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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
Enabling semi-supervised learning in intrusion detection systems. J. Parallel Distributed Comput. 196: 105010 (2025) - 2024
- [j13]Athanasios Bimpas
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
Mitigating Alert Fatigue in Cloud Monitoring Systems: A Machine Learning Perspective. Comput. Networks 250: 110543 (2024) - [j11]Stylianos Tsanakas
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
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
Toward Intent-Based Network Automation for Smart Environments: A Healthcare 4.0 Use Case. IEEE Access 11: 136565-136576 (2023) - [j8]Theodoros Theodoropoulos
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
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
Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing. FRAME@HPDC 2023: 7-11 - [c26]Georgios Anagnostopoulos
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
Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network. Comput. Networks 217: 109339 (2022) - [j4]Aroosa Hameed, John Violos
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
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
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
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
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
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
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
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
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
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
Next Position Prediction using LSTM Neural Networks. SETN 2020: 232-240
2010 – 2019
- 2019
- [c10]John Violos, Sotiris Pelekis
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
Mapping of Quality of Service Requirements to Resource Demands for IaaS. CLOSER 2019: 263-270 - [c8]John Violos, Evangelos Psomakelis
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
BASMATI: Cloud Brokerage Across Borders for Mobile Users and Applications. ESOCC Workshops 2017: 181-186 - [c6]Jörn Altmann
BASMATI: An Architecture for Managing Cloud and Edge Resources for Mobile Users. GECON 2017: 56-66 - [c5]John Violos, Vinicius Monteiro de Lira
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
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
Clustering Documents using the 3-Gram Graph Representation Model. Panhellenic Conference on Informatics 2014: 29:1-29:5
Coauthor Index
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