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Derek C. Rose
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2020 – today
- 2024
- [j3]Amirkoushyar Ziabari, Derek C. Rose, Abbas Shirinifard, David J. Solecki:
YOLO2U-Net: Detection-guided 3D instance segmentation for microscopy. Pattern Recognit. Lett. 181: 37-42 (2024) - 2023
- [i5]Emily J. Herron, Derek C. Rose, Steven Young:
ICDARTS: Improving the Stability and Performance of Cyclic DARTS. CoRR abs/2309.00664 (2023) - 2022
- [c20]Emily J. Herron, Steven R. Young, Derek C. Rose:
ICDARTS: Improving the Stability of Cyclic DARTS. ICMLA 2022: 1055-1062 - [i4]Amirkoushyar Ziabari, Derek C. Rose, Abbas Shirinifard, David J. Solecki:
YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy. CoRR abs/2207.06215 (2022) - 2021
- [c19]Maryam Parsa, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay, Steven R. Young, Kaushik Roy:
Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. ICONS 2021: 14:1-14:8 - 2020
- [c18]Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul:
Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency. IGSC (Workshops) 2020: 1-8 - [c17]Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN 2020: 1-9 - [i3]Maryam Parsa, Catherine D. Schuman, Prasanna Date, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR abs/2005.04171 (2020)
2010 – 2019
- 2019
- [c16]Amirkoushyar Ziabari, Derek C. Rose, Matthew R. Eicholtz, David J. Solecki, Abbas Shirinifard:
A 2.5d Yolo-Based Fusion Algorithm for 3d Localization Of Cells. ACSSC 2019: 2185-2190 - [c15]Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou:
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 2019: 1488-1496 - [c14]Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok:
Evolving Energy Efficient Convolutional Neural Networks. IEEE BigData 2019: 4479-4485 - [c13]Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok:
Visualization System for Evolutionary Neural Networks for Deep Learning. IEEE BigData 2019: 4498-4502 - [c12]Amirkoushyar Ziabari, Abbas Shirinifard, Matthew R. Eicholtz, David J. Solecki, Derek C. Rose:
A Two-Tier Convolutional Neural Network for Combined Detection and Segmentation in Biological Imagery. GlobalSIP 2019: 1-5 - [i2]Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz:
Exascale Deep Learning to Accelerate Cancer Research. CoRR abs/1909.12291 (2019) - 2018
- [c11]Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Don D. March, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Thomas P. Karnowski, Maxim A. Ziatdinov, Sergei V. Kalinin:
167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. SC 2018: 50:1-50:11 - 2017
- [c10]Nisha Srinivas, Harleen Atwal, Derek C. Rose, Gayathri Mahalingam, Karl Ricanek, David S. Bolme:
Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset. FG 2017: 953-960 - [c9]David S. Bolme, Aravind K. Mikkilineni, Derek C. Rose, Srikanth B. Yoginath, Mohsen Judy, Jeremy Holleman:
Deep modeling: Circuit characterization using theory based models in a data driven framework. ISCAS 2017: 1-4 - [c8]Aleksander Klibisz, Derek C. Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko:
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks. DLMIA/ML-CDS@MICCAI 2017: 285-293 - [c7]Steven R. Young, Derek C. Rose, J. Travis Johnston, William T. Heller, Thomas P. Karnowski, Thomas E. Potok, Robert M. Patton, Gabriel N. Perdue, Jonathan A. Miller:
Evolving Deep Networks Using HPC. MLHPC@SC 2017: 7:1-7:7 - [i1]Aleksander Klibisz, Derek C. Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko:
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks. CoRR abs/1707.06314 (2017) - 2015
- [c6]Steven R. Young, Derek C. Rose, Thomas P. Karnowski, Seung-Hwan Lim, Robert M. Patton:
Optimizing deep learning hyper-parameters through an evolutionary algorithm. MLHPC@SC 2015: 4:1-4:5 - 2013
- [c5]Derek C. Rose, Itamar Arel:
Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models. ICLR (Workshop Poster) 2013 - 2012
- [c4]Derek C. Rose, Itamar Arel:
Toward a Sequential Approach to Pipelined Image Recognition. ICMLA (2) 2012: 30-35 - 2010
- [j2]Itamar Arel, Derek C. Rose, Thomas P. Karnowski:
Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]. IEEE Comput. Intell. Mag. 5(4): 13-18 (2010) - [j1]Brad Matthews, Itamar Arel, Derek C. Rose, B. Bollinger:
Multicast and quality of service provisioning in parallel shared memory switches. IET Commun. 4(14): 1665-1676 (2010) - [c3]Thomas P. Karnowski, Itamar Arel, Derek C. Rose:
Deep Spatiotemporal Feature Learning with Application to Image Classification. ICMLA 2010: 883-888 - [c2]Steven R. Young, Itamar Arel, Thomas P. Karnowski, Derek C. Rose:
A Fast and Stable Incremental Clustering Algorithm. ITNG 2010: 204-209
2000 – 2009
- 2009
- [c1]Itamar Arel, Derek C. Rose, Robert Coop:
DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2009
Coauthor Index
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