129 entries « ‹ 1 of 3
› » 2024
Fronk, Colby; Yun, Jaewoong; Singh, Prashant; Petzold, Linda
Bayesian polynomial neural networks and polynomial neural ordinary differential equations Journal Article
In: PLOS Computational Biology, 2024.
@article{fronk2023bayesian,
title = {Bayesian polynomial neural networks and polynomial neural ordinary differential equations},
author = {Colby Fronk and Jaewoong Yun and Prashant Singh and Linda Petzold},
year = {2024},
date = {2024-09-01},
urldate = {2023-01-01},
journal = {PLOS Computational Biology},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Karakulev, Aleksandr; Zachariah, Dave; Singh, Prashant
Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables Conference
Proceedings of the 41st International Conference on Machine Learning, 2024.
@conference{karakulev2023adaptive,
title = {Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables},
author = {Aleksandr Karakulev and Dave Zachariah and Prashant Singh},
url = {https://icml.cc/virtual/2024/poster/32797},
year = {2024},
date = {2024-07-25},
urldate = {2023-01-01},
booktitle = {Proceedings of the 41st International Conference on Machine Learning},
journal = {arXiv preprint arXiv:2312.00585},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Ju, Li; Zhang, Tianru; Toor, Salman; Hellander, Andreas
Accelerating Fair Federated Learning: Adaptive Federated Adam Journal Article
In: IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, pp. 1017 - 1032, 2024.
@article{DBLP:journals/corr/abs-2301-09357,
title = {Accelerating Fair Federated Learning: Adaptive Federated Adam},
author = {Li Ju and Tianru Zhang and Salman Toor and Andreas Hellander},
url = {https://ieeexplore.ieee.org/abstract/document/10584508},
doi = {10.1109/TMLCN.2024.3423648},
year = {2024},
date = {2024-07-04},
urldate = {2023-01-01},
journal = {IEEE Transactions on Machine Learning in Communications and Networking},
volume = {2},
pages = {1017 - 1032},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ju, Li; Hellander, Andreas; Spjuth, Ola
Federated learning for predicting compound mechanism of action based on image-data from cell painting Journal Article
In: Artificial Intelligence in the Life Sciences, vol. 5, pp. 100098, 2024.
@article{ju2024federated,
title = {Federated learning for predicting compound mechanism of action based on image-data from cell painting},
author = {Li Ju and Andreas Hellander and Ola Spjuth},
url = {https://www.sciencedirect.com/science/article/pii/S2667318524000059},
doi = {10.1016/j.ailsci.2024.100098},
year = {2024},
date = {2024-06-01},
journal = {Artificial Intelligence in the Life Sciences},
volume = {5},
pages = {100098},
abstract = {Having access to sufficient data is essential in order to train accurate machine learning models, but much data is not publicly available. In drug discovery this is particularly evident, as much data is withheld at pharmaceutical companies for various reasons. Federated Learning (FL) aims at training a joint model between multiple parties but without disclosing data between the parties. In this work, we leverage Federated Learning to predict compound Mechanism of Action (MoA) using fluorescence image data from cell painting. Our study evaluates the effectiveness and efficiency of FL, comparing to non-collaborative and data-sharing collaborative learning in diverse scenarios. Specifically, we investigate the impact of data heterogeneity across participants on MoA prediction, an essential concern in real-life applications of FL, and demonstrate the benefits for all involved parties. This work highlights the potential of federated learning in multi-institutional collaborative machine learning for drug discovery and assessment of chemicals, offering a promising avenue to overcome data-sharing constraints.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Having access to sufficient data is essential in order to train accurate machine learning models, but much data is not publicly available. In drug discovery this is particularly evident, as much data is withheld at pharmaceutical companies for various reasons. Federated Learning (FL) aims at training a joint model between multiple parties but without disclosing data between the parties. In this work, we leverage Federated Learning to predict compound Mechanism of Action (MoA) using fluorescence image data from cell painting. Our study evaluates the effectiveness and efficiency of FL, comparing to non-collaborative and data-sharing collaborative learning in diverse scenarios. Specifically, we investigate the impact of data heterogeneity across participants on MoA prediction, an essential concern in real-life applications of FL, and demonstrate the benefits for all involved parties. This work highlights the potential of federated learning in multi-institutional collaborative machine learning for drug discovery and assessment of chemicals, offering a promising avenue to overcome data-sharing constraints.
Cheng, Liang; Singh, Prashant; Ferranti, Francesco
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks Journal Article
In: IEEE Access, vol. 12, pp. 55218-55224, 2024.
@article{cheng2024transfer,
title = {Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks},
author = {Liang Cheng and Prashant Singh and Francesco Ferranti},
url = {https://ieeexplore.ieee.org/abstract/document/10486893},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {IEEE Access},
volume = {12},
pages = {55218-55224},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Zhang, Tianru; Gupta, Ankit; Rodr'ıguez, Mar'ıa Andre'ına Francisco; Spjuth, Ola; Hellander, Andreas; Toor, Salman
Data management of scientific applications in a reinforcement learning-based
hierarchical storage system Journal Article
In: Expert Syst. Appl., vol. 237, no. Part B, pp. 121443, 2024.
@article{DBLP:journals/eswa/ZhangGRSHT24,
title = {Data management of scientific applications in a reinforcement learning-based
hierarchical storage system},
author = {Tianru Zhang and Ankit Gupta and Mar'ıa Andre'ına Francisco Rodr'ıguez and Ola Spjuth and Andreas Hellander and Salman Toor},
url = {https://doi.org/10.1016/j.eswa.2023.121443},
doi = {10.1016/J.ESWA.2023.121443},
year = {2024},
date = {2024-01-01},
journal = {Expert Syst. Appl.},
volume = {237},
number = {Part B},
pages = {121443},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2023
Chu, Junjie; Singh, Prashant; Toor, Salman
Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities Proceedings Article
In: 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), pp. 486–492, IEEE 2023.
@inproceedings{chu2023efficient,
title = {Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities},
author = {Junjie Chu and Prashant Singh and Salman Toor},
year = {2023},
date = {2023-01-01},
booktitle = {2023 IEEE 16th International Conference on Cloud Computing (CLOUD)},
pages = {486–492},
organization = {IEEE},
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pubstate = {published},
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Zhang, Tianru; Hellander, Andreas; Toor, Salman
Efficient Hierarchical Storage Management Empowered by Reinforcement
Learning Journal Article
In: IEEE Trans. Knowl. Data Eng., vol. 35, no. 6, pp. 5780–5793, 2023.
@article{DBLP:journals/tkde/ZhangHT23,
title = {Efficient Hierarchical Storage Management Empowered by Reinforcement
Learning},
author = {Tianru Zhang and Andreas Hellander and Salman Toor},
url = {https://doi.org/10.1109/TKDE.2022.3176753},
doi = {10.1109/TKDE.2022.3176753},
year = {2023},
date = {2023-01-01},
journal = {IEEE Trans. Knowl. Data Eng.},
volume = {35},
number = {6},
pages = {5780–5793},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Zhang, Tianru; Hellander, Andreas; Toor, Salman
Efficient Hierarchical Storage Management Empowered by Reinforcement
Learning Extended Abstract Proceedings Article
In: 39th IEEE International Conference on Data Engineering, ICDE 2023,
Anaheim, CA, USA, April 3-7, 2023, pp. 3869–3870, IEEE, 2023.
@inproceedings{DBLP:conf/icde/ZhangHT23,
title = {Efficient Hierarchical Storage Management Empowered by Reinforcement
Learning Extended Abstract},
author = {Tianru Zhang and Andreas Hellander and Salman Toor},
url = {https://doi.org/10.1109/ICDE55515.2023.00361},
doi = {10.1109/ICDE55515.2023.00361},
year = {2023},
date = {2023-01-01},
booktitle = {39th IEEE International Conference on Data Engineering, ICDE 2023,
Anaheim, CA, USA, April 3-7, 2023},
pages = {3869–3870},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Ait-Mlouk, Addi; Alawadi, Sadi; Toor, Salman; Hellander, Andreas
FedBot: Enhancing Privacy in Chatbots with Federated Learning Journal Article
In: CoRR, vol. abs/2304.03228, 2023.
@article{DBLP:journals/corr/abs-2304-03228,
title = {FedBot: Enhancing Privacy in Chatbots with Federated Learning},
author = {Addi Ait-Mlouk and Sadi Alawadi and Salman Toor and Andreas Hellander},
url = {https://doi.org/10.48550/arXiv.2304.03228},
doi = {10.48550/ARXIV.2304.03228},
year = {2023},
date = {2023-01-01},
journal = {CoRR},
volume = {abs/2304.03228},
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Alawadi, Sadi; Ait-Mlouk, Addi; Toor, Salman; Hellander, Andreas
Toward efficient resource utilization at edge nodes in federated learning Journal Article
In: CoRR, vol. abs/2309.10367, 2023.
@article{DBLP:journals/corr/abs-2309-10367,
title = {Toward efficient resource utilization at edge nodes in federated learning},
author = {Sadi Alawadi and Addi Ait-Mlouk and Salman Toor and Andreas Hellander},
url = {https://doi.org/10.48550/arXiv.2309.10367},
doi = {10.48550/ARXIV.2309.10367},
year = {2023},
date = {2023-01-01},
journal = {CoRR},
volume = {abs/2309.10367},
keywords = {},
pubstate = {published},
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Chu, Junjie; Singh, Prashant; Toor, Salman
Efficient Resource Scheduling for Distributed Infrastructures Using
Negotiation Capabilities Proceedings Article
In: 16th IEEE International Conference on Cloud Computing, CLOUD 2023,
Chicago, IL, USA, July 2-8, 2023, pp. 486–492, IEEE, 2023.
@inproceedings{DBLP:conf/IEEEcloud/ChuST23,
title = {Efficient Resource Scheduling for Distributed Infrastructures Using
Negotiation Capabilities},
author = {Junjie Chu and Prashant Singh and Salman Toor},
url = {https://doi.org/10.1109/CLOUD60044.2023.00065},
doi = {10.1109/CLOUD60044.2023.00065},
year = {2023},
date = {2023-01-01},
booktitle = {16th IEEE International Conference on Cloud Computing, CLOUD 2023,
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pages = {486–492},
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Al-Naday, Mays F.; Reed, Martin J.; Dobre, Vlad; Toor, Salman; Volckaert, Bruno; Turck, Filip De
Service-based Federated Deep Reinforcement Learning for Anomaly Detection
in Fog Ecosystems Proceedings Article
In: Lopez, Diego; Montpetit, Marie-José; Cerroni, Walter; Mauro, Mario Di; Borylo, Piotr (Ed.): 26th Conference on Innovation in Clouds, Internet and Networks, ICIN
2023, Paris, France, March 6-9, 2023, pp. 121–128, IEEE, 2023.
@inproceedings{DBLP:conf/icin/AlNadayRDTVT23,
title = {Service-based Federated Deep Reinforcement Learning for Anomaly Detection
in Fog Ecosystems},
author = {Mays F. Al-Naday and Martin J. Reed and Vlad Dobre and Salman Toor and Bruno Volckaert and Filip De Turck},
editor = {Diego Lopez and Marie-José Montpetit and Walter Cerroni and Mario Di Mauro and Piotr Borylo},
url = {https://doi.org/10.1109/ICIN56760.2023.10073495},
doi = {10.1109/ICIN56760.2023.10073495},
year = {2023},
date = {2023-01-01},
booktitle = {26th Conference on Innovation in Clouds, Internet and Networks, ICIN
2023, Paris, France, March 6-9, 2023},
pages = {121–128},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
2022
Jiang, Richard; Singh, Prashant; Wrede, Fredrik; Hellander, Andreas; Petzold, Linda
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods Journal Article
In: PLoS computational biology, vol. 18, no. 1, pp. e1009830, 2022.
@article{jiang2022identification,
title = {Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods},
author = {Richard Jiang and Prashant Singh and Fredrik Wrede and Andreas Hellander and Linda Petzold},
year = {2022},
date = {2022-01-01},
journal = {PLoS computational biology},
volume = {18},
number = {1},
pages = {e1009830},
publisher = {Public Library of Science San Francisco, CA USA},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Coulier, Adrien; Singh, Prashant; Sturrock, Marc; Hellander, Andreas
Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation Journal Article
In: PLOS Computational Biology, vol. 18, no. 12, pp. e1010683, 2022.
@article{coulier2022systematic,
title = {Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation},
author = {Adrien Coulier and Prashant Singh and Marc Sturrock and Andreas Hellander},
year = {2022},
date = {2022-01-01},
journal = {PLOS Computational Biology},
volume = {18},
number = {12},
pages = {e1010683},
publisher = {Public Library of Science San Francisco, CA USA},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Wrede, Fredrik; Eriksson, Robin; Jiang, Richard; Petzold, Linda; Engblom, Stefan; Hellander, Andreas; Singh, Prashant
Robust and integrative Bayesian neural networks for likelihood-free parameter inference Proceedings Article
In: 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1–10, IEEE 2022.
@inproceedings{wrede2022robust,
title = {Robust and integrative Bayesian neural networks for likelihood-free parameter inference},
author = {Fredrik Wrede and Robin Eriksson and Richard Jiang and Linda Petzold and Stefan Engblom and Andreas Hellander and Prashant Singh},
year = {2022},
date = {2022-01-01},
booktitle = {2022 International Joint Conference on Neural Networks (IJCNN)},
pages = {1–10},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Ekmefjord, Morgan; Ait-Mlouk, Addi; Alawadi, Sadi; Åkesson, Mattias; Singh, Prashant; Spjuth, Ola; Toor, Salman; Hellander, Andreas
Scalable federated machine learning with fedn Proceedings Article
In: 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pp. 555–564, IEEE 2022.
@inproceedings{ekmefjord2022scalable,
title = {Scalable federated machine learning with fedn},
author = {Morgan Ekmefjord and Addi Ait-Mlouk and Sadi Alawadi and Mattias Åkesson and Prashant Singh and Ola Spjuth and Salman Toor and Andreas Hellander},
year = {2022},
date = {2022-01-01},
booktitle = {2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)},
pages = {555–564},
organization = {IEEE},
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Javed, Omar; Singh, Prashant; Reger, Giles; Toor, Salman
To test, or not to test: A proactive approach for deciding complete performance test initiation Proceedings Article
In: 2022 IEEE International Conference on Big Data (Big Data), pp. 4758–4767, IEEE 2022.
@inproceedings{javed2022test,
title = {To test, or not to test: A proactive approach for deciding complete performance test initiation},
author = {Omar Javed and Prashant Singh and Giles Reger and Salman Toor},
year = {2022},
date = {2022-01-01},
booktitle = {2022 IEEE International Conference on Big Data (Big Data)},
pages = {4758–4767},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Mathias, Sonja; Coulier, Adrien; Hellander, Andreas
CBMOS: a GPU-enabled Python framework for the numerical study of
center-based models Journal Article
In: BMC Bioinform., vol. 23, no. 1, pp. 55, 2022.
@article{DBLP:journals/bmcbi/MathiasCH22,
title = {CBMOS: a GPU-enabled Python framework for the numerical study of
center-based models},
author = {Sonja Mathias and Adrien Coulier and Andreas Hellander},
url = {https://doi.org/10.1186/s12859-022-04575-4},
doi = {10.1186/S12859-022-04575-4},
year = {2022},
date = {2022-01-01},
journal = {BMC Bioinform.},
volume = {23},
number = {1},
pages = {55},
keywords = {},
pubstate = {published},
tppubtype = {article}
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Jiang, Richard M.; Singh, Prashant; Wrede, Fredrik; Hellander, Andreas; Petzold, Linda R.
Identification of dynamic mass-action biochemical reaction networks
using sparse Bayesian methods Journal Article
In: PLoS Comput. Biol., vol. 18, no. 1, 2022.
@article{DBLP:journals/ploscb/JiangSWHP22,
title = {Identification of dynamic mass-action biochemical reaction networks
using sparse Bayesian methods},
author = {Richard M. Jiang and Prashant Singh and Fredrik Wrede and Andreas Hellander and Linda R. Petzold},
url = {https://doi.org/10.1371/journal.pcbi.1009830},
doi = {10.1371/JOURNAL.PCBI.1009830},
year = {2022},
date = {2022-01-01},
journal = {PLoS Comput. Biol.},
volume = {18},
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Coulier, Adrien; Singh, Prashant; Sturrock, Marc; Hellander, Andreas
Systematic comparison of modeling fidelity levels and parameter inference
settings applied to negative feedback gene regulation Journal Article
In: PLoS Comput. Biol., vol. 18, no. 12, pp. 1010683, 2022.
@article{DBLP:journals/ploscb/CoulierSSH22,
title = {Systematic comparison of modeling fidelity levels and parameter inference
settings applied to negative feedback gene regulation},
author = {Adrien Coulier and Prashant Singh and Marc Sturrock and Andreas Hellander},
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doi = {10.1371/JOURNAL.PCBI.1010683},
year = {2022},
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Åkesson, Mattias; Singh, Prashant; Wrede, Fredrik; Hellander, Andreas
Convolutional Neural Networks as Summary Statistics for Approximate
Bayesian Computation Journal Article
In: IEEE ACM Trans. Comput. Biol. Bioinform., vol. 19, no. 6, pp. 3353–3365, 2022.
@article{DBLP:journals/tcbb/AkessonSWH22,
title = {Convolutional Neural Networks as Summary Statistics for Approximate
Bayesian Computation},
author = {Mattias Åkesson and Prashant Singh and Fredrik Wrede and Andreas Hellander},
url = {https://doi.org/10.1109/TCBB.2021.3108695},
doi = {10.1109/TCBB.2021.3108695},
year = {2022},
date = {2022-01-01},
journal = {IEEE ACM Trans. Comput. Biol. Bioinform.},
volume = {19},
number = {6},
pages = {3353–3365},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ekmefjord, Morgan; Ait-Mlouk, Addi; Alawadi, Sadi; Åkesson, Mattias; Singh, Prashant; Spjuth, Ola; Toor, Salman; Hellander, Andreas
Scalable federated machine learning with FEDn Proceedings Article
In: 22nd IEEE International Symposium on Cluster, Cloud and Internet
Computing, CCGrid 2022, Taormina, Italy, May 16-19, 2022, pp. 555–564, IEEE, 2022.
@inproceedings{DBLP:conf/ccgrid/EkmefjordAAASST22,
title = {Scalable federated machine learning with FEDn},
author = {Morgan Ekmefjord and Addi Ait-Mlouk and Sadi Alawadi and Mattias Åkesson and Prashant Singh and Ola Spjuth and Salman Toor and Andreas Hellander},
url = {https://doi.org/10.1109/CCGrid54584.2022.00065},
doi = {10.1109/CCGRID54584.2022.00065},
year = {2022},
date = {2022-01-01},
booktitle = {22nd IEEE International Symposium on Cluster, Cloud and Internet
Computing, CCGrid 2022, Taormina, Italy, May 16-19, 2022},
pages = {555–564},
publisher = {IEEE},
keywords = {},
pubstate = {published},
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}
Wrede, Fredrik; Eriksson, Robin; Jiang, Richard M.; Petzold, Linda R.; Engblom, Stefan; Hellander, Andreas; Singh, Prashant
Robust and integrative Bayesian neural networks for likelihood-free
parameter inference Proceedings Article
In: International Joint Conference on Neural Networks, IJCNN 2022, Padua,
Italy, July 18-23, 2022, pp. 1–10, IEEE, 2022.
@inproceedings{DBLP:conf/ijcnn/WredeEJPEHS22,
title = {Robust and integrative Bayesian neural networks for likelihood-free
parameter inference},
author = {Fredrik Wrede and Robin Eriksson and Richard M. Jiang and Linda R. Petzold and Stefan Engblom and Andreas Hellander and Prashant Singh},
url = {https://doi.org/10.1109/IJCNN55064.2022.9892800},
doi = {10.1109/IJCNN55064.2022.9892800},
year = {2022},
date = {2022-01-01},
booktitle = {International Joint Conference on Neural Networks, IJCNN 2022, Padua,
Italy, July 18-23, 2022},
pages = {1–10},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Zhang, Tianru; Toor, Salman; Hellander, Andreas
Efficient Hierarchical Storage Management Framework Empowered by Reinforcement
Learning Journal Article
In: CoRR, vol. abs/2201.11668, 2022.
@article{DBLP:journals/corr/abs-2201-11668,
title = {Efficient Hierarchical Storage Management Framework Empowered by Reinforcement
Learning},
author = {Tianru Zhang and Salman Toor and Andreas Hellander},
url = {https://arxiv.org/abs/2201.11668},
year = {2022},
date = {2022-01-01},
journal = {CoRR},
volume = {abs/2201.11668},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ait-Mlouk, Addi; Alawadi, Sadi; Toor, Salman; Hellander, Andreas
FedQAS: Privacy-aware machine reading comprehension with federated
learning Journal Article
In: CoRR, vol. abs/2202.04742, 2022.
@article{DBLP:journals/corr/abs-2202-04742,
title = {FedQAS: Privacy-aware machine reading comprehension with federated
learning},
author = {Addi Ait-Mlouk and Sadi Alawadi and Salman Toor and Andreas Hellander},
url = {https://arxiv.org/abs/2202.04742},
year = {2022},
date = {2022-01-01},
journal = {CoRR},
volume = {abs/2202.04742},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Javed, Omar; Singh, Prashant; Reger, Giles; Toor, Salman
To test, or not to test: A proactive approach for deciding complete
performance test initiation Proceedings Article
In: Tsumoto, Shusaku; Ohsawa, Yukio; Chen, Lei; Poel, Dirk Van; Hu, Xiaohua; Motomura, Yoichi; Takagi, Takuya; Wu, Lingfei; Xie, Ying; Abe, Akihiro; Raghavan, Vijay (Ed.): IEEE International Conference on Big Data, Big Data 2022, Osaka,
Japan, December 17-20, 2022, pp. 4758–4767, IEEE, 2022.
@inproceedings{DBLP:conf/bigdataconf/JavedSRT22,
title = {To test, or not to test: A proactive approach for deciding complete
performance test initiation},
author = {Omar Javed and Prashant Singh and Giles Reger and Salman Toor},
editor = {Shusaku Tsumoto and Yukio Ohsawa and Lei Chen and Dirk Van Poel and Xiaohua Hu and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan},
url = {https://doi.org/10.1109/BigData55660.2022.10020543},
doi = {10.1109/BIGDATA55660.2022.10020543},
year = {2022},
date = {2022-01-01},
booktitle = {IEEE International Conference on Big Data, Big Data 2022, Osaka,
Japan, December 17-20, 2022},
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publisher = {IEEE},
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}
Javed, Omar; Singh, Prashant; Reger, Giles; Toor, Salman
To test, or not to test: A proactive approach for deciding complete
performance test initiation Journal Article
In: CoRR, vol. abs/2205.14749, 2022.
@article{DBLP:journals/corr/abs-2205-14749,
title = {To test, or not to test: A proactive approach for deciding complete
performance test initiation},
author = {Omar Javed and Prashant Singh and Giles Reger and Salman Toor},
url = {https://doi.org/10.48550/arXiv.2205.14749},
doi = {10.48550/ARXIV.2205.14749},
year = {2022},
date = {2022-01-01},
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Clouard, Camille; Ausmees, Kristiina; Nettelblad, Carl
A joint use of pooling and imputation for genotyping SNPs Journal Article
In: BMC Bioinform., vol. 23, no. 1, pp. 421, 2022.
@article{DBLP:journals/bmcbi/ClouardAN22,
title = {A joint use of pooling and imputation for genotyping SNPs},
author = {Camille Clouard and Kristiina Ausmees and Carl Nettelblad},
url = {https://doi.org/10.1186/s12859-022-04974-7},
doi = {10.1186/S12859-022-04974-7},
year = {2022},
date = {2022-01-01},
journal = {BMC Bioinform.},
volume = {23},
number = {1},
pages = {421},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2021
Singh, Prashant; Wrede, Fredrik; Hellander, Andreas
Scalable machine learning-assisted model exploration and inference using Sciope Journal Article
In: Bioinformatics, vol. 37, no. 2, pp. 279–281, 2021.
@article{singh2021scalable,
title = {Scalable machine learning-assisted model exploration and inference using Sciope},
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Jiang, Richard; Jacob, Bruno; Geiger, Matthew; Matthew, Sean; Rumsey, Bryan; Singh, Prashant; Wrede, Fredrik; Yi, Tau-Mu; Drawert, Brian; Hellander, Andreas; others,
Epidemiological modeling in stochss live! Journal Article
In: Bioinformatics, vol. 37, no. 17, pp. 2787–2788, 2021.
@article{jiang2021epidemiological,
title = {Epidemiological modeling in stochss live!},
author = {Richard Jiang and Bruno Jacob and Matthew Geiger and Sean Matthew and Bryan Rumsey and Prashant Singh and Fredrik Wrede and Tau-Mu Yi and Brian Drawert and Andreas Hellander and others},
year = {2021},
date = {2021-01-01},
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Akesson, Mattias; Singh, Prashant; Wrede, Fredrik; Hellander, Andreas
Convolutional neural networks as summary statistics for approximate bayesian computation Journal Article
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021.
@article{akesson2021convolutional,
title = {Convolutional neural networks as summary statistics for approximate bayesian computation},
author = {Mattias Akesson and Prashant Singh and Fredrik Wrede and Andreas Hellander},
year = {2021},
date = {2021-01-01},
journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},
publisher = {IEEE},
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Jiang, Richard M; Wrede, Fredrik; Singh, Prashant; Hellander, Andreas; Petzold, Linda R
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators Journal Article
In: BMC bioinformatics, vol. 22, no. 1, pp. 339, 2021.
@article{jiang2021accelerated,
title = {Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators},
author = {Richard M Jiang and Fredrik Wrede and Prashant Singh and Andreas Hellander and Linda R Petzold},
year = {2021},
date = {2021-01-01},
journal = {BMC bioinformatics},
volume = {22},
number = {1},
pages = {339},
publisher = {BioMed Central London},
keywords = {},
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tppubtype = {article}
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Ju, Li; Singh, Prashant; Toor, Salman
Proactive autoscaling for edge computing systems with kubernetes Proceedings Article
In: Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion, pp. 1–8, 2021.
@inproceedings{ju2021proactive,
title = {Proactive autoscaling for edge computing systems with kubernetes},
author = {Li Ju and Prashant Singh and Salman Toor},
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Singh, Prashant; Wrede, Fredrik; Hellander, Andreas
Scalable machine learning-assisted model exploration and inference
using Sciope Journal Article
In: Bioinform., vol. 37, no. 2, pp. 279–281, 2021.
@article{DBLP:journals/bioinformatics/SinghWH21,
title = {Scalable machine learning-assisted model exploration and inference
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Jiang, Richard M.; Jacob, Bruno; Geiger, Matthew; Matthew, Sean; Rumsey, Bryan; Singh, Prashant; Wrede, Fredrik; Yi, Tau-Mu; Drawert, Brian; Hellander, Andreas; Petzold, Linda R.
Epidemiological modeling in StochSS Live! Journal Article
In: Bioinform., vol. 37, no. 17, pp. 2787–2788, 2021.
@article{DBLP:journals/bioinformatics/JiangJGMRSWYDHP21,
title = {Epidemiological modeling in StochSS Live!},
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Jiang, Richard M.; Wrede, Fredrik; Singh, Prashant; Hellander, Andreas; Petzold, Linda R.
Accelerated regression-based summary statistics for discrete stochastic
systems via approximate simulators Journal Article
In: BMC Bioinform., vol. 22, no. 1, pp. 339, 2021.
@article{DBLP:journals/bmcbi/JiangWSHP21,
title = {Accelerated regression-based summary statistics for discrete stochastic
systems via approximate simulators},
author = {Richard M. Jiang and Fredrik Wrede and Prashant Singh and Andreas Hellander and Linda R. Petzold},
url = {https://doi.org/10.1186/s12859-021-04255-9},
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Wrede, Fredrik; Eriksson, Robin; Jiang, Richard M.; Petzold, Linda R.; Engblom, Stefan; Hellander, Andreas; Singh, Prashant
Robust and integrative Bayesian neural networks for likelihood-free
parameter inference Journal Article
In: CoRR, vol. abs/2102.06521, 2021.
@article{DBLP:journals/corr/abs-2102-06521,
title = {Robust and integrative Bayesian neural networks for likelihood-free
parameter inference},
author = {Fredrik Wrede and Robin Eriksson and Richard M. Jiang and Linda R. Petzold and Stefan Engblom and Andreas Hellander and Prashant Singh},
url = {https://arxiv.org/abs/2102.06521},
year = {2021},
date = {2021-01-01},
journal = {CoRR},
volume = {abs/2102.06521},
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Ekmefjord, Morgan; Ait-Mlouk, Addi; Alawadi, Sadi; Åkesson, Mattias; Stoyanova, Desislava; Spjuth, Ola; Toor, Salman; Hellander, Andreas
Scalable federated machine learning with FEDn Journal Article
In: CoRR, vol. abs/2103.00148, 2021.
@article{DBLP:journals/corr/abs-2103-00148,
title = {Scalable federated machine learning with FEDn},
author = {Morgan Ekmefjord and Addi Ait-Mlouk and Sadi Alawadi and Mattias Åkesson and Desislava Stoyanova and Ola Spjuth and Salman Toor and Andreas Hellander},
url = {https://arxiv.org/abs/2103.00148},
year = {2021},
date = {2021-01-01},
journal = {CoRR},
volume = {abs/2103.00148},
keywords = {},
pubstate = {published},
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Spjuth, Ola; Capuccini, Marco; Carone, Matteo; Larsson, Anders; Schaal, Wesley; Novella, Jon Ander; Stein, Oliver; Ekmefjord, Morgan; Tommaso, Paolo Di; Floden, Evan W.; Notredame, Cédric; Moreno, Pablo A.; Hellander, Andreas; Khoonsari, Payam Emami; Herman, Stephanie; Kultima, Kim; Lampa, Samuel
Approaches for containerized scientific workflows in cloud environments
with applications in life science Journal Article
In: F1000Research, vol. 10, pp. 513, 2021.
@article{DBLP:journals/f1000research/SpjuthCCLSNSETFNMHKHKL21,
title = {Approaches for containerized scientific workflows in cloud environments
with applications in life science},
author = {Ola Spjuth and Marco Capuccini and Matteo Carone and Anders Larsson and Wesley Schaal and Jon Ander Novella and Oliver Stein and Morgan Ekmefjord and Paolo Di Tommaso and Evan W. Floden and Cédric Notredame and Pablo A. Moreno and Andreas Hellander and Payam Emami Khoonsari and Stephanie Herman and Kim Kultima and Samuel Lampa},
url = {https://doi.org/10.12688/f1000research.53698.1},
doi = {10.12688/F1000RESEARCH.53698.1},
year = {2021},
date = {2021-01-01},
journal = {F1000Research},
volume = {10},
pages = {513},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Morsbach, Felix; Toor, Salman
DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework
Empowered by Blockchain Proceedings Article
In: Gai, Keke; Choo, Kim-Kwang Raymond (Ed.): BSCI '21: Proceedings of the 3rd ACM International Symposium on
Blockchain and Secure Critical Infrastructure, Virtual Event, Hong
Kong, June 7, 2021, pp. 61–70, ACM, 2021.
@inproceedings{DBLP:conf/bsci/MorsbachT21,
title = {DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework
Empowered by Blockchain},
author = {Felix Morsbach and Salman Toor},
editor = {Keke Gai and Kim-Kwang Raymond Choo},
url = {https://doi.org/10.1145/3457337.3457842},
doi = {10.1145/3457337.3457842},
year = {2021},
date = {2021-01-01},
booktitle = {BSCI '21: Proceedings of the 3rd ACM International Symposium on
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pages = {61–70},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Javed, Omar; Toor, Salman
An Evaluation of Container Security Vulnerability Detection Tools Proceedings Article
In: ICCBDC 2021: 5th International Conference on Cloud and Big Data
Computing, Liverpool, United Kingdom, August 13 - 15, 2021, pp. 95–101, ACM, 2021.
@inproceedings{DBLP:conf/iccbdc/JavedT21,
title = {An Evaluation of Container Security Vulnerability Detection Tools},
author = {Omar Javed and Salman Toor},
url = {https://doi.org/10.1145/3481646.3481661},
doi = {10.1145/3481646.3481661},
year = {2021},
date = {2021-01-01},
booktitle = {ICCBDC 2021: 5th International Conference on Cloud and Big Data
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}
Ju, Li; Singh, Prashant; Toor, Salman
Proactive autoscaling for edge computing systems with kubernetes Proceedings Article
In: Bittencourt, Luiz F.; Sill, Alan (Ed.): UCC '21: 2021 IEEE/ACM 14th International Conference on Utility
and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021
- Companion Volume, pp. 22:1–22:8, ACM, 2021.
@inproceedings{DBLP:conf/ucc/JuST21,
title = {Proactive autoscaling for edge computing systems with kubernetes},
author = {Li Ju and Prashant Singh and Salman Toor},
editor = {Luiz F. Bittencourt and Alan Sill},
url = {https://doi.org/10.1145/3492323.3495588},
doi = {10.1145/3492323.3495588},
year = {2021},
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Javed, Omar; Toor, Salman
Understanding the Quality of Container Security Vulnerability Detection
Tools Journal Article
In: CoRR, vol. abs/2101.03844, 2021.
@article{DBLP:journals/corr/abs-2101-03844,
title = {Understanding the Quality of Container Security Vulnerability Detection
Tools},
author = {Omar Javed and Salman Toor},
url = {https://arxiv.org/abs/2101.03844},
year = {2021},
date = {2021-01-01},
journal = {CoRR},
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Ju, Li; Singh, Prashant; Toor, Salman
Proactive Autoscaling for Edge Computing Systems with Kubernetes Journal Article
In: CoRR, vol. abs/2112.10127, 2021.
@article{DBLP:journals/corr/abs-2112-10127,
title = {Proactive Autoscaling for Edge Computing Systems with Kubernetes},
author = {Li Ju and Prashant Singh and Salman Toor},
url = {https://arxiv.org/abs/2112.10127},
year = {2021},
date = {2021-01-01},
journal = {CoRR},
volume = {abs/2112.10127},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Shao, Yunqi; Dietrich, Florian M.; Nettelblad, Carl; Zhang, Chao
Training Algorithm Matters for the Performance of Neural Network Potential Journal Article
In: CoRR, vol. abs/2109.03769, 2021.
@article{DBLP:journals/corr/abs-2109-03769,
title = {Training Algorithm Matters for the Performance of Neural Network Potential},
author = {Yunqi Shao and Florian M. Dietrich and Carl Nettelblad and Chao Zhang},
url = {https://arxiv.org/abs/2109.03769},
year = {2021},
date = {2021-01-01},
journal = {CoRR},
volume = {abs/2109.03769},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2020
Singh, Prashant; Elamin, Mona Mohamed; Toor, Salman
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets Proceedings Article
In: 2020 IEEE Green Technologies Conference (GreenTech), pp. 109–114, IEEE 2020.
@inproceedings{singh2020towards,
title = {Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets},
author = {Prashant Singh and Mona Mohamed Elamin and Salman Toor},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE Green Technologies Conference (GreenTech)},
pages = {109–114},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stein, Oliver; Blamey, Ben; Karlsson, Johan; Sabirsh, Alan; Spjuth, Ola; Hellander, Andreas; Toor, Salman
Smart Resource Management for Data Streaming using an Online Bin-packing
Strategy Proceedings Article
In: Wu, Xintao; Jermaine, Chris; Xiong, Li; Hu, Xiaohua; Kotevska, Olivera; Lu, Siyuan; Xu, Weija; Aluru, Srinivas; Zhai, Chengxiang; Al-Masri, Eyhab; Chen, Zhiyuan; Saltz, Jeff (Ed.): 2020 IEEE International Conference on Big Data (IEEE BigData 2020),
Atlanta, GA, USA, December 10-13, 2020, pp. 2207–2216, IEEE, 2020.
@inproceedings{DBLP:conf/bigdataconf/SteinBKSSHT20,
title = {Smart Resource Management for Data Streaming using an Online Bin-packing
Strategy},
author = {Oliver Stein and Ben Blamey and Johan Karlsson and Alan Sabirsh and Ola Spjuth and Andreas Hellander and Salman Toor},
editor = {Xintao Wu and Chris Jermaine and Li Xiong and Xiaohua Hu and Olivera Kotevska and Siyuan Lu and Weija Xu and Srinivas Aluru and Chengxiang Zhai and Eyhab Al-Masri and Zhiyuan Chen and Jeff Saltz},
url = {https://doi.org/10.1109/BigData50022.2020.9378241},
doi = {10.1109/BIGDATA50022.2020.9378241},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE International Conference on Big Data (IEEE BigData 2020),
Atlanta, GA, USA, December 10-13, 2020},
pages = {2207–2216},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Stein, Oliver; Blamey, Ben; Karlsson, Johan; Sabirsh, Alan; Spjuth, Ola; Hellander, Andreas; Toor, Salman
Smart Resource Management for Data Streaming using an Online Bin-packing
Strategy Journal Article
In: CoRR, vol. abs/2001.10865, 2020.
@article{DBLP:journals/corr/abs-2001-10865,
title = {Smart Resource Management for Data Streaming using an Online Bin-packing
Strategy},
author = {Oliver Stein and Ben Blamey and Johan Karlsson and Alan Sabirsh and Ola Spjuth and Andreas Hellander and Salman Toor},
url = {https://arxiv.org/abs/2001.10865},
year = {2020},
date = {2020-01-01},
journal = {CoRR},
volume = {abs/2001.10865},
keywords = {},
pubstate = {published},
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}
Åkesson, Mattias; Singh, Prashant; Wrede, Fredrik; Hellander, Andreas
Convolutional Neural Networks as Summary Statistics for Approximate
Bayesian Computation Journal Article
In: CoRR, vol. abs/2001.11760, 2020.
@article{DBLP:journals/corr/abs-2001-11760,
title = {Convolutional Neural Networks as Summary Statistics for Approximate
Bayesian Computation},
author = {Mattias Åkesson and Prashant Singh and Fredrik Wrede and Andreas Hellander},
url = {https://arxiv.org/abs/2001.11760},
year = {2020},
date = {2020-01-01},
journal = {CoRR},
volume = {abs/2001.11760},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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