activity
20152023
most citedEmploying traditional machine learning algorithms for big data streams analysis: the case of object trajectory prediction

76 citations · 102 across the 7 of their papers we have counts for

collaborators

9 papers

cs.LG2023

An evaluation of time series forecasting models on water consumption data: A case study of Greece

Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes +1

In recent years, the increased urbanization and industrialization has led to a rising water demand and resources, thus increasing the gap between demand and supply. Proper water di…

cs.DC2023★ 9 cited

Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction

Theodoros Theodoropoulos, John Violos, Stylianos Tsanakas +3

The proliferation of demanding applications and edge computing establishes the need for an efficient management of the underlying computing infrastructures, urging the providers to…

cs.LG2019★ 12 cited

Context agnostic trajectory prediction based on -architecture

Evangelos Psomakelis, Konstantinos Tserpes, Dimitris Zissisc +2

Predicting the next position of movable objects has been a problem for at least the last three decades, referred to as trajectory prediction. In our days, the vast amounts of data…

cs.DB2018

BUDAMAF: Data Management in Cloud Federations

Evangelos Psomakelis, Konstantinos Tserpes, Dimosthenis Anagnostopoulos +1

Data management has always been a multi-domain problem even in the simplest cases. It involves, quality of service, security, resource management, cost management, incident identif…

cs.IR2017★ 5 cited

Efficient Context Management and Personalized User Recommendations in a Smart Social TV environment

Fotis Aisopos, Angelos Valsamis, Alexandros Psychas +2

With the emergence of Smart TV and related interconnected devices, second screen solutions have rapidly appeared to provide more content for end-users and enrich their TV experienc…

cs.MM2017

Second Screen User Profiling and Multi-level Smart Recommendations in the context of Social TVs

Angelos Valsamis, Alexandros Psychas, Fotis Aisopos +2

In the context of Social TV, the increasing popularity of first and second screen users, interacting and posting content online, illustrates new business opportunities and related…

cs.LG2016★ 76 cited

Employing traditional machine learning algorithms for big data streams analysis: the case of object trajectory prediction

Angelos Valsamis, Konstantinos Tserpes, Dimitrios Zissis +2

In this paper, we model the trajectory of sea vessels and provide a service that predicts in near-real time the position of any given vessel in 4', 10', 20' and 40' time intervals.…

cs.SE2015

SocIoS API: A data aggregator for accessing user generated content from online social networks

Magdalini Kardara, Vasilis Kalogirou, Athanasios Papaoikonomou +2

Following the boost in popularity of online social networks, both enterprises and researchers looked for ways to access the social dynamics information and user generated content r…

cs.CL2015

Comparing methods for Twitter Sentiment Analysis

Evangelos Psomakelis, Konstantinos Tserpes, Dimosthenis Anagnostopoulos +1

This work extends the set of works which deal with the popular problem of sentiment analysis in Twitter. It investigates the most popular document ("tweet") representation methods…