Lasitha Vidyaratne

38 papers A* 1B 9Journal 15Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Building Domain-Specific Small Language Models via Guided Data Generation. AAAI Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025	J	`jnl`	Building Domain-Specific Small Language Models via Guided Data Generation. CoRR Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025	J	`jnl`	Exploring LLM-based Frameworks for Fault Diagnosis. CoRR Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Chetan Gupta
2025	—	`conf`	Generating Troubleshooting Trees With FMEA Using Large Language Models (LLM). ICPHM Lasitha Vidyaratne, Huijuan Shao, Tsubasa Watanabe, Ahmed K. Farahat, Chetan Gupta
2025	J	`jnl`	Weakly-supervised Latent Models for Task-specific Visual-Language Control. CoRR Xian Yeow Lee, Lasitha Vidyaratne, Gregory Sin, Ahmed K. Farahat, Chetan Gupta
2023	—	`conf`	An ensemble of convolution-based methods for fault detection using vibration signals. ICPHM Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
2023	J	`jnl`	An ensemble of convolution-based methods for fault detection using vibration signals. CoRR Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
2023	J	`jnl`	Multi-module based CVAE to predict HVCM faults in the SNS accelerator. CoRR Yasir Alanazi, Malachi Schram, Kishansingh Rajput, Steven Goldenberg, Lasitha Vidyaratne, Chris Pappas, Majdi I. Radaideh, Dan Lu, Pradeep Ramuhalli, Sarah Cousineau
2023	B	`conf`	Uncertainty Aware Deep Learning for Fault Prediction Using Multivariate Time Series Signals. IJCNN Md Monibor Rahman, Lasitha Vidyaratne, Adam Carpenter, Chris Tennant, Khan M. Iftekharuddin
2023	—	`conf`	XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection. CVPR Workshops Xian Yeow Lee, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta
2022	J	`jnl`	Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information. IEEE Trans. Neural Networks Learn. Syst. Lasitha Vidyaratne, Mahbubul Alam, Alexander M. Glandon, Anna Shabalina, Chris Tennant, Khan M. Iftekharuddin
2022	J	`jnl`	Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. Digit. Signal Process. Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram, Sarah Cousineau
2021	—	`conf`	Brain Tumor Segmentation Using UNet-Context Encoding Network. BrainLes@MICCAI (1) Md Monibor Rahman, Md. Shibly Sadique, Ahmed G. Temtam, Walia Farzana, Lasitha Vidyaratne, Khan M. Iftekharuddin
2021	J	`jnl`	Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information. CoRR Lasitha Vidyaratne, Mahbubul Alam, Alexander M. Glandon, Anna Shabalina Solopova, Christopher Tennant, Khan Iftekharuddin
2021	J	`jnl`	Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification at Jefferson Laboratory. Frontiers Artif. Intell. Lasitha Vidyaratne, Adam Carpenter, Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md Monibor Rahman, Anna Shabalina Solopova
2021	—	`conf`	NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) 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, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR 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
2020	—	`—`	Deep Cellular Recurrent Neural Architecture for Efficient Multidimensional Time-Series Data Processing. Lasitha Vidyaratne
2020	—	`conf`	Deep learning with context encoding for semantic brain tumor segmentation and patient survival prediction. Computer-Aided Diagnosis Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin
2020	J	`jnl`	Superconducting radio-frequency cavity fault classification using machine learning at Jefferson Laboratory. CoRR Chris Tennant, Adam Carpenter, Tom Powers, Anna Shabalina Solopova, Lasitha Vidyaratne, Khan Iftekharuddin
2020	J	`jnl`	Survey on Deep Neural Networks in Speech and Vision Systems. Neurocomputing Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander M. Glandon, Khan M. Iftekharuddin
2019	B	`conf`	3D Skeleton Estimation and Human Identity Recognition Using Lidar Full Motion Video. IJCNN Alexander M. Glandon, Lasitha Vidyaratne, Nasrin Sadeghzadehyazdi, Nibir K. Dhar, Jide O. Familoni, Scott T. Acton, Khan M. Iftekharuddin
2019	—	`conf`	Brain Tumor Classification Using 3D Convolutional Neural Network. BrainLes@MICCAI (2) Linmin Pei, Lasitha Vidyaratne, Wei-Wen Hsu, Md Monibor Rahman, Khan M. Iftekharuddin
2019	—	`conf`	Multimodal Brain Tumor Segmentation and Survival Prediction Using Hybrid Machine Learning. BrainLes@MICCAI (2) Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Zeina A. Shboul, Khan M. Iftekharuddin
2019	J	`jnl`	Survey on Deep Neural Networks in Speech and Vision Systems. CoRR Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne, Alexander M. Glandon, Khan M. Iftekharuddin
2018	—	`conf`	Deep learning and texture-based semantic label fusion for brain tumor segmentation. Computer-Aided Diagnosis Lasitha Vidyaratne, Mahbubul Alam, Zeina A. Shboul, Khan M. Iftekharuddin
2018	B	`conf`	Efficient Learning of Data Distribution using Simultaneous Recurrent Belief Network. IJCNN Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin
2018	—	`conf`	Glioblastoma Survival Prediction. BrainLes@MICCAI (2) Zeina A. Shboul, Mahbubul Alam, Lasitha Vidyaratne, Linmin Pei, Khan M. Iftekharuddin
2018	J	`jnl`	Novel deep generative simultaneous recurrent model for efficient representation learning. Neural Networks Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin
2018	B	`conf`	Prediction of Spatial Spectrum in Cognitive Radio using Cellular Simultaneous Recurrent Networks. IJCNN Alexander M. Glandon, Sharif Ullah, Lasitha Vidyaratne, Mahbubul Alam, C. Xin, Khan M. Iftekharuddin
2018	J	`jnl`	Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition. IEEE Trans. Neural Networks Learn. Syst. Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin
2017	B	`conf`	Constrained versus unconstrained learning in generalized recurrent network for image processing. IJCNN Lasitha Vidyaratne, Mahbubul Alam, John K. Anderson, Khan M. Iftekharuddin
2017	—	`conf`	Convolutional neural network transfer learning for robust face recognition in NAO humanoid robot. SSCI D. Bussey, Alexander M. Glandon, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin
2017	—	`conf`	Glioblastoma and Survival Prediction. BrainLes@MICCAI Zeina A. Shboul, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin
2016	B	`conf`	Deep recurrent neural network for seizure detection. IJCNN Lasitha Vidyaratne, Alexander M. Glandon, Mahbubul Alam, Khan M. Iftekharuddin
2016	B	`conf`	Efficient feature extraction with simultaneous recurrent network for metric learning. IJCNN Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin
2015	B	`conf`	Novel hierarchical Cellular Simultaneous Recurrent neural Network for object detection. IJCNN Mahbubul Alam, Lasitha Vidyaratne, Khan M. Iftekharuddin
2014	B	`conf`	Improved training of cellular SRN using Unscented Kaiman Filtering for ADP. IJCNN Lasitha Vidyaratne, Mahbubul Alam, John K. Anderson, Khan M. Iftekharuddin