Edward Kim - RankMe

64 papers A* 4A 3B 4Misc 3Journal 32Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conformal Prediction for Risk-Controlled Medical Entity Extraction Across Clinical Domains. CoRR Manil Shrestha, Edward Kim
2025	B	`conf`	Efficient Multi-Hop Question Answering Over Knowledge Graphs via LLM Planning and Embedding-Guided Search. IEEE Big Data Manil Shrestha, Edward Kim
2025	J	`jnl`	Efficient Multi-Hop Question Answering over Knowledge Graphs via LLM Planning and Embedding-Guided Search. CoRR Manil Shrestha, Edward Kim
2025	J	`jnl`	Explaining Robustness to Catastrophic Forgetting Through Incremental Concept Formation. CoRR Nicki Barari, Edward Kim, Christopher MacLellan
2025	A*	`conf`	Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs. EMNLP Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu
2025	J	`jnl`	Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs. CoRR Zhuoxuan Zhang, Jinhao Duan, Edward Kim, Kaidi Xu
2025	—	`conf`	Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements. UMAP (Adjunct Publication) Isamu Isozaki, Manil Shrestha, Rick Console, Edward Kim
2024	J	`jnl`	Development of an Automated and Scalable Virtual Assistant to Aid in PPE Adherence: A Study with Implications for Applications within Anesthesiology. J. Medical Syst. Eric Plitman, Edward Kim, Rajesh Patel, Seema Kohout, Rongyu Jin, Vincent Chan, Michael Dinsmore
2024	—	`conf`	E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data. CVPR Workshops Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm
2024	J	`jnl`	E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data. CoRR Aref Azizpour, Tai D. Nguyen, Manil Shrestha, Kaidi Xu, Edward Kim, Matthew C. Stamm
2024	—	`conf`	Event-To-Video Conversion for Overhead Object Detection. SSIAI Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
2024	J	`jnl`	Event-to-Video Conversion for Overhead Object Detection. CoRR Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
2024	—	`conf`	Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. ISBI 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
2024	J	`jnl`	Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. CoRR 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
2024	J	`jnl`	Nevermind: Instruction Override and Moderation in Large Language Models. CoRR Edward Kim
2024	A	`conf`	RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh Classification. WACV Bahareh Shakibajahromi, Edward Kim, David E. Breen
2024	J	`jnl`	Secure Multiparty Generative AI. CoRR Manil Shrestha, Yashodha Ravichandran, Edward Kim
2024	B	`conf`	Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search. IEEE Big Data Edward Kim, Manil Shrestha, Richard Foty, Tom DeLay, Vicki Seyfert-Margolis
2024	J	`jnl`	Structured Extraction of Real World Medical Knowledge using LLMs for Summarization and Search. CoRR Edward Kim, Manil Shrestha, Richard Foty, Tom DeLay, Vicki Seyfert-Margolis
2024	J	`jnl`	The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data. CoRR Ximing Wen, Rosina O. Weber, Anik Sen, Darryl Hannan, Steven C. Nesbit, Vincent Chan, Alberto Goffi, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Christopher J. MacLellan
2024	Misc	`conf`	The Selectivity and Competition of the Mind's Eye in Visual Perception. ICASSP Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon
2024	J	`jnl`	Towards Automated Penetration Testing: Introducing LLM Benchmark, Analysis, and Improvements. CoRR Isamu Isozaki, Manil Shrestha, Rick Console, Edward Kim
2023	—	`conf`	A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods. BIBM Edward Kim, Lucy Robinson, Isamu Isozaki, Noreen Robertson, Charles B. Cairns, Satvik Tripathi, Vicki Seyfert-Margolis
2023	—	`conf`	Basis Learning for Dynamical Systems in the Presence of Incomplete Scientific Knowledge. AIKE Andrew O'Brien, Edward Kim, Rosina Weber
2023	J	`jnl`	Enriching representation learning using 53 million patient notes through human phenotype ontology embedding. Artif. Intell. Medicine Maryam Daniali, Peter D. Galer, David Lewis-Smith, Shridhar Parthasarathy, Edward Kim, Dario D. Salvucci, Jeffrey M. Miller, Scott Haag, Ingo Helbig
2023	J	`jnl`	Generative Artificial Intelligence Consensus in a Trustless Network. CoRR Edward Kim, Isamu Isozaki, Naomi Sirkin, Michael P. Robson
2023	—	`conf`	Investigating Causally Augmented Sparse Learning as a Tool for Meaningful Classification. AIKE Andrew O'Brien, Edward Kim, Rosina Weber
2023	Misc	`conf`	Investigating SINDy as a Tool for Causal Discovery in Time Series Signals. ICASSP Andrew O'Brien, Rosina Weber, Edward Kim
2023	A*	`conf`	MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. AAAI 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
2023	—	`conf`	Perception Over Time: Temporal Dynamics for Robust Image Understanding. CVPR Workshops Maryam Daniali, Edward Kim
2023	A	`conf`	Semantic Adversarial Attacks via Diffusion Models. BMVC Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu
2023	J	`jnl`	Semantic Adversarial Attacks via Diffusion Models. CoRR Chenan Wang, Jinhao Duan, Chaowei Xiao, Edward Kim, Matthew C. Stamm, Kaidi Xu
2023	J	`jnl`	Turing test-inspired method for analysis of biases prevalent in artificial intelligence-based medical imaging. AI Ethics Satvik Tripathi, Alisha Isabelle Augustin, Farouk Dako, Edward Kim
2022	—	`conf`	Dictionary Learning with Accumulator Neurons. ICONS Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven C. Nesbit, Garrett T. Kenyon, Yijing Watkins
2022	J	`jnl`	Dictionary Learning with Accumulator Neurons. CoRR Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven C. Nesbit, Garrett T. Kenyon, Yijing Watkins
2022	—	`conf`	Distributional Semantics of Line Charts for Trend Classification. ISVC (2) Connor Onweller, Andrew O'Brien, Edward Kim, Kathleen F. McCoy
2022	J	`jnl`	EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting. CoRR Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi, Ansh Aashish Dholakia, Andy Nguyen, Isamu Mclean Isozaki, Daniel Schwartz, Edward Kim
2022	J	`jnl`	Investigating Sindy As a Tool For Causal Discovery In Time Series Signals. CoRR Andrew O'Brien, Rosina Weber, Edward Kim
2022	J	`jnl`	MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples. CoRR 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
2022	J	`jnl`	Perception Over Time: Temporal Dynamics for Robust Image Understanding. CoRR Maryam Daniali, Edward Kim
2022	—	`conf`	Sparse Kernel Transfer Learning. ISVC (2) Edward Kim, Trang Ha, Garrett T. Kenyon
2022	—	`conf`	Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks. ICONS Steven C. Nesbit, Andrew O'Brien, Jocelyn Rego, Gavin Parpart, Carlos González Rivera, Garrett T. Kenyon, Edward Kim, Terrence C. Stewart, Yijing Watkins
2022	Misc	`conf`	Toward Multi-Agent Algorithmic Recourse Challenges From a Game-Theoretic Perspective. FLAIRS Andrew O'Brien, Edward Kim
2021	J	`jnl`	ATRAS: Adversarially Trained Robust Architecture Search. CoRR Yigit Alparslan, Edward Kim
2021	—	`conf`	Application of Deep CNN-LSTM Network to Gear Fault Diagnostics. ICPHM T. Haj Mohamad, Amirhassan Abbasi, Edward Kim, Chandrasekhar Nataraj
2021	J	`jnl`	Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures. CoRR Yigit Alparslan, Ethan Jacob Moyer, Edward Kim
2021	J	`jnl`	Extreme Volatility Prediction in Stock Market: When GameStop meets Long Short-Term Memory Networks. CoRR Yigit Alparslan, Edward Kim
2021	J	`jnl`	Functional Protein Structure Annotation Using a Deep Convolutional Generative Adversarial Network. CoRR Ethan Jacob Moyer, Jeff Winchell, Isamu Isozaki, Yigit Alparslan, Mali Halac, Edward Kim
2021	—	`conf`	Linking Sparse Coding Dictionaries for Representation Learning. ICRC Nicki Barari, Edward Kim
2021	J	`jnl`	Robust SleepNets. CoRR Yigit Alparslan, Edward Kim
2021	B	`conf`	Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. IJCNN Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim
2021	J	`jnl`	Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems. CoRR Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim
2020	B	`conf`	Information Graphic Summarization using a Collection of Multimodal Deep Neural Networks. ICPR Edward Kim, Connor Onweller, Kathleen F. McCoy
2020	—	`conf`	Learning Spiking Neural Network Models of Drosophila Olfaction. ICONS John Carter, Jocelyn Rego, Daniel Schwartz, Vikas Bhandawat, Edward Kim
2020	A*	`conf`	Modeling Biological Immunity to Adversarial Examples. CVPR Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon
2020	—	`conf`	Regularization and Sparsity for Adversarial Robustness and Stable Attribution. ISVC (1) Daniel Schwartz, Yigit Alparslan, Edward Kim
2020	J	`jnl`	The Interpretable Dictionary in Sparse Coding. CoRR Edward Kim, Connor Onweller, Andrew O'Brien, Kathleen F. McCoy
2020	J	`jnl`	The Selectivity and Competition of the Mind's Eye in Visual Perception. CoRR Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon
2020	—	`conf`	Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model. CVPR Workshops Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon
2019	—	`conf`	A Neuromorphic Sparse Coding Defense to Adversarial Images. ICONS Edward Kim, Jessica Yarnall, Priya Shah, Garrett T. Kenyon
2018	J	`jnl`	Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples. CoRR Jacob M. Springer, Charles M. S. Strauss, Austin M. Thresher, Edward Kim, Garrett T. Kenyon
2018	A*	`conf`	Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. CVPR Edward Kim, Darryl Hannan, Garrett T. Kenyon
2018	A	`conf`	Multimodal Deep Learning using Images and Text for Information Graphic Classification. ASSETS Edward Kim, Kathleen F. McCoy
2017	J	`jnl`	Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons. CoRR Edward Kim, Darryl Hannan, Garrett T. Kenyon