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Mohan Timilsina
Mohan Timilsina
Insight Centre for Data Analytics, National University of Ireland Galway
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Explainable artificial intelligence (XAI) to enhance trust management in intrusion detection systems using decision tree model
B Mahbooba, M Timilsina, R Sahal, M Serrano
Complexity 2021, 2021
532021
Discovering symptom patterns of COVID-19 patients using association rule mining
M Tandan, Y Acharya, S Pokharel, M Timilsina
Computers in biology and medicine 131, 104249, 2021
322021
Discovering links between side effects and drugs using a diffusion based method
M Timilsina, M Tandan, M d’Aquin, H Yang
Scientific reports 9 (1), 1-10, 2019
212019
Social impact assessment of scientist from mainstream news and weblogs
M Timilsina, W Khawaja, B Davis, M Taylor, C Hayes
Social Network Analysis and Mining 7 (1), 1-15, 2017
142017
Towards Predicting Academic Impact from Mainstream News and Weblogs: A Heterogenous Graph Based Approach
M Timilsina, B Davis, M Taylor, C Hayes
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
142016
Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach
M Timilsina, H Yang, R Sahay, D Rebholz-Schuhmann
BMC bioinformatics 20 (1), 1-20, 2019
122019
Role of patient descriptors in predicting antimicrobial resistance in urinary tract infections using a decision tree approach: a retrospective cohort study
M Tandan, M Timilsina, M Cormican, A Vellinga
International journal of medical informatics 127, 127-133, 2019
112019
Semi-supervised regression using diffusion on graphs
M Timilsina, A Figueroa, M d’Aquin, H Yang
Applied Soft Computing 104, 107188, 2021
102021
Predicting citations from mainstream news, weblogs and discussion forums
M Timilsina, B Davis, M Taylor, C Hayes
Proceedings of the International Conference on Web Intelligence, 237-244, 2017
72017
Heat diffusion approach for scientific impact analysis in social media
M Timilsina, M d’Aquin, H Yang
Social Network Analysis and Mining 9 (1), 1-13, 2019
52019
A diffusion-based method for entity search
P Torres-Tramón, M Timilsina, C Hayes
2019 IEEE 13th International Conference on Semantic Computing (ICSC), 16-23, 2019
42019
A 2-layered graph based diffusion approach for altmetric analysis
M Timilsina, H Yang, D Rebholz-Schuhmann
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
42018
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer
SK Mohamed, B Walsh, M Timilsina, M Torrente, F Franco, M Provencio, ...
AMIA Annual Symposium Proceedings 2021, 853, 2021
32021
Synergy Between Embedding and Protein Functional Association Networks for Drug Label Prediction using Harmonic Function
M Timilsina, DP Mc Kernan, H Yang, M D'Aquin
IEEE/ACM transactions on computational biology and bioinformatics, 2020
32020
What identifies different age cohorts in Yahoo! Answers?
A Figueroa, M Timilsina
Knowledge-Based Systems 228, 107278, 2021
12021
Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding
M Timilsina, V Nováček, M d’Aquin, H Yang
Neural Networks 156, 205-217, 2022
2022
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients
A Janik, M Torrente, L Costabello, V Calvo, B Walsh, C Camps, ...
arXiv preprint arXiv:2211.09856, 2022
2022
Machine learning approaches for predicting the onset time of the adverse drug events in oncology
M Timilsina, M Tandan, V Nováček
Machine Learning with Applications 9, 100367, 2022
2022
Graph-based diffusion methods for node classification and link prediction
M Timilsina
NUI Galway, 2020
2020
Predicting Resistance of Commonly Used Antimicrobials in Urinary Tract Infections: A Decision Tree Analysis
M Tandan, M Timilsina, M Cormican, A Vellinga
World Academy of Science, Engineering and Technology, International Journal …, 2017
2017
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학술자료 1–20