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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Zhang, Tianru; Toor, Salman; Hellander, Andreas

Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning Journal Article

In: CoRR, vol. abs/2201.11668, 2022.

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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.

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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: 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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129 entries « 1 of 3 »