| A high-performance system for robust stain normalization of whole-slide images in histopathology A Anghel, M Stanisavljevic, S Andani, N Papandreou, JH Rüschoff, P Wild, ... Frontiers in medicine 6, 193, 2019 | 108 | 2019 |
| Benchmarking and Optimization of Gradient Boosting Decision Tree Algorithms A Anghel, N Papandreou, T Parnell, A De Palma, H Pozidis arXiv preprint arXiv:1809.04559, 2018 | 71 | 2018 |
| Computerized high-speed anomaly detection A Anghel, M Gusat, G Kathareios US Patent 11,663,067, 2023 | 62 | 2023 |
| Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm Rates G Kathareios, A Anghel, A Mate, R Clauberg, M Gusat 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 52 | 2017 |
| Realistic synthetic financial transactions for anti-money laundering models E Altman, J Blanuša, L Von Niederhäusern, B Egressy, A Anghel, K Atasu Advances in Neural Information Processing Systems 36, 2024 | 46 | 2024 |
| Analytic multi-core processor model for fast design-space exploration R Jongerius, A Anghel, G Dittmann, G Mariani, E Vermij, H Corporaal IEEE Transactions on Computers 67 (6), 755-770, 2017 | 38 | 2017 |
| Predicting cloud performance for hpc applications: a user-oriented approach G Mariani, A Anghel, R Jongerius, G Dittmann 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017 | 38 | 2017 |
| An Instrumentation Approach for Hardware-Agnostic Software Characterization A Anghel, LM Vasilescu, R Jongerius, G Dittmann, G Mariani ACM International Conference on Computing Frontiers, 2015 | 35 | 2015 |
| Snap ML: A hierarchical framework for machine learning C Dünner, T Parnell, D Sarigiannis, N Ioannou, A Anghel, G Ravi, ... Advances in Neural Information Processing Systems, 252-262, 2018 | 33 | 2018 |
| Real-time security services for SDN-based datacenters P Varga, G Kathareios, Á Máté, R Clauberg, A Anghel, P Orosz, B Nagy, ... 2017 13th International Conference on Network and Service Management (CNSM), 1-9, 2017 | 31 | 2017 |
| Short and Fat: TCP Performance in CEE Datacenter Networks D Crisan, A Anghel, R Birke, C Minkenberg, M Gusat High Performance Interconnects (HOTI), 2011 IEEE 19th Annual Symposium on, 43-50, 2011 | 27 | 2011 |
| Predicting cloud performance for HPC applications before deployment G Mariani, A Anghel, R Jongerius, G Dittmann Future Generation Computer Systems 87, 618-628, 2018 | 25 | 2018 |
| Sampling Acquisition Functions for Batch Bayesian Optimization A De Palma, C Mendler-Dünner, T Parnell, A Anghel, H Pozidis arXiv preprint arXiv:1903.09434, 2019 | 24 | 2019 |
| Large scale distributed training of data analytics models AS Anghel, B Prisacari US Patent App. 15/227,101, 2018 | 23 | 2018 |
| Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms A Anghel, N Papandreou, T Parnell, A De Palma, H Pozidis arXiv preprint arXiv:1809.04559, 2018 | 21 | 2018 |
| Datacenter scheduling of applications using machine learning techniques AS Anghel, B Prisacari, GR Herrera US Patent 9,720,738, 2017 | 21 | 2017 |
| Datacenter scheduling of applications using machine learning techniques AS Anghel, B Prisacari, GR Herrera US Patent 9,720,738, 2017 | 21 | 2017 |
| Analytic processor model for fast design-space exploration R Jongerius, G Mariani, A Anghel, G Dittmann, E Vermij, H Corporaal 2015 33rd IEEE International Conference on Computer Design (ICCD), 411-414, 2015 | 20 | 2015 |
| Cross-layer flow and congestion control for datacenter networks A Anghel, R Birke, D Crisan, M Gusat Proceedings of the 3rd Workshop on Data Center-Converged and Virtual …, 2011 | 15 | 2011 |
| A scalable synthetic traffic model of Graph500 for computer networks analysis P Fuentes, M Benito, E Vallejo, JL Bosque, R Beivide, A Anghel, ... Concurrency and Computation: Practice and Experience 29 (24), e4231, 2017 | 14 | 2017 |
Thomas ParnellPrincipal Research Scientist, IBM ResearchAdresse e-mail validée de zurich.ibm.com