cloudmask-report-old.bib

@article{las-2023-mlcommons-edu-eq,
 author = {von Laszewski, Gregor and Fleischer, J.P. and Knuuti, R. and Fox, G.C. and Kolessar, J. and Butler, T.S. and Fox, J.},
 journal = {Frontiers in High Performance Computing,},
 month = {October},
 number = {1233877},
 pages = {31},
 title = {Opportunities for enhancing MLCommons efforts while leveraging insights from educational MLCommons earthquake benchmarks efforts},
 url = {https://doi.org/10.3389/fhpcp.2023.1233877},
 volume = {1},
 year = {2023}
}

@misc{github-cloudmesh-ee,
	title = {{Cloudmesh Experiment Executor Repository}},
	year = {2022},
	month = oct,
	note = {formerly know as cloudmesh-sbatch \url{https://github.com/cloudmesh/cloudmesh-ee}},
	url = {https://github.com/cloudmesh/cloudmesh-ee}
}

%@misc{github-cloudmesh-sbatch,
%	author = {von Laszewski, Gregor},
%	title = {{Hyperparameter Search Batch Job Generator}},
%	howpublished = {GitHub},
%	year = {2022},
%	month = oct,
%	note = {[Online; accessed 14. Oct. 2022]},
%	url = {https://github.com/cloudmesh/cloudmesh-sbatch}
%}

@InProceedings{las-2023-escience-cloudmask,
  author = {von Laszewski, Gregor and 
            Fleischer, J.P. and
            Fox, Geoffrey C. and
            Juri Papay and
            Sam Jackson and
            Jeyan Thiyagalingam
    },
  title = {Templated Hybrid Reusable Computational 
           Analytics Workflow Management with Cloudmesh,
           Applied to the Deep Learning MLCommons 
           Cloudmask Application},
  OPTcrossref =  {},
  OPTkey = 	 {},
  OPTbooktitle = {eScience 2023},
  year = 	 2023,
  OPTeditor = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  pages = 	 6,
  month = 	 oct,
  address = 	 {Limassol, Cyprus},
  organization = {2nd Workshop on Reproducible Workflows, Data Management, and Security},
  publisher = {IEEE},
  note = 	 {A longer paper draft is available at \cite{las-2023-ai-workflow}},
  OPTannote = 	 {}
}


@misc{las-2023-ai-workflow,
  title =	 {Hybrid Reusable Computational Analytics Workflow
                  Management with Cloudmesh Applied to the MLCommons
                  Cloudmask Application},
  author =	 { Gregor von Laszewski and J.P. Fleischer and
                  Geoffrey C. Fox and Juri Papay and Sam Jackson},
  year =	 2023,
  archivePrefix ={arXiv},
  primaryClass = {cs.DC},
  note =	 {submitted},
  url =		 {https://arxiv.org/submit/4995901/view}
}

@misc{www-fair,
key = {fair},
  title = {FAIR Principles},
howpublished = {Web Page},
url = {https://www.go-fair.org/fair-principles/},
month =jul,
year =2023
}

@article{cloudmesh-stopwatch,
  author =        {von Laszewski, Gregor},
  journal =       {GitHub},
  month =         may,
  note ={[Accessed April 13, 2023]},
  title =         {{Cloudmesh Common StopWatch}},
  year =          {2022},
  url =           {https://github.com/cloudmesh/cloudmesh-common/blob/main/
                  cloudmesh/common/StopWatch.py},
}

@misc{www-mlcommons-research,
	title = {{MLCommons Research Working Group}},
	  howpublished  = {Web Page},
	author={{MLCommons}},
    year = {2023},
	month = jun,
	note = {[Online; accessed 23. Jun. 2023]},
	url = {https://mlcommons.org/en/groups/research}
}

@misc{www-mlcommons-science-github,
	author = {{MLCommons}},
	title = {{MLCommons Science Working Group}},
	howpublished = {GitHub},
	year = {2023},
	month = jun,
	note = {[Online; accessed 23. Jun. 2023]},
	url = {https://github.com/mlcommons/science/tree/main/benchmarks/cloudmask}
}

@inproceedings{Caruana2000OverfittingIN,
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}

@article{Li2019DeepLB,
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  year={2019}
}

@article{Domnich2021KappaMaskAC,
  title={KappaMask: AI-Based Cloudmask Processor for Sentinel-2},
  author={Marharyta Domnich and Indrek S{\"u}nter and Heido Trofimov and Olga Wold and Fariha Harun and Anton Kostiukhin and Mihkel J{\"a}rveoja and Mihkel Veske and Tanel Tamm and Kaupo Voormansik and Aire Olesk and Valentina Boccia and Nicolas Long{\'e}p{\'e} and Enrico G. Cadau},
  journal={Remote. Sens.},
  year={2021},
  volume={13},
  pages={4100}
}

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@article{Farrell2021MLPerfHA,
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  author={Steven Andrew Farrell and Murali Krishna Emani and Jacob Balma and Lukas Drescher and Aleksandr Drozd and Andreas Fink and Geoffrey Fox and David Kanter and Thorsten Kurth and Peter Mattson and Dawei Mu and Amit Ruhela and Kento Sato and Koichi Shirahata and Tsuguchika Tabaru and Aristeidis Tsaris and Jan Balewski and Benjamin Cumming and Takumi Danjo and Jens Domke and Takaaki Fukai and Naoto Fukumoto and Tatsuya Fukushi and Balazs Gerofi and Takumi Honda and Toshiyuki Imamura and Akihiko Kasagi and Kentaro Kawakami and Shuhei Kudo and Akiyoshi Kuroda and Maxime Martinasso and Satoshi Matsuoka and Henrique Mendonc and Kazuki Minami and Prabhat Ram and Takashi Sawada and Mallikarjun (Arjun) Shankar and Tom St. John and Akihiro Tabuchi and Venkatram Vishwanath and Mohamed Wahib and Masafumi Yamazaki and Junqi Yin},
  journal={2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)},
  year={2021},
  pages={33-45}
}

@article{Yan2018CloudAC,
  title={Cloud and Cloud Shadow Detection Using Multilevel Feature Fused Segmentation Network},
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}

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}

@article{Saunders1988AnIM,
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@article{Ronneberger2015UNetCN,
  title={U-Net: Convolutional Networks for Biomedical Image Segmentation},
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  journal={ArXiv},
  year={2015},
  volume={abs/1505.04597}
}

@online{www-mlcommons-science,
author = {Fox, G. and Hey, T. and Thiyagalingam, J},
title = {Science data working group of MLCommons research. Web Page.},
url = {https://mlcommons.org/en/groups/research-science/},
month = apr,
year = 2023,
urldate = {04/20/2023}
}

@online{www-sentinel92,
author = {},
title = {Sentinel-3 - Sentinel Online},
url = {https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-3},
month = apr,
year = 2023,
urldate = {04/20/2023}
}

@misc{www-lsf,
author = {{IBM}},
  title = {Introduction to IBM Spectrum LSF},
howpublished = {Web Page},
url = {https://www.ibm.com/docs/en/spectrum-lsf/10.1.0?topic=overview-lsf-introduction},
month = apr,
year = 2023
}


@misc{www-slurm,
  journal =       {Web page},
  key =           {SLURM},
  month =         apr,
  howpublished = {Web page},
  url = {https://slurm.schedmd.com},
  title =         {Homepage},
  year =          2003,
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}

@misc{github-laszewsk-mlcommons,
author = {von Laszewski, Gregor and {et.al.}},
title = {laszewsk/mlcommons: https://laszewsk.github.io/mlcommons/},
url = {https://github.com/laszewsk/mlcommons},
month = apr,
year = 2023,
urldate = {04/20/2023}
}

@online{www-greene,
author = {{New York University}},
title = {NYU Greene Supercomputer},
url = {https://www.nyu.edu/life/information-technology/research-computing-services/high-performance-computing/high-performance-computing-nyu-it/hpc-supercomputer-clusters/greene.html},
month = apr,
year = 2023 ,
urldate = {04/20/2023}
}

@misc{top500-greene,
author = {{Top500}},
  title = {Greene - ThinkSystem SR650, Xeon Gold 6240 18C 2.6GHz, Infiniband HDR},
howpublished = {Web Page},
url = {https://www.top500.org/system/179851/},
month =apr,
year = 2023
}
@InCollection{las22-cloudmesh-cc-reu,
  author = 	 {von Laszewski, Gregor and Fleischer, J.P.},
  title = {{Hybrid Multi-Cloud Analytics Services Framework}},
  booktitle = 	 {Computing for Global Challenges Symposium},
  publisher = {Online},
  year = 	 2022,
  type = 	 {Poster},
  edition = 	 {Oct. 2022},
  month = 	 jul,
  OPTaddress = 	 {University of Virginia, Charlottesville, VA},
  note = {corrected and updated Oct. 2022},
  url = {https://raw.githubusercontent.com/cloudmesh/cloudmesh-cc/main/documents/analytics-service.pdf}
}

@misc{github-cloudmesh-cc,
	author = {von Laszewski, Gregor and J.P. Fleischer},
	title = {{Hybrid Multi-Cloud Analytics Services Framework}},
	howpublished = {GitHub},
	year = {2022},
	month = oct,
	note = {[Online; accessed 14. Oct. 2022]},
	url = {https://github.com/cloudmesh/cloudmesh-cc}
}

@misc{github-mlcommons-logging,
  author={MLCommons},
  title={GitHub MLCommons Logging},
  year={2022},
  url={https://github.com/mlcommons/logging},
}


@article{las-2021-covid,
    author = {Geoffrey C. Fox and von Laszewski, Gregor and Fugang Wang and Saumyadipta Pyne},
    title = {AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates},
    journal = {Journal of Data Science},
    volume = {19},
    number = {2},
    year = {2021},
    pages = {293--313},
    doi = {10.6339/21-JDS1007},
    issn = {1680-743X},
    publisher = {School of Statistics, Renmin University of China}
}

@misc{google-meeting-notes,
	author = {Varshitha Chennamsetti and Alex Tang and Ruochen Gu and  von Laszewski, Gregor},
	title = {{NYU-MLCommons Meeting Notes}},
	howpublished = {Google Drive},
	year = {2022},
	month = oct,
	note = {[Online; accessed 25. Mar. 2023]},
	url = {https://docs.google.com/document/d/1LUuVSeLYv-717TJxtyikihLmuyf6at50FNBn57Doo_4/edit#heading=h.7p7jjuq4vbsm}
}


@inproceedings{Thiyagalingam2022AIBF-workshop,
  title={AI Benchmarking for Science: Efforts from the MLCommons Science Working Group},
  author={Jeyan Thiyagalingam and G. Laszewski and Junqi Yin and Murali Krishna Emani and Juri Papay and Gregg Barrett and Piotr Luszczek and Aristeidis Tsaris and Christine R. Kirkpatrick and Feiyi Wang and Tom Gibbs and Venkatram Vishwanath and Mallikarjun (Arjun) Shankar and Geoffrey C. Fox and Anthony J. G. Hey},
  booktitle={ISC Workshops},
  year={2022}
}

@inbook{Thiyagalingam2022AIBF,
author = {Thiyagalingam, Jeyan and von Laszewski, Gregor and Yin, Junqi and Emani, Murali and Papay, Juri and Barrett, Gregg and Luszczek, Piotr and Tsaris, Aristeidis and Kirkpatrick, Christine and Wang, Feiyi and Gibbs, Tom and Vishwanath, Venkatram and Shankar, Mallikarjun and Fox, Geoffrey and Hey, Tony},
year = {2023},
month = {01},
pages = {47-64},
title = {AI Benchmarking for Science: Efforts from the MLCommons Science Working Group},
isbn = {978-3-031-23219-0},
doi = {10.1007/978-3-031-23220-6_4}
}

@article{Merchant2005ProbabilisticPB,
  title={Probabilistic physically based cloud screening of satellite infrared imagery for operational sea surface temperature retrieval},
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  year={2005},
  volume={131}
}

@article{WIELAND2019111203,
title = {Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network},
journal = {Remote Sensing of Environment},
volume = {230},
pages = {111203},
year = {2019},
issn = {0034-4257},
doi = {https://doi.org/10.1016/j.rse.2019.05.022},
url = {https://www.sciencedirect.com/science/article/pii/S0034425719302159},
author = {Marc Wieland and Yu Li and Sandro Martinis},
keywords = {Cloud, Cloud shadow, Convolutional neural network, Landsat, Sentinel-2}
}

@InProceedings{RFB15a,
  author       = "O. Ronneberger and P.Fischer and T. Brox",
  title        = "U-Net: Convolutional Networks for Biomedical Image Segmentation",
  booktitle    = "Medical Image Computing and Computer-Assisted Intervention (MICCAI)",
  series       = "LNCS",
  volume       = "9351",
  pages        = "234--241",
  year         = "2015",
  publisher    = "Springer",
  note         = "(available on arXiv:1505.04597 [cs.CV])",
  url          = "http://lmb.informatik.uni-freiburg.de/Publications/2015/RFB15a"
}

@article{JEPPESEN2019247,
title = {A cloud detection algorithm for satellite imagery based on deep learning},
journal = {Remote Sensing of Environment},
volume = {229},
pages = {247-259},
year = {2019},
issn = {0034-4257},
doi = {https://doi.org/10.1016/j.rse.2019.03.039},
url = {https://www.sciencedirect.com/science/article/pii/S0034425719301294},
author = {Jacob Høxbroe Jeppesen and Rune Hylsberg Jacobsen and Fadil Inceoglu and Thomas Skjødeberg Toftegaard},
keywords = {Cloud detection, Optical satellite imagery, Deep learning, Open data}
}

@misc{las23-cloudmask,
title={MLCommons CloudMask Benchmark}, 
author={von Laszewski, Gregor and
Varshitha Chennamsetti and
Laiba Mehnaz and
Ruochen Gu and
Sergey Samsonau and
Juri Papaya and
Samuel Jackson and
Geoffrey C. Fox
},
howpublished={Draft Technical Report},
month=may,
year={2023},
url={https://github.com/cyberaide/mlcommons-uva-cloudmask}
}

@misc{www-mlcommons-cloudmask-results,
author = {{MLCommons}},
  title = {MLCommons cloudmask results Globus endpoint},
howpublished = {globus.org},
url = {https://app.globus.org/file-manager?origin_id=285cade7-1a2f-4fa5-bc44-88475a1fc54a&origin_path=%2F},
month =jun,
year =2023
}