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Nicola J. Ferrier
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Publications
- 2023
- [j10]Eric Schwenker, Weixin Jiang, Trevor Spreadbury, Nicola J. Ferrier, Oliver Cossairt, Maria K. Y. Chan:
EXSCLAIM!: Harnessing materials science literature for self-labeled microscopy datasets. Patterns 4(11): 100843 (2023) - [c50]Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen:
Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. SC Workshops 2023: 862-867 - [i10]Samir Rajani, Dario Dematties, Nathaniel Hudson, Kyle Chard, Nicola J. Ferrier, Rajesh Sankaran, Peter H. Beckman:
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices. CoRR abs/2308.14658 (2023) - [i9]Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen:
Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. CoRR abs/2312.09888 (2023) - 2022
- [j9]Charlie Catlett, Pete Beckman, Nicola J. Ferrier, Michael E. Papka, Rajesh Sankaran, Jeff Solin, Valerie E. Taylor, Douglas Pancoast, Daniel A. Reed:
Hands-On Computer Science: The Array of Things Experimental Urban Instrument. Comput. Sci. Eng. 24(1): 57-63 (2022) - [j8]Yongho Kim, Seongha Park, Sean Shahkarami, Rajesh Sankaran, Nicola J. Ferrier, Pete Beckman:
Goal-driven scheduling model in edge computing for smart city applications. J. Parallel Distributed Comput. 167: 97-108 (2022) - [c49]Isaac Nealey, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Silvio Rizzi, Jurgen Schulze:
Sort-Last In-Transit Data Visualization with SENSEI, Catalyst, and Unreal Engine. LDAV 2022: 1-2 - [c48]Nazariy Tishchenko, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi, Jifu Tan:
Toward Bi-directional In Situ Visualization and Analysis of Blood Flow Simulations With Dynamic Deforming Walls. LDAV 2022: 1-2 - [c47]Isaac Nealey, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi:
Cinema Transfer: A Containerized Visualization Workflow. ISC Workshops 2022: 324-343 - 2021
- [c46]Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Nicola J. Ferrier, Maria K. Y. Chan, Oliver Cossairt:
A Two-Stage Framework for Compound Figure Separation. ICIP 2021: 1204-1208 - [c45]Enrique Nueve, Sean Shahkarami, Seongha Park, Nicola J. Ferrier:
Addressing the Constraints of Active Learning on the Edge. IPDPS Workshops 2021: 845-849 - [c44]Anthony Bucaro, Connor Murphy, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi, Jifu Tan:
Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis. LDAV 2021: 88-89 - [i8]Weixin Jiang, Eric Schwenker, Trevor Spreadbury, Nicola J. Ferrier, Maria K. Y. Chan, Oliver Cossairt:
A Two-stage Framework for Compound Figure Separation. CoRR abs/2101.09903 (2021) - [i7]Eric Schwenker, Weixin Jiang, Trevor Spreadbury, Nicola J. Ferrier, Oliver Cossairt, Maria K. Y. Chan:
EXSCLAIM! - An automated pipeline for the construction of labeled materials imaging datasets from literature. CoRR abs/2103.10631 (2021) - 2020
- [j7]Charlie Catlett, Peter H. Beckman, Nicola J. Ferrier, Howard C. Nusbaum, Michael E. Papka, Marc G. Berman, Rajesh Sankaran:
Measuring Cities with Software-Defined Sensors. J. Soc. Comput. 1(1): 14-27 (2020) - [c43]Burlen Loring, Matthew Wolf, James Kress, Sergei Shudler, Junmin Gu, Silvio Rizzi, Jeremy Logan, Nicola J. Ferrier, E. Wes Bethel:
Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization. EGPGV@Eurographics/EuroVis 2020: 35-45 - [c42]Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keçeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier:
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data. XLOOP@SC 2020: 16-22 - [i6]Rafael Vescovi, Hanyu Li, Jeffery Kinnison, Murat Keçeli, Misha Salim, Narayanan Kasthuri, Thomas D. Uram, Nicola J. Ferrier:
Toward an Automated HPC Pipeline for Processing Large Scale Electron Microscopy Data. CoRR abs/2011.03204 (2020) - 2019
- [c41]Sergei Shudler, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Saumil Patel, Silvio Rizzi:
Fast Mesh Validation in Combustion Simulations through In-Situ Visualization. EGPGV@EuroVis 2019: 7-16 - [c40]Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman:
Training on the Edge: The why and the how. IPDPS Workshops 2019: 899-903 - [c39]Sergei Shudler, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Silvio Rizzi:
Spack meets singularity: creating movable in-situ analysis stacks with ease. ISAV@SC 2019: 34-38 - [c38]Wushi Dong, Nicola J. Ferrier, Narayanan Kasthuri, Peter Littlewood, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Elise Jennings, Samuel Flender, Thomas D. Uram, Venkatram Vishwanath:
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. DLS@SC 2019: 52-61 - [i5]Navjot Kukreja, Alena Shilova, Olivier Beaumont, Jan Hückelheim, Nicola J. Ferrier, Paul D. Hovland, Gerard Gorman:
Training on the Edge: The why and the how. CoRR abs/1903.03051 (2019) - [i4]Wushi Dong, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Thomas D. Uram, Venkatram Vishwanath, Bobby Kasthuri, Nicola J. Ferrier, Peter Littlewood:
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. CoRR abs/1905.06236 (2019) - 2018
- [c37]Yan Zhang, G. M. Dilshan Godaliyadda, Nicola J. Ferrier, Emine Begum Gulsoy, Charles A. Bouman, Charudatta Phatak:
SLADS-Net: Supervised Learning Approach for Dynamic Sampling using Deep Neural Networks. Computational Imaging 2018 - [c36]Seunghwan Yoo, Pablo Ruiz, Xiang Huang, Kuan He, Nicola J. Ferrier, Mark Hereld, Alan Selewa, Matthew Daddysman, Norbert Scherer, Oliver Cossairt, Aggelos K. Katsaggelos:
3D Image Reconstruction from Multi-Focus Microscope: Axial Super-Resolution and Multiple-Frame Processing. ICASSP 2018: 1453-1457 - [c35]Xiang Huang, Kuan He, Seunghwan Yoo, Oliver Cossairt, Aggelos K. Katsaggelos, Nicola J. Ferrier, Mark Hereld:
An Interior Point Method for Nonnegative Sparse Signal Reconstruction. ICIP 2018: 1193-1197 - [c34]Seunghwan Yoo, Pablo Ruiz, Xiang Huang, Kuan He, Xiaolei Wang, Itay Gdor, Alan Selewa, Matthew Daddysman, Nicola J. Ferrier, Mark Hereld, Norbert Scherer, Oliver Cossairt, Aggelos K. Katsaggelos:
Bayesian Approach for Automatic Joint Parameter Estimation in 3D Image Reconstruction from Multi-Focus Microscope. ICIP 2018: 3583-3587 - [c33]Bennett Bernardoni, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Saumil Patel, Silvio Rizzi:
In Situ Visualization and Analysis to Design Large Scale Experiments in Computational Fluid Dynamics. LDAV 2018: 94-95 - [c32]Will Usher, Silvio Rizzi, Ingo Wald, Jefferson Amstutz, Joseph A. Insley, Venkatram Vishwanath, Nicola J. Ferrier, Michael E. Papka, Valerio Pascucci:
libIS: a lightweight library for flexible in transit visualization. ISAV@SC 2018: 33-38 - [c31]Nitin Agarwal, Nicola J. Ferrier, Mark Hereld:
Towards Automated Transcription of Label Text from Pinned Insect Collections. WACV 2018: 189-198 - [i3]Yan Zhang, Xiang Huang, Nicola J. Ferrier, Emine Begum Gulsoy, Charudatta Phatak:
U-SLADS: Unsupervised Learning Approach for Dynamic Dendrite Sampling. CoRR abs/1807.02233 (2018) - [i2]Kuan He, Zihao W. Wang, Xiang Huang, Xiaolei Wang, Seunghwan Yoo, Pablo Ruiz, Itay Gdor, Alan Selewa, Nicola J. Ferrier, Norbert Scherer, Mark Hereld, Aggelos K. Katsaggelos, Oliver Cossairt:
Computational multifocal microscopy. CoRR abs/1809.01239 (2018) - 2017
- [c30]Mark Hereld, Nicola J. Ferrier, Nitin Agarwal, Petra Sierwald:
Designing a High-Throughput Pipeline for Digitizing Pinned Insects. eScience 2017: 542-550 - [i1]Yan Zhang, G. M. Dilshan Godaliyadda, Nicola J. Ferrier, Emine Begum Gulsoy, Charles A. Bouman, Charudatta Phatak:
Reduced Electron Exposure for Energy-Dispersive Spectroscopy using Dynamic Sampling. CoRR abs/1707.03848 (2017) - 2016
- [c29]Pete Beckman, Rajesh Sankaran, Charlie Catlett, Nicola J. Ferrier, Robert L. Jacob, Michael E. Papka:
Waggle: An open sensor platform for edge computing. IEEE SENSORS 2016: 1-3 - [c28]Utkarsh Ayachit, Andrew C. Bauer, Earl P. N. Duque, Greg Eisenhauer, Nicola J. Ferrier, Junmin Gu, Kenneth E. Jansen, Burlen Loring, Zarija Lukic, Suresh Menon, Dmitriy Morozov, Patrick O'Leary, Reetesh Ranjan, Michel E. Rasquin, Christopher P. Stone, Venkatram Vishwanath, Gunther H. Weber, Brad Whitlock, Matthew Wolf, K. John Wu, E. Wes Bethel:
Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures. SC 2016: 921-932
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