Publications

Akshay Akshay, Masoud Abedi, Navid Shekarchizadeh, Fiona C Burkhard, Mitali Katoch, Alex Bigger-Allen, Rosalyn M Adam, Katia Monastyrskaya, and Ali Hashemi Gheinani. MLcps: machine learning cumulative performance score for classification problems. GigaScience, (12):giad108, December 2023. [PUMA: MLcps cumulative learning machine performance yaff xack] URL

Robert Chlumsky, Juliane Mai, James R Craig, and Bryan A Tolson. Advancement of a blended hydrologic model for robust model performance. March 2023. [PUMA: Advancement blended hydrologic model performance robust yaff]

Lily-belle Sweet, Christoph Müller, Mohit Anand, and Jakob Zscheischler. Cross-Validation Strategy Impacts the Performance and Interpretation of Machine Learning Models. Artificial Intelligence for the Earth Systems, (2)4American Meteorological Society, October 2023. [PUMA: Cross-Validation Interpretation MLM Performance Strategy zno] URL

Siavash Ghiasvand, and Florina M. Ciorba. Anomaly Detection in High Performance Computers: A Vicinity Perspective. 2019 18th International Symposium on Parallel and Distributed Computing (ISPDC), 112--120, Amsterdam, Netherlands, June 2019. [PUMA: Anomaly Bridges, Computer Correlation, Graphics HPC Hardware, Resource analysis, anomaly anonymized approach approach, architecture, components, computerised computers, computing computing, detection detection, exascale failure hardware, high hpc, instrumentation, management, mechanism, myOwn node performance prediction, privacy, processing sensors, statistical system system, units, vicinity, vicinity-based,]

Siavash Ghiasvand, and Florina M. Ciorba. Assessing Data Usefulness for Failure Analysis in Anonymized System Logs. Proceedings of the 17th International Symposium on Parallel and Distributed Computing (ISPDC), 164--171, Geneva, Switzerland, June 2018. [PUMA: Data Distributed Encoding, Encryption, High Measurement, Privacy, analysis, anonymization, behavior computing, databases, detection, dissertation encoding, failure high myOwn performance privacy, usefulness,]

Peter Winkler, Norman Koch, Andreas Hornig, and Johannes Gerritzen. OmniOpt – A tool for hyperparameter optimization on HPC. In Heike Jagode, Hartwig Anzt, Hatem Ltaief, and Piotr Luszczek (Eds.), High Performance Computing - ISC High Performance Digital 2021 International Workshops, 2021, Revised Selected Papers, 285--296, Springer, Berlin u. a., Germany, Nov 13, 2021. [PUMA: FIS_scads High Hyperparameter computing networks neural optimization performance xack]

Elias Werner. Towards Highly Performant Context Awareness in the Internet of Things. In José Manuel Machado, Pablo Chamoso, Guillermo Hernández, Grzegorz Bocewicz, Roussanka Loukanova, Roussanka Loukanova, Esteban Jove, Angel Martin del Rey, and Michela Ricca (Eds.), Distributed Computing and Artificial Intelligence, Special Sessions, 19th International Conference, (583):165--170, Springer Link, February 2023. [PUMA: Concept FIS_scads IoT Performance analysis, area_bigdata detection, drift nopdf]

Yedhu Sastri, Kim Feldhoff, Jörn Starruß, René Jäkel, and Ralph Müller-Pfefferkorn. A Workflow for the Integral Performance Analysis of Cloud Applications Using Monitoring and Tracing Techniques. Proceedings of the 2017 International Conference on Cloud and Big Data Computing, 73–78, Association for Computing Machinery, New York, NY, USA, 2017. [PUMA: Cloud Container Docker Micro Monitoring Performance Score-P Tracing Workflow analysis application collectd services xack] URL