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Dr. G. Upeksha Ganegoda
Dr. G. Upeksha Ganegoda
Department of Interdisciplinary studies, Faculty of IT, University of Moratuwa
Dirección de correo verificada de uom.lk
Título
Citado por
Citado por
Año
Involvement of machine learning tools in healthcare decision making
SMDAC Jayatilake, GU Ganegoda
Journal of healthcare engineering 2021, 2021
1672021
Secondary prevention of cardiovascular diseases and application of technology for early diagnosis
SP Karunathilake, GU Ganegoda
BioMed research international 2018, 2018
1232018
New trends of digital data storage in DNA
PY De Silva, GU Ganegoda
BioMed research international 2016, 2016
962016
Heterogeneous network model to infer human disease-long intergenic non-coding RNA associations
GU Ganegoda, M Li, W Wang, Q Feng
IEEE transactions on nanobioscience 14 (2), 175-183, 2015
552015
Heart diseases prediction with data mining and neural network techniques
BSS Rathnayakc, GU Ganegoda
2018 3rd International Conference for Convergence in Technology (I2CT), 1-6, 2018
412018
Prioritization of orphan disease-causing genes using topological feature and GO similarity between proteins in interaction networks
M Li, Q Li, GU Ganegoda, JX Wang, FX Wu, Y Pan
Science China Life Sciences 57, 1064-1071, 2014
312014
Prediction of disease genes using tissue-specified gene-gene network
GU Ganegoda, JX Wang, FX Wu, M Li
BMC Systems Biology 8 (suppl 3), S3, 2014
29*2014
Rule based classification to detect malnutrition in children
X Dezhi, GU Ganegoda
International Journal on Computer Science and Enggineering (IJCSE), 2011
242011
Therapeutic approaches and role of ncRNAs in cardiovascular disorders and insulin resistance
KIP Liyanage, GU Ganegoda
BioMed Research International 2017, 2017
182017
Keyword extraction from Tweets using NLP tools for collecting relevant news
TD Jayasiriwardene, GU Ganegoda
2020 International Research Conference on Smart Computing and Systems …, 2020
162020
Source credibility analysis on Twitter users
M Wijesekara, GU Ganegoda
2020 International Research Conference on Smart Computing and Systems …, 2020
132020
Sales forecasting based on autoregressive integrated moving average and recurrent neural network hybrid model
RGH Pemathilake, SP Karunathilake, JLAJ Shamal, GU Ganegoda
2018 14th International Conference on Natural Computation, Fuzzy Systems and …, 2018
122018
ProSim: a method for prioritizing disease genes based on protein proximity and disease similarity
GU Ganegoda, Y Sheng, J Wang
Biomed Res Int 2015 (5), 213750, 2015
112015
A framework to detect twitter platform manipulation and computational propaganda
NC Wickramarathna, TD Jayasiriwardena, M Wijesekara, PB Munasinghe, ...
2020 20th International Conference on Advances in ICT for Emerging Regions …, 2020
92020
Sentiment analysis using Token2Vec and LSTMs: user review analyzing module
AJ Shamal, RGH Pemathilake, SP Karunathilake, GU Ganegoda
2018 18th International Conference on Advances in ICT for Emerging Regions …, 2018
92018
Candidate recruitment based on automatic answer evaluation using WordNet
J Kasundi, GU Ganegoda
2019 International Research Conference on Smart Computing and Systems …, 2019
82019
Digital assistant for supporting bank customer service
D Weerabahu, A Gamage, C Dulakshi, GU Ganegoda, T Sandanayake
Artificial Intelligence: Second International Conference, SLAAI-ICAI 2018 …, 2019
82019
Preference based recommendation system for apparel e-commerce sites
GN Kottage, DK Jayathilake, KC Chankuma, GU Ganegoda, ...
2018 IEEE/ACIS 17th international conference on computer and information …, 2018
82018
Prioritization of candidate genes based on disease similarity and protein's proximity in PPI networks
GU Ganegoda, JX Wang, FX Wu, M Li
2013 IEEE International Conference on Bioinformatics and Biomedicine, 103-108, 2013
72013
Automatic diagnosis of diabetic retinopathy using machine learning: a review
PL Gunawardhana, R Jayathilake, Y Withanage, GU Ganegoda
2020 5th International Conference on Information Technology Research (ICITR …, 2020
62020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20