Clustering Documents using the 3-Gram Graph Representation Model. - John Violos; Konstantinos Tserpes; Athanasios Papaoikonomou; Magdalini Kardara; Theodora A. Varvarigou (Panhellenic Conference on Informatics, 2014)

Using N-Gram Graphs for Sentiment Analysis: An Extended Study on Twitter. - Fotis Aisopos; Dimitrios Tzannetos; John Violos; Theodora A. Varvarigou (BigDataService, 2016)

Sentiment Analysis using Word-Graphs. - John Violos; Konstantinos Tserpes; Evangelos Psomakelis; Konstantinos Psychas; Theodora A. Varvarigou (WIMS, 2016)

BASMATI: Cloud Brokerage Across Borders for Mobile Users and Applications. - Emanuele Carlini; Massimo Coppola; Patrizio Dazzi; Konstantinos Tserpes; John Violos; Young-Woo Jung; Ganis Zulfa Santoso; Jörn Altmann; Jamie Marshall; Enric Pages; Myoungjin Kim (ESOCC Workshops, 2017)

BASMATI: An Architecture for Managing Cloud and Edge Resources for Mobile Users. - 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; et al. (GECON, 2017)

User Behavior and Application Modeling in Decentralized Edge Cloud Infrastructures. - John Violos; Vinicius Monteiro de Lira; Patrizio Dazzi; Jörn Altmann; Baseem Al-athwari; Antonia Schwichtenberg; Young-Woo Jung; Theodora A. Varvarigou; Konstantinos Tserpes (GECON, 2017)

Dynamic Resource Selection in Cloud Service Broker. - Ganis Zulfa Santoso; Young-Woo Jung; Seong-Woo Seok; Emanuele Carlini; Patrizio Dazzi; Jörn Altmann; John Violos; Jamie Marshall (HPCS, 2017)

Text Classification Using the N-Gram Graph Representation Model Over High Frequency Data Streams. - John Violos; Konstantinos Tserpes; Iraklis Varlamis; Theodora A. Varvarigou (Frontiers Appl. Math. Stat., 2018)

Predicting Visitor Distribution for Large Events in Smart Cities. - John Violos; Sotiris Pelekis; Anastasis Berdelis; Stylianos Tsanakas; Konstantinos Tserpes; Theodora A. Varvarigou (BigComp, 2019)

Mapping of Quality of Service Requirements to Resource Demands for IaaS. - Ioannis Bouras; Fotis Aisopos; John Violos; George Kousiouris; Alexandros Psychas; Theodora A. Varvarigou; Gerasimos Xydas; Dimitrios Charilas; Yiannis Stavroulas (CLOSER, 2019)

Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization. - John Violos; Evangelos Psomakelis; Konstantinos Tserpes; Fotis Aisopos; Theodora A. Varvarigou (COINS, 2019)

Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge. - John Violos; Evangelos Psomakelis; Dimitrios Danopoulos; Stylianos Tsanakas; Theodora A. Varvarigou (GECON, 2020)

Next Position Prediction using LSTM Neural Networks. - John Violos; Stylianos Tsanakas; Maro Androutsopoulou; Georgios Palaiokrassas; Theodora A. Varvarigou (SETN, 2020)

Cloud toolkit for Provider assessment, optimized Application Cloudification and deployment on IaaS. - Alexandros Psychas; John Violos; Fotis Aisopos; Athanasia Evangelinou; George Kousiouris; Ioannis Bouras; Theodora A. Varvarigou; G. Xidas; Dimitrios Charilas; Yiannis Stavroulas (Future Gener. Comput. Syst., 2020)

An Encoder-Decoder Deep Learning Approach for Multistep Service Traffic Prediction. - Theodoros Theodoropoulos; Angelos-Christos Maroudis; John Violos; Konstantinos Tserpes (BigDataService, 2021)

Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision. - Ioannis Korontanis; Konstantinos Tserpes; Maria Pateraki; Lorenzo Blasi; John Violos; Ferran Diego; Eduard Marin; Nicolas Kourtellis; Massimo Coppola; Emanuele Carlini; Zbyszek Ledwon; Przemyslaw Tarkowski; et al. (FRAME@HPDC, 2021)

Hypertuming GRU Neural Networks for Edge Resource Usage Prediction. - John Violos; Stylianos Tsanakas; Theodoros Theodoropoulos; Aris Leivadeas; Konstantinos Tserpes; Theodora A. Varvarigou (ISCC, 2021)

A Machine Learning Regression Approach for Throughput Estimation in an IoT Environment. - Aroosa Hameed; John Violos; Nina Santi; Aris Leivadeas; Nathalie Mitton (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2021)

User Association and Behavioral Characterization during Task Offloading at the Edge. - Firdose Saeik; John Violos; Aris Leivadeas; Marios Avgeris; Dimitrios Spatharakis; Dimitrios Dechouniotis (MeditCom, 2021)

An Innovative Neuro-Genetic Algorithm and Geometric Loss Function for Mobility Prediction. - Stylianos Tsanakas; Aroosa Hameed; John Violos; Aris Leivadeas (MobiWac, 2021)

Automated and Reproducible Application Traces Generation for IoT Applications. - Nina Santi; Rémy Grünblatt; Brandon Foubert; Aroosa Hameed; John Violos; Aris Leivadeas; Nathalie Mitton (Q2SWinet, 2021)

A novel similarity measure for multiple aspect trajectory clustering. - Iraklis Varlamis; Christos Sardianos; Vania Bogorny; Luis Otávio Alvares; Jônata Tyska Carvalho; Chiara Renso; Raffaele Perego 001; John Violos (SAC, 2021)

Predicting Resource Usage in Edge Computing Infrastructures with CNN and a Hybrid Bayesian Particle Swarm Hyper-parameter Optimization Model. - John Violos; Tita Pagoulatou; Stylianos Tsanakas; Konstantinos Tserpes; Theodora A. Varvarigou (SAI (2), 2021)

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions. - Firdose Saeik; Marios Avgeris; Dimitrios Spatharakis; Nina Santi; Dimitrios Dechouniotis; John Violos; Aris Leivadeas; Nikolaos Athanasopoulos; Nathalie Mitton; Symeon Papavassiliou (Comput. Networks, 2021)

An Automated Pipeline for Advanced Fault Tolerance in Edge Computing Infrastructures. - Theodoros Theodoropoulos; Antonios Makris; John Violos; Konstantinos Tserpes (FRAME@HPDC, 2022)

Multi-Level Cognitive, Risk-Aware Reconfiguration of the Level of Autonomy in Highly Automated Vehicles. - Konstantina Karathanasopoulou; Angelos-Christos Maroudis; George Dimitrakopoulos 001; Elias Panagiotopoulos; John Violos (IECON, 2022)

An Unsupervised Machine Learning Approach for IoT Device Categorization. - Faïçal Sawadogo; John Violos; Aroosa Hameed; Aris Leivadeas (MeditCom, 2022)

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario. - Aroosa Hameed; John Violos; Aris Leivadeas (IEEE Access, 2022)

Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network. - John Violos; Stylianos Tsanakas; Theodoros Theodoropoulos; Aris Leivadeas; Konstantinos Tserpes; Theodora A. Varvarigou (Comput. Networks, 2022)

Toward QoS Prediction Based on Temporal Transformers for IoT Applications. - Aroosa Hameed; John Violos; Aris Leivadeas; Nina Santi; Rémy Grünblatt; Nathalie Mitton (IEEE Trans. Netw. Serv. Manag., 2022)

Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques. - Anastasios Iliopoulos; John Violos; Christos Diou; Iraklis Varlamis (BigDataService, 2023)

A Brief Review of Population-based Methods for Task Offloading in Cloud-to-Edge Continuum. - Athanasios Chourlias; Theodoros Theodoropoulos; John Violos; Aris Leivadeas; Konstantinos Tserpes; Christos-Kyprianos Zalachoris (CloudNet, 2023)

Multi-Agent Deep Reinforcement Learning for Weighted Multi-Path Routing. - Theodoros Theodoropoulos; Dimitrios Kafetzis; John Violos; Antonios Makris; Konstantinos Tserpes (FRAME@HPDC, 2023)

Enhancing Virtual Sensors to deal with Missing Values and Low Sampling Rates. - Georgios Anagnostopoulos; Georgios Stavropoulos; John Violos; Aris Leivadeas; Iraklis Varlamis (MobileCloud, 2023)

A Fault Detection Mechanism for Database Management Systems on Mobile Edge Computing. - Fotios Voutsas; John Violos; Aris Leivadeas (MobileCloud, 2023)

Toward Intent-Based Network Automation for Smart Environments: A Healthcare 4.0 Use Case. - Yosra Njah; Aris Leivadeas; John Violos; Matthias Falkner (IEEE Access, 2023)

Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction. - Theodoros Theodoropoulos; John Violos; Stylianos Tsanakas; Aris Leivadeas; Konstantinos Tserpes; Theodora A. Varvarigou (CoRR, 2023)

Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study. - Theodoros Theodoropoulos; Antonios Makris; Ioannis Kontopoulos; John Violos; Przemyslaw Tarkowski; Zbyszek Ledwon; Patrizio Dazzi; Konstantinos Tserpes (Int. J. Inf. Manag. Data Insights, 2023)

Enabling Artificial Intelligent Virtual Sensors in an IoT Environment. - Georgios Stavropoulos; John Violos; Stylianos Tsanakas; Aris Leivadeas (Sensors, 2023)

Towards Optimal Trade-Offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge. - John Violos; Symeon Papadopoulos; Ioannis Kompatsiaris (EUSIPCO, 2024)

A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services. - Theodoros Theodoropoulos; John Violos; Antonios Makris; Konstantinos Tserpes (ICC Workshops, 2024)

An Incremental Learning Assurance Approach for Intent Based Networking Enabled Data Centers. - Steve Lévesque; Xiaoang Zheng; John Violos; Aris Leivadeas; Matthias Falkner (IISA, 2024)

Leveraging Light Intensity Structural Breaks for IoT Context-Awareness. - John Violos; Konstantinos Stavrianos; Fotios Voutsas; Aris Leivadeas (WF-IoT, 2024)

Mitigating Alert Fatigue in Cloud Monitoring Systems: A Machine Learning Perspective. - Fotios Voutsas; John Violos; Aris Leivadeas (Comput. Networks, 2024)

A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means. - Stylianos Tsanakas; Aroosa Hameed; John Violos; Aris Leivadeas (Future Gener. Comput. Syst., 2024)

Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges. - Athanasios Bimpas; John Violos; Aris Leivadeas; Iraklis Varlamis (Comput. Networks, 2024)

Leveraging Graph Neural Networks for SLA Violation Prediction in Cloud Computing. - Angelos-Christos Maroudis; Theodoros Theodoropoulos; John Violos; Aris Leivadeas; Konstantinos Tserpes (IEEE Trans. Netw. Serv. Manag., 2024)

A Brief Review for Compression and Transfer Learning Techniques in Deepfake Detection. - Andreas Karathanasis; John Violos; Ioannis Kompatsiaris; Symeon Papadopoulos (DSP, 2025)

Selecting Images With Entropy for Frugal Knowledge Distillation. - Michail Kinnas; John Violos; Nikolaos Ioannis Karapiperis; Ioannis Kompatsiaris (IEEE Access, 2025)

Feature Bagging with Nested Rotations (FBNR) for anomaly detection in multivariate time series. - Anastasios Iliopoulos; John Violos; Christos Diou; Iraklis Varlamis (Future Gener. Comput. Syst., 2025)

Reducing inference energy consumption using dual complementary CNNs. - Michail Kinnas; John Violos; Ioannis Kompatsiaris; Symeon Papadopoulos (Future Gener. Comput. Syst., 2025)

Virtual sensors for smart farming: An IoT- and AI-enabled approach. - Athanasios Chourlias; John Violos; Aris Leivadeas (Internet Things, 2025)

Enabling semi-supervised learning in intrusion detection systems. - Panagis Sarantos; John Violos; Aris Leivadeas (J. Parallel Distributed Comput., 2025)

FeD-TST: Federated Temporal Sparse Transformers for QoS Prediction in Dynamic IoT Networks. - Aroosa Hameed; John Violos; Nina Santi; Aris Leivadeas; Nathalie Mitton (IEEE Trans. Netw. Serv. Manag., 2025)

Frugal Machine Learning for Energy-efficient, and Resource-aware Artificial Intelligence. - John Violos; Konstantina-Christina Diamanti; Ioannis Kompatsiaris; Symeon Papadopoulos (CoRR, 2025)