High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in ...

To effectively leverage this multi-layer information, our approach consists of two main steps designed to explore and integrate features from different levels of the language model: Firstly, as the ...

Histopathology is a critical tool for disease diagnosis and identifying cancer via microscopic tissue analysis. Traditional deep learning methods for histopathology often require extensive labeled ...

Nassif, A.B., Ho, D. and Capretz, L.F. (2013) Towards an Early Software Estimation Using Log-Linear Regression and a Multilayer Perceptron Model. Journal of Systems and Software, 86, 144-160.

Repository files navigation FedEx Analytics Engineering Assignment Overview This is my submission for the FedEx Analytics Engineering Assignment. It features a contained environment with a data ...

Evaluation of de novo oligometastatic prostate cancer patients managed with radiation therapy: A multi-institution, real-world dataset.

Add a description, image, and links to the multilayer-network-dataset topic page so that developers can more easily learn about it ...

Early detection, better outcomes: The AI breakthrough in heart disease prevention One of the most promising applications of the EMLP framework lies in its integration with Internet of Things (IoT) ...

We conducted extensive experiments and comparative analysis of our proposed model with 19 popular or state-of-the-art (SOTA) methods on five renowned polyp benchmark datasets. To further validate the ...