Mohan Timilsina

34 papers A* 1B 8C 1Misc 2Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Harmonizing foundation models in healthcare: A comprehensive survey of their roles, relationships, and impact in artificial intelligence's advancing terrain. Comput. Biol. Medicine Mohan Timilsina, Samuele Buosi, Muhammad Asif Razzaq, Rafiqul Haque, Conor Judge, Edward Curry
2025	A*	`conf`	KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction. EMNLP Yang Yang, Mohan Timilsina, Edward Curry
2025	J	`jnl`	Large language model vs. traditional machine learning: Evaluating predictive models for early detection of tumor relapse. Expert Syst. Appl. Mohan Timilsina, Samuele Buosi, Maria Torrente, Mariano Provencio, Manuel Cobo, Delvys Rodriguez Abreu, Rafael Castro, Enric Carcereny, Edward Curry, Vít Novácek
2025	J	`jnl`	RAG4DS: Retrieval-Augmented Generation for Data Spaces - A Unified Lifecycle, Challenges, and Opportunities. IEEE Access Majjed Al-Qatf, Rafiqul Haque, Saeed Hamood Alsamhi, Samuele Buosi, Muhammad Asif Razzaq, Mohan Timilsina, Ammar Hawbani, Edward Curry
2024	—	`conf`	BERT-Based Deep Learning for Classification of IgA Nephropathy, Diabetes, and Hypertension from Clinical Notes. BIBM Samuele Buosi, Mohan Timilsina, Luke Harris, Sarah Monahan, Kieran Arthur, Niamh Corcoran, Nina Deacon, Michael Wrynn, Richard Farnan, David Keane, George Mellotte, Donal Reddan, Finn Krewer, Edward Curry, Conor Judge
2024	J	`jnl`	Boosting predictive models and augmenting patient data with relevant genomic and pathway information. Comput. Biol. Medicine Samuele Buosi, Mohan Timilsina, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek
2024	J	`jnl`	Empowering Dataspace 4.0: Unveiling Promise of Decentralized Data-Sharing. IEEE Access Saeed Hamood Alsamhi, Ammar Hawbani, Santosh Kumar, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque, Farhan M. A. Nashwan, Liang Zhao, Edward Curry
2024	J	`jnl`	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. Samuele Buosi, Mohan Timilsina, Adrianna Janik, Luca Costabello, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek
2024	J	`jnl`	Textual Pre-Trained Models for Age Screening Across Community Question-Answering. IEEE Access Alejandro Figueroa, Mohan Timilsina
2023	B	`conf`	Enabling Dataspaces Using Foundation Models: Technical, Legal and Ethical Considerations and Future Trends. IEEE Big Data Mohan Timilsina, Samuele Buosi, Ping Song, Yang Yang, Rafiqul Haque, Edward Curry
2023	B	`conf`	Engineering Data Assets for Public Health Applications: A Covid-19 Case Study. IEEE Big Data Michael Scriney, Mohan Timilsina, Edward Curry, Lukasz Porwol, Dongyun Nie, Darren Dahley, Jaime B. Fernandez, Mathieu d'Aquin, Mark Roantree
2023	B	`conf`	Foundation Data Space Models: Bridging the Artificial Intelligence and Data Ecosystems (Vision Paper). IEEE Big Data Edward Curry, Tarek Zaarour, Yang Yang, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque
2023	B	`conf`	Knowledge Graphs, Clinical Trials, Dataspace, and AI: Uniting for Progressive Healthcare Innovation. IEEE Big Data Mohan Timilsina, Saeed H. Alsamhi, Rafiqul Haque, Conor Judge, Edward Curry
2023	B	`conf`	Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. IJCNN 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
2023	J	`jnl`	Neural age screening on question answering communities. Eng. Appl. Artif. Intell. Mohan Timilsina, Alejandro Figueroa
2023	J	`jnl`	Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. J. Biomed. Informatics 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
2023	C	`conf`	Towards Graph-Based Semi-Supervised Learning on Audio Embeddings for Label Classification. ICMLA Rishabh Chandaliya, Mohan Timilsina, John G. Breslin, Martin Serrano
2022	J	`jnl`	Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding. Neural Networks Mohan Timilsina, Vít Novácek, Mathieu d'Aquin, Haixuan Yang
2022	Misc	`conf`	Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. AMIA 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
2022	J	`jnl`	Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. CoRR 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
2022	J	`jnl`	Synergy Between Embedding and Protein Functional Association Networks for Drug Label Prediction Using Harmonic Function. IEEE ACM Trans. Comput. Biol. Bioinform. Mohan Timilsina, Declan Patrick Mc Kernan, Haixuan Yang, Mathieu d'Aquin
2021	J	`jnl`	Discovering symptom patterns of COVID-19 patients using association rule mining. Comput. Biol. Medicine Meera Tandan, Yogesh Acharya, Suresh Pokharel, Mohan Timilsina
2021	J	`jnl`	Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model. Complex. Basim Mahbooba, Mohan Timilsina, Radhya Sahal, Martin Serrano
2021	Misc	`conf`	On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini
2021	J	`jnl`	Semi-supervised regression using diffusion on graphs. Appl. Soft Comput. Mohan Timilsina, Alejandro Figueroa, Mathieu d'Aquin, Haixuan Yang
2021	J	`jnl`	What identifies different age cohorts in Yahoo! Answers? Knowl. Based Syst. Alejandro Figueroa, Mohan Timilsina
2019	—	`conf`	A Diffusion-Based Method for Entity Search. ICSC Pablo Torres-Tramón, Mohan Timilsina, Conor Hayes
2019	J	`jnl`	Heat diffusion approach for scientific impact analysis in social media. Soc. Netw. Anal. Min. Mohan Timilsina, Mathieu d'Aquin, Haixuan Yang
2019	J	`jnl`	Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach. BMC Bioinform. Mohan Timilsina, Haixuan Yang, Ratnesh Sahay, Dietrich Rebholz-Schuhmann
2019	J	`jnl`	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 Meera Tandan, Mohan Timilsina, Martin Cormican, Akke Vellinga
2018	B	`conf`	A 2-Layered Graph Based Diffusion Approach for Altmetric Analysis. ASONAM Mohan Timilsina, Haixuan Yang, Dietrich Rebholz-Schuhmann
2017	B	`conf`	Predicting citations from mainstream news, weblogs and discussion forums. WI Mohan Timilsina, Brian Davis, Michael Taylor, Conor Hayes
2017	J	`jnl`	Social impact assessment of scientist from mainstream news and weblogs. Soc. Netw. Anal. Min. Mohan Timilsina, Waqas Khawaja, Brian Davis, Michael Taylor, Conor Hayes
2016	B	`conf`	Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach. ASONAM Mohan Timilsina, Brian Davis, Michael Taylor, Conor Hayes