| Efficient Learning of Communication Profiles from IP Flow Records C Hammerschmidt, S Marchal, R State, G Pellegrino, S Verwer Local Computer Networks (LCN), 2016 IEEE 41st Conference on, 559-562, 2016 | 12 | 2016 |
| Short-term time series forecasting with regression automata Q Lin, C Hammerschmidt, G Pellegrino, S Verwer | 10 | 2016 |
| Learning behavioral fingerprints from Netflows using Timed Automata G Pellegrino, Q Lin, C Hammerschmidt, S Verwer Integrated Network and Service Management (IM), 2017 IFIP/IEEE Symposium on …, 2017 | 8 | 2017 |
| flexfringe: A Passive Automaton Learning Package SE Verwer, C Hammerschmidt Software Maintenance and Evolution (ICSME), 2017 IEEE International …, 2017 | 7 | 2017 |
| Behavioral clustering of non-stationary IP flow record data C Hammerschmidt, S Marchal, R State, S Verwer Network and Service Management (CNSM), 2016 12th International Conference on …, 2016 | 7 | 2016 |
| BotGM: Unsupervised graph mining to detect botnets in traffic flows S Lagraa, J François, A Lahmadi, M Miner, C Hammerschmidt, R State Cyber Security in Networking Conference (CSNet), 2017 1st, 1-8, 2017 | 6 | 2017 |
| Learning deterministic finite automata from infinite alphabets G Pellegrino, C Hammerschmidt, Q Lin, S Verwer International Conference on Grammatical Inference, 120-131, 2017 | 4 | 2017 |
| Interpreting Finite Automata for Sequential Data CA Hammerschmidt, S Verwer, Q Lin, R State arXiv preprint arXiv:1611.07100, 2016 | 4 | 2016 |
| Reliable Machine Learning for Networking: Key Issues and Approaches CA Hammerschmidt, S Garcia, S Verwer, R State Local Computer Networks (LCN), 2017 IEEE 42nd Conference on, 167-170, 2017 | 3 | 2017 |
| Improving Missing Data Imputation with Deep Generative Models RD Camino, CA Hammerschmidt, R State arXiv preprint arXiv:1902.10666, 2019 | 1 | 2019 |
| An Experimental Analysis of Fraud Detection Methods in Enterprise Telecommunication Data using Unsupervised Outlier Ensembles G Kaiafas, C Hammerschmidt, R State, CD Nguyen, T Ries, M Ourdane 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2019 | | 2019 |
| MalPaCA: Malware Packet Sequence Clustering and Analysis A Nadeem, C Hammerschmidt, CH Gañán, S Verwer arXiv preprint arXiv:1904.01371, 2019 | | 2019 |
| Auto Semi-supervised Outlier Detection for Malicious Authentication Events G Kaiafas, C Hammerschmidt, S Lagraa ECML PKDD 2019 Workshops, 2019 | | 2019 |
| Time Series Modeling of Market Price in Real-Time Bidding M Du, C Hammerschmidt, G Varisteas, MH Brorsson, Z Zhang 27th European Symposium on Artificial Neural Networks, Computational …, 2019 | | 2019 |
| Generating Multi-Categorical Samples with Generative Adversarial Networks R Camino, C Hammerschmidt, R State arXiv preprint arXiv:1807.01202, 2018 | | 2018 |
| Learning Finite Automata via Flexible State-Merging and Applications in Networking C Hammerschmidt University of Luxembourg, Luxembourg, 2017 | | 2017 |
| Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms CA Hammerschmidt, R State, S Verwer arXiv preprint arXiv:1707.09430, 2017 | | 2017 |
| Flexible State-Merging for learning (P) DFAs in Python C Hammerschmidt, B Loos, T Engel, S Verwer Proceedings of The 13th International Conference on Grammatical Inference …, 2016 | | 2016 |
| Beyond Labeling: Intuitive Capability Assessment of Malware using Network Behavioral Profiles A Nadeem, C Hammerschmidt, CH Gañán, S Verwer | | |
Sicco VerwerDelft University of TechnologyVerified email at tudelft.nl
