Cover Image

Fixation Sequences as Time Series: A Topological Approach to Dyslexia Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huber, Marius, Reich, David R., Jäger, Lena A.
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Machine Learning Algebraic Topology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Topology-driven identification of repetitions in multi-variate time series
by: Schindler, Simon, et al.
Published: (2025)

Detecting out-of-distribution text using topological features of transformer-based language models
by: Pollano, Andres, et al.
Published: (2023)

Topological Detection of Hopf Bifurcations via Persistent Homology: A Functional Criterion from Time Series
by: Barrios, Jhonathan, et al.
Published: (2026)

Topological Data Analysis in smart manufacturing: State of the art and futuredirections
by: Uray, Martin, et al.
Published: (2023)

Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
by: Dey, Tamal K., et al.
Published: (2025)

Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
by: Andreeva, Rayna, et al.
Published: (2024)

Interpretable Classification of Time Series Using Euler Characteristic Surfaces
by: Luwang, Salam Rabindrajit, et al.
Published: (2026)

Cover Learning for Large-Scale Topology Representation
by: Scoccola, Luis, et al.
Published: (2025)

Topological Methods in Machine Learning: A Tutorial for Practitioners
by: Coskunuzer, Baris, et al.
Published: (2024)

Topological Approach for Data Assimilation
by: Chumley, Max M., et al.
Published: (2024)

Differentiable Mapper For Topological Optimization Of Data Representation
by: Oulhaj, Ziyad, et al.
Published: (2024)

Euler Characteristic Tools For Topological Data Analysis
by: Hacquard, Olympio, et al.
Published: (2023)

Point-Level Topological Representation Learning on Point Clouds
by: Grande, Vincent P., et al.
Published: (2024)

Mixup Barcodes: Quantifying Geometric-Topological Interactions between Point Clouds
by: Wagner, Hubert, et al.
Published: (2024)

Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
by: Eitan, Yam, et al.
Published: (2024)

Towards Scalable Topological Regularizers
by: Wong, Hiu-Tung, et al.
Published: (2025)

Flagifying the Dowker Complex
by: Huber, Marius, et al.
Published: (2025)

Latent Space Topology Evolution in Multilayer Perceptrons
by: Paluzo-Hidalgo, Eduardo
Published: (2025)

The Shape of Word Embeddings: Quantifying Non-Isometry With Topological Data Analysis
by: Draganov, Ondřej, et al.
Published: (2024)

No Triangulation Without Representation: Generalization in Topological Deep Learning
by: Schmidt, Johannes S., et al.
Published: (2026)

ToMAToMP: Robust and Multi-Parameter Topological Clustering
by: Andrianirina, Ludo, et al.
Published: (2026)

Fast Topological Signal Identification and Persistent Cohomological Cycle Matching
by: García-Redondo, Inés, et al.
Published: (2022)

Vulnerability Detection via Topological Analysis of Attention Maps
by: Snopov, Pavel, et al.
Published: (2024)

A Subsequence Approach to Topological Data Analysis for Irregularly-Spaced Time Series
by: Dakurah, Sixtus, et al.
Published: (2024)

Topological Detection of Phenomenological Bifurcations with Unreliable Kernel Densities
by: Tanweer, Sunia, et al.
Published: (2024)

Topological Signatures of ReLU Neural Network Activation Patterns
by: Bosca, Vicente, et al.
Published: (2025)

Topological Characterization of Churn Flow and Unsupervised Correction to the Wu Flow-Regime Map in Small-Diameter Vertical Pipes
by: Koenig, Brady, et al.
Published: (2026)

MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations
by: Solunke, Parikshit, et al.
Published: (2024)

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
by: Loiseaux, David, et al.
Published: (2023)

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts
by: Tulchinskii, Eduard, et al.
Published: (2023)

Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning
by: You, Junwon, et al.
Published: (2026)

TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis
by: Fatema, Saba, et al.
Published: (2024)

HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data
by: Viswanath, Siddharth, et al.
Published: (2025)

Subsampling, aligning, and averaging to find circular coordinates in recurrent time series
by: Blumberg, Andrew J., et al.
Published: (2024)

Topological Point Cloud Clustering
by: Grande, Vincent P., et al.
Published: (2023)

A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction
by: May, Nathan H., et al.
Published: (2023)

Topology-Preserving Scaling in Data Augmentation
by: Le, Vu-Anh, et al.
Published: (2024)

SIMAP: A simplicial-map layer for neural networks
by: Gonzalez-Diaz, Rocio, et al.
Published: (2024)

Persistent Homology via Finite Topological Spaces
by: Kayacan, Selçuk
Published: (2025)

Topological Machine Learning with Unreduced Persistence Diagrams
by: Abreu, Nicole, et al.
Published: (2025)