Zobrazeno 1 - 10
of 21 178
pro vyhledávání: '"A A, Khairul"'
Autor:
Islam, Md. Khairul, Fox, Judy
Interpreting complex time series forecasting models is challenging due to the temporal dependencies between time steps and the dynamic relevance of input features over time. Existing interpretation methods are limited by focusing mostly on classifica
Externí odkaz:
http://arxiv.org/abs/2412.04532
Scientific Workflow Systems (SWSs) are advanced software frameworks that drive modern research by orchestrating complex computational tasks and managing extensive data pipelines. These systems offer a range of essential features, including modularity
Externí odkaz:
http://arxiv.org/abs/2411.10890
Large Language Models (LLMs) have gained widespread popularity due to their exceptional capabilities across various domains, including chatbots, healthcare, education, content generation, and automated support systems. However, developers encounter n
Externí odkaz:
http://arxiv.org/abs/2411.10873
Differential privacy (DP) is applied when fine-tuning pre-trained large language models (LLMs) to limit leakage of training examples. While most DP research has focused on improving a model's privacy-utility tradeoff, some find that DP can be unfair
Externí odkaz:
http://arxiv.org/abs/2410.18749
Considering the difficulty of financial time series forecasting in financial aid, much of the current research focuses on leveraging big data analytics in financial services. One modern approach is to utilize "predictive analysis", analogous to forec
Externí odkaz:
http://arxiv.org/abs/2410.19025
Autor:
Hossain, Tanvir, Saifuddin, Khaled Mohammed, Islam, Muhammad Ifte Khairul, Tanvir, Farhan, Akbas, Esra
Graph Neural Network (GNN) achieves great success for node-level and graph-level tasks via encoding meaningful topological structures of networks in various domains, ranging from social to biological networks. However, repeated aggregation operations
Externí odkaz:
http://arxiv.org/abs/2407.11928
Autor:
Ali, Md Shahin, Ahsan, Md Manjurul, Tasnim, Lamia, Afrin, Sadia, Biswas, Koushik, Hossain, Md Maruf, Ahmed, Md Mahfuz, Hashan, Ronok, Islam, Md Khairul, Raman, Shivakumar
Data privacy has become a major concern in healthcare due to the increasing digitization of medical records and data-driven medical research. Protecting sensitive patient information from breaches and unauthorized access is critical, as such incident
Externí odkaz:
http://arxiv.org/abs/2405.13832
Predicting events such as political protests, flu epidemics, and criminal activities is crucial to proactively taking necessary measures and implementing required responses to address emerging challenges. Capturing contextual information from textual
Externí odkaz:
http://arxiv.org/abs/2404.15612
Autor:
Berinde, Vasile, Saleh, Khairul
In this paper we propose new averaged iterative algorithms designed for solving a split common fixed-point problem in the class of demicontractive mappings. The algorithms are obtained by inserting an averaged term into the algorithms used in [Li, R.
Externí odkaz:
http://arxiv.org/abs/2406.15366
Probabilistic bit (p-bit)-based compute engines utilize the unique capability of a p-bit to probabilistically switch between two states to solve computationally challenging problems. However, when solving problems that require more than two states (e
Externí odkaz:
http://arxiv.org/abs/2403.06436