Gina C. Adam

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Intrusion Detection

Dimensionality Reduction

Top Venues

Adv. Intell. Syst.

Publications

Joseph A. Kilgore, Jeffrey D. Kopsick, Giorgio A. Ascoli, Gina C. Adam
Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training. CoRR (2024)
Lei Zhang, Joseph Riem, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (8) (2024)
Osama Yousuf, Brian Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam
Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. CoRR (2024)
Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. CoRR (2023)
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
Real-time Network Intrusion Detection via Decision Transformers. CoRR (2023)
Osama Yousuf, Imtiaz Hossen, Andreu Glasmann, Sina Najmaei, Gina C. Adam
Neural Network Modeling Bias for Hafnia-based FeFETs. NANOARCH (2023)
Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. DSC (2023)
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. ACM J. Emerg. Technol. Comput. Syst. 19 (2) (2023)
Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam
Device Modeling Bias in ReRAM-Based Neural Network Simulations. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Wen Ma, Tung Thanh Hoang, Brian Hoskins, Matthew W. Daniels, Jabez J. McClelland, Yutong Gao, Gina C. Adam, Martin Lueker-Boden
Effect of OTS Selector Reliabilities on NVM Crossbar-based Neuromorphic Training. IRPS (2022)
Zhuolin Yang, Lei Zhang, Kedar Aras, Igor R. Efimov, Gina C. Adam
Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants. Adv. Intell. Syst. 4 (8) (2022)
Zhuolin Yang, Lei Zhang, Kedar Aras, Igor R. Efimov, Gina C. Adam
Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants. Adv. Intell. Syst. 4 (8) (2022)
Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew Dienstfrey, Gina C. Adam
Device Modeling Bias in ReRAM-based Neural Network Simulations. CoRR (2022)
Nicolás Wainstein, Gina C. Adam, Eilam Yalon, Shahar Kvatinsky
Radiofrequency Switches Based on Emerging Resistive Memory Technologies - A Survey. Proc. IEEE 109 (1) (2021)
Brian Hoskins, Wen Ma, Mitchell Fream, Osama Yousuf, Mathew Daniels, Jonathan Goodwill, Advait Madhavan, Hoang Tung, Mark Branstad, Muqing Liu, Rasmus Madsen, Jabez Mclelland, Gina C. Adam, Martin Lueker-Boden
A System for Validating Resistive Neural Network Prototypes. ICONS (2021)
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract). AAAI (2020)
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
Memory-efficient training with streaming dimensionality reduction. CoRR (2020)
Yutong Gao, Shang Wu, Gina C. Adam
Batch Training for Neuromorphic Systems with Device Non-idealities. ICONS (2020)
Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. CoRR (2019)
Gina C. Adam, Hussein Nili, Jeeson Kim, Brian D. Hoskins, Omid Kavehei, Dmitri B. Strukov
Utilizing I-V non-linearity and analog state variations in ReRAM-based security primitives. ESSDERC (2017)
Gina C. Adam, Danielle Boyd Harlow, Susan M. Lord, Christian H. Kautz
Micro- and Macroscale Ideas of Current Among Upper-Division Electrical Engineering Students. IEEE Trans. Educ. 60 (3) (2017)
Mirko Prezioso, Y. Zhong, D. Gavrilov, Farnood Merrikh-Bayat, Brian Hoskins, Gina C. Adam, Konstantin K. Likharev, Dmitri B. Strukov
Spiking neuromorphic networks with metal-oxide memristors. ISCAS (2016)
Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Farnood Merrikh-Bayat, Bhaswar Chakrabarti, Dmitri B. Strukov
Highly-uniform multi-layer ReRAM crossbar circuits. ESSDERC (2016)
Hussein Nili, Gina C. Adam, Mirko Prezioso, Jeeson Kim, Farnood Merrikh-Bayat, Omid Kavehei, Dmitri B. Strukov
Highly-Secure Physically Unclonable Cryptographic Primitives Using Nonlinear Conductance and Analog State Tuning in Memristive Crossbar Arrays. CoRR (2016)
Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Dmitri B. Strukov
Three-Dimensional Stateful Material Implication Logic. CoRR (2015)
Gina C. Adam, Danielle Boyd Harlow, Vanessa N. Dominguez
What motivates STEM teachers to attend professional development? A case study in Chilian high schools. FIE (2014)
Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins, Gina C. Adam, Konstantin K. Likharev, Dmitri B. Strukov
Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors. CoRR (2014)
Gina C. Adam
3D implication logic: Preliminary results. FPT (2011)