| 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), 1-12, 2014 | 110 | 2014 |
| 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 | 46 | 2015 |
| 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 | 42 | 2018 |
| Multi-objective scheduling of extreme data scientific workflows in Fog V De Maio, D Kimovski Future Generation Computer Systems 106, 171-184, 2020 | 35 | 2020 |
| 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 (4), 5319-5350, 2021 | 17 | 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 | 16 | 2014 |
| Cloud, Fog or Edge: Where to Compute? D Kimovski, R Mathá, J Hammer, N Mehran, H Hellwagner, R Prodan IEEE Internet Computing, 2021 | 13 | 2021 |
| 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 | 13 | 2019 |
| 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 | 13 | 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 | 13 | 2015 |
| 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 | 10 | 2017 |
| 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 | 6 | 2020 |
| Multi-objective service oriented network provisioning in ultra-scale systems D Kimovski, S Ristov, R Mathá, R Prodan European Conference on Parallel Processing, 529-540, 2017 | 6 | 2017 |
| Distributed environment for efficient virtual machine image management in federated cloud architectures D Kimovski, A Marosi, S Gec, N Saurabh, A Kertesz, G Kecskemeti, ... Concurrency and Computation: Practice and Experience 30 (20), e4220, 2018 | 5 | 2018 |
| Towards an Environment for Efficient and Transparent Virtual Machine Operations: The ENTICE Approach D Kimovski, N Saurabh, S Gec, P Štefanič, G Kecskemeti, V Stankovski, ... 2016 5th IEEE International Conference on Cloud Networking, 242-247, 2016 | 5 | 2016 |
| Applications for ultrascale computing LA Bongo, R Ciegis, N Frasheri, J Gong, D Kimovski, P Kropf, S Margenov, ... Supercomputing Frontiers and Innovations, 2015 | 5 | 2015 |
| Semantic approach for multi-objective optimisation of the ENTICE distributed Virtual Machine and container images repository G Sandi, K Dragi, P Uroš, P Radu, S Vlado Concurrency and Computation: Practice and Experience, 2017 | 4* | 2017 |
| Use cases towards a decentralized repository for transparent and efficient virtual machine operations R Prodan, T Fahringer, D Kimovski, G Kecskemeti, AC Marosi, ... 2017 25th Euromicro International Conference on Parallel, Distributed and …, 2017 | 4 | 2017 |
| Multi-objective optimization framework for vmi distribution in federated cloud repositories D Kimovski, N Saurabh, S Gec, V Stankovski, R Prodan European Conference on Parallel Processing, 236-247, 2016 | 4 | 2016 |
| Using constraint-based reasoning for multi-objective optimisation of the entice environment S Gec, D Kimovski, R Prodan, V Stankovski 2016 12th International Conference on Semantics, Knowledge and Grids (SKG …, 2016 | 4 | 2016 |
Radu ProdanUniversity of KlagenfurtVerified email at itec.aau.at
