Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. - Alexander Acker; Thorsten Wittkopp; Sasho Nedelkoski; Jasmin Bogatinovski; Odej Kao (FedCSIS, 2020)

Decentralized Federated Learning Preserves Model and Data Privacy. - Thorsten Wittkopp; Alexander Acker (ICSOC Workshops, 2020)

On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. - Dominik Scheinert; Alireza Alamgiralem; Jonathan Bader; Jonathan Will; Thorsten Wittkopp; Lauritz Thamsen (IEEE BigData, 2021)

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. - Dominik Scheinert; Lauritz Thamsen; Houkun Zhu; Jonathan Will; Alexander Acker; Thorsten Wittkopp; Odej Kao (CLUSTER, 2021)

LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. - Thorsten Wittkopp; Philipp Wiesner; Dominik Scheinert; Alexander Acker (ICSOC, 2021)

A Taxonomy of Anomalies in Log Data. - Thorsten Wittkopp; Philipp Wiesner; Dominik Scheinert; Odej Kao (ICSOC Workshops, 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)

Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. - Philipp Wiesner; Dominik Scheinert; Thorsten Wittkopp; Lauritz Thamsen; Odej Kao (Euro-Par, 2022)

A2Log: Attentive Augmented Log Anomaly Detection. - Thorsten Wittkopp; Alexander Acker; Sasho Nedelkoski; Jasmin Bogatinovski; Dominik Scheinert; Wu Fan; Odej Kao (HICSS, 2022)

PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. - Thorsten Wittkopp; Dominik Scheinert; Philipp Wiesner; Alexander Acker; Odej Kao (HICSS, 2023)

Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. - Thorsten Wittkopp; Alexander Acker; Odej Kao (ICDM (Workshops), 2023)

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. - Dominik Scheinert; Philipp Wiesner; Thorsten Wittkopp; Lauritz Thamsen; Jonathan Will; Odej Kao (IPCCC, 2023)

LogRCA: Log-Based Root Cause Analysis for Distributed Services. - Thorsten Wittkopp; Philipp Wiesner; Odej Kao (Euro-Par (2), 2024)

Beyond Test-Time Compute Strategies: Advocating Energy-per-Token in LLM Inference. - Patrick Wilhelm; Thorsten Wittkopp; Odej Kao (EuroMLSys, 2025)