Behavioral clustering of non-stationary IP flow record data. - Christian A. Hammerschmidt; Samuel Marchal; Radu State; Sicco Verwer (CNSM, 2016)

Flexible State-Merging for Learning (P)DFAs in Python. - Christian A. Hammerschmidt; Benjamin Loos; Radu State; Thomas Engel 001 (ICGI, 2016)

Learning Deterministic Finite Automata from Infinite Alphabets. - Gaetano Pellegrino; Christian A. Hammerschmidt; Qin Lin 001; Sicco Verwer (ICGI, 2016)

Efficient Learning of Communication Profiles from IP Flow Records. - Christian A. Hammerschmidt; Samuel Marchal; Radu State; Gaetano Pellegrino; Sicco Verwer (LCN, 2016)

Interpreting Finite Automata for Sequential Data. - Christian Albert Hammerschmidt; Sicco Verwer; Qin Lin 001; Radu State (CoRR, 2016)

BotGM: Unsupervised graph mining to detect botnets in traffic flows. - Sofiane Lagraa; Jérôme François; Abdelkader Lahmadi; Marine Miner; Christian A. Hammerschmidt; Radu State (CSNet, 2017)

flexfringe: A Passive Automaton Learning Package. - Sicco Verwer; Christian A. Hammerschmidt (ICSME, 2017)

Learning behavioral fingerprints from Netflows using Timed Automata. - Gaetano Pellegrino; Qin Lin 001; Christian A. Hammerschmidt; Sicco Verwer (IM, 2017)

Reliable Machine Learning for Networking: Key Issues and Approaches. - Christian A. Hammerschmidt; Sebastian Garcia; Sicco Verwer; Radu State (LCN, 2017)

Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms. - Christian A. Hammerschmidt; Radu State; Sicco Verwer (CoRR, 2017)

Learning Finite Automata via Flexible State-Merging and Applications in Networking. - Christian A. Hammerschmidt (2017)

Generating Multi-Categorical Samples with Generative Adversarial Networks. - Ramiro Camino; Christian A. Hammerschmidt; Radu State (CoRR, 2018)

time series modelling of market price in real-time bidding. - Manxing Du; Christian A. Hammerschmidt; Georgios Varisteas; Radu State; Mats Brorsson; Zhu Zhang (ESANN, 2019)

An Experimental Analysis of Fraud Detection Methods in Enterprise Telecommunication Data using Unsupervised Outlier Ensembles. - Georgios Kaiafas; Christian A. Hammerschmidt; Radu State; Cu D. Nguyen; Thorsten Ries; Mohamed Ourdane (IM, 2019)

Auto Semi-supervised Outlier Detection for Malicious Authentication Events. - Georgios Kaiafas; Christian A. Hammerschmidt; Sofiane Lagraa; Radu State (PKDD/ECML Workshops (2), 2019)

Improving Missing Data Imputation with Deep Generative Models. - Ramiro Daniel Camino; Christian A. Hammerschmidt; Radu State (CoRR, 2019)

MalPaCA: Malware Packet Sequence Clustering and Analysis. - Azqa Nadeem; Christian A. Hammerschmidt; Carlos Hernandez Gañán; Sicco Verwer (CoRR, 2019)

The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. - Sicco Verwer; Azqa Nadeem; Christian A. Hammerschmidt; Laurens Bliek; Abdullah Al-Dujaili; Una-May O'Reilly (AISec@CCS, 2020)

Oversampling Tabular Data with Deep Generative Models: Is it worth the effort? - Ramiro Daniel Camino; Radu State; Christian A. Hammerschmidt (ICBINB@NeurIPS, 2020)

Federated Learning For Cyber Security: SOC Collaboration For Malicious URL Detection. - Ekaterina Khramtsova; Christian A. Hammerschmidt; Sofiane Lagraa; Radu State (ICDCS, 2020)

Minority Class Oversampling for Tabular Data with Deep Generative Models. - Ramiro Camino; Christian A. Hammerschmidt; Radu State (CoRR, 2020)

FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata. - Sicco Verwer; Christian A. Hammerschmidt (CoRR, 2022)