Edward Kim

According to our database, Edward Kim authored at least 37 papers between 2018 and 2024.

Collaborative distances:

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

2024

Development of an Automated and Scalable Virtual Assistant to Aid in PPE Adherence: A Study with Implications for Applications within Anesthesiology.

Eric Plitman, Edward Kim, Rajesh Patel, Seema Kohout, Rongyu Jin, Vincent Chan, Michael Dinsmore

J. Medical Syst., December, 2024

Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure.

Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan

CoRR, 2024

Event-to-Video Conversion for Overhead Object Detection.

Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins

CoRR, 2024

2023

Turing test-inspired method for analysis of biases prevalent in artificial intelligence-based medical imaging.

Satvik Tripathi, Alisha Isabelle Augustin, Farouk Dako, Edward Kim

AI Ethics, November, 2023

Enriching representation learning using 53 million patient notes through human phenotype ontology embedding.

Maryam Daniali, Peter D. Galer, David Lewis-Smith, Shridhar Parthasarathy, Edward Kim, Dario D. Salvucci, Jeffrey M. Miller, Scott Haag, Ingo Helbig

Artif. Intell. Medicine, May, 2023

Generative Artificial Intelligence Consensus in a Trustless Network.

Edward Kim, Isamu Isozaki, Naomi Sirkin, Michael P. Robson

CoRR, 2023

Investigating SINDy as a Tool for Causal Discovery in Time Series Signals.

Andrew O'Brien, Rosina Weber, Edward Kim

Proceedings of the IEEE International Conference on Acoustics, 2023

Perception Over Time: Temporal Dynamics for Robust Image Understanding.

Maryam Daniali, Edward Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods.

Edward Kim, Lucy Robinson, Isamu Isozaki, Noreen Robertson, Charles B. Cairns, Satvik Tripathi, Vicki Seyfert-Margolis

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Investigating Causally Augmented Sparse Learning as a Tool for Meaningful Classification.

Andrew O'Brien, Edward Kim, Rosina Weber

Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

Basis Learning for Dynamical Systems in the Presence of Incomplete Scientific Knowledge.

Andrew O'Brien, Edward Kim, Rosina Weber

Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples.

Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting.

Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi, Ansh Aashish Dholakia, Andy Nguyen, Isamu Mclean Isozaki, Daniel Schwartz, Edward Kim

CoRR, 2022

Distributional Semantics of Line Charts for Trend Classification.

Connor Onweller, Andrew O'Brien, Edward Kim, Kathleen F. McCoy

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Sparse Kernel Transfer Learning.

Edward Kim, Trang Ha, Garrett T. Kenyon

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Dictionary Learning with Accumulator Neurons.

Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven C. Nesbit, Garrett T. Kenyon, Yijing Watkins

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks.

Steven C. Nesbit, Andrew O'Brien, Jocelyn Rego, Gavin Parpart, Carlos González Rivera, Garrett T. Kenyon, Edward Kim, Terrence C. Stewart, Yijing Watkins

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Toward Multi-Agent Algorithmic Recourse Challenges From a Game-Theoretic Perspective.

Andrew O'Brien, Edward Kim

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

ATRAS: Adversarially Trained Robust Architecture Search.

Yigit Alparslan, Edward Kim

CoRR, 2021

Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network.

Ethan Jacob Moyer, Jeff Winchell, Isamu Isozaki, Yigit Alparslan, Mali Halac, Edward Kim

CoRR, 2021

Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks.

Yigit Alparslan, Edward Kim

CoRR, 2021

Robust SleepNets.

Yigit Alparslan, Edward Kim

CoRR, 2021

Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures.

Yigit Alparslan, Ethan Jacob Moyer, Edward Kim

CoRR, 2021

Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems.

Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim

Proceedings of the International Joint Conference on Neural Networks, 2021

Linking Sparse Coding Dictionaries for Representation Learning.

Nicki Barari, Edward Kim

Proceedings of the 2021 International Conference on Rebooting Computing (ICRC), Los Alamitos, CA, USA, November 30, 2021

Application of Deep CNN-LSTM Network to Gear Fault Diagnostics.

T. Haj Mohamad, Amirhassan Abbasi, Edward Kim, Chandrasekhar Nataraj

Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

2020

The Interpretable Dictionary in Sparse Coding.

Edward Kim, Connor Onweller, Andrew O'Brien, Kathleen F. McCoy

CoRR, 2020

The Selectivity and Competition of the Mind's Eye in Visual Perception.

Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon

CoRR, 2020

Regularization and Sparsity for Adversarial Robustness and Stable Attribution.

Daniel Schwartz, Yigit Alparslan, Edward Kim

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Information Graphic Summarization using a Collection of Multimodal Deep Neural Networks.

Edward Kim, Connor Onweller, Kathleen F. McCoy

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Spiking Neural Network Models of Drosophila Olfaction.

John Carter, Jocelyn Rego, Daniel Schwartz, Vikas Bhandawat, Edward Kim

Proceedings of the International Conference on Neuromorphic Systems, 2020

Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model.

Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Modeling Biological Immunity to Adversarial Examples.

Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Neuromorphic Sparse Coding Defense to Adversarial Images.

Edward Kim, Jessica Yarnall, Priya Shah, Garrett T. Kenyon

Proceedings of the International Conference on Neuromorphic Systems, 2019

2018

Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples.

Jacob M. Springer, Charles M. S. Strauss, Austin M. Thresher, Edward Kim, Garrett T. Kenyon

CoRR, 2018

Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons.

Edward Kim, Darryl Hannan, Garrett T. Kenyon

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Multimodal Deep Learning using Images and Text for Information Graphic Classification.

Edward Kim, Kathleen F. McCoy

Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 2018