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Alexander Acker
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2020 – today
- 2023
- [c25]Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao:
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. HICSS 2023: 1376-1385 - [c24]Thorsten Wittkopp, Alexander Acker, Odej Kao:
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. ICDM (Workshops) 2023: 1231-1239 - [i16]Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao:
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. CoRR abs/2301.10681 (2023) - [i15]Thorsten Wittkopp, Alexander Acker, Odej Kao:
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. CoRR abs/2312.14748 (2023) - 2022
- [c23]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. HICSS 2022: 1-10 - [c22]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
QuLog: data-driven approach for log instruction quality assessment. ICPC 2022: 275-286 - [i14]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
Data-Driven Approach for Log Instruction Quality Assessment. CoRR abs/2204.02618 (2022) - 2021
- [b1]Alexander Acker:
Anomaly symptom recognition in distributed IT systems. Technical University of Berlin, Germany, 2021 - [c21]Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao:
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CLUSTER 2021: 261-270 - [c20]Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker:
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. ICSOC 2021: 700-707 - [c19]Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao:
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. IPCCC 2021: 1-8 - [i13]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao:
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR abs/2101.06054 (2021) - [i12]Thorsten Wittkopp, Alexander Acker:
Decentralized Federated Learning Preserves Model and Data Privacy. CoRR abs/2102.00880 (2021) - [i11]Soeren Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao:
Towards AIOps in Edge Computing Environments. CoRR abs/2102.09001 (2021) - [i10]Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao:
Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models. CoRR abs/2102.11570 (2021) - [i9]Dominik Scheinert, Alexander Acker:
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. CoRR abs/2102.12877 (2021) - [i8]Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao:
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. CoRR abs/2103.05245 (2021) - [i7]Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao:
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CoRR abs/2107.13921 (2021) - [i6]Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao:
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. CoRR abs/2108.12211 (2021) - [i5]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. CoRR abs/2109.09537 (2021) - [i4]Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker:
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. CoRR abs/2111.01657 (2021) - 2020
- [c18]Anton Gulenko, Alexander Acker, Florian Schmidt, Sören Becker, Odej Kao:
Bitflow: An In Situ Stream Processing Framework. ACSOS Companion 2020: 182-187 - [c17]Soeren Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao:
Towards AIOps in Edge Computing Environments. IEEE BigData 2020: 3470-3475 - [c16]Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao:
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. FedCSIS 2020: 7-10 - [c15]Anton Gulenko, Alexander Acker, Odej Kao, Feng Liu:
AI-Governance and Levels of Automation for AIOps-supported System Administration. ICCCN 2020: 1-6 - [c14]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. ICDM 2020: 1196-1201 - [c13]Thorsten Wittkopp, Alexander Acker:
Decentralized Federated Learning Preserves Model and Data Privacy. ICSOC Workshops 2020: 176-187 - [c12]Dominik Scheinert, Alexander Acker:
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. ICSOC Workshops 2020: 214-227 - [c11]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-supervised Log Parsing. ECML/PKDD (4) 2020: 122-138 - [c10]Li Wu, Johan Tordsson, Alexander Acker, Odej Kao:
MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems. UCC 2020: 227-236 - [i3]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Supervised Log Parsing. CoRR abs/2003.07905 (2020) - [i2]Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao:
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. CoRR abs/2007.03568 (2020) - [i1]Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao:
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. CoRR abs/2008.09340 (2020)
2010 – 2019
- 2019
- [c9]Marcel Wallschläger, Alexander Acker, Odej Kao:
Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring. ICCSA (1) 2019: 241-256 - [c8]Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, Odej Kao:
Graph-based Feature Selection Filter Utilizing Maximal Cliques. SNAMS 2019: 297-302 - 2018
- [c7]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: 912-915 - [c6]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: 278-283 - [c5]Alexander Acker, Florian Schmidt, Anton Gulenko, Odej Kao:
Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems. CloudCom 2018: 290-295 - [c4]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: 1-6 - [c3]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: 187-194 - [c2]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: 71-76 - 2017
- [c1]Alexander Acker, Florian Schmidt, Anton Gulenko, Reinhard Kietzmann, Odej Kao:
Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams. IEEE BigData 2017: 3841-3846
Coauthor Index
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