599 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National and Kapodistrian University of AthensGR24 papers
- National Technical University of AthensGR11 papers
- Athena Research and Innovation Center In Information Communication & Knowledge TechnologiesGR9 papers
- Athens State UniversityUS7 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Centrum Wiskunde & InformaticaNL7 papers
- Delft University of TechnologyNL7 papers
- École PolytechniqueFR7 papers
- University College LondonGB7 papers
- University of OxfordGB7 papers
- Laboratoire d'Informatique de l'École PolytechniqueFR6 papers
- University of AmsterdamNL6 papers
12 papers · 1 filter
Machine Learning for Software Engineering: A Tertiary Study
Zoe Kotti, Rafaila Galanopoulou, Diomidis Spinellis
Machine learning (ML) techniques increase the effectiveness of software engineering (SE) lifecycle activities. We systematically collected, quality-assessed, summarized, and catego…
Inconsistency identification in network meta-analysis via stochastic search variable selection
Georgios Seitidis, Stavros Nikolakopoulos, Ioannis Ntzoufras +1
The reliability of the results of network meta-analysis (NMA) lies in the plausibility of key assumption of transitivity. This assumption implies that the effect modifiers' distrib…
Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19
Lampros Bouranis, Nikolaos Demiris, Konstantinos Kalogeropoulos +1
We consider a flexible Bayesian evidence synthesis approach to model the age-specific transmission dynamics of COVID-19 based on daily mortality counts. The temporal evolution of t…
Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data
Giovanni Ballarin, Petros Dellaportas, Lyudmila Grigoryeva +3
Macroeconomic forecasting has recently started embracing techniques that can deal with large-scale datasets and series with unequal release periods. MIxed-DAta Sampling (MIDAS) and…
Convex Risk Measures for the Aggregation of Multiple Information Sources and Applications in Insurance
Georgios I. Papayiannis, Athanasios N. Yannacopoulos
We propose a novel class of convex risk measures, based on the concept of the Fréchet mean, designed in order to handle uncertainty which arises from multiple information sources r…
CougaR: Fast and Eclipse-Resilient Dissemination for Blockchain Networks
Evangelos Kolyvas, Spyros Voulgaris
Despite their development for over a decade, a key problem blockchains are still facing is scalability in terms of throughput, typically limited to a few transactions per second. A…
Model based clustering of multinomial count data
Panagiotis Papastamoulis
We consider the problem of inferring an unknown number of clusters in replicated multinomial data. Under a model based clustering point of view, this task can be treated by estimat…
Static Hedging of Freight Rate Risk in the Shipping Market under Model Uncertainty
Georgios I. Papayiannis
Freight rate derivatives constitute a very popular financial tool in shipping industry, that allows to the market participants and the individuals operating in the field, to reassu…
FiNER: Financial Numeric Entity Recognition for XBRL Tagging
Lefteris Loukas, Manos Fergadiotis, Ilias Chalkidis +4
Publicly traded companies are required to submit periodic reports with eXtensive Business Reporting Language (XBRL) word-level tags. Manually tagging the reports is tedious and cos…
Impact of Software Engineering Research in Practice: A Patent and Author Survey Analysis
Zoe Kotti, Georgios Gousios, Diomidis Spinellis
Existing work on the practical impact of software engineering (SE) research examines industrial relevance rather than adoption of study results, hence the question of how results h…
Robust Policy Selection and Harvest Risk Quantification for Natural Resources Management under Model Uncertainty
Georgios I. Papayiannis
In this work the problem of optimal harvesting policy selection for natural resources management under model uncertainty is investigated. Under the framework of the neoclassical gr…
Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos, Iordanis Koutsopoulos, Michalis K. Titsias
We propose a Stochastic Gradient Descent (SGD)-type algorithm for Personalized Federated Learning which can be particularly attractive for mobile energy-limited regimes due to its…