Predicting Distributions of Service Metrics using Neural Networks. - Forough Shahab Samani; Rolf Stadler (CNSM, 2018)

Efficient Learning on High-dimensional Operational Data. - Forough Shahab Samani; Hongyi Zhang; Rolf Stadler (CNSM, 2019)

Demonstration: Predicting Distributions of Service Metrics. - Forough Shahab; Rolf Stadler; Andreas Johnsson; Christofer Flinta (IM, 2019)

Online feature selection for rapid, low-overhead learning in networked systems. - Xiaoxuan Wang; Forough Shahab Samani; Rolf Stadler (CNSM, 2020)

Online Feature Selection for Low-overhead Learning in Networked Systems. - Xiaoxuan Wang; Forough Shahab Samani; Andreas Johnsson; Rolf Stadler (CNSM, 2021)

Conditional Density Estimation of Service Metrics for Networked Services. - Forough Shahab Samani; Rolf Stadler; Christofer Flinta; Andreas Johnsson (IEEE Trans. Netw. Serv. Manag., 2021)

Dynamically meeting performance objectives for multiple services on a service mesh. - Forough Shahab Samani; Rolf Stadler (CNSM, 2022)

Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh. - Forough Shahab Samani; Kim Hammar; Rolf Stadler (NOMS, 2023)

Online Policy Adaptation for Networked Systems using Rollout. - Forough Shahab Samani; Kim Hammar; Rolf Stadler (NOMS, 2024)

Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment. - Forough Shahab Samani; Hannes Larsson; Simon Damberg; Andreas Johnsson; Rolf Stadler (NOMS, 2024)

A Framework for Dynamically Meeting Performance Objectives on a Service Mesh. - Forough Shahab Samani; Rolf Stadler (IEEE Trans. Netw. Serv. Manag., 2024)