Publication description
ITRIA 2015. Computational Methods in Data Analysis
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ITRIA 2015. Computational Methods in Data Analysis
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ITRIA 2015. Computational Methods in Data Analysis, Spis treści
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Cena, Anna, Clustering and Aggregation of Informetric Data Sets.
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Charzyńska, Agata, Review on Sensitivity Analysis in Biochemical Models.
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Kopka, Piotr, Approximate Bayesian Computation Methods in theLocalization of Atmospheric Contamination Sources in anUrban Area.
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Lorenc, Kamil, Modified Concentric Rings Trajectory (cCR) in Hyperpolarized 13C Magnetic Resonance Spectroscopy Imaging.
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Ładyżyński, Paweł P., Modeling Vague Preferences in Recommender Systems.
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Łącka, Hanna, On the Use of BOWA Operators in Cluster Analysis for Collaborative Filtering.
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Pawłowski, Michał, Modelling Spot Prices on the Polish Power Exchange.
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Pstraś, Leszek, Personalised Simulation of Haemodynamic Response to the Valsalva Manoeuvre.
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Sołtys, Michał, Boosting Techniques for Uplift Modelling.
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Szymanowski, Hubert, Selection Consistency of GIC for Small-n-Large-p Sparse Logistic Regression Model.
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Tatjewski, Marcin, Distributional Proteomics: Modelling Amino Acid Relationships by Measuring Their Patterns of Statistical Occurrence Across Proteins.
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Zaniewicz, Łukasz, Uplift Modelling Using Kernel Support Vector Machines.
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Zubek, Julian, Evaluating Multi-level Machine Learning Prediction of Protein-protein Interactions.
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Jaroszewicz, Szymon, Geometric Approach to Stepwise Regression.
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