50 citations · 87 across the 7 of their papers we have counts for
7 papers
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
Georgios Tsoumplekas, Christos L. Athanasiadis, Dimitrios I. Doukas +2
Despite the rapid expansion of smart grids and large volumes of data at the individual consumer level, there are still various cases where adequate data collection to train accurat…
Event Detection and Retrieval on Social Media
Manos Schinas, Symeon Papadopoulos, Yiannis Kompatsiaris +1
In the recent years, we have witnessed the rapid adoption of social media platforms, such as Twitter, Facebook and YouTube, and their use as part of the everyday life of billions o…
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks
Georgios Papoudakis, Kyriakos C. Chatzidimitriou, Pericles A. Mitkas
Recent developments in deep reinforcement learning have enabled the creation of agents for solving a large variety of games given a visual input. These methods have been proven suc…
Robotic frameworks, architectures and middleware comparison
Emmanouil Tsardoulias, Pericles Mitkas
Nowadays, the construction of a complex robotic system requires a high level of specialization in a large number of diverse scientific areas. It is reasonable that a single researc…
Inducing Generalized Multi-Label Rules with Learning Classifier Systems
Fani A. Tzima, Miltiadis Allamanis, Alexandros Filotheou +1
In recent years, multi-label classification has attracted a significant body of research, motivated by real-life applications, such as text classification and medical diagnoses. Al…
An agent framework for dynamic agent retraining: Agent academy
P. Mitkas, A. Symeonidis, D. Kechagias +6
Agent Academy (AA) aims to develop a multi-agent society that can train new agents for specific or general tasks, while constantly retraining existing agents in a recursive mode. T…