Derek C. Rose

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 20

Top Topics

Weakly Supervised

Convolutional Neural Networks

Top Venues

DLMIA/ML-CDS@MICCAI

Publications

Amirkoushyar Ziabari, Derek C. Rose, Abbas Shirinifard, David J. Solecki
YOLO2U-Net: Detection-guided 3D instance segmentation for microscopy. Pattern Recognit. Lett. 181 (2024)
Emily J. Herron, Derek C. Rose, Steven Young
ICDARTS: Improving the Stability and Performance of Cyclic DARTS. CoRR (2023)
Amirkoushyar Ziabari, Derek C. Rose, Abbas Shirinifard, David J. Solecki
YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy. CoRR (2022)
Emily J. Herron, Steven R. Young, Derek C. Rose
ICDARTS: Improving the Stability of Cyclic DARTS. ICMLA (2022)
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)
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 (2020)
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)
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)
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)
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 (2019)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Aleksander Klibisz, Derek C. Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko
Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks. CoRR (2017)
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)
Derek C. Rose, Itamar Arel
Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models ICLR (Workshop Poster) (2013)
Derek C. Rose, Itamar Arel
Toward a Sequential Approach to Pipelined Image Recognition. ICMLA (2) (2012)
Brad Matthews, Itamar Arel, Derek C. Rose, B. Bollinger
Multicast and quality of service provisioning in parallel shared memory switches. IET Commun. 4 (14) (2010)
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) (2010)
Steven R. Young, Itamar Arel, Thomas P. Karnowski, Derek C. Rose
A Fast and Stable Incremental Clustering Algorithm. ITNG (2010)
Thomas P. Karnowski, Itamar Arel, Derek C. Rose
Deep Spatiotemporal Feature Learning with Application to Image Classification. ICMLA (2010)
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)