Alport syndrome: Proteomic analysis identifies early molecular pathway alterations in Col4a3 knock out mice von Nicolaou, O, Kousios, A, Sokratous, K, Potamiti, L, Koniali, L, Neophytou, G, Papacharalampous, R, Zanti, M, Ioannou, K, Hadjisavvas, A, Stingl, C, Luider, TM, Kyriacou, K

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Phase II study of temozolomide and concomitant whole-brain radiotherapy in patients with brain metastases from solid tumors von Kouvaris, John R, Miliadou, Anthi, Kouloulias, Vassilis E, Kolokouris, Dimitrios, Balafouta, Myrsini J, Papacharalampous, Xenofon N, Vlahos, Lambros J

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Femoral muscle metastasis from gastric carcinoma von Gogou, Pinelopi V, Polydorou, Andreas, Papacharalampous, Xenophon N, Kondi-Paphiti, Agatha, Balafouta, Myrsini J, Gennatas, Constantinos S, Kouvaris, John R

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Cervical intraspinal extradural primitive neuroectodermal tumour in an adult von Gogou, Pinelopi V, Balafouta, Myrsini J, Gennatas, Constantinos S, Kondi-Paphiti, Agatha, Papacharalampous, Xenophon N., Michalaki, Vasiliki, Kouvaris, John R

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Solitary brain metastasis from classic biphasic pulmonary blastoma: a case report and review of the literature von Kouvaris, John R, Gogou, Penelope V, Papacharalampous, Xenofon N, Kostara, Helen J, Balafouta, Myrsini J, Vlahos, Lambros J

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Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability von Papacharalampous, Georgia, Tyralis, Hristos

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A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources von Tyralis, Hristos, Papacharalampous, Georgia, Langousis, Andreas

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A new rural in the city: A no-middlemen markets’ ethnography von Papacharalampous, Nafsika

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Hydrological post-processing for predicting extreme quantiles von Tyralis, Hristos, Papacharalampous, Georgia

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Boosting algorithms in energy research: a systematic review von Tyralis, Hristos, Papacharalampous, Georgia

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Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms von Tyralis, Hristos, Papacharalampous, Georgia, Langousis, Andreas

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Probabilistic Water Demand Forecasting Using Quantile Regression Algorithms von Papacharalampous, Georgia, Langousis, Andreas

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A review of predictive uncertainty estimation with machine learning von Tyralis, Hristos, Papacharalampous, Georgia

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Variable Selection in Time Series Forecasting Using Random Forests von Tyralis, Hristos, Papacharalampous, Georgia

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Perceived corporate social responsibility and affective commitment: The mediating role of psychological capital and the impact of employee participation von Papacharalampous, Nikolaos, Papadimitriou, Dimitra

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Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes von Papacharalampous, Georgia, Tyralis, Hristos, Koutsoyiannis, Demetris

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How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset von Tyralis, Hristos, Papacharalampous, Georgia, Tantanee, Sarintip

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Quantile-Based Hydrological Modelling von Tyralis, Hristos, Papacharalampous, Georgia

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Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS von Tyralis, Hristos, Papacharalampous, Georgia, Burnetas, Apostolos, Langousis, Andreas

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Time Series Features for Supporting Hydrometeorological Explorations and Predictions in Ungauged Locations Using Large Datasets von Papacharalampous, Georgia, Tyralis, Hristos

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