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Lasitha Vidyaratne
Person information
- affiliation: Hitachi America Ltd., Santa Clara, CA, USA
- affiliation: Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
- affiliation (PhD 2020): Old Dominion University, Norfolk, VA, USA
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2020 – today
- 2023
- [c20]Xian Yeow Lee
, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta:
XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. CVPR Workshops 2023: 4375-4384 - [c19]Xian Yeow Lee
An ensemble of convolution-based methods for fault detection using vibration signals. ICPHM 2023: 172-179 - [c18]Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, Khan M. Iftekharuddin:
Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. IJCNN 2023: 1-7 - [i6]Yasir Alanazi, Malachi Schram, Kishansingh Rajput, Steven Goldenberg, Lasitha Vidyaratne, Chris Pappas, Majdi I. Radaideh
Multi-module based CVAE to predict HVCM faults in the SNS accelerator. CoRR abs/2304.10639 (2023) - [i5]Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao
An ensemble of convolution-based methods for fault detection using vibration signals. CoRR abs/2305.05532 (2023) - 2022
- [j6]Majdi I. Radaideh
Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. Digit. Signal Process. 130: 103704 (2022) - [j5]Lasitha Vidyaratne
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6215-6225 (2022) - 2021
- [j4]Lasitha Vidyaratne, Adam Carpenter
Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. Frontiers Artif. Intell. 4: 718950 (2021) - [c17]Md Monibor Rahman, Md. Shibly Sadique, Ahmed G. Temtam, Walia Farzana, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Brain Tumor Segmentation Using UNet-Context Encoding Network. BrainLes@MICCAI (1) 2021: 463-472 - [c16]Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 2021: 50-72 - [i4]Lasitha Vidyaratne, Mahbubul Alam, Alexander Glandon, Anna Shabalina Solopova, Christopher Tennant, Khan Iftekharuddin:
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information. CoRR abs/2101.05608 (2021) - [i3]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [b1]Lasitha Vidyaratne:
Deep Cellular Recurrent Neural Architecture for Efficient Multidimensional Time-Series Data Processing. Old Dominion University, Norfolk, Virginia, USA, 2020 - [j3]Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin:
Survey on Deep Neural Networks in Speech and Vision Systems. Neurocomputing 417: 302-321 (2020) - [c15]Linmin Pei
Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction. Computer-Aided Diagnosis 2020 - [i2]Chris Tennant, Adam Carpenter, Tom Powers, Anna Shabalina Solopova, Lasitha Vidyaratne, Khan Iftekharuddin:
Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory. CoRR abs/2006.06562 (2020)
2010 – 2019
- 2019
- [c14]Linmin Pei
Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning. BrainLes@MICCAI (2) 2019: 73-81 - [c13]Linmin Pei
Brain Tumor Classification Using 3D Convolutional Neural Network. BrainLes@MICCAI (2) 2019: 335-342 - [c12]Alexander Glandon, Lasitha Vidyaratne, Nasrin Sadeghzadehyazdi, Nibir K. Dhar, Jide O. Familoni, Scott T. Acton, Khan M. Iftekharuddin:
3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video. IJCNN 2019: 1-8 - [i1]Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander Glandon, Khan M. Iftekharuddin:
Survey on Deep Neural Networks in Speech and Vision Systems. CoRR abs/1908.07656 (2019) - 2018
- [j2]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Novel deep generative simultaneous recurrent model for efficient representation learning. Neural Networks 107: 12-22 (2018) - [j1]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin
Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4905-4916 (2018) - [c11]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network. IJCNN 2018: 1-6 - [c10]Alexander Glandon, Sharif Ullah
Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks. IJCNN 2018: 1-7 - [c9]Lasitha Vidyaratne, Mahbubul Alam, Zeina A. Shboul
Deep learning and texture-based semantic label fusion for brain tumor segmentation. Computer-Aided Diagnosis 2018: 105750D - [c8]Zeina A. Shboul
Glioblastoma Survival Prediction. BrainLes@MICCAI (2) 2018: 508-515 - 2017
- [c7]Lasitha Vidyaratne, Mahbubul Alam, John K. Anderson, Khan M. Iftekharuddin:
Constrained versus unconstrained learning in generalized recurrent network for image processing. IJCNN 2017: 3310-3317 - [c6]Zeina A. Shboul
Glioblastoma and Survival Prediction. BrainLes@MICCAI 2017: 358-368 - [c5]D. Bussey, Alexander Glandon, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin:
Convolutional neural network transfer learning for robust face recognition in NAO humanoid robot. SSCI 2017: 1-7 - 2016
- [c4]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Efficient feature extraction with simultaneous recurrent network for metric learning. IJCNN 2016: 1195-1201 - [c3]Lasitha Vidyaratne, Alexander Glandon, Mahbubul Alam, Khan M. Iftekharuddin:
Deep recurrent neural network for seizure detection. IJCNN 2016: 1202-1207 - 2015
- [c2]Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin:
Novel hierarchical Cellular Simultaneous Recurrent neural Network for object detection. IJCNN 2015: 1-7 - 2014
- [c1]Lasitha Vidyaratne, Mahbubul Alam, John K. Anderson, Khan M. Iftekharuddin:
Improved training of cellular SRN using Unscented Kaiman Filtering for ADP. IJCNN 2014: 993-1000
Coauthor Index
aka: Khan Iftekharuddin
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