Publicatii recente
Publicatii recente
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A musical similarity metric based on Symbolic Aggregate Approximation (2020)
Abstract We have continued our work in the field of AI-driven music synthesis and have improved upon our previous 3-layer gated recurrent unit neural network, with results confirming higher accuracy […]
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A Fast and Robust, Forehead-Augmented 3D Face Reconstruction from Multiple Images using Geometrical Methods (2020)
Abstract 3D Face Reconstruction is a complex problem in Computer Vision. Until recently the existing methods were based on multiple image captures and solving complex dense correspondences between different face […]
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A Versatile 3D Face Reconstruction from Multiple Images for Face Shape Classification (2019)
Abstract In this paper we present a 3D facial reconstruction algorithm for facial shape classification. We propose a reconstruction method that preserves facial ratios independent on the captured poses allowing […]
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Bach 2.0 – Generating Classical Music using Recurrent Neural Networks (2019)
Abstract The main incentive of this paper is to approach the sensitive subject of classical music synthesis in the form of musical scores by providing an analysis of different Recurrent […]
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Mammography Lesion Detection Using an Improved GrowCut Algorithm (2021)
Abstract Breast cancer is one of the most common types of cancer amongst women, but it is also one of the most frequently cured cancers. Because of this, early detection […]
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A Comparative Analysis of Similarity Measures in Memory-Based Collaborative Filtering (2019)
Abstract Recommendation Systems are powerful tools generating relevant suggestions for customers, as support in the decision-making process. The most sensitive step in the recommendation process is the choice of the […]
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A Sentiment-based Similarity Model for Recommendation Systems (2020)
Abstract Recommendation Systems are tools that interpret the users’ preferences in an attempt to generate fitting suggestions. Studies in this domain of research tend to conclude that the numerical user […]
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Hybrid Features for Twitter Sentiment Analysis (2020)
Abstract The Twitter platform is one of the most popular social media environments that gathers concise messages regarding the topics of the moment expressed by its users. Processing sentiments from […]
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A restaurants recommendation system: Improving rating predictions using sentiment analysis (2019)
Abstract Most users often find themselves in a situation when they need to answer the same question: which product, movie, vacation offer, restaurant or book is the best to choose? […]
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Towards feature selection for digital mammogram classification (2021)
Abstract The most common cancer type amongst women is the breast cancer with a large number of cases reported each year, many of them diagnosed in an advanced phase. In […]
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