Odej Kao

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Multi-source Distributed System Data for AI-Powered Analytics

Sasho Nedelkoski, Jasmin Bogatinovski, Ajay Kumar Mandapati, Sören Becker, Jorge Cardoso,Odej Kao

ESOCC, pp.161-176, (2020)

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Self-Supervised Anomaly Detection from Distributed Traces

Jasmin Bogatinovski, Sasho Nedelkoski, Jorge Cardoso,Odej Kao

UCC, pp.342-347, (2020)

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AI-Governance and Levels of Automation for AIOps-supported System Administration

Anton Gulenko, Alexander Acker,Odej Kao,Feng Liu

ICCCN, pp.1-6, (2020)

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Bitflow - An In Situ Stream Processing Framework

Anton Gulenko, Alexander Acker, Florian Schmidt, Sören Becker,Odej Kao

ACSOS Companion, pp.182-187, (2020)

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Learning more expressive joint distributions in multimodal variational methods

Sasho Nedelkoski, Mihail Bogojeski,Odej Kao

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Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs

Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso,Odej Kao

ICDM, pp.1196-1201, (2020)

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MicroRAS - Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems

Li Wu, Johan Tordsson, Alexander Acker,Odej Kao

UCC, pp.227-236, (2020)

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Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction

Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski,Odej Kao

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Self-Supervised Log Parsing

Nedelkoski Sasho, Bogatinovski Jasmin, Acker Alexander, Cardoso Jorge,Kao Odej

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Sensor Artificial Intelligence and its Application to Space Systems -- A White Paper

Börner Anko, Hübers Heinz-Wilhelm,Kao Odej, Schmidt Florian,Becker Sören, Denzler Joachim, Matolin Daniel, Haber David, Lucia Sergio,Samek Wojciech, Triebel Rudolph, Eichstädt Sascha

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Fingerprinting Analog IoT Sensors for Secret-Free Authentication

Lorenz Felix,Thamsen Lauritz, Wilke Andreas, Behnke Ilja, Waldmüller-Littke Jens, Komarov Ilya,Kao Odej, Paeschke Manfred

ICCCN, pp.1-6, (2020)

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Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures

Sasho Nedelkoski, Lauritz Thamsen, Ilya Verbitskiy,Odej Kao

EDGE, pp.8-12, (2019)

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Hugo - A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs

Lauritz Thamsen, Ilya Verbitskiy, Sasho Nedelkoski, Vinh Thuy Tran, Vinícius Meyer,Miguel G. Xavier,Odej Kao, César A. F. De Rose

Euro-Par Workshops, pp.519-530, (2019)

Cited by1EIBibtex

Anomaly Detection and Classification using Distributed Tracing and Deep Learning

Sasho Nedelkoski, Jorge Cardoso,Odej Kao

CCGRID, pp.241-250, (2019)

Cited by3EIBibtex

Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring

Marcel Wallschläger, Alexander Acker,Odej Kao

pp.241-256 (2019)

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Anomaly Detection and Levels of Automation for AI-Supported System Administration

Anton Gulenko,Odej Kao, Florian Schmidt

SIMBig, pp.1-7, (2019)

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Effectively Testing System Configurations of Critical IoT Analytics Pipelines

Morgan Geldenhuys,Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz,Odej Kao

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Héctor - A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds

Ilja Behnke, Lauritz Thamsen,Odej Kao

UCC Companion, pp.15-20, (2019)

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Anomaly Detection from System Tracing Data Using Multimodal Deep Learning

Sasho Nedelkoski, Jorge Cardoso,Odej Kao

CLOUD, pp.179-186, (2019)

Cited by2EIBibtex

Graph-based Feature Selection Filter Utilizing Maximal Cliques

Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker,Odej Kao

SNAMS, pp.297-302, (2019)

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Papers203 papers

Odej Kao