Evaluating Deep Learning Models for Cross-Platform UI Component Detection: A Study Across Web, Desktop, and Mobile Interfaces (2025)

Procedia Computer Science Authors Madalina Dicu, Camelia Chira Abstract User interfaces look different across web, desktop, and mobile platforms — not just in layout, but in how buttons, icons, and text appear. This makes it hard for deep learning models trained on one platform to accurately detect UI components on another. In this paper,…

GenGUI: A Dataset for Automatic Generation of Web User Interfaces Using ChatGPT (2025)

International Conference on Agents and Artificial Intelligence Authors Madalina Dicu, Enol García González, Camelia Chira, José R. Villar Abstract The identification of elements in user interfaces is a problem that can generate great interest in current times due to the significant interaction between users and machines. Digital technologies are increasingly used to carry out…

UICVD: A Computer Vision UI Dataset for Training RPA Agents (2024)

International Conference on Evaluation of Novel Approaches to Software Engineering Authors Madalina Dicu, Adrian Sterca, Camelia Chira, R. Orghidan Abstract This paper introduces the UICVD Dataset, a novel resource fostering advancements in Robotic Process Au-tomation (RPA) and Computer Vision. The paper focuses on recognizing UI (User Interface) components of a web application which is…

Efficient Academic Retrieval System Based on Aggregated Sources (2023)

International Conference on Evaluation of Novel Approaches to Software Engineering Authors Virginia Niculescu, H. Greblă, Adrian Sterca, Darius Bufnea Abstract On account of the extreme expansion of the scientific research paper databases, the usage of searching and recommender systems in this area increased, as they can help researchers find appropriate papers by searching in…

Advances in Clickbait and Fake News Detection Using New Language-independent Strategies (2021)

Journal of Communications Software and Systems Authors C. Coste, Darius Bufnea Abstract Online publishers rely on different techniques to trap web visitors, clickbait being one such technique. Besides being a bad habit, clickbait is also a strong indicator for fake news spreading. Its presence in online media leads to an overall bad browsing experience…