Mohan Timilsina

发表

Machine learning approaches for predicting the onset time of the adverse drug events in oncology

V. Nováček, M. Tandan, Mohan Timilsina, 2022, Machine Learning with Applications.

Spatial explicit model to visualize the spread of epidemic disease in a network

Hideaki Takeda, R. Duboz, Mohan Timilsina, 2012 .

Predicting citations from mainstream news, and discussion forum

Conor Hayes, Michael Taylor, Mohan Timilsina, 2019 .

Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding

Haixuan Yang, M. d’Aquin, Mohan Timilsina, 2022, Neural Networks.

On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer

Sameh K. Mohamed, Pontus Stenetorp, Pasquale Minervini, 2021, AMIA.

Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients

Sameh K. Mohamed, J. Bosch-Barrera, Pasquale Minervini, 2022, ArXiv.

Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach

R. Sahay, D. Rebholz-Schuhmann, Haixuan Yang, 2019, BMC Bioinformatics.

Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model

Radhya Sahal, Martin Serrano, Mohan Timilsina, 2021, Complex..

Discovering symptom patterns of COVID-19 patients using association rule mining

M. Tandan, Y. Acharya, Mohan Timilsina, 2021, Computers in Biology and Medicine.

Discovering Links Between Side Effects and Drugs Using a Diffusion Based Method

Haixuan Yang, M. d’Aquin, M. Tandan, 2019, Scientific Reports.

Semi-supervised regression using diffusion on graphs

Mathieu d'Aquin, Haixuan Yang, Alejandro Figueroa, 2021, Appl. Soft Comput..

Synergy Between Embedding and Protein Functional Association Networks for Drug Label Prediction Using Harmonic Function

Haixuan Yang, Mohan Timilsina, Declan Patrick Mc Kernan, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach

Brian Davis, Conor Hayes, Mohan Timilsina, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Predicting citations from mainstream news, weblogs and discussion forums

Brian Davis, Conor Hayes, Mohan Timilsina, 2017, WI.

Role of patient descriptors in predicting antimicrobial resistance in urinary tract infections using a decision tree approach: A retrospective cohort study

Mohan Timilsina, Meera Tandan, Martin Cormican, 2019, Int. J. Medical Informatics.

What identifies different age cohorts in Yahoo! Answers?

Mohan Timilsina, Alejandro Figueroa, Mohan Timilsina, 2021, Knowl. Based Syst..

Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer

V. Nováček, Pasquale Minervini, D. Fey, 2023, J. Biomed. Informatics.

Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient

V. Nováček, J. Bosch-Barrera, Pasquale Minervini, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients

V. Nováček, Pasquale Minervini, D. Fey, 2022, American Medical Informatics Association Annual Symposium.

Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings

V. Nováček, D. Fey, M. Provencio, 2023, Expert systems with applications.

Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer

Sameh K. Mohamed, V. Nováček, J. Bosch-Barrera, 2023, JCO clinical cancer informatics.

Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach

Dietrich Rebholz-Schuhmann, Haixuan Yang, Ratnesh Sahay, 2019, BMC Bioinformatics.

Discovering Links Between Side Effects and Drugs Using a Diffusion Based Method

Haixuan Yang, Mohan Timilsina, Meera Tandan, 2019, Scientific Reports.

Heat diffusion approach for scientific impact analysis in social media

Mathieu d'Aquin, Haixuan Yang, Mohan Timilsina, 2019, Social Network Analysis and Mining.

Social impact assessment of scientist from mainstream news and weblogs

Brian Davis, Conor Hayes, Mohan Timilsina, 2017, Social Network Analysis and Mining.

Explaining customer churn prediction in telecom industry using tabular machine learning models

Mohan Timilsina, Sumana Sharma Poudel, Suresh Pokharel, 2024, Machine Learning with Applications.

Machine Learning Approaches for Predicting the Onset Time of the Adverse Drug Events in Oncology

V. Nováček, M. Tandan, Mohan Timilsina, 2022, SSRN Electronic Journal.