SQL Query Optimization in Distributed NoSQL Databases for Cloud-Based Applications. - Aristeidis Karras; Christos N. Karras; Antonios Pervanas; Spyros Sioutas; Christos D. Zaroliagis (ALGOCLOUD, 2022)

A Hybrid Ensemble Deep Learning Approach for Emotion Classification. - Christos N. Karras; Aristeidis Karras; Dimitrios Tsolis; Markos Avlonitis; Spyros Sioutas (IEEE Big Data, 2022)

Neuro-Fuzzy Employee Ranking System in the Public Sector. - Dimitrios Michalopoulos; Aristeidis Karras; Christos N. Karras; Spyros Sioutas; Konstantinos C. Giotopoulos (FSDM, 2022)

Download Speed Optimization in P2P Networks Using Decision Making and Adaptive Learning. - Aristeidis Karras; Christos N. Karras; Konstantinos C. Giotopoulos; Ioanna Giannoukou; Dimitrios Tsolis; Spyros Sioutas (ICR, 2022)

Expanding Queries with Maximum Likelihood Estimators and Language Models. - Christos N. Karras; Aristeidis Karras; Leonidas Theodorakopoulos; Ioanna Giannoukou; Spyros Sioutas (ICR, 2022)

On Autonomous Drone Navigation Using Deep Learning and an Intelligent Rainbow DQN Agent. - Andreas Karatzas; Aristeidis Karras; Christos N. Karras; Konstantinos C. Giotopoulos; Konstantinos Oikonomou; Spyros Sioutas (IDEAL, 2022)

Maximum Likelihood Estimators on MCMC Sampling Algorithms for Decision Making. - Christos N. Karras; Aristeidis Karras; Markos Avlonitis; Ioanna Giannoukou; Spyros Sioutas (AIAI (Workshops), 2022)

An Overview of MCMC Methods: From Theory to Applications. - Christos N. Karras; Aristeidis Karras; Markos Avlonitis; Spyros Sioutas (AIAI (Workshops), 2022)

SAF: A Peer to Peer IoT LoRa System for Smart Supply Chain in Agriculture. - Aristeidis Karras; Christos N. Karras; Georgios Drakopoulos; Dimitrios Tsolis; Phivos Mylonas; Spyros Sioutas (AIAI (2), 2022)

WiCHORD: A Chord Protocol Application on P2P LoRa Wireless Sensor Networks. - Christos-Panagiotis Balatsouras; Aristeidis Karras; Christos N. Karras; Dimitrios Tsolis; Spyros Sioutas (IISA, 2022)

Query Optimization in NoSQL Databases Using an Enhanced Localized R-tree Index. - Aristeidis Karras; Christos N. Karras; Dimitrios Samoladas; Konstantinos C. Giotopoulos; Spyros Sioutas (iiWAS, 2022)

A LoRa-Based Emotion Estimation Scheme for Smart Home Automated Actions Using ELMs. - Christos N. Karras; Aristeidis Karras; Georgios Drakopoulos; Dimitrios Tsolis; Phivos Mylonas; Spyros Sioutas (ISC2, 2022)

SparkReact: A Novel and User-friendly Graphical Interface for the Apache Spark MLlib Library. - Aristeidis Karras; Christos N. Karras; Agorakis Bompotas; Panagiotis Bouras; Leonidas Theodorakopoulos; Spyros Sioutas (PCI, 2022)

Tree Data Structures and Efficient Indexing Techniques for Big Data Management: A Comprehensive Study. - Dimitrios Samoladas; Christos N. Karras; Aristeidis Karras; Leonidas Theodorakopoulos; Spyros Sioutas (PCI, 2022)

Global Graph Clustering and Local Graph Exploration for Community Detection in Twitter. - Christos N. Karras; Aristeidis Karras; Ioanna Giannoukou; Konstantinos C. Giotopoulos; Dimitrios Tsolis; Spyros Sioutas (SEEDA-CECNSM, 2022)

Peer to Peer Federated Learning: Towards Decentralized Machine Learning on Edge Devices. - Aristeidis Karras; Christos N. Karras; Konstantinos C. Giotopoulos; Dimitrios Tsolis; Konstantinos Oikonomou; Spyros Sioutas (SEEDA-CECNSM, 2022)

Distributed Gibbs Sampling and LDA Modelling for Large Scale Big Data Management on PySpark. - Christos N. Karras; Aristeidis Karras; Dimitrios Tsolis; Konstantinos C. Giotopoulos; Spyros Sioutas (SEEDA-CECNSM, 2022)

An Intelligent Microprocessor Integrating TinyML in Smart Hotels for Rapid Accident Prevention. - Angelos Zacharia; Dimitris Zacharia; Aristeidis Karras; Christos N. Karras; Ioanna Giannoukou; Konstantinos C. Giotopoulos; Spyros Sioutas (SEEDA-CECNSM, 2022)

Decomposing Twitter Graphs Based On Hashtag Trajectories: Mining And Clustering Paths Over MongoDB. - Georgios Drakopoulos; Aristeidis Karras; Christos N. Karras; Konstantinos C. Giotopoulos; Phivos Mylonas; Spyros Sioutas (SETN, 2022)

Weighted Reservoir Sampling On Evolving Streams: A Sampling Algorithmic Framework For Stream Event Identification. - Christos N. Karras; Aristeidis Karras; Georgios Drakopoulos; Konstantinos Tsakalidis; Phivos Mylonas; Spyros Sioutas (SETN, 2022)

Pattern Recognition and Event Detection on IoT Data-streams. - Christos N. Karras; Aristeidis Karras; Spyros Sioutas (CoRR, 2022)

DBSOP: An Efficient Heuristic for Speedy MCMC Sampling on Polytopes. - Christos N. Karras; Aristeidis Karras (CoRR, 2022)

Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Ranking Prediction. - Aristeidis Karras; Christos N. Karras (CoRR, 2022)

TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review. - Nikolaos Schizas; Aristeidis Karras; Christos N. Karras; Spyros Sioutas (Future Internet, 2022)

Mobility-Aware Workload Distribution and Task Allocation for Mobile Edge Computing Networks. - Aristeidis Karras; Christos N. Karras; Anastasios Giannaros; Dimitrios Tsolis; Spyros Sioutas (ACR, 2023)

Decentralized Algorithms for Efficient Energy Management over Cloud-Edge Infrastructures. - Aristeidis Karras; Christos N. Karras; Ioanna Giannoukou; Konstantinos C. Giotopoulos; Dimitrios Tsolis; Ioannis Karydis; Spyros Sioutas (ALGOCLOUD, 2023)

An Adaptive, Energy-Efficient DRL-Based and MCMC-Based Caching Strategy for IoT Systems. - Aristeidis Karras; Christos N. Karras; Ioannis Karydis; Markos Avlonitis; Spyros Sioutas (ALGOCLOUD, 2023)

Algorithmic Aspects of Distributed Hash Tables on Cloud, Fog, and Edge Computing Applications: A Survey. - Aristeidis Karras; Christos N. Karras; Nikolaos Schizas; Spyros Sioutas; Christos D. Zaroliagis (ALGOCLOUD, 2023)

Edge Artificial Intelligence in Large-Scale IoT Systems, Applications, and Big Data Infrastructures. - Aristeidis Karras; Anastasios Giannaros; Christos N. Karras; Konstantinos C. Giotopoulos; Dimitrios Tsolis; Spyros Sioutas (SEEDA-CECNSM, 2023)

TinyML-based Event Detection: An Edge-Cloud Approach for Smart Agriculture over LoRa WSNs. - Aristeidis Karras; Christos N. Karras; Anastasios Giannaros; Konstantinos C. Giotopoulos; Dimitrios Tsolis; Konstantinos Oikonomou; Spyros Sioutas (SEEDA-CECNSM, 2023)

Consensus Big Data Clustering for Bayesian Mixture Models. - Christos N. Karras; Aristeidis Karras; Konstantinos C. Giotopoulos; Markos Avlonitis; Spyros Sioutas (Algorithms, 2023)

Federated Edge Intelligence and Edge Caching Mechanisms. - Aristeidis Karras; Christos N. Karras; Konstantinos C. Giotopoulos; Dimitrios Tsolis; Konstantinos Oikonomou; Spyros Sioutas (Inf., 2023)

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture. - Aristeidis Karras; Christos N. Karras; Spyros Sioutas; Christos Makris 001; George Katselis; Ioannis Hatzilygeroudis; John A. Theodorou; Dimitrios Tsolis (Inf., 2023)

EVCA Classifier: A MCMC-Based Classifier for Analyzing High-Dimensional Big Data. - Eleni Vlachou; Christos N. Karras; Aristeidis Karras; Dimitrios Tsolis; Spyros Sioutas (Inf., 2023)

Modelling and Analysis of Neuro Fuzzy Employee Ranking System in the Public Sector. - Konstantinos C. Giotopoulos; Dimitrios Michalopoulos; Aristeidis Karras; Christos N. Karras; Spyros Sioutas (Algorithms, 2023)

AutoML with Bayesian Optimizations for Big Data Management. - Aristeidis Karras; Christos N. Karras; Nikolaos Schizas; Markos Avlonitis; Spyros Sioutas (Inf., 2023)

Autonomous Vehicles: Sophisticated Attacks, Safety Issues, Challenges, Open Topics, Blockchain, and Future Directions. - Anastasios Giannaros; Aristeidis Karras; Leonidas Theodorakopoulos; Christos N. Karras; Panagiotis Kranias; Nikolaos Schizas; Gerasimos Kalogeratos; Dimitrios Tsolis (J. Cybersecur. Priv., 2023)

WiCHORD+: A Scalable, Sustainable, and P2P Chord-Based Ecosystem for Smart Agriculture Applications. - Christos-Panagiotis Balatsouras; Aristeidis Karras; Christos N. Karras; Ioannis Karydis; Spyros Sioutas (Sensors, 2023)

Advanced Optimization Techniques for Federated Learning on Non-IID Data. - Filippos Efthymiadis; Aristeidis Karras; Christos N. Karras; Spyros Sioutas (Future Internet, 2024)

Distributed Bayesian Inference for Large-Scale IoT Systems. - Eleni Vlachou; Aristeidis Karras; Christos N. Karras; Leonidas Theodorakopoulos; Constantinos Halkiopoulos; Spyros Sioutas (Big Data Cogn. Comput., 2024)

TinyML Algorithms for Big Data Management in Large-Scale IoT Systems. - Aristeidis Karras; Anastasios Giannaros; Christos N. Karras; Leonidas Theodorakopoulos; Constantinos S. Mammassis; George A. Krimpas; Spyros Sioutas (Future Internet, 2024)

Efficient Algorithms for Range Mode Queries in the Big Data Era. - Christos N. Karras; Leonidas Theodorakopoulos; Aristeidis Karras; George A. Krimpas (Inf., 2024)