activity
20042021
most citedAn agent framework for dynamic agent retraining: Agent academy

14 citations · 14 across the 3 of their papers we have counts for

collaborators

7 papers

cs.LG2021

pygrank: A Python Package for Graph Node Ranking

Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris +1

We introduce pygrank, an open source Python package to define, run and evaluate node ranking algorithms. We provide object-oriented and extensively unit-tested algorithm components…

cs.SI2021

Prior Signal Editing for Graph Filter Posterior Fairness Constraints

Emmanouil Krasanakis, Symeon Papadopoulos, Ioannis Kompatsiaris +1

Graph filters are an emerging paradigm that systematizes information propagation in graphs as transformation of prior node values, called graph signals, to posterior scores. In thi…

cs.MM2020

Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning

Pavlos Avgoustinakis, Giorgos Kordopatis-Zilos, Symeon Papadopoulos +2

In this work, we address the problem of audio-based near-duplicate video retrieval. We propose the Audio Similarity Learning (AuSiL) approach that effectively captures temporal pat…

cs.RO2018

SRCA - The Scalable Robotic Cloud Agents Architecture

Vasilis N. Remmas, Konstantinos L. Panayiotou, Emmanouil G. Tsardoulias +1

In an effort to penetrate the market at an affordable cost, consumer robots tend to provide limited processing capabilities, just enough to serve the purpose they have been designe…

cs.CY2018

Creating an extrovert robotic assistant via IoT networking devices

Panagiotis Doxopoulos, Konstantinos L. Panayiotou, Emmanouil G. Tsardoulias +1

The communication and collaboration of Cyber-Physical Systems, including machines and robots, among themselves and with humans, is expected to attract researchers' interest for the…

cs.CV2018

Expanding a robot's life: Low power object recognition via FPGA-based DCNN deployment

Panagiotis G. Mousouliotis, Konstantinos L. Panayiotou, Emmanouil G. Tsardoulias +2

FPGAs are commonly used to accelerate domain-specific algorithmic implementations, as they can achieve impressive performance boosts, are reprogrammable and exhibit minimal power c…