Preface to the Special Issue “State-of-the-Art Mathematical Applications in Europe” by Cristea, Irina, Siarry, Patrick, Dzemyda, Gintautas, Rogovchenko, Yuriy

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A narrative review: predicting liver transplant graft survival using artificial intelligence modeling by Gulla, Aiste, Jakiunaite, Ieva, Juchneviciute, Ivona, Dzemyda, Gintautas

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Is my visualization better than yours? Analyzing factors modulating exponential growth bias in graphs by Melnik-Leroy, Gerda Ana, Aidokas, Linas, Dzemyda, Gintautas, Dzemydaitė, Giedrė, Marcinkevičius, Virginijus, Tiešis, Vytautas, Usovaitė, Ana

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How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases by Melnik-Leroy, Gerda Ana, Dzemyda, Gintautas

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Optimization of the Maximum Likelihood Estimator for Determining the Intrinsic Dimensionality of High–Dimensional Data by Karbauskaitė, Rasa, Dzemyda, Gintautas

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Geometric multidimensional scaling: A new approach for data dimensionality reduction by Dzemyda, Gintautas, Sabaliauskas, Martynas

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Geometric multidimensional scaling: efficient approach for data dimensionality reduction by Dzemyda, Gintautas, Sabaliauskas, Martynas

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Artificial Neural Network-Based Decision Support System for Development of an Energy-Efficient Built Environment by Kaklauskas, Arturas, Dzemyda, Gintautas, Tupenaite, Laura, Voitau, Ihar, Kurasova, Olga, Naimaviciene, Jurga, Rassokha, Yauheni, Kanapeckiene, Loreta

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EfficientNet Convolutional Neural Network with Gram Matrices Modules for Predicting Sadness Emotion by Motiejauskas, Modestas, Dzemyda, Gintautas

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Big Multidimensional Datasets Visualization Using Neural Networks – Efficient Decision Support by Dzemyda, Gintautas, Medvedev, Viktor, Lupeikiene, Audrone, Kurasova, Olga, Caplinskas, Albertas

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Categorical Feature Encoding Techniques for Improved Classifier Performance when Dealing with Imbalanced Data of Fraudulent Transactions by Breskuvienė, Dalia, Dzemyda, Gintautas

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Preface. Journal's First 10 Years by Borzovs, Juris, Dzemyda, Gintautas, Vilo, Jaak

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Novel Machine learning approach for Self-Aware prediction based on the Contextual reasoning by Daranda, Andrius, Dzemyda, Gintautas

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Navigation Decision Support: Discover of Vessel Traffic Anomaly According to the Historic Marine Data by Daranda, Andrius, Dzemyda, Gintautas

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Emotional, affective and biometrical states analytics of a built environment by Kaklauskas, Arturas, Abraham, Ajith, Dzemyda, Gintautas, Raslanas, Saulius, Seniut, Mark, Ubarte, Ieva, Kurasova, Olga, Binkyte-Veliene, Arune, Cerkauskas, Justas

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A new web-based solution for modelling data mining processes by Medvedev, Viktor, Kurasova, Olga, Bernatavičienė, Jolita, Treigys, Povilas, Marcinkevičius, Virginijus, Dzemyda, Gintautas

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Deep learning‐based aggregate analysis to identify cut‐off points for decision‐making in pancreatic cancer detection by Dzemyda, Gintautas, Kurasova, Olga, Medvedev, Viktor, Šubonienė, Aušra, Gulla, Aistė, Samuilis, Artūras, Jagminas, Džiugas, Strupas, Kęstutis

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A new Recommendation Model for the User Clustering-Based Recommendation System by Rapečka, Aurimas, Dzemyda, Gintautas

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Customized ViNeRS Method for Video Neuro-Advertising of Green Housing by Kaklauskas, Arturas, Zavadskas, Edmundas Kazimieras, Schuller, Bjoern, Lepkova, Natalija, Dzemyda, Gintautas, Sliogeriene, Jurate, Kurasova, Olga

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TESTING THE RELATIONAL PERSPECTIVE MAP FOR VISUALIZATION OF MULTIDIMENSIONAL DATA by Karbauskaitė, Rasa, Marcinkevičius, Virginijus, Dzemyda, Gintautas

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