Christian A. Hammerschmidt
Title
Cited by
Cited by
Year
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
132016
Generating Multi-Categorical Samples with Generative Adversarial Networks
R Camino, C Hammerschmidt, R State
arXiv preprint arXiv:1807.01202, 2018
112018
BotGM: Unsupervised graph mining to detect botnets in traffic flows
S Lagraa, J Franšois, A Lahmadi, M Miner, C Hammerschmidt, R State
Cyber Security in Networking Conference (CSNet), 2017 1st, 1-8, 2017
112017
Short-term time series forecasting with regression automata
Q Lin, C Hammerschmidt, G Pellegrino, S Verwer
112016
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 oná…, 2017
92017
flexfringe: A Passive Automaton Learning Package
SE Verwer, C Hammerschmidt
Software Maintenance and Evolution (ICSME), 2017 IEEE Internationalá…, 2017
82017
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 oná…, 2016
72016
Interpreting Finite Automata for Sequential Data
CA Hammerschmidt, S Verwer, Q Lin, R State
arXiv preprint arXiv:1611.07100, 2016
62016
Learning deterministic finite automata from infinite alphabets
G Pellegrino, C Hammerschmidt, Q Lin, S Verwer
International Conference on Grammatical Inference, 120-131, 2017
42017
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
32017
Improving Missing Data Imputation with Deep Generative Models
RD Camino, CA Hammerschmidt, R State
arXiv preprint arXiv:1902.10666, 2019
22019
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
12017
Working with Deep Generative Models and Tabular Data Imputation
R Camino, C Hammerschmidt
2020
Minority Class Oversampling for Tabular Data with Deep Generative Models
R Camino, C Hammerschmidt, R State
arXiv preprint arXiv:2005.03773, 2020
2020
Auto Semi-supervised Outlier Detection for Malicious Authentication Events
G Kaiafas, C Hammerschmidt, S Lagraa
Joint European Conference on Machine Learning and Knowledge Discovery iná…, 2019
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 (IMá…, 2019
2019
Beyond Labeling: Intuitive Capability Assessment of Malware using Network Behavioral Profiles
A Nadeem, C Hammerschmidt, CH Ga˝ßn, S Verwer
arXiv preprint arXiv:1904.01371, 2019
2019
MalPaCA: Malware Packet Sequence Clustering and Analysis
A Nadeem, C Hammerschmidt, CH Ga˝ßn, S Verwer
arXiv preprint arXiv:1904.01371, 2019
2019
time series modelling of market price in real-time bidding.
M Du, CA Hammerschmidt, G Varisteas, Radu State, M Brorsson, Z Zhang
ESANN, 2019
2019
Learning Finite Automata via Flexible State-Merging and Applications in Networking
C Hammerschmidt
University of Luxembourg, Luxembourg, 2017
2017
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