Kostas Kolomvatsos

Orcid: 0000-0002-9442-3340

According to our database1, Kostas Kolomvatsos authored at least 151 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data and resource aware incremental ML training in support of pervasive applications.
Computing, November, 2024

Homogeneous transfer learning for supporting pervasive edge applications.
Evol. Syst., August, 2024

Data management and selectivity in collaborative pervasive edge computing.
Computing, August, 2024

An intelligent sequential fraud detection model based on deep learning.
J. Supercomput., July, 2024

Cluster based similarity extraction upon distributed datasets.
Clust. Comput., June, 2024

Integrated Portable and Stationary Health Impact-Monitoring System for Firefighters.
Sensors, April, 2024

Node and relevant data selection in distributed predictive analytics: A query-centric approach.
J. Netw. Comput. Appl., 2024

Drift-based task management in support of pervasive edge applications.
Internet Things, 2024

Autonomous proactive data management in support of pervasive edge applications.
Future Gener. Comput. Syst., 2024

BundleMoCap++: Efficient, robust and smooth motion capture from sparse multiview videos.
Comput. Vis. Image Underst., 2024

An Ensemble Scheme for Proactive Dominant Data Migration of Pervasive Tasks at the Edge.
CoRR, 2024

Resilient edge predictive analytics by enhancing local models.
Open Comput. Sci., 2024

Task offloading in mobile edge computing using cost-based discounted optimal stopping.
Open Comput. Sci., 2024

Real-Time Monitoring of Wildfire Pollutants for Health Impact Assessment.
Proceedings of the IGARSS 2024, 2024

An Electromigration-Aware Wire Sizing Methodology via Particle Swarm Optimization.
Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

Neural Networks for Assessing Reading Disabilities in School-Aged Children.
Proceedings of the IEEE Global Engineering Education Conference, 2024

2023
An Inference Mechanism for Proactive Service Migration at the Edge.
IEEE Trans. Netw. Serv. Manag., December, 2023

Correlation adaptive task scheduling.
Computing, November, 2023

Resilient edge machine learning in smart city environments.
J. Smart Cities Soc., 2023

A Pervasive Framework for Human Detection and Tracking.
CoRR, 2023

Maintenance of Model Resilience in Distributed Edge Learning Environments.
Proceedings of the 19th International Conference on Intelligent Environments, 2023

Query-driven Edge Node Selection in Distributed Learning Environments.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

Noise-in, Bias-out: Balanced and Real-time MoCap Solving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Proactive Statistical Model Supporting Services and Tasks Management in Pervasive Applications.
IEEE Trans. Netw. Serv. Manag., 2022

Proactive & Time-Optimized Data Synopsis Management at the Edge.
IEEE Trans. Knowl. Data Eng., 2022

Credit card fraud detection using a deep learning multistage model.
J. Supercomput., 2022

Data-Driven Type-2 Fuzzy Sets for Tasks Management at the Edge.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Design Space Exploration of a Sparse MobileNetV2 Using High-Level Synthesis and Sparse Matrix Techniques on FPGAs.
Sensors, 2022

An Uncertainty-Driven Proactive Self-Healing Model for Pervasive Applications.
Network, 2022

Time-optimized sequential decision making for service management in smart city environments.
J. Smart Cities Soc., 2022

Knowledge reuse in edge computing environments.
J. Netw. Comput. Appl., 2022

An Ensemble Model for Data Imputation to Support Pervasive Applications.
Int. J. Artif. Intell. Tools, 2022

A proactive inference scheme for data-aware decision making in support of pervasive applications.
Future Gener. Comput. Syst., 2022

Local & Federated Learning at the network edge for efficient predictive analytics.
Future Gener. Comput. Syst., 2022

Intelligent tasks allocation at the edge based on machine learning and bio-inspired algorithms.
Evol. Syst., 2022

On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh.
ACM Comput. Surv., 2022

A Proactive Uncertainty driven Model for Tasks Offloading.
CoRR, 2022

Monitoring and Proactive Management of QoS Levels in Pervasive Applications.
CoRR, 2022

Predictive Model Resilience in Edge Computing.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Workshop: Converge of Edge Intelligence in IoT (EdgeA-IoT 2022).
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Towards Scalable and Real-time Markerless Motion Capture.
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

On the Innovative Management of Remote Robotic Experimentation.
Proceedings of the ROBOT 2022: Fifth Iberian Robotics Conference, 2022

Query Driven Data Subspace Mapping.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

On the Reusability of Machine Learning Models in Edge Computing: A Statistical Learning Approach.
Proceedings of the Future Technologies Conference, 2022

A QoS-aware, Proactive Tasks Offloading Model for Pervasive Applications.
Proceedings of the 9th International Conference on Future Internet of Things and Cloud, 2022

Data-Driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach.
Proceedings of the 9th International Conference on Future Internet of Things and Cloud, 2022

2021
Fuzzy Trust Modelling for Pervasive Computing Applications.
J. Data Intell., 2021

Proactive tasks management for Pervasive Computing Applications.
J. Netw. Comput. Appl., 2021

Proactive, uncertainty-driven queries management at the edge.
Future Gener. Comput. Syst., 2021

Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics.
CoRR, 2021

A Proactive Management Scheme for Data Synopses at the Edge.
CoRR, 2021

A Soft Method for Outliers Detection at the Edge of the Network.
CoRR, 2021

On the Use of a Sequential Deep Learning Scheme for Financial Fraud Detection.
Proceedings of the Intelligent Computing, 2021

A Deep Learning Model for Data Synopses Management in Pervasive Computing Applications.
Proceedings of the Intelligent Computing, 2021

Bin Packing Heuristics for the Multiple Workflow Scheduling Problem.
Proceedings of the PCI 2021: 25th Pan-Hellenic Conference on Informatics, Volos, Greece, November 26, 2021

Fast Heuristics for Mixed Fleet Capacitated Multiple TSP with Applications to Location Based Games and Drone Assisted Transportation.
Proceedings of the PCI 2021: 25th Pan-Hellenic Conference on Informatics, Volos, Greece, November 26, 2021

A Probabilistic Batch Oriented Proactive Workflow Management.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Proactive, Correlation Based Anomaly Detection at the Edge.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

2020
Predictive Intelligence in Analytics Aggregation of Partial Ordered Subsets.
IEEE Trans. Syst. Man Cybern. Syst., 2020

An Intelligent Edge-centric Queries Allocation Scheme based on Ensemble Models.
ACM Trans. Internet Techn., 2020

Large-scale Data Exploration Using Explanatory Regression Functions.
ACM Trans. Knowl. Discov. Data, 2020

Internet of Things in E-Government: Applications and Challenges.
Int. J. Artif. Intell. Mach. Learn., 2020

On the Road from Edge Computing to the Edge Mesh.
CoRR, 2020

A Fuzzy Logic Controller for Tasks Scheduling Using Unreliable Cloud Resources.
CoRR, 2020

A Probabilistic Approach for Data Management in Pervasive Computing Applications.
CoRR, 2020

Data Synopses Management based on a Deep Learning Model.
CoRR, 2020

On the Use of Interpretable Machine Learning for the Management of Data Quality.
CoRR, 2020

An Ensemble Scheme for Proactive Data Allocation in Distributed Datasets.
CoRR, 2020

A Data Imputation Model based on an Ensemble Scheme.
CoRR, 2020

Proactive Tasks Management based on a Deep Learning Model.
CoRR, 2020

An Intelligent Scheme for Uncertainty Management of Data Synopses Management in Pervasive Computing Applications.
CoRR, 2020

A probabilistic model for assigning queries at the edge.
Computing, 2020

Predictive intelligence of reliable analytics in distributed computing environments.
Appl. Intell., 2020

A Fuzzy Trust Model for Autonomous Entities Acting in Pervasive Computing.
Proceedings of the Trust, Privacy and Security in Digital Business, 2020

Resource Provisioning Schemes for Multiple Workflow Scheduling with Seclusion Requirements.
Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

Uncertainty Driven Workflow Scheduling Using Unreliable Cloud Resources.
Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020

Probabilistic Data Allocation in Pervasive Computing Applications.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

A Continuous Data Imputation Mechanism based on Streams Correlation.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

Ensemble based Data Imputation at the Edge.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

A Proactive Uncertainty Driven Model for Data Synopses Management in Pervasive Applications.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

A Demand-driven, Proactive Tasks Management Model at the Edge.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Intelligent Monitoring of Virtualized Services.
Proceedings of the Advances in Service-Oriented and Cloud Computing, 2020

An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge.
Proceedings of the Machine Learning and Knowledge Extraction, 2020

In-Network Machine Learning Predictive Analytics: A Swarm Intelligence Approach.
Proceedings of the Convergence of Artificial Intelligence and the Internet of Things, 2020

2019
An efficient scheme for applying software updates in pervasive computing applications.
J. Parallel Distributed Comput., 2019

Time-optimized management of mobile IoT nodes for pervasive applications.
J. Netw. Comput. Appl., 2019

An intelligent, time-optimized monitoring scheme for edge nodes.
J. Netw. Comput. Appl., 2019

Multi-criteria optimal task allocation at the edge.
Future Gener. Comput. Syst., 2019

A distributed, proactive intelligent scheme for securing quality in large scale data processing.
Computing, 2019

Coding Time Prediction in H.264/HEVC Transcoding Using Macroblock Sizes.
Proceedings of the 14th International Workshop on Semantic and Social Media Adaptation and Personalization, 2019

A Comparative Assessment of Machine Learning Algorithms for Events Detection.
Proceedings of the 4th South-East Europe Design Automation, 2019

Machine Learning Model Updates in Edge Computing: An Optimal Stopping Theory Approach.
Proceedings of the 18th International Symposium on Parallel and Distributed Computing, 2019

Knowledge-centric Analytics Queries Allocation in Edge Computing Environments.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Optimized Analytics Query Allocation at the Edge of the Network.
Proceedings of the Internet and Distributed Computing Systems, 2019

Evaluation of Heterogeneous Scheduling Algorithms for Wavefront and Tile Parallelism in Video Coding.
Proceedings of the Internet of Things - ICIOT 2019, 2019

Internet of Things Business Models: The RAWFIE Case.
Proceedings of the Digital Transformation for a Sustainable Society in the 21st Century, 2019

A Spatio-Temporal Data Imputation Model for Supporting Analytics at the Edge.
Proceedings of the Digital Transformation for a Sustainable Society in the 21st Century, 2019

2018
An intelligent, uncertainty driven management scheme for software updates in pervasive IoT applications.
Future Gener. Comput. Syst., 2018

An intelligent scheme for assigning queries.
Appl. Intell., 2018

Predictive intelligence to the edge through approximate collaborative context reasoning.
Appl. Intell., 2018

Time-optimized management of IoT nodes.
Ad Hoc Networks, 2018

On Green Scheduling for Desktop Grids.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

A Distributed Data Allocation Scheme for Autonomous Nodes.
Proceedings of the 2018 IEEE SmartWorld, 2018

Data Storage in Internet of Things: A Proposed Distributed Model.
Proceedings of the 12th Mediterranean Conference on Information Systems, 2018

An Intelligent Scheme for the Identification of QoS Violations in Virtualized Environments.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

In-Network Decision Making Intelligence for Task Allocation in Edge Computing.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

An Edge-centric Ensemble Scheme for Queries Assignment.
Proceedings of the 8th International Workshop on Combinations of Intelligent Methods and Applications co-located with 30th International Conference on Artificial Intelligence Tools (ICTAI 2018), 2018

Scheduling the execution of tasks at the edge.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017
Challenges and Opportunities of Waste Management in IoT-Enabled Smart Cities: A Survey.
IEEE Trans. Sustain. Comput., 2017

Data Fusion and Type-2 Fuzzy Inference in Contextual Data Stream Monitoring.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Distributed Localized Contextual Event Reasoning Under Uncertainty.
IEEE Internet Things J., 2017

Reinforcement Learning for Predictive Analytics in Smart Cities.
Informatics, 2017

Learning the engagement of query processors for intelligent analytics.
Appl. Intell., 2017

Investigating The Business Potential Of Internet Of Things.
Proceedings of the 11th Mediterranean Conference on Information Systems, 2017

Uncertainty-driven ensemble forecasting of QoS in Software Defined Networks.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

2016
Accurate, Dynamic, and Distributed Localization of Phenomena for Mobile Sensor Networks.
ACM Trans. Sens. Networks, 2016

Effective problem solving through fuzzy logic knowledge bases aggregation.
Soft Comput., 2016

Fuzzy Modeling of User Behaviors and Virtual Goods Purchases in Social Networking Platforms.
J. Univers. Comput. Sci., 2016

A delay-resilient and quality-aware mechanism over incomplete contextual data streams.
Inf. Sci., 2016

Automated concurrent negotiations: An artificial bee colony approach.
Electron. Commer. Res. Appl., 2016

An intelligent, uncertainty driven aggregation scheme for streams of ordered sets.
Appl. Intell., 2016

2015
Editorial.
Int. J. Mach. Learn. Cybern., 2015

Assessing dynamic models for high priority waste collection in smart cities.
J. Syst. Softw., 2015

A time optimized scheme for top-k list maintenance over incomplete data streams.
Inf. Sci., 2015

Contextual Reasoning under Uncertainty in Sensor Data Stream Monitoring.
Int. J. Monit. Surveillance Technol. Res., 2015

An adaptive fuzzy logic system for automated negotiations.
Fuzzy Sets Syst., 2015

A load balancing module for post-emergency management.
Expert Syst. Appl., 2015

Time-optimized user grouping in Location Based Services.
Comput. Networks, 2015

An Efficient Time Optimized Scheme for Progressive Analytics in Big Data.
Big Data Res., 2015

Intelligent contextual data stream monitoring.
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015

An efficient environmental monitoring system adopting data fusion, prediction, & fuzzy logic.
Proceedings of the 6th International Conference on Information, 2015

2014
Determining the Optimal Stopping Time for Automated Negotiations.
IEEE Trans. Syst. Man Cybern. Syst., 2014

On the use of particle swarm optimization and Kernel density estimator in concurrent negotiations.
Inf. Sci., 2014

Sellers in e-marketplaces: A Fuzzy Logic based decision support system.
Inf. Sci., 2014

Facing the cold start problem in recommender systems.
Expert Syst. Appl., 2014

An efficient Recommendation System based on the Optimal Stopping Theory.
Expert Syst. Appl., 2014

2013
Αυτόματες διαπραγματεύσεις υπολογιστικά νοημόνων οντοτήτων σε ηλεκτρονικές αγορές
PhD thesis, 2013

An extended Q-gram algorithm for calculating the relevance factor of products in electronic marketplaces.
Electron. Commer. Res. Appl., 2013

Efficient Location Based Services for Groups of Mobile Users.
Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

Optimal spatial partitioning for resource allocation.
Proceedings of the 10th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2013

On the Use of PSO with Weights Adaptation in Concurrent Multi-issue Negotiations.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013

2012
A Fuzzy Logic System for Bargaining in Information Markets.
ACM Trans. Intell. Syst. Technol., 2012

Debugging applications created by a Domain Specific Language: The IPAC case.
J. Syst. Softw., 2012

Buyer behavior adaptation based on a fuzzy logic controller and prediction techniques.
Fuzzy Sets Syst., 2012

2010
Building the knowledge base of a buyer agent using reinforcement learning techniques.
Proceedings of the International Joint Conference on Neural Networks, 2010

Buyer agent decision process based on automatic fuzzy rules generation methods.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Automatic Fuzzy rules generation for the deadline calculation of a seller agent.
Proceedings of the International Symposium on Autonomous Decentralized Systems (ISADS 2009), 2009

Ontologies and Intelligent Agents.
Proceedings of the Semantic Web for Knowledge and Data Management, 2009

2008
On the Use of Fuzzy Logic in a Seller Bargaining Game.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

Implicit Deadline Calculation for Seller Agent Bargaining in Information Marketplaces.
Proceedings of the Second International Conference on Complex, 2008

2007
Semantic Location Based Services for Smart Spaces.
Proceedings of the Metadata and Semantics, 2007


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