Derek C. Rose

According to our database, Derek C. Rose authored at least 24 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

ICDARTS: Improving the Stability and Performance of Cyclic DARTS.

Emily J. Herron, Derek C. Rose, Steven Young

CoRR, 2023

2022

YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy.

Amirkoushyar Ziabari, Derek C. Rose, Abbas Shirinifard, David J. Solecki

CoRR, 2022

ICDARTS: Improving the Stability of Cyclic DARTS.

Emily J. Herron, Steven R. Young, Derek C. Rose

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach.

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

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

2020

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment.

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency.

Catherine D. Schuman, Steven R. Young, J. Parker Mitchell, J. Travis Johnston, Derek C. Rose, Bryan P. Maldonado, Brian C. Kaul

Proceedings of the 11th International Green and Sustainable Computing Workshops, 2020

2019

A Two-Tier Convolutional Neural Network for Combined Detection and Segmentation in Biological Imagery.

Amirkoushyar Ziabari, Abbas Shirinifard, Matthew R. Eicholtz, David J. Solecki, Derek C. Rose

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Evolving Energy Efficient Convolutional Neural Networks.

Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Exascale Deep Learning to Accelerate Cancer Research.

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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Visualization System for Evolutionary Neural Networks for Deep Learning.

Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A 2.5d Yolo-Based Fusion Algorithm for 3d Localization Of Cells.

Amirkoushyar Ziabari, Derek C. Rose, Matthew R. Eicholtz, David J. Solecki, Abbas Shirinifard

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.

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

Proceedings of the International Conference for High Performance Computing, 2018

2017

Evolving Deep Networks Using HPC.

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

Proceedings of the Machine Learning on HPC Environments, 2017

Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks.

Aleksander Klibisz, Derek C. Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Deep modeling: Circuit characterization using theory based models in a data driven framework.

David S. Bolme, Aravind K. Mikkilineni, Derek C. Rose, Srikanth B. Yoginath, Mohsen Judy, Jeremy Holleman

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset.

Nisha Srinivas, Harleen Atwal, Derek C. Rose, Gayathri Mahalingam, Karl Ricanek, David S. Bolme

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2015

Optimizing deep learning hyper-parameters through an evolutionary algorithm.

Steven R. Young, Derek C. Rose, Thomas P. Karnowski, Seung-Hwan Lim, Robert M. Patton

Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, 2015

2013

Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models

Derek C. Rose, Itamar Arel

Proceedings of the 1st International Conference on Learning Representations, 2013

2012

Toward a Sequential Approach to Pipelined Image Recognition.

Derek C. Rose, Itamar Arel

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2010

Multicast and quality of service provisioning in parallel shared memory switches.

Brad Matthews, Itamar Arel, Derek C. Rose, B. Bollinger

IET Commun., 2010

Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier].

Itamar Arel, Derek C. Rose, Thomas P. Karnowski

IEEE Comput. Intell. Mag., 2010

A Fast and Stable Incremental Clustering Algorithm.

Steven R. Young, Itamar Arel, Thomas P. Karnowski, Derek C. Rose

Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010

Deep Spatiotemporal Feature Learning with Application to Image Classification.

Thomas P. Karnowski, Itamar Arel, Derek C. Rose

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition.

Itamar Arel, Derek C. Rose, Robert Coop

Proceedings of the Biologically Inspired Cognitive Architectures, 2009