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John Violos
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2020 – today
- 2025
- [j16]Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis:
Feature Bagging with Nested Rotations (FBNR) for anomaly detection in multivariate time series. Future Gener. Comput. Syst. 163: 107545 (2025) - [j15]Michail Kinnas, John Violos, Ioannis Kompatsiaris, Symeon Papadopoulos:
Reducing inference energy consumption using dual complementary CNNs. Future Gener. Comput. Syst. 165: 107606 (2025) - [j14]Panagis Sarantos, John Violos, Aris Leivadeas:
Enabling semi-supervised learning in intrusion detection systems. J. Parallel Distributed Comput. 196: 105010 (2025) - 2024
- [j13]Athanasios Bimpas, John Violos, Aris Leivadeas, Iraklis Varlamis:
Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges. Comput. Networks 239: 110156 (2024) - [j12]Fotios Voutsas, John Violos, Aris Leivadeas:
Mitigating Alert Fatigue in Cloud Monitoring Systems: A Machine Learning Perspective. Comput. Networks 250: 110543 (2024) - [j11]Stylianos Tsanakas, Aroosa Hameed, John Violos, Aris Leivadeas:
A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means. Future Gener. Comput. Syst. 154: 45-58 (2024) - [j10]Angelos-Christos Maroudis, Theodoros Theodoropoulos, John Violos, Aris Leivadeas, Konstantinos Tserpes:
Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing. IEEE Trans. Netw. Serv. Manag. 21(1): 605-620 (2024) - [c31]John Violos, Symeon Papadopoulos, Ioannis Kompatsiaris:
Towards Optimal Trade-Offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge. EUSIPCO 2024: 1896-1900 - [c30]Theodoros Theodoropoulos, John Violos, Antonios Makris, Konstantinos Tserpes:
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. ICC Workshops 2024: 365-370 - [i4]Theodoros Theodoropoulos, John Violos, Antonios Makris, Konstantinos Tserpes:
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. CoRR abs/2407.00015 (2024) - [i3]John Violos, Symeon Papadopoulos, Ioannis Kompatsiaris:
Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge. CoRR abs/2407.12808 (2024) - 2023
- [j9]Yosra Njah, Aris Leivadeas, John Violos, Matthias Falkner:
Toward Intent-Based Network Automation for Smart Environments: A Healthcare 4.0 Use Case. IEEE Access 11: 136565-136576 (2023) - [j8]Theodoros Theodoropoulos, Antonios Makris, Ioannis Kontopoulos, John Violos, Przemyslaw Tarkowski, Zbyszek Ledwon, Patrizio Dazzi, Konstantinos Tserpes:
Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study. Int. J. Inf. Manag. Data Insights 3(1): 100158 (2023) - [j7]Georgios Stavropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas:
Enabling Artificial Intelligent Virtual Sensors in an IoT Environment. Sensors 23(3): 1328 (2023) - [c29]Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis:
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques. BigDataService 2023: 1-8 - [c28]Athanasios Chourlias, Theodoros Theodoropoulos, John Violos, Aris Leivadeas, Konstantinos Tserpes, Christos-Kyprianos Zalachoris:
A Brief Review of Population-based Methods for Task Offloading in Cloud-to-Edge Continuum. CloudNet 2023: 448-453 - [c27]Theodoros Theodoropoulos, Dimitrios Kafetzis, John Violos, Antonios Makris, Konstantinos Tserpes:
Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing. FRAME@HPDC 2023: 7-11 - [c26]Georgios Anagnostopoulos, Georgios Stavropoulos, John Violos, Aris Leivadeas, Iraklis Varlamis:
Enhancing Virtual Sensors to deal with Missing Values and Low Sampling Rates. MobileCloud 2023: 39-44 - [c25]Fotios Voutsas, John Violos, Aris Leivadeas:
A Fault Detection Mechanism for Database Management Systems on Mobile Edge Computing. MobileCloud 2023: 45-50 - [i2]Theodoros Theodoropoulos, John Violos, Stylianos Tsanakas, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou:
Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction. CoRR abs/2302.05336 (2023) - [i1]Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis:
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques. CoRR abs/2308.03171 (2023) - 2022
- [j6]Aroosa Hameed, John Violos, Aris Leivadeas:
A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario. IEEE Access 10: 21193-21210 (2022) - [j5]John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou:
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network. Comput. Networks 217: 109339 (2022) - [j4]Aroosa Hameed, John Violos, Aris Leivadeas, Nina Santi, Rémy Grünblatt, Nathalie Mitton:
Toward QoS Prediction Based on Temporal Transformers for IoT Applications. IEEE Trans. Netw. Serv. Manag. 19(4): 4010-4027 (2022) - [c24]Theodoros Theodoropoulos, Antonios Makris, John Violos, Konstantinos Tserpes:
An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures. FRAME@HPDC 2022: 19-24 - [c23]Konstantina Karathanasopoulou, Angelos-Christos Maroudis, George Dimitrakopoulos, Elias Panagiotopoulos, John Violos:
Multi-Level Cognitive, Risk-Aware Reconfiguration of the Level of Autonomy in Highly Automated Vehicles. IECON 2022: 1-6 - [c22]Faïçal Sawadogo, John Violos, Aroosa Hameed, Aris Leivadeas:
An Unsupervised Machine Learning Approach for IoT Device Categorization. MeditCom 2022: 25-30 - 2021
- [j3]Firdose Saeik, Marios Avgeris, Dimitrios Spatharakis, Nina Santi, Dimitrios Dechouniotis, John Violos, Aris Leivadeas, Nikolaos Athanasopoulos, Nathalie Mitton, Symeon Papavassiliou:
Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions. Comput. Networks 195: 108177 (2021) - [c21]Theodoros Theodoropoulos, Angelos-Christos Maroudis, John Violos, Konstantinos Tserpes:
An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction. BigDataService 2021: 33-40 - [c20]Ioannis Korontanis, Konstantinos Tserpes, Maria Pateraki, Lorenzo Blasi, John Violos, Ferran Diego, Eduard Marin, Nicolas Kourtellis, Massimo Coppola, Emanuele Carlini, Zbyszek Ledwon, Przemyslaw Tarkowski, Thomas Loven, Yago González Rozas, Mike Kentros, Michael Dodis, Patrizio Dazzi:
Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision. FRAME@HPDC 2021: 9-14 - [c19]John Violos, Stylianos Tsanakas, Theodoros Theodoropoulos, Aris Leivadeas, Konstantinos Tserpes, Theodora A. Varvarigou:
Hypertuming GRU Neural Networks for Edge Resource Usage Prediction. ISCC 2021: 1-8 - [c18]Aroosa Hameed, John Violos, Nina Santi, Aris Leivadeas, Nathalie Mitton:
A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2021: 29-36 - [c17]Firdose Saeik, John Violos, Aris Leivadeas, Marios Avgeris, Dimitrios Spatharakis, Dimitrios Dechouniotis:
User Association and Behavioral Characterization during Task Offloading at the Edge. MeditCom 2021: 70-75 - [c16]Stylianos Tsanakas, Aroosa Hameed, John Violos, Aris Leivadeas:
An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction. MobiWac 2021: 25-32 - [c15]Nina Santi, Rémy Grünblatt, Brandon Foubert, Aroosa Hameed, John Violos, Aris Leivadeas, Nathalie Mitton:
Automated and Reproducible Application Traces Generation for IoT Applications. Q2SWinet 2021: 17-24 - [c14]Iraklis Varlamis, Christos Sardianos, Vania Bogorny, Luis Otávio Alvares, Jônata Tyska Carvalho, Chiara Renso, Raffaele Perego, John Violos:
A novel similarity measure for multiple aspect trajectory clustering. SAC 2021: 551-558 - [c13]John Violos, Tita Pagoulatou, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou:
Predicting Resource Usage in Edge Computing Infrastructures with CNN and a Hybrid Bayesian Particle Swarm Hyper-parameter Optimization Model. SAI (2) 2021: 562-580 - 2020
- [j2]Alexandros Psychas, John Violos, Fotis Aisopos, Athanasia Evangelinou, George Kousiouris, Ioannis Bouras, Theodora A. Varvarigou, G. Xidas, Dimitrios Charilas, Yiannis Stavroulas:
Cloud toolkit for Provider assessment, optimized Application Cloudification and deployment on IaaS. Future Gener. Comput. Syst. 109: 657-667 (2020) - [c12]John Violos, Evangelos Psomakelis, Dimitrios Danopoulos, Stylianos Tsanakas, Theodora A. Varvarigou:
Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge. GECON 2020: 67-74 - [c11]John Violos, Stylianos Tsanakas, Maro Androutsopoulou, Georgios Palaiokrassas, Theodora A. Varvarigou:
Next Position Prediction using LSTM Neural Networks. SETN 2020: 232-240
2010 – 2019
- 2019
- [c10]John Violos, Sotiris Pelekis, Anastasis Berdelis, Stylianos Tsanakas, Konstantinos Tserpes, Theodora A. Varvarigou:
Predicting Visitor Distribution for Large Events in Smart Cities. BigComp 2019: 1-8 - [c9]Ioannis Bouras, Fotis Aisopos, John Violos, George Kousiouris, Alexandros Psychas, Theodora A. Varvarigou, Gerasimos Xydas, Dimitrios Charilas, Yiannis Stavroulas:
Mapping of Quality of Service Requirements to Resource Demands for IaaS. CLOSER 2019: 263-270 - [c8]John Violos, Evangelos Psomakelis, Konstantinos Tserpes, Fotis Aisopos, Theodora A. Varvarigou:
Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization. COINS 2019: 7-12 - 2018
- [j1]John Violos, Konstantinos Tserpes, Iraklis Varlamis, Theodora A. Varvarigou:
Text Classification Using the N-Gram Graph Representation Model Over High Frequency Data Streams. Frontiers Appl. Math. Stat. 4: 41 (2018) - 2017
- [c7]Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Konstantinos Tserpes, John Violos, Young-Woo Jung, Ganis Zulfa Santoso, Jörn Altmann, Jamie Marshall, Enric Pages, Myoungjin Kim:
BASMATI: Cloud Brokerage Across Borders for Mobile Users and Applications. ESOCC Workshops 2017: 181-186 - [c6]Jörn Altmann, Baseem Al-athwari, Emanuele Carlini, Massimo Coppola, Patrizio Dazzi, Ana Juan Ferrer, Netsanet Haile, Young-Woo Jung, Jamie Marshall, Enric Pages, Evangelos Psomakelis, Ganis Zulfa Santoso, Konstantinos Tserpes, John Violos:
BASMATI: An Architecture for Managing Cloud and Edge Resources for Mobile Users. GECON 2017: 56-66 - [c5]John Violos, Vinicius Monteiro de Lira, Patrizio Dazzi, Jörn Altmann, Baseem Al-athwari, Antonia Schwichtenberg, Young-Woo Jung, Theodora A. Varvarigou, Konstantinos Tserpes:
User Behavior and Application Modeling in Decentralized Edge Cloud Infrastructures. GECON 2017: 193-203 - [c4]Ganis Zulfa Santoso, Young-Woo Jung, Seong-Woo Seok, Emanuele Carlini, Patrizio Dazzi, Jörn Altmann, John Violos, Jamie Marshall:
Dynamic Resource Selection in Cloud Service Broker. HPCS 2017: 233-235 - 2016
- [c3]Fotis Aisopos, Dimitrios Tzannetos, John Violos, Theodora A. Varvarigou:
Using N-Gram Graphs for Sentiment Analysis: An Extended Study on Twitter. BigDataService 2016: 44-51 - [c2]John Violos, Konstantinos Tserpes, Evangelos Psomakelis, Konstantinos Psychas, Theodora A. Varvarigou:
Sentiment Analysis using Word-Graphs. WIMS 2016: 22:1-22:9 - 2014
- [c1]John Violos, Konstantinos Tserpes, Athanasios Papaoikonomou, Magdalini Kardara, Theodora A. Varvarigou:
Clustering Documents using the 3-Gram Graph Representation Model. Panhellenic Conference on Informatics 2014: 29:1-29:5
Coauthor Index
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