activity
20182024
most citedExploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

455 citations · 656 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

cs.SD2021★ 5 cited

Sounds of COVID-19: exploring realistic performance of audio-based digital testing

Jing Han, Tong Xia, Dimitris Spathis +9

Researchers have been battling with the question of how we can identify Coronavirus disease (COVID-19) cases efficiently, affordably and at scale. Recent work has shown how audio b…

cs.DC2021

Pronto: Federated Task Scheduling

Andreas Grammenos, Evangelia Kalyvianaki, Peter Pietzuch

We present a federated, asynchronous, memory-limited algorithm for online task scheduling across large-scale networks of hundreds of workers. This is achieved through recent advanc…

math.OC2021

An Asynchronous Approximate Distributed Alternating Direction Method of Multipliers in Digraphs

Wei Jiang, Andreas Grammenos, Evangelia Kalyvianaki +1

In this work, we consider the asynchronous distributed optimization problem in which each node has its own convex cost function and can communicate directly only with its neighbors…

cs.DC2021

Optimal CPU Scheduling in Data Centers via a Finite-Time Distributed Quantized Coordination Mechanism

Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki +3

In this paper we analyze the problem of optimal task scheduling for data centers. Given the available resources and tasks, we propose a fast distributed iterative algorithm which o…

eess.AS2021★ 2 cited

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

Björn W. Schuller, Anton Batliner, Christian Bergler +21

The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the CO…

cs.SD2021★ 87 cited

Exploring Automatic COVID-19 Diagnosis via voice and symptoms from Crowdsourced Data

Jing Han, Chloë Brown, Jagmohan Chauhan +6

The development of fast and accurate screening tools, which could facilitate testing and prevent more costly clinical tests, is key to the current pandemic of COVID-19. In this con…

cs.DC2021★ 25 cited

CPU Scheduling in Data Centers Using Asynchronous Finite-Time Distributed Coordination Mechanisms

Andreas Grammenos, Themistoklis Charalambous, Evangelia Kalyvianaki

We propose an asynchronous iterative scheme that allows a set of interconnected nodes to distributively reach an agreement within a pre-specified bound in a finite number of steps.…