John Violos

发表

Self-Attention based encoder-Decoder for multistep human density prediction

K. Tserpes, T. Theodoropoulos, Aris Leivadeas, 2022, Journal of Urban Mobility.

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario

Aris Leivadeas, John Violos, Aroosa Hameed, 2022, IEEE Access.

An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures

K. Tserpes, Antonios Makris, T. Theodoropoulos, 2022, FRAME@HPDC.

An Unsupervised Machine Learning Approach for IoT Device Categorization

Aris Leivadeas, John Violos, Aroosa Hameed, 2022, 2022 IEEE International Mediterranean Conference on Communications and Networking (MeditCom).

Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network

K. Tserpes, T. Varvarigou, T. Theodoropoulos, 2022, Comput. Networks.

Enabling Artificial Intelligent Virtual Sensors in an IoT Environment

G. Stavropoulos, Aris Leivadeas, John Violos, 2023, Sensors.

Sentiment Analysis using Word-Graphs

Konstantinos Tserpes, John Violos, Theodora A. Varvarigou, 2016, WIMS.

THE EUROPEAN CODE OF CONDUCT ON CLOUD SERVICES AND DATA PORTABILITY: WHAT CHANGES IN THE CLOUD ECOSYSTEM

Theodora Varvarigou, John Violos, Christos Kontzinos, 2020, Proceedings of the 13 th IADIS International Conference Information Systems 2020.

Cloud toolkit for Provider assessment, optimized Application Cloudification and deployment on IaaS

Theodora Varvarigou, Alexandros Psychas, John Violos, 2020, Future Gener. Comput. Syst..

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

Symeon Papavassiliou, Nathalie Mitton, John Violos, 2021, Comput. Networks.

Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study

K. Tserpes, I. Kontopoulos, Antonios Makris, 2023, Int. J. Inf. Manag. Data Insights.

Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction

K. Tserpes, T. Varvarigou, T. Theodoropoulos, 2023, ArXiv.

Hypertuming GRU Neural Networks for Edge Resource Usage Prediction

Konstantinos Tserpes, John Violos, Theodora A. Varvarigou, 2021, 2021 IEEE Symposium on Computers and Communications (ISCC).

An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction

Konstantinos Tserpes, John Violos, Theodoros Theodoropoulos, 2021, 2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService).

Predicting Resource Usage in Edge Computing Infrastructures with CNN and a Hybrid Bayesian Particle Swarm Hyper-parameter Optimization Model

Theodora Varvarigou, Konstantinos Tserpes, John Violos, 2021, SAI.

Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge

John Violos, Theodora A. Varvarigou, Evangelos Psomakelis, 2020, GECON.

A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment

N. Mitton, Aris Leivadeas, John Violos, 2021, 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics).

Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization

Konstantinos Tserpes, John Violos, Theodora A. Varvarigou, 2019, COINS.

Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision

Yago González Rozas, M. Pateraki, K. Tserpes, 2020, FRAME@HPDC.

Toward QoS Prediction Based on Temporal Transformers for IoT Applications

N. Mitton, Aris Leivadeas, John Violos, 2022, IEEE Transactions on Network and Service Management.

Text Classification Using the N-Gram Graph Representation Model Over High Frequency Data Streams

Theodora Varvarigou, Iraklis Varlamis, Konstantinos Tserpes, 2018, Front. Appl. Math. Stat..

Clustering Documents using the 3-Gram Graph Representation Model

Konstantinos Tserpes, John Violos, Theodora A. Varvarigou, 2014, Panhellenic Conference on Informatics.

Using N-Gram Graphs for Sentiment Analysis: An Extended Study on Twitter

John Violos, Theodora A. Varvarigou, Fotis Aisopos, 2016, 2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService).

Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques

Iraklis Varlamis, A. Iliopoulos, Christos Diou, 2023, 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService).

BASMATI: An Architecture for Managing Cloud and Edge Resources for Mobile Users

Netsanet Haile, Jörn Altmann, Patrizio Dazzi, 2017, GECON.

An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction

Aris Leivadeas, John Violos, Aroosa Hameed, 2021, MobiWac.

Multi-Level Cognitive, Risk-Aware Reconfiguration of the Level of Autonomy in Highly Automated Vehicles

G. Dimitrakopoulos, E. Panagiotopoulos, John Violos, 2022, IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society.

Filtering Alerts on Cloud Monitoring Systems

Aris Leivadeas, John Violos, Fotios Voutsas, 2023, 2023 IEEE International Conference on Joint Cloud Computing (JCC).

Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction

T. Varvarigou, T. Theodoropoulos, Aris Leivadeas, 2022, ITU Journal on Future and Evolving Technologies.

A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means

Aris Leivadeas, John Violos, Aroosa Hameed, 2024, Future Generation Computer Systems.

Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges

Iraklis Varlamis, Aris Leivadeas, John Violos, 2024, Comput. Networks.