Procedia Computer Science Authors Iulia-Andreea Ion, Cristiana Moroz-Dubenco, A. Andreica Abstract Breast cancer is the most commonly diagnosed cancer among women worldwide, with early detection playing an essential role in improving survival rates. Detection of breast abnormalities at an early stage is best performed using mammography. This paper presents a new approach integrating advanced…
Diagnostics Authors T. Telecan, C. Caraiani, B. Boca, Roxana Sipos-Lascu, L. Dioşan, Z. Bálint, Raluca Maria Hendea, I. Andraș, Nicolae Crișan, M. Lupșor-Platon Abstract Background: Prostate cancer (PCa) is the most frequent neoplasia in the male population. According to the International Society of Urological Pathology (ISUP), PCa can be divided into two major groups,…
Authors Mihai Nadǎş, Laura Dioşan Abstract Automatic diacritic restoration is crucial for text processing in languages with rich diacritical marks, such as Romanian. This study evaluates the performance of several large language models (LLMs) in restoring diacritics in Romanian texts. Using a comprehensive corpus, we tested models including OpenAI’s GPT-3.5, GPT-4, GPT-4o, Google’s Gemini…
International Conference on Agents and Artificial Intelligence Authors Raluca-Diana Chiș, Mihai-Adrian Loghin, Cristina Mierlă, H. Muresan, Octav-Cristian Florescu Abstract This study presents our findings on estimating the horizontal rotation angle (yaw) of traffic signs from 2D images using deep learning techniques. The aim is to introduce novel approaches for accurately estimating a traffic sign’s…
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…
International Conference on Agents and Artificial Intelligence Authors Andrei Olar Abstract Can we control the writing style of large language models (LLMs) by specifying desired linguistic features? We address this question by investigating the impact of handcrafted linguistic feature (HLF) instructions on LLM-generated text. Our experiment evaluates various state-of-the-art LLMs using prompts incorporating HLF…
International Conference on Agents and Artificial Intelligence Authors Ioana-Alexandra Todericiu, L. Dioşan, Camelia Serban Abstract As virtual assistants (VAs) become essential to contemporary interactions, it is imperative to understand how to evaluate their functionalities. This study offers a comparison framework for assessing the design and execution of Amazon Alexa and Microsoft Copilot Studio, emphasizing…
Artificial Intelligence Applications and Innovations Authors Madalina Dicu, Camelia Chira Abstract This article examines the use of image augmentation techniques to improve icon detection in mobile interfaces, a critical task due to the small size of graphical user interface (GUI) elements and the insufficiency of comprehensive datasets. It evaluates whether diversifying the dataset or…
2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Authors C. Coste Abstract The latest improvements regarding the online world have come with great benefits, but, as well as dangerous drawbacks (i.e., web-malware). This article proposes to investigate the reliability and accuracy of a novel web-malware detection method by using images…
Ideal Authors Georgian Anghelescu, Camelia Chira, Kristoffer N. T. Månsson Abstract The integration of Artificial Intelligence (AI), particularly deep learning models like VGG16 and ResNet50, in the analysis of functional magnetic resonance imaging (fMRI) data has significantly advanced our understanding of brain functionality and the diagnosis of neurological disorders. This paper explores the application…
