Publicatii recente
Publicatii recente
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Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem (2022)
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 […]
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A Lexicon-based Feature for Twitter Sentiment Analysis (2022)
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 […]
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Artificial intelligence models for clinical usage in dentistry with a focus on dentomaxillofacial CBCT: a systematic review (2022)
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 […]
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An unsupervised approach for Twitter Sentiment Analysis of USA 2020 Presidential Election (2022)
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 […]
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A pedagogical approach in interleaving software quality concerns at an artificial intelligence course (2022)
Abstract The software engineering industry is an everchanging domain requiring professionals to have a good knowledge base and adaptability skills.Artificial Intelligence (AI) has achieved substantial success in enhancing program analysis […]
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An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem (2022)
Abstract The critical node detection is a computational challenging problem with several applications in biology, sociology, etc. Minimizing the pairwise connectivity after removing k critical nodes is one of the most studied […]
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SERS liquid biopsy in breast cancer. What can we learn from SERS on serum and urine? (2022)
Abstract SERS analysis of biofluids, coupled with classification algorithms, has recently emerged as a candidate for point-of-care medical diagnosis. Nonetheless, despite the impressive results reported in the literature, there are […]
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On the use of multi–objective evolutionary classifiers for breast cancer detection (2022)
Abstract Purpose Breast cancer is one of the most common tumours in women, nevertheless, it is also one of the cancers that is most usually treated. As a result, early […]
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A Comparison of Meta-heuristic Based Optimization Methods Using Standard Benchmarks (2022)
Abstract Optimization problems are a type of problem in which multiple solutions satisfy the problem’s constraints, so not only must a good solution be found, but the objective is to […]
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Complex Network Analysis using Artificial Intelligence Algorithms (2022)
Abstract Network science is emerging as a vibrant research field with important applications in finance, biology, chemistry, physics, engineering and health. This short paper presents an overview of some challenging […]
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