DeSTIN: A Scalable Deep Learning Architecture with Application to High-Dimensional Robust Pattern Recognition. - Itamar Arel; Derek C. Rose; Robert Coop (AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, 2009)

Deep Spatiotemporal Feature Learning with Application to Image Classification. - Thomas P. Karnowski; Itamar Arel; Derek C. Rose (ICMLA, 2010)

A Fast and Stable Incremental Clustering Algorithm. - Steven R. Young; Itamar Arel; Thomas P. Karnowski; Derek C. Rose (ITNG, 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)

Multicast and quality of service provisioning in parallel shared memory switches. - Brad Matthews; Itamar Arel; Derek C. Rose; B. Bollinger (IET Commun., 2010)

Toward a Sequential Approach to Pipelined Image Recognition. - Derek C. Rose; Itamar Arel (ICMLA (2), 2012)

Gradient Driven Learning for Pooling in Visual Pipeline Feature Extraction Models - Derek C. Rose; Itamar Arel (ICLR (Workshop Poster), 2013)

Optimizing deep learning hyper-parameters through an evolutionary algorithm. - Steven R. Young; Derek C. Rose; Thomas P. Karnowski; Seung-Hwan Lim; Robert M. Patton (MLHPC@SC, 2015)

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 (FG, 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 (ISCAS, 2017)

Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks. - Aleksander Klibisz; Derek C. Rose; Matthew Eicholtz; Jay Blundon; Stanislav Zakharenko (DLMIA/ML-CDS@MICCAI, 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 (MLHPC@SC, 2017)

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 (SC, 2018)

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 (ACSSC, 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 (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 (IEEE BigData, 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 (IEEE BigData, 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 (GlobalSIP, 2019)

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 (IGSC (Workshops), 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 001 (IJCNN, 2020)

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 001 (ICONS, 2021)

ICDARTS: Improving the Stability of Cyclic DARTS. - Emily J. Herron; Steven R. Young; Derek C. Rose (ICMLA, 2022)

ICDARTS: Improving the Stability and Performance of Cyclic DARTS. - Emily J. Herron; Derek C. Rose; Steven Young (CoRR, 2023)

YOLO2U-Net: Detection-guided 3D instance segmentation for microscopy. - Amirkoushyar Ziabari; Derek C. Rose; Abbas Shirinifard; David J. Solecki (Pattern Recognit. Lett., 2024)