Chamika M. Liyanagedera

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Radial Basis Function Network

Image Segmentation

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. WACV (2024)
Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy
HALSIE - Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. CoRR (2022)
Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28 (12) (2020)
Darya Mikhailenko, Chamika M. Liyanagedera, Alex Pappachen James, Kaushik Roy
CA: Modular Memristive Crossbar Arrays. ISCAS (2018)
Chamika M. Liyanagedera, Parami Wijesinghe, Akhilesh Jaiswal, Kaushik Roy
Image segmentation with stochastic magnetic tunnel junctions and spiking neurons. IJCNN (2017)
Chamika M. Liyanagedera, Abhronil Sengupta, Akhilesh Jaiswal, Kaushik Roy
Magnetic Tunnel Junction Enabled Stochastic Spiking Neural Networks: From Non-Telegraphic to Telegraphic Switching Regime. CoRR (2017)
Parami Wijesinghe, Chamika M. Liyanagedera, Kaushik Roy
Fast, low power evaluation of elementary functions using radial basis function networks. DATE (2017)
Karthik Yogendra, Chamika M. Liyanagedera, Deliang Fan, Yong Shim, Kaushik Roy
Coupled Spin-Torque Nano-Oscillator-Based Computation: A Simulation Study. ACM J. Emerg. Technol. Comput. Syst. 13 (4) (2017)
Chamika M. Liyanagedera, Karthik Yogendra, Kaushik Roy, Deliang Fan
Spin torque nano-oscillator based Oscillatory Neural Network. IJCNN (2016)