Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data by Nousi, Paraskevi, Tsantekidis, Avraam, Passalis, Nikolaos, Ntakaris, Adamantios, Kanniainen, Juho, Tefas, Anastasios, Gabbouj, Moncef, Iosifidis, Alexandros

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New gravitational wave discoveries enabled by machine learning by Koloniari, Alexandra E, Koursoumpa, Evdokia C, Nousi, Paraskevi, Lampropoulos, Paraskevas, Passalis, Nikolaos, Tefas, Anastasios, Stergioulas, Nikolaos

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Deep label embedding learning for classification by Nousi, Paraskevi, Tefas, Anastasios

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Deep learning algorithms for discriminant autoencoding by Nousi, Paraskevi, Tefas, Anastasios

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Self-supervised autoencoders for clustering and classification by Nousi, Paraskevi, Tefas, Anastasios

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Dense convolutional feature histograms for robust visual object tracking by Nousi, Paraskevi, Tefas, Anastasios, Pitas, Ioannis

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Deep residual networks for gravitational wave detection by Nousi, Paraskevi, Koloniari, Alexandra E., Passalis, Nikolaos, Iosif, Panagiotis, Stergioulas, Nikolaos, Tefas, Anastasios

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Deep reinforcement learning for financial trading using multi-modal features by Avramelou, Loukia, Nousi, Paraskevi, Passalis, Nikolaos, Tefas, Anastasios

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Vpit: real-time embedded single object 3D tracking using voxel pseudo images by Oleksiienko, Illia, Nousi, Paraskevi, Passalis, Nikolaos, Tefas, Anastasios, Iosifidis, Alexandros

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Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining by Triantafyllidou, Danai, Nousi, Paraskevi, Tefas, Anastasios

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AnIO: anchored input–output learning for time-series forecasting by Stentoumi, Ourania, Nousi, Paraskevi, Tzelepi, Maria, Tefas, Anastasios

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Re-identification framework for long term visual object tracking based on object detection and classification by Nousi, Paraskevi, Triantafyllidou, Danai, Tefas, Anastasios, Pitas, Ioannis

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First machine learning gravitational-wave search mock data challenge by Schäfer, Marlin B., Zelenka, Ondřej, Nitz, Alexander H., Wang, He, Wu, Shichao, Guo, Zong-Kuan, Cao, Zhoujian, Ren, Zhixiang, Nousi, Paraskevi, Stergioulas, Nikolaos, Iosif, Panagiotis, Koloniari, Alexandra E., Tefas, Anastasios, Passalis, Nikolaos, Salemi, Francesco, Vedovato, Gabriele, Klimenko, Sergey, Mishra, Tanmaya, Brügmann, Bernd, Cuoco, Elena, Huerta, E. A., Messenger, Chris, Ohme, Frank

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Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method by Tzelepi, Maria, Nousi, Paraskevi, Tefas, Anastasios

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Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling by Fragkouli, Styliani-Christina, Nousi, Paraskevi, Passalis, Nikolaos, Iosif, Panagiotis, Stergioulas, Nikolaos, Tefas, Anastasios

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Anchored Input-Output Learning for Electrical Load Demand Forecasting by Nousi, Paraskevi, Tzelepi, Maria, Tefas, Anastasios

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Deep autoencoders for attribute preserving face de-identification by Nousi, Paraskevi, Papadopoulos, Sotirios, Tefas, Anastasios, Pitas, Ioannis

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Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling by Nousi, Paraskevi, Fragkouli, Styliani-Christina, Passalis, Nikolaos, Iosif, Panagiotis, Apostolatos, Theocharis, Pappas, George, Stergioulas, Nikolaos, Tefas, Anastasios

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Deep Convolutional Feature Histograms for Visual Object Tracking by Nousi, Paraskevi, Tefas, Anastasios, Pitas, Ioannis

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Joint Lightweight Object Tracking and Detection for Unmanned Vehicles by Nousi, Paraskevi, Triantafyllidou, Danai, Tefas, Anastasios, Pitas, Ioannis

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