Robert Harper

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Computer Networks

Fault Localization

Granger Causality

Top Venues

IEEE Trans. Netw. Serv. Manag.

Publications

Yusufu Shehu, Robert Harper
Efficient Periodicity Analysis for Real-Time Anomaly Detection. NOMS (2023)
Yusufu Shehu, Robert Harper
Enhancements to Language Modeling Techniques for Adaptable Log Message Classification. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Robert Harper, Philip Tee
Structural Network Metrics and Incident Generation. NOMS (2022)
Giles Winchester, George Parisis, Robert Harper, Luc Berthouze
Accelerating Causal Inference Based RCA Using Prior Knowledge From Functional Connectivity Inference. CNSM (2022)
Robert Harper, Philip Tee
Balancing capacity and epidemic spread in the global airline network. Appl. Netw. Sci. 6 (1) (2021)
Yusufu Shehu, Robert Harper
Exploring the Adaptability of Word Embeddings to Log Message Classification. IM (2021)
Yusufu Shehu, Robert Harper
Improved Fault Localization using Transfer Learning and Language Modeling. NOMS (2020)
Robert Harper, Philip Tee
A Method for Temporal Event Correlation. IM (2019)
Antoine Messager, George Parisis, Istvan Z. Kiss, Robert Harper, Phil Tee, Luc Berthouze
Functional Topology Inference from Network Events. IM (2019)
Antoine Messager, George Parisis, Istvan Z. Kiss, Robert Harper, Phil Tee, Luc Berthouze
Inferring Functional Connectivity From Time-Series of Events in Large Scale Network Deployments. IEEE Trans. Netw. Serv. Manag. 16 (3) (2019)
Antoine Messager, George Parisis, Robert Harper, Philip Tee, Istvan Z. Kiss, Luc Berthouze
Network events in a large commercial network: What can we learn? NOMS (2018)
Antoine Messager, George Parisis, Istvan Z. Kiss, Robert Harper, Phil Tee, Luc Berthouze
Inferring the time-varying functional connectivity of large-scale computer networks from emitted events. CoRR (2018)
Robert Harper, Philip Tee
Cookbook, a recipe for fault localization. NOMS (2018)
Robert Harper, Philip Tee
The application of Neural Networks to predicting the root cause of service failures. IM (2017)