Gina C. Adam - RankMe

38 papers A* 2C 2Journal 21Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	XBTorch: A Unified Framework for Modeling and Co-Design of Crossbar-Based Deep Learning Accelerators. CoRR Osama Yousuf, Andreu L. Glasmann, Martin Lueker-Boden, Sina Najmaei, Gina C. Adam
2025	—	`conf`	Chiplet-based Implementation of Decision Trees for Network Intrusion Detection. MILCOM Md Abrar Ibtesham, Lei Zhang, Joseph Riem, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2025	—	`conf`	Decision Trees Mapped to Memristive Hardware for Network Intrusion Detection. MILCOM Syed Sameer Nadeem, Osama Yousuf, Joseph Riem, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2025	—	`conf`	LAMPS: Learning-based Mobility Planning via Posterior State Inference using Gaussian Cox Process Models. INFOCOM WKSHPS Egemen Erbayat, Yongsheng Mei, Gina C. Adam, Suresh Subramaniam, Sean M. Coffey, Nathaniel D. Bastian, Tian Lan
2025	J	`jnl`	Optimizing Prompt Sequences using Monte Carlo Tree Search for LLM-Based Optimization. CoRR Fei Xu Yu, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024	J	`jnl`	Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training. CoRR Joseph A. Kilgore, Jeffrey D. Kopsick, Giorgio A. Ascoli, Gina C. Adam
2024	—	`conf`	Co-Design of Decision Trees for Network Intrusion Detection at the Edge on Digital vs. Analog Hardware. MILCOM Joseph Riem, Lei Zhang, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2024	J	`jnl`	Formation and retrieval of cell assemblies in a biologically realistic spiking neural network model of area CA3 in the mouse hippocampus. J. Comput. Neurosci. Jeffrey D. Kopsick, Joseph A. Kilgore, Gina C. Adam, Giorgio A. Ascoli
2024	J	`jnl`	Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. CoRR Osama Yousuf, Brian Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew M. Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam
2024	J	`jnl`	Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications. IEEE Trans. Circuits Syst. I Regul. Pap. Lei Zhang, Joseph Riem, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2024	A*	`conf`	RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. NeurIPS Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024	J	`jnl`	RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. CoRR Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	Device Modeling Bias in ReRAM-Based Neural Network Simulations. IEEE J. Emerg. Sel. Topics Circuits Syst. Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew M. Dienstfrey, Gina C. Adam
2023	—	`conf`	Explainable Learning-Based Intrusion Detection Supported by Memristors. CAI Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. ACM J. Emerg. Technol. Comput. Syst. Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
2023	—	`conf`	Neural Network Modeling Bias for Hafnia-based FeFETs. NANOARCH Osama Yousuf, Imtiaz Hossen, Andreu Glasmann, Sina Najmaei, Gina C. Adam
2023	—	`conf`	RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. DSC Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. CoRR Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	Real-time Network Intrusion Detection via Decision Transformers. CoRR Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2022	J	`jnl`	Device Modeling Bias in ReRAM-based Neural Network Simulations. CoRR Osama Yousuf, Imtiaz Hossen, Matthew W. Daniels, Martin Lueker-Boden, Andrew M. Dienstfrey, Gina C. Adam
2022	—	`conf`	Effect of OTS Selector Reliabilities on NVM Crossbar-based Neuromorphic Training. IRPS Wen Ma, Tung Thanh Hoang, Brian Hoskins, Matthew W. Daniels, Jabez J. McClelland, Yutong Gao, Gina C. Adam, Martin Lueker-Boden
2022	J	`jnl`	Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants. Adv. Intell. Syst. Zhuolin Yang, Lei Zhang, Kedar Aras, Igor R. Efimov, Gina C. Adam
2022	J	`jnl`	Hardware-Mappable Cellular Neural Networks for Distributed Wavefront Detection in Next-Generation Cardiac Implants. Adv. Intell. Syst. Zhuolin Yang, Lei Zhang, Kedar Aras, Igor R. Efimov, Gina C. Adam
2021	—	`conf`	A System for Validating Resistive Neural Network Prototypes. ICONS Brian Hoskins, Wen Ma, Mitchell Fream, Osama Yousuf, Matthew W. Daniels, Jonathan Goodwill, Advait Madhavan, Hoang Tung, Mark Branstad, Muqing Liu, Rasmus Madsen, Jabez J. McClelland, Gina C. Adam, Martin Lueker-Boden
2021	J	`jnl`	Radiofrequency Switches Based on Emerging Resistive Memory Technologies - A Survey. Proc. IEEE Nicolás Wainstein, Gina C. Adam, Eilam Yalon, Shahar Kvatinsky
2020	—	`conf`	Batch Training for Neuromorphic Systems with Device Non-idealities. ICONS Yutong Gao, Shang Wu, Gina C. Adam
2020	J	`jnl`	Memory-efficient training with streaming dimensionality reduction. CoRR Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
2020	A*	`conf`	Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract). AAAI Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels, Mark D. Stiles, Gina C. Adam
2019	J	`jnl`	Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. CoRR Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang, Advait Madhavan, Gina C. Adam, Nikolai Zhitenev, Jabez J. McClelland, Mark D. Stiles
2017	J	`jnl`	Micro- and Macroscale Ideas of Current Among Upper-Division Electrical Engineering Students. IEEE Trans. Educ. Gina C. Adam, Danielle Boyd Harlow, Susan M. Lord, Christian H. Kautz
2017	—	`conf`	Utilizing I-V non-linearity and analog state variations in ReRAM-based security primitives. ESSDERC Gina C. Adam, Hussein Nili, Jeeson Kim, Brian D. Hoskins, Omid Kavehei, Dmitri B. Strukov
2016	J	`jnl`	Highly-Secure Physically Unclonable Cryptographic Primitives Using Nonlinear Conductance and Analog State Tuning in Memristive Crossbar Arrays. CoRR Hussein Nili, Gina C. Adam, Mirko Prezioso, Jeeson Kim, Farnood Merrikh-Bayat, Omid Kavehei, Dmitri B. Strukov
2016	—	`conf`	Highly-uniform multi-layer ReRAM crossbar circuits. ESSDERC Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Farnood Merrikh-Bayat, Bhaswar Chakrabarti, Dmitri B. Strukov
2016	C	`conf`	Spiking neuromorphic networks with metal-oxide memristors. ISCAS Mirko Prezioso, Y. Zhong, D. Gavrilov, Farnood Merrikh-Bayat, Brian Hoskins, Gina C. Adam, Konstantin K. Likharev, Dmitri B. Strukov
2015	J	`jnl`	Three-Dimensional Stateful Material Implication Logic. CoRR Gina C. Adam, Brian D. Hoskins, Mirko Prezioso, Dmitri B. Strukov
2014	J	`jnl`	Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors. CoRR Mirko Prezioso, Farnood Merrikh-Bayat, Brian Hoskins, Gina C. Adam, Konstantin K. Likharev, Dmitri B. Strukov
2014	C	`conf`	What motivates STEM teachers to attend professional development? A case study in Chilian high schools. FIE Gina C. Adam, Danielle Boyd Harlow, Vanessa N. Dominguez
2011	—	`conf`	3D implication logic: Preliminary results. FPT Gina C. Adam