Evaluating machine learning algorithms for anomaly detection in clouds. - Anton Gulenko; Marcel Wallschläger; Florian Schmidt 006; Odej Kao; Feng Liu (IEEE BigData, 2016)

A System Architecture for Real-time Anomaly Detection in Large-scale NFV Systems. - Anton Gulenko; Marcel Wallschläger; Florian Schmidt 006; Odej Kao; Feng Liu (FNC/MobiSPC, 2016)

Selecting resources for distributed dataflow systems according to runtime targets. - Lauritz Thamsen; Ilya Verbitskiy; Florian Schmidt 006; Thomas Renner; Odej Kao (IPCCC, 2016)

Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference. - Lauritz Thamsen; Benjamin Rabier; Florian Schmidt 006; Thomas Renner; Odej Kao (BigData Congress, 2017)

Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams. - Alexander Acker; Florian Schmidt 006; Anton Gulenko; Reinhard Kietzmann; Odej Kao (IEEE BigData, 2017)

Automated Anomaly Detection in Virtualized Services Using Deep Packet Inspection. - Marcel Wallschläger; Anton Gulenko; Florian Schmidt 006; Odej Kao; Feng Liu (FNC/MobiSPC, 2017)

SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows. - Jannis Koch; Lauritz Thamsen; Florian Schmidt 006; Odej Kao (PDCAT, 2017)

Novel framework combining health records with medical algorithms. - Florian Schmidt 006; Vincent Hennig; Sarah Köhler; Marcel Wallschläger; Anton Gulenko; Hartmut Schmidt; Odej Kao (PervasiveHealth, 2017)

Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering. - Anton Gulenko; Florian Schmidt 006; Alexander Acker; Marcel Wallschläger; Odej Kao; Feng Liu (IEEE CLOUD, 2018)

Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems. - Alexander Acker; Florian Schmidt 006; Anton Gulenko; Odej Kao (CloudCom, 2018)

Unsupervised Anomaly Event Detection for VNF Service Monitoring Using Multivariate Online Arima. - Florian Schmidt 006; Florian Suri-Payer; Anton Gulenko; Marcel Wallschläger; Alexander Acker; Odej Kao (CloudCom, 2018)

Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution. - Marcel Wallschläger; Anton Gulenko; Florian Schmidt 006; Alexander Acker; Odej Kao (CloudNet, 2018)

IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services. - Florian Schmidt 006; Anton Gulenko; Marcel Wallschläger; Alexander Acker; Vincent Hennig; Feng Liu; Odej Kao (ICWS, 2018)

Decision Tree Visualization for High-Dimensional Numerical Data. - Dora Szucs; Florian Schmidt 006 (SNAMS, 2018)

Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima. - Florian Schmidt 006; Florian Suri-Payer; Anton Gulenko; Marcel Wallschläger; Alexander Acker; Odej Kao (UCC Companion, 2018)

ViMEC: Interactive Application for Micro-Cluster Visualizations. - Florian Schmidt 006; Yannick Ehrenfeld (EuroVis (Posters), 2018)

Unsupervised Anomaly Alerting for IoT-Gateway Monitoring using Adaptive Thresholds and Half-Space Trees. - René Wetzig; Anton Gulenko; Florian Schmidt 006 (IoTSMS, 2019)

Anomaly Detection and Levels of Automation for AI-Supported System Administration. - Anton Gulenko; Odej Kao; Florian Schmidt 006 (SIMBig, 2019)

Graph-based Feature Selection Filter Utilizing Maximal Cliques. - Daniel Thilo Schroeder; Kevin Styp-Rekowski; Florian Schmidt 006; Alexander Acker; Odej Kao (SNAMS, 2019)

Bitflow: An In Situ Stream Processing Framework. - Anton Gulenko; Alexander Acker; Florian Schmidt 006; Sören Becker 001; Odej Kao (ACSOS Companion, 2020)

Towards AIOps in Edge Computing Environments. - Soeren Becker 001; Florian Schmidt 006; Anton Gulenko; Alexander Acker; Odej Kao (IEEE BigData, 2020)

Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. - Kevin Styp-Rekowski; Florian Schmidt 006; Odej Kao (IEEE BigData, 2020)

Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. - Anko Börner; Heinz-Wilhelm Hübers; Odej Kao; Florian Schmidt 006; Soeren Becker 001; Joachim Denzler; Daniel Matolin; David Haber; Sergio Lucia; Wojciech Samek; Rudolph Triebel; Sascha Eichstädt; et al. (CoRR, 2020)

Anomaly detection in cloud computing environments. - Florian Johannes Schmidt (2020)

LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. - Soeren Becker 001; Florian Schmidt 006; Lauritz Thamsen; Ana Juan Ferrer; Odej Kao (ACSOS, 2021)

Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. - Ana Juan Ferrer; Sören Becker 001; Florian Schmidt 006; Lauritz Thamsen; Odej Kao (CCGRID, 2021)

EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. - Soeren Becker 001; Florian Schmidt 006; Odej Kao (IPCCC, 2021)

Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. - Jasmin Bogatinovski; Sasho Nedelkoski; Alexander Acker; Florian Schmidt 006; Thorsten Wittkopp; Soeren Becker 001; Jorge Cardoso 001; Odej Kao (CoRR, 2021)

Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. - Soeren Becker 001; Dominik Scheinert; Florian Schmidt 006; Odej Kao (ICFEC, 2022)

Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process. - Houkun Zhu; Helena Ebel; Dominik Scheinert; Florian Schmidt 006; Jens Altenkirch; Odej Kao (IEEM, 2022)