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Journal Articles
- 2024
[j25]John Bob Gali
, Priyadip Ray, Goutam Das:
GLRT Based Adaptive-Thresholding for CFAR-Detection of Pareto-Target in Pareto-Distributed Clutter. J. Signal Process. Syst. 96(4-5): 313-326 (2024)- 2022
- [j24]Braden C. Soper, Jose Cadena, Sam Nguyen, Kwan Ho Ryan Chan, Paul Kiszka, Lucas Aaron Womack, Mark Work, Joan M. Duggan, Steven T. Haller, Jennifer A. Hanrahan, David J. Kennedy, Deepa Mukundan, Priyadip Ray:
Dynamic modeling of hospitalized COVID-19 patients reveals disease state-dependent risk factors. J. Am. Medical Informatics Assoc. 29(5): 864-872 (2022) - [j23]Alan David Kaplan, John D. Greene, Vincent X. Liu, Priyadip Ray:
Unsupervised probabilistic models for sequential Electronic Health Records. J. Biomed. Informatics 134: 104163 (2022) - [j22]Nilanjan Biswas, Goutam Das, Priyadip Ray:
Buffer-Aware User Selection and Resource Allocation for an Opportunistic Cognitive Radio Network: A Cross-Layer Approach. IEEE/ACM Trans. Netw. 30(5): 1940-1954 (2022) - [j21]Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney:
Robust Decentralized Learning Using ADMM With Unreliable Agents. IEEE Trans. Signal Process. 70: 2743-2757 (2022) - 2021
- [j20]Rui Meng, Braden Soper, Herbert K. H. Lee, Vincent X. Liu, John D. Greene, Priyadip Ray:
Nonstationary multivariate Gaussian processes for electronic health records. J. Biomed. Informatics 117: 103698 (2021) - [j19]Jose Cadena, Priyadip Ray, Hao Chen, Braden Soper, Deepak Rajan, Anton Yen, Ryan A. Goldhahn:
Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks. IEEE Trans. Signal Process. 69: 1713-1724 (2021) - 2020
- [j18]Siva Ram Krishna Vadali, Subrahmanyam Mula, Priyadip Ray, Saswat Chakrabarti:
Area Efficient VLSI Architectures for Weak Signal Detection in Additive Generalized Cauchy Noise. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(6): 1962-1975 (2020) - 2019
- [j17]André R. Gonçalves, Priyadip Ray, Braden Soper, David P. Widemann, Mari Nygård, Jan F. Nygård, Ana Paula Sales:
Bayesian multitask learning regression for heterogeneous patient cohorts. J. Biomed. Informatics X 4: 100059 (2019) - [j16]Karthik Mohan K., Suvra Sekhar Das, Priyadip Ray:
Link Adaptation Schemes Based on Parametric Estimation of SNR Distribution Over Nakagami- $m$ Fading Channels. IEEE Trans. Commun. 67(2): 1537-1553 (2019) - [j15]Jyoti Mansukhani, Priyadip Ray:
Censored Spectrum Sharing Strategy for MIMO Systems in Cognitive Radio Networks. IEEE Trans. Wirel. Commun. 18(12): 5500-5510 (2019) - 2018
- [j14]Nilanjan Biswas, Goutam Das, Priyadip Ray:
Optimal Hybrid Spectrum Sensing Under Control Channel Usage Constraint. IEEE Trans. Signal Process. 66(14): 3875-3890 (2018) - [j13]Jyoti Mansukhani, Priyadip Ray:
Simultaneous Detection and Channel Estimation for Censoring-Based Spectrum Sensing in Cognitive Radio Networks. IEEE Wirel. Commun. Lett. 7(3): 292-295 (2018) - [j12]Rituraj Singh Jodha, Priyadip Ray:
Variational Bayes Based Multiuser Detection for On-Off Random Access Channels. Wirel. Pers. Commun. 100(3): 895-906 (2018) - 2017
- [j11]Washim Uddin Mondal, Sudipta Biswas, Goutam Das, Priyadip Ray:
Traffic-Aware Green Cognitive Radio. Phys. Commun. 23: 20-28 (2017) - [j10]Asim Anand, Priyadip Ray, Qi Cheng:
Joint transmit power and sensing duration optimization for MIMO cognitive radios. Phys. Commun. 25: 167-172 (2017) - [j9]Siva Ram Krishna Vadali, Priyadip Ray, Subrahmanyam Mula, Pramod K. Varshney:
Linear Detection of a Weak Signal in Additive Cauchy Noise. IEEE Trans. Commun. 65(3): 1061-1076 (2017) - 2016
- [j8]Jyoti Mansukhani, Priyadip Ray, Pramod K. Varshney:
Coupled Detection and Estimation Based Censored Spectrum Sharing in Cognitive Radio Networks. IEEE Trans. Wirel. Commun. 15(6): 4206-4217 (2016) - 2015
- [j7]Nilanjan Biswas, Priyadip Ray, Pramod K. Varshney:
Distributed Detection Over Channels with Memory. IEEE Signal Process. Lett. 22(12): 2494-2498 (2015) - 2014
- [j6]Priyadip Ray, Lingling Zheng, Joseph E. Lucas, Lawrence Carin:
Bayesian joint analysis of heterogeneous genomics data. Bioinform. 30(10): 1370-1376 (2014) - [j5]Aditya Vempaty, Priyadip Ray, Pramod K. Varshney:
False discovery rate based distributed detection in the presence of Byzantines. IEEE Trans. Aerosp. Electron. Syst. 50(3): 1826-1840 (2014) - 2011
- [j4]Priyadip Ray, Pramod K. Varshney:
Radar Target Detection Framework Based on False Discovery Rate. IEEE Trans. Aerosp. Electron. Syst. 47(2): 1277-1292 (2011) - [j3]Priyadip Ray, Pramod K. Varshney:
False Discovery Rate Based Sensor Decision Rules for the Network-Wide Distributed Detection Problem. IEEE Trans. Aerosp. Electron. Syst. 47(3): 1785-1799 (2011) - 2009
- [j2]Priyadip Ray, Pramod K. Varshney:
Estimation of spatially distributed processes in wireless sensor networks with random packet loss. IEEE Trans. Wirel. Commun. 8(6): 3162-3171 (2009) - 2008
- [j1]Priyadip Ray, Pramod K. Varshney:
Distributed Detection in Wireless Sensor Networks Using Dynamic Sensor Thresholds. Int. J. Distributed Sens. Networks 4(1): 5-12 (2008)
Conference and Workshop Papers
- 2022
- [c15]Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn:
Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling. IEEECONF 2022: 371-375 - 2021
- [c14]Jose Cadena, Priyadip Ray, Ryan A. Goldhahn:
Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks. ACSCC 2021: 150-155 - 2020
- [c13]John Bob Gali, Priyadip Ray, Goutam Das:
Uniformly Most Powerful CFAR Test for Pareto-Target Detection in Pareto Distributed Clutter. NCC 2020: 1-6 - [c12]Sam Nguyen, Brenda Ng, Alan David Kaplan, Priyadip Ray:
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models. ML4H@NeurIPS 2020: 267-279 - 2018
- [c11]Nilanjan Biswas, Goutam Das, Priyadip Ray:
Optimal resource allocation in a price based opportunistic cognitive radio network. WCNC 2018: 1-6 - 2017
- [c10]Bhavya Kailkhura, Priyadip Ray, Deepak Rajan, Anton Yen, Peter D. Barnes Jr., Ryan A. Goldhahn:
Byzantine-Resilient locally optimum detection using collaborative autonomous networks. CAMSAP 2017: 1-5 - [c9]Anupam Shome, Saswat Chakrabarti, Priyadip Ray:
Successful one way data communication probability of energy harvesting cognitive relay network with spatially random primary users. PIMRC 2017: 1-5 - 2015
- [c8]Soumendu Majee, Priyadip Ray, Qi Cheng:
Efficient wideband spectrum sensing using random projection. ACSSC 2015: 141-145 - [c7]Sandeep D'Souza, Siddharth Jar, Mahasweta Chakraborti, Anwesha Chatterjee, Priyadip Ray:
Heart rate estimation from photoplethysmogram during intensive physical exercise using non-parametric Bayesian factor analysis. ACSSC 2015: 617-621 - 2014
- [c6]Jyoti Mansukhani, Priyadip Ray, Pramod K. Varshney:
Simultaneous detection and estimation based spectrum sharing in cognitive radio networks. ACSSC 2014: 1088-1092 - 2013
- [c5]Debasish Bera, Indrajit Chakrabarty, Priyadip Ray, Sant S. Pathak:
Factor Graph Based Cooperative Spectrum Sensing in Cognitive Radio over Time-Varying Channels. VTC Spring 2013: 1-5 - 2011
- [c4]Priyadip Ray, Lawrence Carin:
Non-parametric Bayesian modeling and fusion of spatio-temporal information sources. FUSION 2011: 1-7 - 2008
- [c3]Raghavendra Rao, Qi Cheng, Priyadip Ray:
Subspace-based cooperative spectrum sensing for cognitive radio. ACSCC 2008: 1662-1666 - 2007
- [c2]Priyadip Ray, Pramod K. Varshney, Ruixin Niu:
A novel framework for the network-wide distributed detection problem. FUSION 2007: 1-8 - 2006
- [c1]Priyadip Ray, Pramod K. Varshney, Chilukuri K. Mohan:
On Reliable Transport and Estimation of Spatio-temporal Events Using Wireless Sensor Networks. CISS 2006: 392-397
Informal and Other Publications
- 2024
- [i8]Alan David Kaplan, Priyadip Ray, John D. Greene, Vincent X. Liu:
Sequential Inference of Hospitalization ElectronicHealth Records Using Probabilistic Models. CoRR abs/2403.19011 (2024) - 2022
- [i7]Alan David Kaplan, John D. Greene, Vincent X. Liu, Priyadip Ray:
Unsupervised Probabilistic Models for Sequential Electronic Health Records. CoRR abs/2204.07292 (2022) - 2020
- [i6]Sam Nguyen, Brenda Ng, Alan David Kaplan, Priyadip Ray:
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models. CoRR abs/2004.05234 (2020) - 2019
- [i5]Anupam Shome, Amit Kumar Dutta, Saswat Chakrabarti, Priyadip Ray:
Performance Analysis of Energy Harvesting Underlay Cooperative Cognitive Radio Relay Networks with Randomly Located Nodes. CoRR abs/1903.01231 (2019) - [i4]Nilanjan Biswas, Goutam Das, Priyadip Ray:
Buffer-aided Resource Allocation for a Price Based Opportunistic Cognitive Radio Network. CoRR abs/1905.07143 (2019) - [i3]Rui Meng, Herbert K. H. Lee, Braden Soper, Priyadip Ray:
Regularized Sparse Gaussian Processes. CoRR abs/1910.05843 (2019) - 2018
- [i2]Bhavya Kailkhura, Priyadip Ray, Deepak Rajan, Anton Yen, Peter D. Barnes Jr., Ryan A. Goldhahn:
Byzantine-Resilient Locally Optimum Detection Using Collaborative Autonomous Networks. CoRR abs/1803.01221 (2018) - 2017
- [i1]Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney:
Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines. CoRR abs/1710.05241 (2017)
Coauthor Index
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last updated on 2024-08-05 21:24 CEST by the dblp team
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