output
19982026
most citedClustering and Community Detection in Directed Networks: A Survey

599 citations

Showing 2021Show all

19 papers · 1 filter

cs.SE2021★ 8 cited

Software Engineering Education Knowledge Versus Industrial Needs

Georgios Liargkovas, Angeliki Papadopoulou, Zoe Kotti +1

Contribution: Determine and analyze the gap between software practitioners' education outlined in the 2014IEEE/ACM Software Engineering Education Knowledge (SEEK) and industrial ne…

cs.SE2021★ 15 cited

Standing on Shoulders or Feet? An Extended Study on the Usage of the MSR Data Papers

Zoe Kotti, Konstantinos Kravvaritis, Konstantina Dritsa +1

Context: The establishment of the Mining Software Repositories (MSR) data showcase conference track has encouraged researchers to provide data sets as a basis for further empirical…

cs.CL2021

Toxicity Detection can be Sensitive to the Conversational Context

Alexandros Xenos, John Pavlopoulos, Ion Androutsopoulos +3

User posts whose perceived toxicity depends on the conversational context are rare in current toxicity detection datasets. Hence, toxicity detectors trained on existing datasets wi…

stat.CO2021

Entropy-based adaptive Hamiltonian Monte Carlo

Marcel Hirt, Michalis K. Titsias, Petros Dellaportas

Hamiltonian Monte Carlo (HMC) is a popular Markov Chain Monte Carlo (MCMC) algorithm to sample from an unnormalized probability distribution. A leapfrog integrator is commonly used…

cs.CL2021★ 39 cited

EDGAR-CORPUS: Billions of Tokens Make The World Go Round

Lefteris Loukas, Manos Fergadiotis, Ion Androutsopoulos +1

We release EDGAR-CORPUS, a novel corpus comprising annual reports from all the publicly traded companies in the US spanning a period of more than 25 years. To the best of our knowl…

q-bio.PE2021

Combining COVID-19 Vaccination with Social Distancing Measures

Evangelos F. Magirou

We analyze an optimal control version of a simple SIR epidemiology model that includes a partially specified vaccination policy and takes into account fatigue from protracted appli…

cs.SE2021★ 8 cited

Automated Refactoring of Legacy JavaScript Code to ES6 Modules

Katerina Paltoglou, Vassilis E. Zafeiris, N. A. Diamantidis +1

The JavaScript language did not specify, until ECMAScript 6 (ES6), native features for streamlining encapsulation and modularity. Developer community filled the gap with a prolifer…

cs.CR2021

Enabling self-verifiable mutable content items in IPFS using Decentralized Identifiers

Nikos Fotiou, Vasilios A. Siris, George C. Polyzos

In IPFS content identifiers are constructed based on the item's data therefore the binding between an item's identifier and its data can be deterministically verified. Nevertheless…

stat.ME2021★ 8 cited

Misuse of the sign test in narrative synthesis of evidence

Stavros Nikolakopoulos

In narrative synthesis of evidence, it can be the case that the only quantitative measures available concerning the efficacy of an intervention is the direction of the effect, i.e.…

stat.ME2021★ 2 cited

A Metropolized adaptive subspace algorithm for high-dimensional Bayesian variable selection

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

A simple and efficient adaptive Markov Chain Monte Carlo (MCMC) method, called the Metropolized Adaptive Subspace (MAdaSub) algorithm, is proposed for sampling from high-dimensiona…

cs.CR2021

Capability-based access control for multi-tenant systems using OAuth 2.0 and Verifiable Credentials

Nikos Fotiou, Vasilios A. Siris, George C. Polyzos

We propose a capability-based access control technique for sharing Web resources, based on Verifiable Credentials (VCs) and OAuth 2.0. VCs are a secure means for expressing claims…

cs.PF2021★ 3 cited

Age of information distribution under dynamic service preemption

George Kesidis, Takis Konstantopoulos, Michael A. Zazanis

Age of Information (AoI) has emerged as an important quality-of-service measure for applications that prioritize delivery of the freshest information, e.g., virtual or augmented re…

cs.DM2021

Pareto optimal exchange with indifferent endowments

Pavlos Eirinakis, Ioannis Mourtos, Michalis Samaris

We investigate a market without money in which agents can offer certain goods (or multiple copies of an agent-specific good) in exchange for goods of other agents. The exchange mus…

cs.CL2021

Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases

Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis +3

Interpretability or explainability is an emerging research field in NLP. From a user-centric point of view, the goal is to build models that provide proper justification for their…

stat.ME2021★ 13 cited

Extending the Mann-Kendall test to allow for measurement uncertainty

Stavros Nikolakopoulos, Eric Cator, Mart P. Janssen

The Mann-Kendall test for trend has gained a lot of attention in a range of disciplines, especially in the environmental sciences. One of the drawbacks of the Mann-Kendall test whe…

stat.ME2021★ 3 cited

Bayesian Evidence Synthesis for the common effect model

Stavros Nikolakopoulos, Björn Alfons Edmar, Ioannis Ntzoufras

Bayes Factors, the Bayesian tool for hypothesis testing, are receiving increasing attention in the literature. Compared to their frequentist rivals (-values or test statistics),…

cs.CL2021★ 8 cited

How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings

Yanzhu Guo, Christos Xypolopoulos, Michalis Vazirgiannis

Words are malleable objects, influenced by events that are reflected in written texts. Situated in the global outbreak of COVID-19, our research aims at detecting semantic shifts i…

math.OC2021★ 1 cited

Single vs Dynamic Lead-Time Quotations in Make-To-Order Systems with Delay-Averse Customers

Myron Benioudakis, Apostolos Burnetas, George Ioannou

We develop a model for lead-time quotation in a Markovian make-to-order production or service system with strategic customers who exhibit risk aversion. Based on a CARA utility fun…

cs.LG2021★ 1 cited

Learning Parametrised Graph Shift Operators

George Dasoulas, Johannes Lutzeyer, Michalis Vazirgiannis

In many domains data is currently represented as graphs and therefore, the graph representation of this data becomes increasingly important in machine learning. Network data is, im…