Edge-enhancement postprocessing using artificial dissipation. - Amir Averbuch; Boris Epstein 002; Neta Rabin; Eli Turkel (IEEE Trans. Image Process., 2006)

Wavelet-based acoustic detection of moving vehicles. - Amir Averbuch; Valery A. Zheludev; Neta Rabin; Alon Schclar (Multidimens. Syst. Signal Process., 2009)

Detection of Anomaly Trends in Dynamically Evolving Systems. - Neta Rabin; Amir Averbuch (AAAI Fall Symposium: Manifold Learning and Its Applications, 2010)

A Fast Compact Prefix Encoding for Pattern Matching in Limited Resources Devices. - S. Harrusi; Amir Averbuch; Neta Rabin (DCC, 2010)

A diffusion framework for detection of moving vehicles. - Alon Schclar; Amir Averbuch; Neta Rabin; Valery A. Zheludev; Keren Hochman (Digit. Signal Process., 2010)

Data mining in dynamically evolving systems via diffusion methodologies - Neta Rabin (2010)

Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian Pyramids. - Neta Rabin; Ronald R. Coifman (SDM, 2012)

Dimensionality reduction for detection of moving vehicles. - Amir Averbuch; Neta Rabin; Alon Schclar; Valery A. Zheludev (Pattern Anal. Appl., 2012)

Auto-adaptative Laplacian Pyramids for high-dimensional data analysis. - Ángela Fernández 001; Neta Rabin; José R. Dorronsoro (CoRR, 2013)

Diffusion methods for aligning medical datasets: Location prediction in CT scan images. - Ángela Fernández 001; Neta Rabin; Ronald R. Coifman; Joseph Eckstein (Medical Image Anal., 2014)

Clustering short push-to-talk segments. - Ilya Shapiro; Neta Rabin; Irit Opher; Itshak Lapidot (INTERSPEECH, 2015)

Auto-adaptive Laplacian Pyramids. - Ángela Fernández 001; Neta Rabin; Dalia Fishelov; José R. Dorronsoro (ESANN, 2016)

Missing Data Completion Using Diffusion Maps and Laplacian Pyramids. - Neta Rabin; Dalia Fishelov (ICCSA (1), 2017)

Detecting mutual configurations of applied planning strategies and performances in small and medium sized businesses with kernel based machine learning methods. - Sibylle Heilbrunn; Neta Rabin; Shai Rozenes (Appl. Soft Comput., 2017)

Multi-View Kernels for Low-Dimensional Modeling of Seismic Events. - Ofir Lindenbaum; Yuri Bregman; Neta Rabin; Amir Averbuch (CoRR, 2017)

Multi-scale kernels for Nyström based extension schemes. - Neta Rabin; Dalia Fishelov (Appl. Math. Comput., 2018)

Multiview Kernels for Low-Dimensional Modeling of Seismic Events. - Ofir Lindenbaum; Yuri Bregman; Neta Rabin; Amir Averbuch (IEEE Trans. Geosci. Remote. Sens., 2018)

Two directional Laplacian pyramids with application to data imputation. - Neta Rabin; Dalia Fishelov (Adv. Comput. Math., 2019)

Modeling and Analysis of Students' Performance Trajectories using Diffusion Maps and Kernel Two-Sample Tests. - Neta Rabin; Maya Golan; Gonen Singer; Dvir Kleper (Eng. Appl. Artif. Intell., 2019)

Multi-Directional Laplacian Pyramids for Completion of Missing Data Entries. - Neta Rabin (ESANN, 2020)

Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data. - Ángela Fernández 001; Neta Rabin; Dalia Fishelov; José R. Dorronsoro (Eng. Appl. Artif. Intell., 2020)

Classification of human hand movements based on EMG signals using nonlinear dimensionality reduction and data fusion techniques. - Neta Rabin; Maayan Kahlon; Sarit Malayev; Anat Ratnovsky (Expert Syst. Appl., 2020)

Seismic Event Discrimination Using Deep CCA. - Ofir Lindenbaum; Neta Rabin; Yuri Bregman; Amir Averbuch (IEEE Geosci. Remote. Sens. Lett., 2020)

Improving Laplacian Pyramids Regression with Localization in Frequency and Time. - Neta Rabin; Ben Hen; Ángela Fernández 001 (ESANN, 2022)

Thermal heat distribution features for hand identification. - Alex Knish; Neta Rabin (Expert Syst. Appl., 2022)

Identification of Mine Explosions Using Manifold Learning Techniques. - Itay Niv; Yuri Bregman; Neta Rabin (IEEE Trans. Geosci. Remote. Sens., 2022)

Graph-based Extreme Feature Selection for Multi-class Classification Tasks. - Shir Friedman; Gonen Singer; Neta Rabin (CoRR, 2023)

EMG-based speech recognition using dimensionality reduction methods. - Anat Ratnovsky; Sarit Malayev; Shahar Ratnovsky; Sara Naftali; Neta Rabin (J. Ambient Intell. Humaniz. Comput., 2023)

Multiscale extensions for enhancing coarse grid computations. - Neta Rabin; Ángela Fernández 001; Dalia Fishelov (J. Comput. Appl. Math., 2023)

Utilizing data driven methods to identify gender bias in LinkedIn profiles. - Vivian Simon; Neta Rabin; Hila Chalutz Ben-Gal (Inf. Process. Manag., 2023)

Combining thermal imaging and machine learning to noninvasively characterize palm perfusion during local blood pressure changes. - Ido Muller; Zehava Ovadia-Blechman; Noam Moyal; Noa Darchi; Oshrit Hoffer; Moshe Halak; Neta Rabin (Biomed. Signal Process. Control., 2024)

Dynamic artist-based embeddings with application to playlist generation. - Raphael Shuhendler; Neta Rabin (Eng. Appl. Artif. Intell., 2024)

A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders. - Assaf Zadka; Neta Rabin; Eran Gazit; Anat Mirelman; Alice Nieuwboer; Lynn Rochester; Silvia Del Din; Elisa Pelosin; Laura Avanzino; Bastiaan R. Bloem; Ugo Della Croce; Andrea Cereatti; et al. (npj Digit. Medicine, 2024)

Exploring Graph-Transformer Out-of-Distribution Generalization Abilities. - Itay Niv; Neta Rabin (CoRR, 2025)