MLcps: machine learning cumulative performance score for classification problems. GigaScience, (12):giad108, December 2023. [PUMA: MLcps Xack Yaff cumulative learning machine performance] URL
Advancement of a blended hydrologic model for robust model performance. March 2023. [PUMA: Advancement blended hydrologic model performance robust]
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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] URL
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: Interpretation Performance Cross-Validation Strategy from:scadsfct MLM] URL
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: detection sensors, vicinity, Resource performance system, Correlation, components, exascale Graphics node system Bridges, failure architecture, processing units, HPC vicinity-based, computerised approach, hpc, privacy, myOwn anomaly approach from:ghiasvan statistical hardware, instrumentation, computing, management, high Hardware, computers, computing mechanism, prediction, detection, anonymized Computer analysis, Anomaly]
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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,]
FROOM: A Framework of Operators for OTF2 Modification. Proceedings of 2023 SC Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC Workshops 2023, 1403–1411, Association for Computing Machinery (ACM), New York, United States of America, Nov 12, 2023. [PUMA: area_architectures FIS_scads domain language, logs, performance performance, software specific trace]
A C++ Library for Memory Layout and Performance Portability of Scientific Applications. In Jeremy Singer, Yehia Elkhatib, Dora Blanco Heras, Patrick Diehl, Nick Brown, and Aleksandar Ilic (Eds.), Euro-Par 2022, 109--120, Springer Science and Business Media B.V., Germany, 2023. [PUMA: topic_lifescience C++ FIS_scads GPU, algorithms, generic layout, memory multi-core, performance portability tuples,]
Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration. In Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Thomas Bäck, Heike Trautmann, Tea Tusar, and Penousal Machado (Eds.), Parallel Problem Solving from Nature – PPSN XVIII, 202--216, Springer, Berlin u. a., Sep 7, 2024. [PUMA: topic_engineering Benchmarking, FIS_scads Multi-objective Pareto Performance R2 Utility assessment, compliance, functions indicator, optimization,]
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: area_bigdata Concept FIS_scads IoT Performance analysis, detection, drift]
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 Neural computing, networks optimization, performance]
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,] URL