Derek C. Rose

28 papers A 1B 2C 3Misc 1Journal 8Unranked 13
YearRankTypeTitle / Venue / Authors
2024 J jnl
YOLO2U-Net: Detection-guided 3D instance segmentation for microscopy.
Pattern Recognit. Lett.
Amirkoushyar Ziabari, Derek C. Rose, Abbas Shirinifard, David J. Solecki
2023 J jnl
ICDARTS: Improving the Stability and Performance of Cyclic DARTS.
CoRR
Emily J. Herron, Derek C. Rose, Steven Young
2022 C conf
ICDARTS: Improving the Stability of Cyclic DARTS.
ICMLA
Emily J. Herron, Steven R. Young, Derek C. Rose
2022 J jnl
YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy.
CoRR
Amirkoushyar Ziabari, Derek C. Rose, Abbas Shirinifard, David J. Solecki
2021 — conf
Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach.
ICONS
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
2020 B conf
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment.
IJCNN
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
2020 J jnl
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment.
CoRR
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
2020 — conf
Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency.
IGSC (Workshops)
Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul
2019 Misc conf
A 2.5d Yolo-Based Fusion Algorithm for 3d Localization Of Cells.
ACSSC
Amirkoushyar Ziabari, Derek C. Rose, Matthew R. Eicholtz, David J. Solecki, Abbas Shirinifard
2019 — conf
A Two-Tier Convolutional Neural Network for Combined Detection and Segmentation in Biological Imagery.
GlobalSIP
Amirkoushyar Ziabari, Abbas Shirinifard, Matthew R. Eicholtz, David J. Solecki, Derek C. Rose
2019 — conf
Evolving Energy Efficient Convolutional Neural Networks.
IEEE BigData
Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok
2019 — conf
Exascale Deep Learning to Accelerate Cancer Research.
IEEE BigData
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
2019 J jnl
Exascale Deep Learning to Accelerate Cancer Research.
CoRR
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
2019 — conf
Visualization System for Evolutionary Neural Networks for Deep Learning.
IEEE BigData
Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok
2018 A conf
167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.
SC
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
2017 B conf
Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset.
FG
Nisha Srinivas, Harleen Atwal, Derek C. Rose, Gayathri Mahalingam, Karl Ricanek, David S. Bolme
2017 C conf
Deep modeling: Circuit characterization using theory based models in a data driven framework.
ISCAS
David S. Bolme, Aravind K. Mikkilineni, Derek C. Rose, Srikanth B. Yoginath, Mohsen Judy, Jeremy Holleman
2017 — conf
Evolving Deep Networks Using HPC.
MLHPC@SC
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
2017 — conf
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks.
DLMIA/ML-CDS@MICCAI
Aleksander Klibisz, Derek C. Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko
2017 J jnl
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks.
CoRR
Aleksander Klibisz, Derek C. Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko
2015 — conf
Optimizing deep learning hyper-parameters through an evolutionary algorithm.
MLHPC@SC
Steven R. Young, Derek C. Rose, Thomas P. Karnowski, Seung-Hwan Lim, Robert M. Patton
2013 — conf
Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models
ICLR (Workshop Poster)
Derek C. Rose, Itamar Arel
2012 — conf
Toward a Sequential Approach to Pipelined Image Recognition.
ICMLA (2)
Derek C. Rose, Itamar Arel
2010 — conf
A Fast and Stable Incremental Clustering Algorithm.
ITNG
Steven R. Young, Itamar Arel, Thomas P. Karnowski, Derek C. Rose
2010 J jnl
Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier].
IEEE Comput. Intell. Mag.
Itamar Arel, Derek C. Rose, Thomas P. Karnowski
2010 C conf
Deep Spatiotemporal Feature Learning with Application to Image Classification.
ICMLA
Thomas P. Karnowski, Itamar Arel, Derek C. Rose
2010 J jnl
Multicast and quality of service provisioning in parallel shared memory switches.
IET Commun.
Brad Matthews, Itamar Arel, Derek C. Rose, B. Bollinger
2009 — conf
DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition.
AAAI Fall Symposium: Biologically Inspired Cognitive Architectures
Itamar Arel, Derek C. Rose, Robert Coop