Michael Kirby - RankMe

89 papers A* 3B 4C 2Misc 1Journal 52Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Transfer learning models for bacterial strain dissemination biomarkers using weighted non-parallel proximal support vector machines. BMC Bioinform. Ugochukwu O. Ugwu, Richard A. Slayden, Michael Kirby
2025	J	`jnl`	A Granular Grassmannian Clustering Framework via the Schubert Variety of Best Fit. CoRR Karim Salta, Michael Kirby, Chris Peterson
2025	—	`conf`	Towards Sustainable AI: Evaluating Efficiency of LLMs for Coding of Diagnoses from Veterinary Health Records. SDS David Kott, Adam Kiehl, Connor Price, Tracy L. Webb, Nadia Saklou, G. Joseph Strecker, Michael Kirby
2024	J	`jnl`	A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets. CoRR Karim Salta, Tomojit Ghosh, Michael Kirby
2024	—	`conf`	A Multi-domain Multi-task Approach for Feature Selection from Bulk RNA Datasets. ICCS (4) Karim Salta, Tomojit Ghosh, Michael Kirby
2024	J	`jnl`	Correction to: Nonlinear feature selection using sparsity-promoted centroid-encoder. Neural Comput. Appl. Tomojit Ghosh, Michael Kirby
2024	J	`jnl`	Fine-tuning foundational models to code diagnoses from veterinary health records. CoRR Mayla R. Boguslav, Adam Kiehl, David Kott, G. Joseph Strecker, Tracy Webb, Nadia Saklou, Terri Ward, Michael Kirby
2024	J	`jnl`	Integrating geometries of ReLU feedforward neural networks. Frontiers Big Data Yajing Liu, Turgay Caglar, Chris Peterson, Michael Kirby
2024	J	`jnl`	Linear Centroid Encoder for Supervised Principal Component Analysis. Pattern Recognit. Tomojit Ghosh, Michael Kirby
2024	J	`jnl`	Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector Machines with Application to Breast and Ovarian Cancer Detection. CoRR Ugochukwu O. Ugwu, Michael Kirby
2023	J	`jnl`	An algorithm for computing Schubert varieties of best fit with applications. Frontiers Artif. Intell. Karim Karimov, Michael Kirby, Chris Peterson
2023	J	`jnl`	Exploring fMRI RDMs: enhancing model robustness through neurobiological data. Frontiers Comput. Sci. William Pickard, Kelsey Sikes, Huma Jamil, Nicholas Chaffee, Nathaniel Blanchard, Michael Kirby, Chris Peterson
2023	B	`conf`	Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-Encoder. IEEE Big Data Tomojit Ghosh, Michael Kirby
2023	J	`jnl`	Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder. CoRR Tomojit Ghosh, Michael Kirby
2023	—	`conf`	Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection. CVPR Workshops Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby
2023	J	`jnl`	Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection. CoRR Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby
2023	J	`jnl`	Leveraging linear mapping for model-agnostic adversarial defense. Frontiers Comput. Sci. Huma Jamil, Yajing Liu, Nathaniel Blanchard, Michael Kirby, Chris Peterson
2023	J	`jnl`	Locally linear attributes of ReLU neural networks. Frontiers Artif. Intell. Benjamin Sattelberg, Renzo Cavalieri, Michael Kirby, Chris Peterson, J. Ross Beveridge
2023	J	`jnl`	Nonlinear feature selection using sparsity-promoted centroid-encoder. Neural Comput. Appl. Tomojit Ghosh, Michael Kirby
2023	J	`jnl`	ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homolog. CoRR Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby
2023	—	`conf`	ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology. TAG-ML Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby
2023	—	`conf`	Sparse Linear Centroid-Encoder: A Biomarker Selection tool for High Dimensional Biological Data. BIBM Tomojit Ghosh, Karim Karimov, Michael Kirby
2023	J	`jnl`	Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection. CoRR Tomojit Ghosh, Michael Kirby, Karim Karimov
2023	J	`jnl`	Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder. CoRR Tomojit Ghosh, Michael Kirby
2022	B	`conf`	Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. IEEE Big Data Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson
2022	J	`jnl`	Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. CoRR Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson
2022	J	`jnl`	Self-organizing mappings on the flag manifold with applications to hyper-spectral image data analysis. Neural Comput. Appl. Xiaofeng Ma, Michael Kirby, Chris Peterson
2022	J	`jnl`	Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection. CoRR Tomojit Ghosh, Michael Kirby
2022	J	`jnl`	Supervised Dimensionality Reduction and Visualization using Centroid-Encoder. J. Mach. Learn. Res. Tomojit Ghosh, Michael Kirby
2022	A*	`conf`	The Flag Median and FlagIRLS. CVPR Nathan Mankovich, Emily J. King, Chris Peterson, Michael Kirby
2022	J	`jnl`	The Flag Median and FlagIRLS. CoRR Nathan Mankovich, Emily J. King, Chris Peterson, Michael Kirby
2022	J	`jnl`	Towards an HPC Complementary Computing Facility. CoRR Kenneth Herner, Michael Kirby, Steven Timm
2021	—	`conf`	The Flag Manifold as a Tool for Analyzing and Comparing Sets of Data Sets. ICCVW Xiaofeng Ma, Michael Kirby, Chris Peterson
2020	—	`conf`	Exploring Musical Structure Using Tonnetz Lattice Geometry and LSTMs. ICCS (2) Manuchehr Aminian, Eric Kehoe, Xiaofeng Ma, Amy Peterson, Michael Kirby
2020	J	`jnl`	Locally Linear Attributes of ReLU Neural Networks. CoRR Benjamin Sattelberg, Renzo Cavalieri, Michael Kirby, Chris Peterson, J. Ross Beveridge
2020	J	`jnl`	Self-organizing mappings on the Grassmannian with applications to data analysis in high dimensions. Neural Comput. Appl. Xiaofeng Ma, Michael Kirby, Chris Peterson, Louis Scharf
2020	J	`jnl`	Supervised Dimensionality Reduction and Visualization using Centroid-encoder. CoRR Tomojit Ghosh, Michael Kirby
2020	J	`jnl`	The flag manifold as a tool for analyzing and comparing data sets. CoRR Xiaofeng Ma, Michael Kirby, Chris Peterson
2019	—	`conf`	A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data. WSOM+ Henry Kvinge, Michael Kirby, Chris Peterson, Chad Eitel, Tod Clapp
2019	J	`jnl`	A data-driven approach to sampling matrix selection for compressive sensing. CoRR Elin Farnell, Henry Kvinge, John P. Dixon, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler, Christian W. Smith
2019	J	`jnl`	Error-adaptive modeling of streaming time-series data using radial basis functions. J. Comput. Appl. Math. Xiaofeng Ma, Manuchehr Aminian, Michael Kirby
2019	J	`jnl`	More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing. CoRR Henry Kvinge, Elin Farnell, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler
2019	J	`jnl`	Motion Segmentation via Generalized Curvatures. IEEE Trans. Pattern Anal. Mach. Intell. Robert T. Arn, Pradyumna Narayana, Tegan Emerson, Bruce A. Draper, Michael Kirby, Chris Peterson
2019	—	`conf`	Self-Organizing Mappings on the Flag Manifold. WSOM+ Xiaofeng Ma, Michael Kirby, Chris Peterson
2019	—	`conf`	Subspace Quantization on the Grassmannian. WSOM+ Shannon Stiverson, Michael Kirby, Chris Peterson
2018	C	`conf`	A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction. ISPDC Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
2018	J	`jnl`	A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction. CoRR Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
2018	—	`conf`	Endmember Extraction on the Grassmannian. DSW Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson
2018	J	`jnl`	Endmember Extraction on the Grassmannian. CoRR Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson
2018	—	`conf`	Manifold Curvature From Covariance Analysis. SSP Javier Álvarez-Vizoso, Michael Kirby, Chris Peterson
2018	J	`jnl`	Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large data sets. CoRR Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
2018	—	`conf`	Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large datasets. IEEE BigData Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
2018	—	`conf`	Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets. HPEC Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
2018	J	`jnl`	Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets. CoRR Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
2017	B	`conf`	A sequential simplex algorithm for automatic data and center selecting radial basis functions. IJCNN Xiaofeng Ma, Tomojit Ghosh, Michael Kirby
2017	—	`conf`	Constrained subspace estimation via convex optimization. EUSIPCO Ignacio Santamaría, Javier Vía, Michael Kirby, Tim Marrinan, Chris Peterson, Louis Scharf
2017	J	`jnl`	Persistence Images: A Stable Vector Representation of Persistent Homology. J. Mach. Learn. Res. Henry Adams, Tegan Emerson, Michael Kirby, Rachel Neville, Chris Peterson, Patrick D. Shipman, Sofya Chepushtanova, Eric M. Hanson, Francis C. Motta, Lori Ziegelmeier
2017	J	`jnl`	Sparse Grassmannian Embeddings for Hyperspectral Data Representation and Classification. IEEE Geosci. Remote. Sens. Lett. Sofya Chepushtanova, Michael Kirby
2017	Misc	`conf`	Sparse Locally Linear Embedding. ICCS Lori Ziegelmeier, Michael Kirby, Chris Peterson
2017	J	`jnl`	Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary. SIAM Rev. Lori Ziegelmeier, Michael Kirby, Chris Peterson
2017	—	`conf`	Visualizing data sets on the Grassmannian using self-organizing mappings. WSOM Michael Kirby, Chris Peterson
2016	—	`conf`	An order fitting rule for optimal subspace averaging. SSP Ignacio Santamaría, Louis L. Scharf, Chris Peterson, Michael Kirby, Joseph M. Francos
2016	—	`conf`	Explorations in Very Early Prognosis of the Human Immune Response to Influenza. BCB Mmanu Chaturvedi, Tomojit Ghosh, Michael Kirby, Xiaoyu Liu, Xiaofeng Ma, Shannon Stiverson
2016	—	`conf`	Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral Movies. CTIC Sofya Chepushtanova, Michael Kirby, Chris Peterson, Lori Ziegelmeier
2016	J	`jnl`	Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral Movies. CoRR Sofya Chepushtanova, Michael Kirby, Chris Peterson, Lori Ziegelmeier
2016	—	`conf`	Reduced dimension estimators in matched subspace detection. WHISPERS Tegan Emerson, Michael Kirby, Chris Peterson, Louis Scharf
2016	J	`jnl`	Stratifying High Dimensional Data Based on Proximity to the Convex Hull Boundary. CoRR Lori Ziegelmeier, Michael Kirby, Chris Peterson
2015	C	`conf`	An application of persistent homology on Grassmann manifolds for the detection of signals in hyperspectral imagery. IGARSS Sofya Chepushtanova, Michael Kirby, Chris Peterson, Lori Ziegelmeier
2015	J	`jnl`	Classification of Hyperspectral Imagery on Embedded Grassmannians. CoRR Sofya Chepushtanova, Michael Kirby
2015	J	`jnl`	Fourier-ring descriptor to characterize rare circulating cells from images generated using immunofluorescence microscopy. Comput. Medical Imaging Graph. Tegan Emerson, Michael Kirby, Kelly Bethel, Anand Kolatkar, Madelyn Luttgen, Stephen O'Hara, Paul K. Newton, Peter Kuhn
2015	J	`jnl`	High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems). CoRR Salman Habib, Robert Roser, Tom LeCompte, Zach Marshall, Anders Borgland, Brett Viren, Peter Nugent, Makoto Asai, Lothar Bauerdick, Hal Finkel, Steven Gottlieb, Stefan Hoeche, Paul Sheldon, Jean-Luc Vay, Peter Elmer, Michael Kirby, Simon J. Patton, Maxim Potekhin, Brian Yanny, Paolo Calafiura, Eli Dart, Oliver Gutsche, Taku Izubuchi, Adam Lyon, Don Petravick
2015	J	`jnl`	Persistence Images: An Alternative Persistent Homology Representation. CoRR Sofya Chepushtanova, Tegan Emerson, Eric M. Hanson, Michael Kirby, Francis C. Motta, Rachel Neville, Chris Peterson, Patrick D. Shipman, Lori Ziegelmeier
2015	J	`jnl`	The max-length-vector line of best fit to a set of vector subspaces and an optimization problem over a set of hyperellipsoids. Numer. Linear Algebra Appl. Daniel J. Bates, Brent R. Davis, Michael Kirby, Justin Marks, Chris Peterson
2014	—	`conf`	Classification of hyperspectral imagery on embedded Grassmannians. WHISPERS Sofya Chepushtanova, Michael Kirby
2014	A*	`conf`	Finding the Subspace Mean or Median to Fit Your Need. CVPR Tim Marrinan, Bruce A. Draper, J. Ross Beveridge, Michael Kirby, Chris Peterson
2013	—	`conf`	Flag Manifolds for the Characterization of Geometric Structure in Large Data Sets. ENUMATH Tim Marrinan, J. Ross Beveridge, Bruce A. Draper, Michael Kirby, Chris Peterson
2012	J	`jnl`	Locally Linear Embedding Clustering Algorithm for Natural Imagery CoRR Lori Ziegelmeier, Michael Kirby, Chris Peterson
2010	—	`conf`	Accurate fault prediction of BlueGene/P RAS logs via geometric reduction. DSN Workshops Joshua Thompson, David W. Dreisigmeyer, Terry R. Jones, Michael Kirby, Joshua Ladd
2010	A*	`conf`	Action classification on product manifolds. CVPR Yui Man Lui, J. Ross Beveridge, Michael Kirby
2009	J	`jnl`	Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE. IEEE Trans. Pattern Anal. Mach. Intell. J. Ross Beveridge, Bruce A. Draper, Jen-Mei Chang, Michael Kirby, Holger Kley, Chris Peterson
2008	—	`conf`	Feature Extraction via Kernelized Signal Fraction Analysis vs Kernelized Principal Component Analysis. DMIN Fatemeh Emdad, Michael Kirby, Seyed A. Zekavat
2008	B	`conf`	Image-set matching using a geodesic distance and cohort normalization. FG Yui Man Lui, J. Ross Beveridge, Bruce A. Draper, Michael Kirby
2007	—	`conf`	Recognition of Digital Images of the Human Face at Ultra Low Resolution Via Illumination Spaces. ACCV (2) Jen-Mei Chang, Michael Kirby, Holger Kley, Chris Peterson, Bruce A. Draper, J. Ross Beveridge
2006	—	`conf`	Illumination Face Spaces Are Idiosyncratic. IPCV Jen-Mei Chang, J. Ross Beveridge, Bruce A. Draper, Michael Kirby, Holger Kley, Chris Peterson
2003	—	`conf`	Adaptive Antenna Beam Forming Via Maximum Noise Fraction for Multi Carrier CDMA Systems. International Conference on Wireless Networks Fatemeh Emdad, Seyed A. Zekavat, Michael Kirby
1994	J	`jnl`	Biotechnology and the law. Comput. Law Secur. Rev. Michael Kirby
1993	J	`jnl`	A model problem in the representation of digital image sequences. Pattern Recognit. Michael Kirby, F. Weisser, Gerhard Dangelmayr
1992	J	`jnl`	Information security - OECD initiatives. Comput. Law Secur. Rev. Michael Kirby
1989	J	`jnl`	Informatics, transborder data flows and law - the new challenges. Comput. Law Secur. Rev. Michael Kirby