Mohan Timilsina

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Clinical Information

Graph Embedding

Top Venues

Soc. Netw. Anal. Min.

Comput. Biol. Medicine

Publications

Samuele Buosi, Mohan Timilsina, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek
Boosting predictive models and augmenting patient data with relevant genomic and pathway information. Comput. Biol. Medicine 174 (2024)
Samuele Buosi, Mohan Timilsina, Adrianna Janik, Luca Costabello, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek
Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings. Expert Syst. Appl. 235 (2024)
Mohan Timilsina, Saeed Alsamhi, Rafiqul Haque, Conor Judge, Edward Curry
Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation. BigData (2023)
Edward Curry, Tarek Zaarour, Yang Yang, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque
Foundation Data Space Models: Bridging the Artificial Intelligence and Data Ecosystems (Vision Paper). BigData (2023)
Mohan Timilsina, Alejandro Figueroa
Neural age screening on question answering communities. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Michael Scriney, Mohan Timilsina, Edward Curry, Lukasz Porwol, Dongyun Nie, Darren Dahley, Jaime B. Fernandez, Mathieu d'Aquin, Mark Roantree
Engineering Data Assets for Public Health Applications: A Covid-19 Case Study. BigData (2023)
Rishabh Chandaliya, Mohan Timilsina, John G. Breslin, Martin Serrano
Towards Graph-Based Semi-Supervised Learning on Audio Embeddings for Label Classification. ICMLA (2023)
Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. IJCNN (2023)
Mohan Timilsina, Samuele Buosi, Ping Song, Yang Yang, Rafiqul Haque, Edward Curry
Enabling Dataspaces Using Foundation Models: Technical, Legal and Ethical Considerations and Future Trends. BigData (2023)
Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Pasquale Minervini, Maria Torrente, Mariano Provencio, Vít Novácek
Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. J. Biomed. Informatics 144 (2023)
Mohan Timilsina, Declan Patrick Mc Kernan, Haixuan Yang, Mathieu d'Aquin
Synergy Between Embedding and Protein Functional Association Networks for Drug Label Prediction Using Harmonic Function. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Mohan Timilsina, Vít Novácek, Mathieu d'Aquin, Haixuan Yang
Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding. Neural Networks 156 (2022)
Adrianna Janik, Maria Torrente, Luca Costabello, Virginia Calvo, Brian Walsh, Carlos Camps, Sameh K. Mohamed, Ana L. Ortega, Vít Novácek, Bartomeu Massutí, Pasquale Minervini, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Ernestina Menasalvas, Mohan Timilsina, Mariano Provencio
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. CoRR (2022)
Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Maria Guirado, Pasquale Minervini, Vít Novácek
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. AMIA (2022)
Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA (2021)
Basim Mahbooba, Mohan Timilsina, Radhya Sahal, Martin Serrano
Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model. Complex. 2021 (2021)
Mohan Timilsina, Alejandro Figueroa, Mathieu d'Aquin, Haixuan Yang
Semi-supervised regression using diffusion on graphs. Appl. Soft Comput. 104 (2021)
Alejandro Figueroa, Mohan Timilsina
What identifies different age cohorts in Yahoo! Answers? Knowl. Based Syst. 228 (2021)
Meera Tandan, Yogesh Acharya, Suresh Pokharel, Mohan Timilsina
Discovering symptom patterns of COVID-19 patients using association rule mining. Comput. Biol. Medicine 131 (2021)
Mohan Timilsina, Mathieu d'Aquin, Haixuan Yang
Heat diffusion approach for scientific impact analysis in social media. Soc. Netw. Anal. Min. 9 (1) (2019)
Mohan Timilsina, Haixuan Yang, Ratnesh Sahay, Dietrich Rebholz-Schuhmann
Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach. BMC Bioinform. 20 (1) (2019)
Pablo Torres-Tramón, Mohan Timilsina, Conor Hayes
A Diffusion-Based Method for Entity Search. ICSC (2019)
Meera Tandan, Mohan Timilsina, Martin Cormican, Akke Vellinga
Role of patient descriptors in predicting antimicrobial resistance in urinary tract infections using a decision tree approach: A retrospective cohort study. Int. J. Medical Informatics 127 (2019)
Mohan Timilsina, Haixuan Yang, Dietrich Rebholz-Schuhmann
A 2-Layered Graph Based Diffusion Approach for Altmetric Analysis. ASONAM (2018)
Mohan Timilsina, Brian Davis, Michael Taylor, Conor Hayes
Predicting citations from mainstream news, weblogs and discussion forums. WI (2017)
Mohan Timilsina, Waqas Khawaja, Brian Davis, Michael Taylor, Conor Hayes
Social impact assessment of scientist from mainstream news and weblogs. Soc. Netw. Anal. Min. 7 (1) (2017)
Mohan Timilsina, Brian Davis, Michael Taylor, Conor Hayes
Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach. ASONAM (2016)