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Anuththara Rupasinghe
Anuththara Rupasinghe
Postdoctoral Research Associate, Princeton Neuroscience Institute, Princeton University
Verified email at umd.edu
Title
Cited by
Cited by
Year
Modes of clustering for motion pattern analysis in video surveillance
RAA Rupasinghe, S Senanayake, DA Padmasiri, MPB Ekanayake, ...
2016 IEEE International Conference on Information and Automation for …, 2016
172016
Direct Extraction of Signal and Noise Correlations from Two-Photon Calcium Imaging of Ensemble Neuronal Activity
A Rupasinghe, N Francis, J Liu, Z Bowen, PO Kanold, B Babadi
eLife 10, e68046, 2021
142021
Spectral-spatial hybrid mechanism for feature detection using spectral correlation
TSJ Oorloff, AMR Abeysekara, SSP Vithana, RAA Rupasinghe, H Herath, ...
2017 IEEE International Conference on Industrial and Information Systems …, 2017
72017
Robust inference of neuronal correlations from blurred and noisy spiking observations
A Rupasinghe, B Babadi
2020 54th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2020
52020
Multitaper analysis of semi-stationary spectra from multivariate neuronal spiking observations
A Rupasinghe, B Babadi
IEEE Transactions on Signal Processing 68, 4382-4396, 2020
42020
Comparison of two algorithms for land cover mapping based on hyperspectral imagery
R Abeysekara, S Oorloff, V Herath, R Godaliyadda, P Ekanayake, ...
The International Journal on Advances in ICT for Emerging Regions 11 (1), 2018
42018
Hyperspectral imaging based land cover mapping using data obtained by the Hyperion sensor
SSP Vithana, AMR Abeysekara, TSJ Oorloff, RAA Rupasinghe, H Herath, ...
2017 Seventeenth International Conference on Advances in ICT for Emerging …, 2017
42017
Experimental Data from'Direct Extraction of Signal and Noise Correlations from Two-Photon Calcium Imaging of Ensemble Neuronal Activity'
A Rupasinghe, N Francis, J Liu, Z Bowen
22021
Multitaper analysis of evolutionary spectral density matrix from multivariate spiking observations
A Rupasinghe, B Babadi
2019 IEEE Data Science Workshop (DSW), 47-51, 2019
12019
Dynamic clustering for event detection and anomaly identification in video surveillance
RAA Rupasinghe, DA Padmasiri, S Senanayake, G Godaliyadda, ...
2017 IEEE International Conference on Industrial and Information Systems …, 2017
12017
Granger Causal Inference from Spiking Observations via Latent Variable Modeling
S Khosravi, A Rupasinghe, B Babadi
2022 56th Asilomar Conference on Signals, Systems, and Computers, 618-622, 2022
2022
Bayesian Inference of Latent Spectral and Temporal Network Organizations from High Dimensional Neural Data
A Rupasinghe
2022
Adaptive Frequency-domain Granger Causal Inference from Neuronal Ensemble Data
A Rupasinghe, S Mukherjee, B Babadi
2020 54th Asilomar Conference on Signals, Systems, and Computers, 101-105, 2020
2020
Comparison of two algorithms for land cover mapping based on hyperspectral imagery
SSP Vithana, AMR Abeysekara, TSJ Oorloff, RAA Rupasinghe, H Herath, ...
International Journal on Advances in ICT for Emerging Regions 11 (1), 1, 2018
2018
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