The application of Neural Networks to predicting the root cause of service failures. - Robert Harper 004; Philip Tee (IM, 2017)

Cookbook, a recipe for fault localization. - Robert Harper 004; Philip Tee (NOMS, 2018)

Network events in a large commercial network: What can we learn? - Antoine Messager; George Parisis; Robert Harper 004; Philip Tee; Istvan Z. Kiss; Luc Berthouze (NOMS, 2018)

Inferring the time-varying functional connectivity of large-scale computer networks from emitted events. - Antoine Messager; George Parisis; Istvan Z. Kiss; Robert Harper 004; Phil Tee; Luc Berthouze (CoRR, 2018)

A Method for Temporal Event Correlation. - Robert Harper 004; Philip Tee (IM, 2019)

Functional Topology Inference from Network Events. - Antoine Messager; George Parisis; Istvan Z. Kiss; Robert Harper 004; Phil Tee; Luc Berthouze (IM, 2019)

Inferring Functional Connectivity From Time-Series of Events in Large Scale Network Deployments. - Antoine Messager; George Parisis; Istvan Z. Kiss; Robert Harper 004; Phil Tee; Luc Berthouze (IEEE Trans. Netw. Serv. Manag., 2019)

Improved Fault Localization using Transfer Learning and Language Modeling. - Yusufu Shehu; Robert Harper 004 (NOMS, 2020)

Exploring the Adaptability of Word Embeddings to Log Message Classification. - Yusufu Shehu; Robert Harper 004 (IM, 2021)

Balancing capacity and epidemic spread in the global airline network. - Robert Harper 004; Philip Tee (Appl. Netw. Sci., 2021)

Accelerating Causal Inference Based RCA Using Prior Knowledge From Functional Connectivity Inference. - Giles Winchester; George Parisis; Robert Harper 004; Luc Berthouze (CNSM, 2022)

Structural Network Metrics and Incident Generation. - Robert Harper 004; Philip Tee (NOMS, 2022)

Enhancements to Language Modeling Techniques for Adaptable Log Message Classification. - Yusufu Shehu; Robert Harper 004 (IEEE Trans. Netw. Serv. Manag., 2022)

Efficient Periodicity Analysis for Real-Time Anomaly Detection. - Yusufu Shehu; Robert Harper 004 (NOMS, 2023)