Neta Rabin

Orcid: 0000-0002-1807-2446

According to our database1, Neta Rabin authored at least 30 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Utilizing data driven methods to identify gender bias in LinkedIn profiles.
Inf. Process. Manag., September, 2023

Multiscale extensions for enhancing coarse grid computations.
J. Comput. Appl. Math., August, 2023

EMG-based speech recognition using dimensionality reduction methods.
J. Ambient Intell. Humaniz. Comput., 2023

Graph-based Extreme Feature Selection for Multi-class Classification Tasks.
CoRR, 2023

2022
Identification of Mine Explosions Using Manifold Learning Techniques.
IEEE Trans. Geosci. Remote. Sens., 2022

Thermal heat distribution features for hand identification.
Expert Syst. Appl., 2022

Improving Laplacian Pyramids Regression with Localization in Frequency and Time.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2020
Seismic Event Discrimination Using Deep CCA.
IEEE Geosci. Remote. Sens. Lett., 2020

Classification of human hand movements based on EMG signals using nonlinear dimensionality reduction and data fusion techniques.
Expert Syst. Appl., 2020

Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data.
Eng. Appl. Artif. Intell., 2020

Multi-Directional Laplacian Pyramids for Completion of Missing Data Entries.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Modeling and Analysis of Students' Performance Trajectories using Diffusion Maps and Kernel Two-Sample Tests.
Eng. Appl. Artif. Intell., 2019

Two directional Laplacian pyramids with application to data imputation.
Adv. Comput. Math., 2019

2018
Multiview Kernels for Low-Dimensional Modeling of Seismic Events.
IEEE Trans. Geosci. Remote. Sens., 2018

Multi-scale kernels for Nyström based extension schemes.
Appl. Math. Comput., 2018

2017
Multi-View Kernels for Low-Dimensional Modeling of Seismic Events.
CoRR, 2017

Detecting mutual configurations of applied planning strategies and performances in small and medium sized businesses with kernel based machine learning methods.
Appl. Soft Comput., 2017

Missing Data Completion Using Diffusion Maps and Laplacian Pyramids.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2016
Auto-adaptive Laplacian Pyramids.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015
Clustering short push-to-talk segments.
Proceedings of the INTERSPEECH 2015, 2015

2014
Diffusion methods for aligning medical datasets: Location prediction in CT scan images.
Medical Image Anal., 2014

2013
Auto-adaptative Laplacian Pyramids for high-dimensional data analysis.
CoRR, 2013

2012
Dimensionality reduction for detection of moving vehicles.
Pattern Anal. Appl., 2012

Heterogeneous Datasets Representation and Learning using Diffusion Maps and Laplacian Pyramids.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2010
Data mining in dynamically evolving systems via diffusion methodologies
PhD thesis, 2010

A diffusion framework for detection of moving vehicles.
Digit. Signal Process., 2010

A Fast Compact Prefix Encoding for Pattern Matching in Limited Resources Devices.
Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010

Detection of Anomaly Trends in Dynamically Evolving Systems.
Proceedings of the Manifold Learning and Its Applications, 2010

2009
Wavelet-based acoustic detection of moving vehicles.
Multidimens. Syst. Signal Process., 2009

2006
Edge-enhancement postprocessing using artificial dissipation.
IEEE Trans. Image Process., 2006


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