Context-aware point of interest recommendation using tensor factorization. - Stathis Maroulis; Ioannis Boutsis; Vana Kalogeraki (IEEE BigData, 2016)

Dione: Profiling spark applications exploiting graph similarity. - Nikos Zacheilas; Stathis Maroulis; Vana Kalogeraki (IEEE BigData, 2017)

ExpREsS: EneRgy Efficient Scheduling of Mixed Stream and Batch Processing Workloads. - Stathis Maroulis; Nikos Zacheilas; Vana Kalogeraki (ICAC, 2017)

A Framework for Efficient Energy Scheduling of Spark Workloads. - Stathis Maroulis; Nikos Zacheilas; Vana Kalogeraki (ICDCS, 2017)

Dione: A Framework for Automatic Profiling and Tuning Big Data Applications. - Nikos Zacheilas; Stathis Maroulis; Thanasis Priovolos; Vana Kalogeraki; Dimitrios Gunopulos (ICDE, 2018)

Low-Rank Methods in Event Detection. - Jakub Marecek; Stathis Maroulis; Vana Kalogeraki; Dimitrios Gunopulos (CoRR, 2018)

Fast. Efficient Performance Predictions for Big Data Applications. - Stathis Maroulis; Nikos Zacheilas; Thanasis Theocharis; Vana Kalogeraki (ISORC, 2019)

ESCAPe: Elastic Caching For Big Data Systems. - Thanasis Priovolos; Stathis Maroulis; Vana Kalogeraki (SRDS, 2019)

A Framework for Managing an Elastic Redis Cache. - Thanasis Priovolos; Stathis Maroulis; Vana Kalogeraki (SRDS, 2019)

A Holistic Energy-Efficient Real-Time Scheduler for Mixed Stream and Batch Processing Workloads. - Stathis Maroulis; Nikos Zacheilas; Vana Kalogeraki (IEEE Trans. Parallel Distributed Syst., 2019)

Low-Rank Methods in Event Detection With Subsampled Point-to-Subspace Proximity Tests. - Jakub Marecek; Stathis Maroulis; Vana Kalogeraki; Dimitrios Gunopulos (IEEE Access, 2022)