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…

MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment (2023)

Diagnostics Authors B. Boca, C. Caraiani, T. Telecan, R. Pintican, A. Lebovici, I. Andraș, N. Crisan, Alexandru Pavel, L. Dioşan, Z. Bálint, M. Lupșor-Platon, M. Buruian Abstract Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative…

Comparison of Data Models for Unsupervised Twitter Sentiment Analysis (2023)

Studia Universitatis Babeș-Bolyai Informatica Authors Sergiu Limboi Abstract Identifying the sentiment of collected tweets has become a challenging and interesting task. In addition, mining and defining relevant features that can improve the quality of a classification system is crucial. The data modeling phase is fundamental for the whole process since it can reveal hidden…

Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem (2022)

International Symposium on Applied Machine Intelligence and Informatics Authors Anikó Kopacz, Ágnes Mester, S'andor Kolumb'an, Lehel Csató Abstract We propose a train rescheduling algorithm which applies a standardized feature selection based on pairwise conflicts in order to serve as input for the reinforcement learning framework. We implement an analytical method which identifies and optimally…

A Lexicon-based Feature for Twitter Sentiment Analysis (2022)

International Conference on Computational Photography Authors Sergiu Limboi, L. Dioşan Abstract Twitter Sentiment Analysis shows several challenges due to the platform’s features (e.g., short messages, colloquial style, etc.). People want to express their ideas related to personality, events, or breaking news. Social media is one of the fastest ways to express opinions, and research…

Artificial intelligence models for clinical usage in dentistry with a focus on dentomaxillofacial CBCT: a systematic review (2022)

Oral Radiology/Springer Authors Sorana Mureșanu, O. Almășan, M. Hedeșiu, L. Dioşan, C. Dinu, R. Jacobs Abstract This study aimed at performing a systematic review of the literature on the application of artificial intelligence (AI) in dental and maxillofacial cone beam computed tomography (CBCT) and providing comprehensive descriptions of current technical innovations to assist future…

An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election (2022)

International Symposium on INnovations in Intelligent SysTems and Applications Authors Sergiu Limboi, L. Dioşan Abstract The USA presidential election in 2020 has aroused the interest of society as a whole. Social media plays an essential role in campaigns due to how people express their ideas about a candidate. Therefore, analyzing messages posted on environments…

On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers? (2022)

Integrated Spatial Databases Authors D. Dobrean, L. Dioşan Abstract Mobile applications are one of the most used pieces of software nowadays, as they continue to expand, the architecture of those software systems becomes more important. In the fast-paced domain of the mobile world, the applications need to be developed rapidly and they need to…

An Evaluation of Image Texture Descriptors and their Invariant Properties (2022)

Symposium on Symbolic and Numeric Algorithms for Scientific Computing Authors Roxana Sipos-Lascu, L. Dioşan Abstract Image processing applications include image classification, image segmentation, image synthesis and many others. Each such task depends on extracting an effective set of features to characterize the images, and texture analysis has proven to output some of the most…