Dragi Kimovski
Cited by
Cited by
ERG induces taxane resistance in castration-resistant prostate cancer
G Galletti, A Matov, H Beltran, J Fontugne, J Miguel Mosquera, C Cheung, ...
Nature communications 5 (1), 5548, 2014
Multi-objective scheduling of extreme data scientific workflows in fog
V De Maio, D Kimovski
Future Generation Computer Systems 106, 171-184, 2020
Cloud, Fog or Edge: Where to Compute?
D Kimovski, R Mathá, J Hammer, N Mehran, H Hellwagner, R Prodan
IEEE Internet Computing, 2021
Automated bank cheque verification using image processing and deep learning methods
P Agrawal, D Chaudhary, V Madaan, A Zabrovskiy, R Prodan, D Kimovski, ...
Multimedia Tools and Applications 80, 5319-5350, 2021
Adaptive nature-inspired fog architecture
D Kimovski, H Ijaz, N Saurabh, R Prodan
2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC), 1-8, 2018
Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection
D Kimovski, J Ortega, A Ortiz, R Baños
Expert Systems with Applications 42 (9), 4239-4252, 2015
MAPO: a multi-objective model for IoT application placement in a fog environment
N Mehran, D Kimovski, R Prodan
Proceedings of the 9th International Conference on the Internet of Things, 1-8, 2019
Mobility-Aware IoT Application Placement in the Cloud–Edge Continuum
D Kimovski, N Mehran, CE Kerth, R Prodan
IEEE Transactions on Services Computing 15 (6), 3358-3371, 2021
Feature selection in high-dimensional EEG data by parallel multi-objective optimization
D Kimovski, J Ortega, A Ortiz, R Banos
2014 IEEE International Conference on Cluster Computing (CLUSTER), 314-322, 2014
Big data pipelines on the computing continuum: tapping the dark data
D Roman, R Prodan, N Nikolov, A Soylu, M Matskin, A Marrella, ...
Computer 55 (11), 74-84, 2022
Where to Encode: A Performance Analysis of x86 and Arm-based Amazon EC2 Instances
R Mathá, D Kimovski, A Zabrovskiy, C Timmerer, R Prodan
2021 IEEE 17th International Conference on eScience (eScience), 2021
Multi-objective Middleware for Distributed VMI Repositories in Federated Cloud Environment
D Kimovski, N Saurabh, V Stankovski, R Prodan
Scalable Computing: Practice and Experience 17 (4), 299-312, 2016
Leveraging cooperation for parallel multi‐objective feature selection in high‐dimensional EEG data
D Kimovski, J Ortega, A Ortiz, R Baños
Concurrency and Computation: Practice and Experience 27 (18), 5476-5499, 2015
Faascinating resilience for serverless function choreographies in federated clouds
S Ristov, D Kimovski, T Fahringer
IEEE Transactions on Network and Service Management 19 (3), 2440-2452, 2022
A Two-Sided Matching Model for Data Stream Processing in the Cloud-Fog Continuum
N Mehran, D Kimovski, R Prodan
21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021
M3at: Monitoring agents assignment model for data-intensive applications
V Kashansky, D Kimovski, R Prodan, P Agrawal, F Marozzo, G Iuhasz, ...
2020 28th Euromicro International Conference on Parallel, Distributed and …, 2020
Non-functional requirements optimisation for multi-tier cloud applications: An early warning system case study
P Štefanič, D Kimovski, G Suciu, V Stankovski
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2017
Matching-based scheduling of asynchronous data processing workflows on the computing continuum
N Mehran, ZN Samani, D Kimovski, R Prodan
2022 IEEE International Conference on Cluster Computing (CLUSTER), 58-70, 2022
Beyond von neumann in the computing continuum: Architectures, applications, and future directions
D Kimovski, N Saurabh, M Jansen, A Aral, A Al-Dulaimy, AB Bondi, ...
IEEE Internet Computing, 2023
Incremental multilayer resource partitioning for application placement in dynamic fog
ZN Samani, N Mehran, D Kimovski, S Benedict, N Saurabh, R Prodan
IEEE Transactions on Parallel and Distributed Systems 34 (6), 1877-1896, 2023
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