A Klein-Bottle-Based Dictionary for Texture Representation. - Jose A. Perea; Gunnar E. Carlsson (Int. J. Comput. Vis., 2014)

SW1PerS: Sliding windows and 1-persistence scoring; discovering periodicity in gene expression time series data. - Jose A. Perea; Anastasia Deckard; Steven B. Haase; John Harer (BMC Bioinform., 2015)

Sliding Windows and Persistence: An Application of Topological Methods to Signal Analysis. - Jose A. Perea; John Harer (Found. Comput. Math., 2015)

Persistent homology of toroidal sliding window embeddings. - Jose A. Perea (ICASSP, 2016)

Multi-Scale Projective Coordinates via Persistent Cohomology of Sparse Filtrations. - Jose A. Perea (CoRR, 2016)

Chatter Classification in Turning Using Machine Learning and Topological Data Analysis. - Firas A. Khasawneh; Elizabeth Munch; Jose A. Perea (CoRR, 2018)

A Brief History of Persistence. - Jose A. Perea (CoRR, 2018)

Sparse Circular Coordinates via Principal ℤ-Bundles. - Jose A. Perea (CoRR, 2018)

Topological Time Series Analysis. - Jose A. Perea (CoRR, 2018)

Multiscale Projective Coordinates via Persistent Cohomology of Sparse Filtrations. - Jose A. Perea (Discret. Comput. Geom., 2018)

(Quasi)Periodicity Quantification in Video Data, Using Topology. - Christopher J. Tralie; Jose A. Perea (SIAM J. Imaging Sci., 2018)

Coordinatizing Data With Lens Spaces and Persistent Cohomology. - Luis Polanco; Jose A. Perea (CCCG, 2019)

Adaptive Template Systems: Data-Driven Feature Selection for Learning with Persistence Diagrams. - Luis Polanco; Jose A. Perea (ICMLA, 2019)

Künneth Formulae in Persistent Homology. - Hitesh Gakhar; Jose A. Perea (CoRR, 2019)

Twisty Takens: a geometric characterization of good observations on dense trajectories. - Boyan Xu; Christopher J. Tralie; Alice Antia; Michael Lin; Jose A. Perea (J. Appl. Comput. Topol., 2019)

Approximate and discrete Euclidean vector bundles. - Luis Scoccola; Jose A. Perea (CoRR, 2021)

Move Schedules: Fast persistence computations in sparse dynamic settings. - Matt Piekenbrock; Jose A. Perea (CoRR, 2021)

A Comparative Study of Machine Learning Methods for Persistence Diagrams. - Danielle Barnes; Luis Polanco; Jose A. Perea (Frontiers Artif. Intell., 2021)

Fiberwise dimensionality reduction of topologically complex data with vector bundles. - Luis Scoccola; Jose A. Perea (CoRR, 2022)

Learning on Persistence Diagrams as Radon Measures. - Alex Elchesen; Iryna Hartsock; Jose A. Perea; Tatum Rask (CoRR, 2022)

Toroidal Coordinates: Decorrelating Circular Coordinates with Lattice Reduction. - Luis Scoccola; Hitesh Gakhar; Johnathan Bush; Nikolas Schonsheck; Tatum Rask; Ling Zhou 001; Jose A. Perea (SoCG, 2023)

FibeRed: Fiberwise Dimensionality Reduction of Topologically Complex Data with Vector Bundles. - Luis Scoccola; Jose A. Perea (SoCG, 2023)

Topological Data Analysis of Electroencephalogram Signals for Pediatric Obstructive Sleep Apnea. - Shashank Manjunath; Jose A. Perea; Aarti Sathyanarayana (EMBC, 2023)

Approximating Continuous Functions on Persistence Diagrams Using Template Functions. - Jose A. Perea; Elizabeth Munch; Firas A. Khasawneh (Found. Comput. Math., 2023)

DREiMac: Dimensionality Reduction with Eilenberg-MacLane Coordinates. - Jose A. Perea; Luis Scoccola; Christopher J. Tralie (J. Open Source Softw., 2023)

Sliding window persistence of quasiperiodic functions. - Hitesh Gakhar; Jose A. Perea (J. Appl. Comput. Topol., 2024)

Move schedules: fast persistence computations in coarse dynamic settings. - Matthew Piekenbrock; Jose A. Perea (J. Appl. Comput. Topol., 2024)

({O({k})} )-Equivariant Dimensionality Reduction on Stiefel Manifolds. - Andrew Lee; Harlin Lee; Jose A. Perea; Nikolas Schonsheck; Madeleine Weinstein (SIAM J. Math. Data Sci., 2025)