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Mohan Timilsina
Mohan Timilsina
Insight Centre for Data Analytics, National University of Ireland Galway
Verified email at insight-centre.org
Title
Cited by
Cited by
Year
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 (1), 6634811, 2021
2792021
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
1182021
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), 10436, 2019
392019
Semi-supervised regression using diffusion on graphs
M Timilsina, A Figueroa, M d’Aquin, H Yang
Applied Soft Computing 104, 107188, 2021
302021
Machine learning–assisted recurrence prediction for patients with early-stage non–small-cell lung cancer
A Janik, M Torrente, L Costabello, V Calvo, B Walsh, C Camps, ...
JCO Clinical Cancer Informatics 7, e2200062, 2023
192023
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
182019
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, 1-20, 2019
172019
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
162016
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, 1-15, 2017
152017
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, 2022
132022
What identifies different age cohorts in Yahoo! Answers?
A Figueroa, M Timilsina
Knowledge-Based Systems 228, 107278, 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
102017
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
72020
Heat diffusion approach for scientific impact analysis in social media
M Timilsina, M d’Aquin, H Yang
Social Network Analysis and Mining 9, 1-13, 2019
72019
Explaining customer churn prediction in telecom industry using tabular machine learning models
SS Poudel, S Pokharel, M Timilsina
Machine Learning with Applications 17, 100567, 2024
62024
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
62022
Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings
S Buosi, M Timilsina, A Janik, L Costabello, M Torrente, M Provencio, ...
Expert Systems with Applications 235, 121127, 2024
52024
Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation
M Timilsina, S Alsamhi, R Haque, C Judge, E Curry
2023 IEEE International Conference on Big Data (BigData), 4997-5006, 2023
52023
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
52019
Integration of clinical information and imputed aneuploidy scores to enhance relapse prediction in early stage lung cancer patients
M Timilsina, S Buosi, D Fey, A Janik, M Torrente, M Provencio, AC Bermu, ...
AMIA Annual Symposium Proceedings 2022, 1062, 2023
42023
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