Florian Schmidt

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 35

Top Topics

Anomaly Detection

Maximal Cliques

Top Venues

Publications

Houkun Zhu, Helena Ebel, Dominik Scheinert, Florian Schmidt, Jens Altenkirch, Odej Kao
Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process. IEEM (2022)
Sören Becker, Dominik Scheinert, Florian Schmidt, Odej Kao
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. CoRR (2022)
Sören Becker, Dominik Scheinert, Florian Schmidt, Odej Kao
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. ICFEC (2022)
Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CoRR (2021)
Sören Becker, Florian Schmidt, Odej Kao
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. IPCCC (2021)
Sören Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao
Towards AIOps in Edge Computing Environments. CoRR (2021)
Sören Becker, Florian Schmidt, Odej Kao
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. CoRR (2021)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Sören Becker, Jorge Cardoso, Odej Kao
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR (2021)
Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CCGRID (2021)
Sören Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. ACSOS (2021)
Kevin Styp-Rekowski, Florian Schmidt, Odej Kao
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. CoRR (2021)
Sören Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. CoRR (2021)
Anton Gulenko, Alexander Acker, Florian Schmidt, Sören Becker, Odej Kao
Bitflow: An In Situ Stream Processing Framework. ACSOS Companion (2020)
Sören Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao
Towards AIOps in Edge Computing Environments. IEEE BigData (2020)
Kevin Styp-Rekowski, Florian Schmidt, Odej Kao
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. IEEE BigData (2020)
Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger
Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR (2020)
Anton Gulenko, Odej Kao, Florian Schmidt
Anomaly Detection and Levels of Automation for AI-Supported System Administration. SIMBig (2019)
René Wetzig, Anton Gulenko, Florian Schmidt
Unsupervised Anomaly Alerting for IoT-Gateway Monitoring using Adaptive Thresholds and Half-Space Trees. IoTSMS (2019)
Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, Odej Kao
Graph-based Feature Selection Filter Utilizing Maximal Cliques. SNAMS (2019)
Marcel Wallschläger, Anton Gulenko, Florian Schmidt, Alexander Acker, Odej Kao
Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution. CloudNet (2018)
Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao
Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima. UCC Companion (2018)
Alexander Acker, Florian Schmidt, Anton Gulenko, Odej Kao
Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems. CloudCom (2018)
Florian Schmidt, Yannick Ehrenfeld
ViMEC: Interactive Application for Micro-Cluster Visualizations. EuroVis (Posters) (2018)
Dora Szucs, Florian Schmidt
Decision Tree Visualization for High-Dimensional Numerical Data. SNAMS (2018)
Florian Schmidt, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Vincent Hennig, Feng Liu, Odej Kao
IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services. ICWS (2018)
Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao
Unsupervised Anomaly Event Detection for VNF Service Monitoring Using Multivariate Online Arima. CloudCom (2018)
Anton Gulenko, Florian Schmidt, Alexander Acker, Marcel Wallschläger, Odej Kao, Feng Liu
Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering. IEEE CLOUD (2018)
Florian Schmidt, Vincent Hennig, Sarah Köhler, Marcel Wallschläger, Anton Gulenko, Hartmut Schmidt, Odej Kao
Novel framework combining health records with medical algorithms. PervasiveHealth (2017)
Marcel Wallschläger, Anton Gulenko, Florian Schmidt, Odej Kao, Feng Liu
Automated Anomaly Detection in Virtualized Services Using Deep Packet Inspection. FNC/MobiSPC (2017)
Jannis Koch, Lauritz Thamsen, Florian Schmidt, Odej Kao
SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows. PDCAT (2017)
Lauritz Thamsen, Benjamin Rabier, Florian Schmidt, Thomas Renner, Odej Kao
Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference. BigData Congress (2017)
Alexander Acker, Florian Schmidt, Anton Gulenko, Reinhard Kietzmann, Odej Kao
Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams. IEEE BigData (2017)
Anton Gulenko, Marcel Wallschläger, Florian Schmidt, Odej Kao, Feng Liu
A System Architecture for Real-time Anomaly Detection in Large-scale NFV Systems. FNC/MobiSPC (2016)
Anton Gulenko, Marcel Wallschläger, Florian Schmidt, Odej Kao, Feng Liu
Evaluating machine learning algorithms for anomaly detection in clouds. IEEE BigData (2016)
Lauritz Thamsen, Ilya Verbitskiy, Florian Schmidt, Thomas Renner, Odej Kao
Selecting resources for distributed dataflow systems according to runtime targets. IPCCC (2016)