Andreas Hellander

Orcid: 0000-0001-7273-7923

According to our database1, Andreas Hellander authored at least 52 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Toward efficient resource utilization at edge nodes in federated learning.
Prog. Artif. Intell., June, 2024

Data management of scientific applications in a reinforcement learning-based hierarchical storage system.
Expert Syst. Appl., March, 2024

2023
Contributions of cell behavior to geometric order in embryonic cartilage.
PLoS Comput. Biol., November, 2023

Efficient Hierarchical Storage Management Empowered by Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., June, 2023

FedBot: Enhancing Privacy in Chatbots with Federated Learning.
CoRR, 2023

Accelerating Fair Federated Learning: Adaptive Federated Adam.
CoRR, 2023

Efficient Hierarchical Storage Management Empowered by Reinforcement Learning Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation.
PLoS Comput. Biol., December, 2022

Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods.
PLoS Comput. Biol., 2022

FedQAS: Privacy-aware machine reading comprehension with federated learning.
CoRR, 2022

Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning.
CoRR, 2022

CBMOS: a GPU-enabled Python framework for the numerical study of center-based models.
BMC Bioinform., 2022

Robust and integrative Bayesian neural networks for likelihood-free parameter inference.
Proceedings of the International Joint Conference on Neural Networks, 2022

Scalable federated machine learning with FEDn.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
Approaches for containerized scientific workflows in cloud environments with applications in life science.
F1000Research, 2021

Scalable federated machine learning with FEDn.
CoRR, 2021

Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators.
BMC Bioinform., 2021

Scalable machine learning-assisted model exploration and inference using Sciope.
Bioinform., 2021

Epidemiological modeling in StochSS Live!
Bioinform., 2021

2020
Smart Resource Management for Data Streaming using an Online Bin-packing Strategy.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy.
CoRR, 2019

Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning.
Bioinform., 2019

Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

2018
Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison.
CoRR, 2018

Multi-Statistic Approximate Bayesian Computation with Multi-Armed Bandits.
CoRR, 2018

BAMSI: a multi-cloud service for scalable distributed filtering of massive genome data.
BMC Bioinform., 2018

Hyperparameter Optimization for Approximate Bayesian Computation.
Proceedings of the 2018 Winter Simulation Conference, 2018

Orchestral: A Lightweight Framework for Parallel Simulations of Cell-Cell Communication.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

HarmonicIO: Scalable Data Stream Processing for Scientific Datasets.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Robustness Analysis of Spatiotemporal Models in the Presence of Extrinsic Fluctuations.
SIAM J. Appl. Math., 2017

Surrogate assisted model reduction for stochastic biochemical reaction networks.
Proceedings of the 2017 Winter Simulation Conference, 2017

SNIC Science Cloud (SSC): A National-Scale Cloud Infrastructure for Swedish Academia.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

Cost-aware Application Development and Management using CLOUD-METRIC.
Proceedings of the CLOSER 2017, 2017

2016
Analysis and Design of Jump Coefficients in Discrete Stochastic Diffusion Models.
SIAM J. Sci. Comput., 2016

MOLNs: A Cloud Platform for Interactive, Reproducible, and Scalable Spatial Stochastic Computational Experiments in Systems Biology Using PyURDME.
SIAM J. Sci. Comput., 2016

Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist.
PLoS Comput. Biol., 2016

Mesoscopic Modeling of Stochastic Reaction-Diffusion Kinetics in the Subdiffusive Regime.
Multiscale Model. Simul., 2016

2014
Local error estimates for adaptive simulation of the reaction-diffusion master equation via operator splitting.
J. Comput. Phys., 2014

Automatic and portable cloud deployment for scientific simulations.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014

2013
Scientific Analysis by Queries in Extended SPARQL over a Scalable e-Science Data Store.
Proceedings of the 9th IEEE International Conference on eScience, 2013

2012
Coupled Mesoscopic and Microscopic Simulation of Stochastic Reaction-Diffusion Processes in Mixed Dimensions.
Multiscale Model. Simul., 2012

URDME: a modular framework for stochastic simulation of reaction-transport processes in complex geometries.
BMC Syst. Biol., 2012

Reducing Complexity in Management of eScience Computations.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

Abstractions for Scaling eScience Applications to Distributed Computing Environments - A StratUm Integration Case Study in Molecular Systems Biology.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2010
Incorporating Active Transport of Cellular Cargo in Stochastic Mesoscopic Models of Living Cells.
Multiscale Model. Simul., 2010

An adaptive algorithm for simulation of stochastic reaction-diffusion processes.
J. Comput. Phys., 2010

CellMC - a multiplatform model compiler for the Cell Broadband Engine and x86.
Bioinform., 2010

2009
Simulation of Stochastic Reaction-Diffusion Processes on Unstructured Meshes.
SIAM J. Sci. Comput., 2009

2008
A Hierarchy of Approximations of the Master Equation Scaled by a Size Parameter.
J. Sci. Comput., 2008

2007
Hybrid method for the chemical master equation.
J. Comput. Phys., 2007


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