Search Results for author:
Found 5 papers, 2 papers with code
Using Shallow Neural Networks with Functional Connectivity from EEG signals for Early Diagnosis of Alzheimer's and Frontotemporal Dementia
We compare three supervised machine learning techniques to the CNN models to classify EEG signals of AD / FTD and control cases.
Zero-shot Bilingual App Reviews Mining with Large Language Models
App reviews from app stores are crucial for improving software requirements.
Boosting GUI Prototyping with Diffusion Models
GUI (graphical user interface) prototyping is a widely-used technique in requirements engineering for gathering and refining requirements, reducing development risks and increasing stakeholder engagement.
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG
We compared this models to three other neural network models with different depths applied to a mental arithmetic task using eye-closed state adapted for patients suffering from motor disorders and a decline in visual functions.
Towards a Data-Driven Requirements Engineering Approach: Automatic Analysis of User Reviews
We are concerned by Data Driven Requirements Engineering, and in particular the consideration of user's reviews.
