. However, the reliance on supervised learning, the scarcity of labelled data, and the incomprehensible channel state information (CSI) pose signifi
Externí odkaz:
http://arxiv.org/abs/2410.01825