IEEE

Multilingual and Multi-Class Sentiment Classification Using Machine Learning, BERT, and GPT-4o-mini

Abstract: In this study, we investigate multilingual and multiclass sentiment classification by analyzing datasets in Turkish, English, and Italian. The proposed approach consists of three main stages ...
IEEE

Real-Time Detection and Multi-Class Classification of DGAs With HybridBERT

Abstract: Domain fluxing, a technique employed by attackers to evade conventional Command and Control detection, presents a significant challenge for cybersecurity. This technique leverages Domain ...
GitHub

MR-FIQA: Face Image Quality Assessment with Multi-Reference Representations from Synthetic Data Generation

Stage-1 Generation: The code in this stage is mainly built on the PyTorch framework. Specifically, it requires PyTorch version 1.10.0 or later, along with the ...
eLife

Retrosplenial cortex enables context-dependent goal-directed sensorimotor transformation

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
GitHub

Multi Agent Banking Assistant with Python and Microsoft Agent Framework

The core use case of this Proof of Concept (PoC) revolves around a banking personal assistant designed to revolutionize the way users interact with their bank account information, transaction history, ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...