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

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

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

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

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

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

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

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Vpit: real-time embedded single object 3D tracking using voxel pseudo images von 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 von Triantafyllidou, Danai, Nousi, Paraskevi, Tefas, Anastasios

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AnIO: anchored input–output learning for time-series forecasting von 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 von Nousi, Paraskevi, Triantafyllidou, Danai, Tefas, Anastasios, Pitas, Ioannis

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

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

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First machine learning gravitational-wave search mock data challenge von 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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Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling von Nousi, Paraskevi, Fragkouli, Styliani-Christina, Passalis, Nikolaos, Iosif, Panagiotis, Apostolatos, Theocharis, Pappas, George, Stergioulas, Nikolaos, Tefas, Anastasios

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VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images von Oleksiienko, Illia, Nousi, Paraskevi, Passalis, Nikolaos, Tefas, Anastasios, Iosifidis, Alexandros

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Variational Voxel Pseudo Image Tracking von Oleksiienko, Illia, Nousi, Paraskevi, Passalis, Nikolaos, Tefas, Anastasios, Iosifidis, Alexandros

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New Gravitational Wave Discoveries Enabled by Machine Learning von Koloniari, Alexandra E, Koursoumpa, Evdokia C, Nousi, Paraskevi, Lampropoulos, Paraskevas, Passalis, Nikolaos, Tefas, Anastasios, Stergioulas, Nikolaos

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A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields von Nousi, Paraskevi, Mpampis, Emmanouil, Passalis, Nikolaos, Green, Ole, Tefas, Anastasios

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Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling von Styliani-Christina Fragkouli, Nousi, Paraskevi, Passalis, Nikolaos, Iosif, Panagiotis, Stergioulas, Nikolaos, Tefas, Anastasios

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