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Author search results
Exact matches
- T. M. G. Tennakoon
aka: Tennakoon Mudiyanselage Gayani Tennakoon
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Publication search results
found 18 matches
- 2024
- Dwarikanath Mahapatra, Ruwan B. Tennakoon, Yasmeen George, Sudipta Roy, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes:
ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Anal. 97: 103261 (2024) - 2022
- Shima Rashidi, Ruwan B. Tennakoon, Aref Miri Rekavandi, Papangkorn Jessadatavornwong, Amanda Freis, Garret Huff, Mark Easton, Adrian Mouritz, Reza Hoseinnezhad, Alireza Bab-Hadiashar:
IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation. CoRR abs/2210.12947 (2022) - 2021
- T. M. C. L. Tennakoon, Asitha L. Kulasekera, Damith S. Chathuranga, R. A. R. C. Gopura:
Effect of Geometrical Parameters on PneuNet Bending Performance. ICAR 2021: 738-743 - Bojitha Mindula, Malith Ranasinghe, Rushdy Ahamed, Jayani Tennakoon, Chamari Silva, Geethanjali Wimalarathne:
Image and Video Processing based Expressway Traffic Rules Violation Detection. ICTA 2021: 1-6 - 2020
- Ruwan B. Tennakoon, Gerda Bortsova, Silas Nyboe Ørting, Amirali K. Gostar, Mathilde M. W. Wille, Zaigham Saghir, Reza Hoseinnezhad, Marleen de Bruijne, Alireza Bab-Hadiashar:
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem. IEEE Trans. Medical Imaging 39(4): 854-865 (2020) - 2019
- Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Ruwan B. Tennakoon, Alireza Bab-Hadiashar, David Accadia, Joshua Thorpe, Reza Hoseinnezhad:
Random Finite Set-Based Anomaly Detection for Safety Monitoring in Construction Sites. IEEE Access 7: 105710-105720 (2019) - T. M. G. Tennakoon, Richi Nayak:
MH-DAGMiner: maximal hierarchical sub-DAG mining in directed weighted networks. Knowl. Inf. Syst. 61(1): 431-462 (2019) - Amirali Khodadadian Gostar, Chunyun Fu, Weiqin Chuah, Mohammed I. Hossain, Ruwan B. Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad:
State Transition for Statistical SLAM Using Planar Features in 3D Point Clouds. Sensors 19(7): 1614 (2019) - T. M. G. Tennakoon, Richi Nayak:
FCMiner: mining functional communities in social networks. Soc. Netw. Anal. Min. 9(1): 20:1-20:19 (2019) - Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth:
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. IEEE Trans. Medical Imaging 38(8): 1858-1874 (2019) - Tennakoon Mudiyanselage Gayani Tennakoon, Khanh Luong, Wathsala Anupama Mohotti, Sharma Chakravarthy, Richi Nayak:
Multi-type Relational Data Clustering for Community Detection by Exploiting Content and Structure Information in Social Networks. PRICAI (2) 2019: 541-554 - 2018
- Hemamali Tennakoon, George Saridakis, Anne-Marie Mohammed:
Child online safety and parental intervention: a study of Sri Lankan internet users. Inf. Technol. People 31(3): 770-790 (2018) - Ruwan B. Tennakoon, Amirali K. Gostar, Reza Hoseinnezhad, Marleen de Bruijne, Alireza Bab-Hadiashar:
Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions. ACCV (3) 2018: 590-604 - T. M. G. Tennakoon, Richi Nayak:
Discovering Influence Hierarchy Based on Frequent Social Interactions. ASONAM 2018: 575-576 - T. M. G. Tennakoon, Richi Nayak:
A Concise Social Network Representation with Flow Hierarchy Using Frequent Interactions. ICTAI 2018: 631-638 - 2017
- Pallab Kanti Roy, Ruwan B. Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi:
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images. ISBI 2017: 1078-1082 - Stefan Maetschke, Ruwan Bandara Tennakoon, Christian Vecchiola, Rahil Garnavi:
nuts-flow/ml: data pre-processing for deep learning. CoRR abs/1708.06046 (2017) - 2009
- Lynn Young, Samson W. Tu, Lakshika Tennakoon, David Vismer, Vadim Astakhov, Amarnath Gupta, Jeffrey S. Grethe, Maryann E. Martone, Amar K. Das, Matthew J. McAuliffe:
Ontology driven data integration for autism research. CBMS 2009: 1-7
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