65 citations · 287 across the 27 of their papers we have counts for
6 papers · 1 filter
Deep Active Perception for Object Detection using Navigation Proposals
Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas
Deep Learning (DL) has brought significant advances to robotics vision tasks. However, most existing DL methods have a major shortcoming, they rely on a static inference paradigm i…
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management
Paraskevi Nousi, Loukia Avramelou, Georgios Rodinos +10
Financial portfolio management describes the task of distributing funds and conducting trading operations on a set of financial assets, such as stocks, index funds, foreign exchang…
Non-negative isomorphic neural networks for photonic neuromorphic accelerators
Manos Kirtas, Nikolaos Passalis, Nikolaos Pleros +1
Neuromorphic photonic accelerators are becoming increasingly popular, since they can significantly improve computation speed and energy efficiency, leading to femtojoule per MAC ef…
Multiplicative update rules for accelerating deep learning training and increasing robustness
Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
Even nowadays, where Deep Learning (DL) has achieved state-of-the-art performance in a wide range of research domains, accelerating training and building robust DL models remains a…
Deep Learning for Energy Time-Series Analysis and Forecasting
Maria Tzelepi, Charalampos Symeonidis, Paraskevi Nousi +5
Energy time-series analysis describes the process of analyzing past energy observations and possibly external factors so as to predict the future. Different tasks are involved in t…
Variational Voxel Pseudo Image Tracking
Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis +2
Uncertainty estimation is an important task for critical problems, such as robotics and autonomous driving, because it allows creating statistically better perception models and si…