Florian Schmidt

发表

IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services

Feng Liu, Odej Kao, Florian Schmidt, 2018, 2018 IEEE International Conference on Web Services (ICWS).

A Distributed Information System for Managing Phenotyping Mass Data

Hanno Scharr, Armin B. Cremers, Florian Schmidt, 2013, GIL Jahrestagung.

Automated Anomaly Detection in Virtualized Services Using Deep Packet Inspection

Feng Liu, Odej Kao, Florian Schmidt, 2017, FNC/MobiSPC.

Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference

Odej Kao, Florian Schmidt, Lauritz Thamsen, 2017, 2017 IEEE International Congress on Big Data (BigData Congress).

Unsupervised Anomaly Event Detection for VNF Service Monitoring Using Multivariate Online Arima

Odej Kao, Florian Schmidt, Anton Gulenko, 2018, 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom).

ViMEC: Interactive Application for Micro-Cluster Visualizations

Florian Schmidt, Yannick Ehrenfeld, F. Schmidt, 2018, EuroVis.

Inferring Gene Regulatory Programs with Mixtures of Sparse Multi-Task Regression Models

Marcel H. Schulz, Florian Schmidt, Azim Dehghani Amirabad, 2018, RECOMB 2018.

Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering

Feng Liu, Odej Kao, Florian Schmidt, 2018, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).

Entwicklung einer Multi-Plattform-Benutzerschicht zur tätigkeitsbegleitenden Verwaltung von Phänotypisierungsexperimenten und Pflanzenbestandsdaten

Hanno Scharr, Florian Schmidt, Benjamin Bruns, 2015, GIL Jahrestagung.

Decision Tree Visualization for High-Dimensional Numerical Data

Florian Schmidt, Dora Szucs, 2018, 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS).

Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems

Odej Kao, Florian Schmidt, Anton Gulenko, 2018, 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom).

Real-time Destination and ETA Prediction for Maritime Traffic

Andrey Brito, Andre Martin, Christof Fetzer, 2018, DEBS.

The voice of COVID-19: Acoustic correlates of infection in sustained vowelsa) pdf

Björn W. Schuller, Florian Eyben, Anton Batliner, 2020, The Journal of the Acoustical Society of America.

ROT FAI THAI -- THAILAND'S RAILROADS BETWEEN TRADITION AND PROGRESS

Florian Schmidt, Florian Schmidt, 1992 .

Arbeitspapiere Der Gmd No. Xxx Transparent Integration of Continuous Media Support into a Multimedia Dbms

Matthias Hemmje, Karl Aberer, Silvia von Stackelberg, 1997 .

Novel framework combining health records with medical algorithms

Odej Kao, Florian Schmidt, Anton Gulenko, 2017, PervasiveHealth.

A System Architecture for Real-time Anomaly Detection in Large-scale NFV Systems

Feng Liu, Odej Kao, Florian Schmidt, 2016, FNC/MobiSPC.

Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams

Odej Kao, Florian Schmidt, Anton Gulenko, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper pdf

Odej Kao, Florian Schmidt, Alexander Acker, 2021, ArXiv.

SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows

Odej Kao, Florian Schmidt, Lauritz Thamsen, 2017, 2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT).

The Devil's Triangle: Ethical Considerations on Developing Bot Detection Methods

Florian Schmidt, Simon Hegelich, Andree Thieltges, 2016, AAAI Spring Symposia.

Deep State Space Models for Unconditional Word Generation

Thomas Hofmann, Florian Schmidt, Thomas Hofmann, 2018, NeurIPS.

Applicability of Bio-inspired and Graph-Theoretic Algorithms for the Design of Complex Fault-Tolerant Graphs

Helena Szczerbicka, Florian Schmidt, Matthias Becker, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Evaluating machine learning algorithms for anomaly detection in clouds

Feng Liu, Odej Kao, Florian Schmidt, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Content-Based Microscopic Image Retrieval of Environmental Microorganisms Using Multiple Colour Channels Fusion

Tao Jiang, Chen Li, Marcin Grzegorzek, 2016 .

Training Semantic Parsers from Entity-Annotated Corpora

Florian Schmidt, 2014 .

Neural Document Embeddings for Intensive Care Patient Mortality Prediction pdf

Florian Schmidt, Stephanie L. Hyland, Carsten Eickhoff, 2016, NIPS 2016.

Graph-based Feature Selection Filter Utilizing Maximal Cliques

Odej Kao, Florian Schmidt, Alexander Acker, 2019, 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS).

Advanced Smartphone-Based Sensing with Open-Source Task Automation

Florian Schmidt, Uwe Schlink, Maximilian Ueberham, 2018, Sensors.

Selecting resources for distributed dataflow systems according to runtime targets

Odej Kao, Florian Schmidt, Lauritz Thamsen, 2016, 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC).

Second Law Analysis of Thermodynamic Cycles for Aero Engines

Stephan Staudacher, Florian Schmidt, Bernhard Weigand, 2015 .

Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima

Odej Kao, Florian Schmidt, Anton Gulenko, 2018, 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion).

Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution

Odej Kao, Florian Schmidt, Anton Gulenko, 2018, 2018 IEEE 7th International Conference on Cloud Networking (CloudNet).