Thanuka Wickramarathne

22 papers C 8Misc 3Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
DECISIVE Benchmarking Data Report: sUAS Performance Results from Phase I.
CoRR
Adam Norton, Reza Ahmadzadeh, Kshitij Jerath, Paul Robinette, Jay Weitzen, Thanuka Wickramarathne, Holly A. Yanco, Minseop Choi, Ryan Donald, Brendan Donoghue, Christian Dumas, Peter Gavriel, Alden Giedraitis, Brendan Hertel, Jack Houle, Nathan Letteri, Edwin Meriaux, Zahra Rezaei Khavas, Rakshith Singh, Gregg Willcox, Naye Yoni
2023 J jnl
Phantom Car Attack Detection via Passive Opportunistic RF Localization.
IEEE Access
Alexander M. Wyglinski, Thanuka Wickramarathne, Danjue Chen, Nicholas J. Kirsch, Kuldeep S. Gill, Taru Jain, Varun Garg, Tienan Li, Shuva Paul, Zhang Xi
2023 C conf
Sequential Source Selection Based On Evidential Value of Information.
FUSION
Pawel Kowalski, Anne-Laure Jousselme, Thanuka Wickramarathne
2022 J jnl
DECISIVE Test Methods Handbook: Test Methods for Evaluating sUAS in Subterranean and Constrained Indoor Environments, Version 1.1.
CoRR
Adam Norton, Reza Ahmadzadeh, Kshitij Jerath, Paul Robinette, Jay Weitzen, Thanuka Wickramarathne, Holly A. Yanco, Minseop Choi, Ryan Donald, Brendan Donoghue, Christian Dumas, Peter Gavriel, Alden Giedraitis, Brendan Hertel, Jack Houle, Nathan Letteri, Edwin Meriaux, Zahra Rezaei Khavas, Rakshith Singh, Gregg Willcox, Naye Yoni
2021 C conf
Toward Measuring Information Value in a Multi-Intelligence Context.
FUSION
Anne-Laure Jousselme, Thanuka Wickramarathne, Pawel Kowalski
2019 C conf
A Simplified Formulation of Generalized Bayes' Theorem.
FUSION
Jean Dezert, Albena Tchamova, Deqiang Han, Thanuka Wickramarathne
2019 Misc conf
Exploiting Vehicle-to-Vehicle Communications for Enhanced Situational Awareness.
CogSIMA
Amanda Metzner, Thanuka Wickramarathne
2019 — conf
Machine Learning-Based Roadside Vehicular Traffic Localization via Opportunistic Wireless Sensing.
GlobalSIP
Kyle W. McClintick, Mark Page, Thanuka Wickramarathne, Alexander M. Wyglinski
2018 — conf
Low-Cost Radar for Object Tracking in Autonomous Driving: A Data-Fusion Approach.
VTC Spring
Ryan Aldrich, Thanuka Wickramarathne
2018 C conf
MHT Approach to Ubiquitous Monitoring of Spatio-Temporal Phenomena.
FUSION
Varun Garg, Thanuka Wickramarathne
2018 C conf
On Multi-Sensor Radar Configurations for Vehicle Tracking in Autonomous Driving Environments.
FUSION
Amanda Metzner, Thanuka Wickramarathne
2018 — conf
On the Use of 3-D Accelerometers for Road Quality Assessment.
VTC Spring
Thanuka Wickramarathne, Varun Garg, Peter Bauer
2018 — conf
Ubiquitous Sensing for Enhanced Road Situational Awareness: A Target-Tracking Approach.
ITSC
Varun Garg, Thanuka Wickramarathne
2017 J jnl
Evidence Updating for Stream-Processing in Big-Data: Robust Conditioning in Soft and Hard Fusion Environments.
CoRR
Thanuka Wickramarathne
2017 C conf
Evidence updating for stream-processing in big-data: Robust conditioning in soft and hard data fusion environments.
FUSION
Thanuka Wickramarathne
2013 J jnl
Toward Efficient Computation of the Dempster-Shafer Belief Theoretic Conditionals.
IEEE Trans. Cybern.
Thanuka Wickramarathne, Kamal Premaratne, Manohar N. Murthi
2012 — conf
Consensus-Based Credibility Estimation of Soft Evidence for Robust Data Fusion.
Belief Functions
Thanuka Wickramarathne, Kamal Premaratne, Manohar N. Murthi
2011 Misc conf
Belief theoretic methods for soft and hard data fusion.
ICASSP
Thanuka Wickramarathne, Kamal Premaratne, Manohar N. Murthi, Matthias Scheutz, Sandra Kübler, M. Pravia
2011 J jnl
CoFiDS: A Belief-Theoretic Approach for Automated Collaborative Filtering.
IEEE Trans. Knowl. Data Eng.
Thanuka Wickramarathne, Kamal Premaratne, Miroslav Kubat, D. T. Jayaweera
2011 C conf
Monte-Carlo approximations for Dempster-Shafer belief theoretic algorithms.
FUSION
Thanuka Wickramarathne, Kamal Premaratne, Manohar N. Murthi
2010 C conf
Focal elements generated by the Dempster-Shafer theoretic conditionals: A complete characterization.
FUSION
Thanuka Wickramarathne, Kamal Premaratne, Manohar N. Murthi
2009 Misc conf
Rule Mining and Missing-Value Prediction in the Presence of Data Ambiguities.
FLAIRS
Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne, Thanuka Wickramarathne