Search Results - "Liparas, Dimitris"

Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer’s disease patients: From the alzheimer’s disease neuroimaging initiative (ADNI) database by Dimitriadis, S.I., Liparas, Dimitris, Tsolaki, Magda N.

“…•1st place in International Challenge for Automated Prediction of MCI from MRI Data.•Multi-class classification of normal control, MCI, converting MCI, and…”
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How random is the random forest? Random forest algorithm on the service of structural imaging biomarkers for Alzheimer's disease: from Alzheimer's disease neuroimaging initiative (ADNI) database by Dimitriadis, Stavros, Liparas, Dimitris

“…Neuroinformatics is a fascinating research field that applies computational models and analytical tools to high dimensional experimental neuroscience data for…”
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A Multimodal Analytics Platform for Journalists Analyzing Large-Scale, Heterogeneous Multilingual, and Multimedia Content by Vrochidis, Stefanos, Moumtzidou, Anastasia, Gialampoukidis, Ilias, Liparas, Dimitris, Casamayor, Gerard, Wanner, Leo, Heise, Nicolaus, Wagner, Tilman, Bilous, Andriy, Jamin, Emmanuel, Simeonov, Boyan, Alexiev, Vladimir, Busch, Reinhard, Arapakis, Ioannis, Kompatsiaris, Ioannis

“…Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood,…”
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Multimedia retrieval based on non-linear graph-based fusion and partial least squares regression by Gialampoukidis, Ilias, Moumtzidou, Anastasia, Liparas, Dimitris, Tsikrika, Theodora, Vrochidis, Stefanos, Kompatsiaris, Ioannis

“…Heterogeneous sources of information, such as images, videos, text and metadata are often used to describe different or complementary views of the same…”
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Incorporating resting state dynamics in the analysis of encephalographic responses by means of the Mahalanobis–Taguchi strategy by Liparas, Dimitris, Laskaris, Nikolaos, Angelis, Lefteris

“…► The Mahalanobis–Taguchi strategy is introduced for single-trial analysis of brain responses. ► Signals of resting-state activity are exploited for the…”
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Applying the Mahalanobis-Taguchi strategy for software defect diagnosis by Liparas, Dimitris, Angelis, Lefteris, Feldt, Robert

“…The Mahalanobis-Taguchi (MT) strategy combines mathematical and statistical concepts like Mahalanobis distance, Gram-Schmidt orthogonalization and experimental…”
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A hybrid graph-based and non-linear late fusion approach for multimedia retrieval by Gialampoukidis, Ilias, Moumtzidou, Anastasia, Liparas, Dimitris, Vrochidis, Stefanos, Kompatsiaris, Ioannis

“…Nowadays, multimedia retrieval has become a task of high importance, due to the need for efficient and fast access to very large and heterogeneous multimedia…”
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A multimedia interactive search engine based on graph-based and non-linear multimodal fusion by Moumtzidou, Anastasia, Gialampoukidis, Ilias, Mironidis, Theodoros, Liparas, Dimitris, Vrochidis, Stefanos, Kompatsiaris, Ioannis

“…This paper presents an interactive multimedia search engine, which is capable of searching into multimedia collections by fusing textual and visual…”
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Predicting fault-prone software components in telecommunication assembly patches with imbalanced datasets by Liparas, Dimitris, Totlis, Ioannis, Angelis, Lefteris, Stamelos, Ioannis

“…Software quality is imperative in the telecommunication industry. This has led to research towards the development of classification models, able to give a…”
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MULTISENSOR: Development of multimedia content integration technologies for journalism, media monitoring and international exporting decision support by Vrochidis, Stefanos, Kompatsiaris, Ioannis, Casamayor, Gerard, Arapakis, Ioannis, Busch, Reinhard, Alexiev, Vladimir, Jamin, Emmanuel, Jugov, Michael, Heise, Nicolaus, Forrellat, Teresa, Liparas, Dimitris, Wanner, Leo, Miliaraki, Iris, Aleksic, Vera, Simov, Kiril, Mas Soro, Alan, Eckhoff, Mirja, Wagner, Tilman, Puigbo, Marti

“…This paper presents an overview and the first results of the FP7 MULTISENSOR project, which deals with multidimensional content integration of multimedia…”
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