Publicatii recente
Publicatii recente
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Linear Discriminant Analysis Tumour Classification for Unsupervised Segmented Mammographies (2023)
Abstract Between 2015 and 2020, 7.8 million women were diagnosed with breast cancer. If the cancer is discovered early, it can be completely cured. Computer-aided detection and diagnosis systems are […]
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Facilitating Model Training With Automated Techniques (2023)
Abstract Automating artificial intelligence (AI) model training has emerged as a significant challenge in the field of automation. The complete pipeline from raw data to model deployment poses the need […]
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Towards Good Practices for Collaborative Development of ML-Based Systems (2023)
Abstract The field of Artificial Intelligence (AI) has rapidly transformed from a buzzword technology to a fundamental aspect of numerous industrial software applications. However, this quick transition has not allowed […]
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Efficient Academic Retrieval System Based on Aggregated Sources (2023)
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 […]
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Malicious Web Links Detection Using Ensemble Models (2023)
Abstract Malicious links are becoming the main propagating vector for web-malware. They may lead to serious security issues, such as phishing, distribution of fake news and low-quality content, drive-by-downloads, and […]
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MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment (2023)
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 local staging […]
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Examining the Social Behavior of Ant Colonies Using Complex Networks (2023)
Abstract This paper proposes the use of Complex Network Theory to model the interactions between ants and analyze their social behavior. Specifically, the study focuses on six colonies of ants […]
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Extended Mammogram Classification From Textural Features (2023)
Abstract The efficient analysis of digital mammograms has an important role in the early detection of breast cancer and can lead to a higher percentage of recovery. This paper presents […]
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Malicious Web Links Detection – A Comparative Analysis of Machine Learning Algorithms (2023)
Abstract One of the most challenging categories of threats circulating into the online world is social engineering, with malicious web links, fake news, clickbait, and other tactics. Malware URLs are […]
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Comparison of Data Models for Unsupervised Twitter Sentiment Analysis (2023)
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 […]
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