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ORCIDMohan Timilsina
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- affiliation: National University of Ireland, Dublin, Ireland
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Journal Articles
- 2024
[j16]Alejandro Figueroa
, Mohan Timilsina:
Textual Pre-Trained Models for Age Screening Across Community Question-Answering. IEEE Access 12: 30030-30038 (2024)- [j15]Saeed Hamood Alsamhi, Ammar Hawbani, Santosh Kumar, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque, Farhan M. A. Nashwan, Liang Zhao, Edward Curry:
Empowering Dataspace 4.0: Unveiling Promise of Decentralized Data-Sharing. IEEE Access 12: 112637-112658 (2024) - [j14]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: 108398 (2024) - [j13]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: 121127 (2024) - 2023
- [j12]Mohan Timilsina, Alejandro Figueroa:
Neural age screening on question answering communities. Eng. Appl. Artif. Intell. 123(Part A): 106219 (2023) - [j11]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: 104424 (2023) - 2022
- [j10]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: 205-217 (2022) - [j9]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): 1203-1213 (2022) - 2021
- [j8]Mohan Timilsina, Alejandro Figueroa, Mathieu d'Aquin, Haixuan Yang:
Semi-supervised regression using diffusion on graphs. Appl. Soft Comput. 104: 107188 (2021) - [j7]Meera Tandan, Yogesh Acharya, Suresh Pokharel, Mohan Timilsina:
Discovering symptom patterns of COVID-19 patients using association rule mining. Comput. Biol. Medicine 131: 104249 (2021) - [j6]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: 6634811:1-6634811:11 (2021) - [j5]Alejandro Figueroa, Mohan Timilsina:
What identifies different age cohorts in Yahoo! Answers? Knowl. Based Syst. 228: 107278 (2021) - 2019
- [j4]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): 462:1-462:20 (2019) - [j3]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: 127-133 (2019) - [j2]Mohan Timilsina, Mathieu d'Aquin, Haixuan Yang:
Heat diffusion approach for scientific impact analysis in social media. Soc. Netw. Anal. Min. 9(1): 16:1-16:13 (2019) - 2017
- [j1]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): 48:1-48:15 (2017)
Conference and Workshop Papers
- 2023
- [c12]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). IEEE Big Data 2023: 190-195 - [c11]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. IEEE Big Data 2023: 1853-1862 - [c10]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. IEEE Big Data 2023: 4712-4721 - [c9]Mohan Timilsina, Saeed H. Alsamhi, Rafiqul Haque, Conor Judge, Edward Curry:
Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation. IEEE Big Data 2023: 4997-5006 - [c8]Rishabh Chandaliya, Mohan Timilsina, John G. Breslin, Martin Serrano:
Towards Graph-Based Semi-Supervised Learning on Audio Embeddings for Label Classification. ICMLA 2023: 1385-1391 - [c7]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: 1-8 - 2022
- [c6]Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys Rodriguez 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 - 2021
- [c5]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 - 2019
- [c4]Pablo Torres-Tramón, Mohan Timilsina, Conor Hayes:
A Diffusion-Based Method for Entity Search. ICSC 2019: 16-23 - 2018
- [c3]Mohan Timilsina, Haixuan Yang, Dietrich Rebholz-Schuhmann:
A 2-Layered Graph Based Diffusion Approach for Altmetric Analysis. ASONAM 2018: 463-466 - 2017
- [c2]Mohan Timilsina, Brian Davis, Michael Taylor, Conor Hayes:
Predicting citations from mainstream news, weblogs and discussion forums. WI 2017: 237-244 - 2016
- [c1]Mohan Timilsina, Brian Davis, Michael Taylor, Conor Hayes:
Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach. ASONAM 2016: 1388-1389
Informal and Other Publications
- 2022
- [i1]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 abs/2211.09856 (2022)
Coauthor Index
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