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    Article

    Self organizing maps for cultural content delivery

    Tailored analytics play a key role in the successful delivery of cultural content to huge and diverse groups. Primarily the latter depends on a number of information retrieval factors determining user experien...

    Georgios Drakopoulos, Ioanna Giannoukou in Neural Computing and Applications (2022)

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    Article

    Transform-based graph topology similarity metrics

    Graph signal processing has recently emerged as a field with applications across a broad spectrum of fields including brain connectivity networks, logistics and supply chains, social media, computational aesth...

    Georgios Drakopoulos, Eleanna Kafeza, Phivos Mylonas in Neural Computing and Applications (2021)

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    Article

    Discovering sentiment potential in Twitter conversations with Hilbert–Huang spectrum

    Does a tweet with specific emotional content posted by an influential account have the capability to shape or even completely alter the opinions of its readers? Moreover, can other influential accounts further...

    Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas in Evolving Systems (2021)

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    An adversarial semi-supervised approach for action recognition from pose information

    The collection of video data for action recognition is very susceptible to measurement bias; the equipment used, camera angle and environmental conditions are all factors that majorly affect the distribution o...

    George Pikramenos, Eirini Mathe, Eleanna Vali in Neural Computing and Applications (2020)

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    Article

    A genetic algorithm for spatiosocial tensor clustering

    Tensor clustering is a knowledge management technique which is well known as a major algorithmic and technological driver behind a broad applications spectrum. The latter ranges from multimodal social media an...

    Georgios Drakopoulos, Foteini Stathopoulou, Andreas Kanavos in Evolving Systems (2020)

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    Article

    Evaluating graph resilience with tensor stack networks: a Keras implementation

    In communication networks resilience or structural coherency, namely the ability to maintain total connectivity even after some data links are lost for an indefinite time, is a major design consideration. Eval...

    Georgios Drakopoulos, Phivos Mylonas in Neural Computing and Applications (2020)