Mohan Timilsina retweeted
Delighted to be in the @GalwayIdeasLab this evening learning about artificial intelligence (AI) and teasing our the role Public and Patient Involvement can have to support this phenomena.
Mohan Timilsina retweeted
Mathematics. A Universe of Linear Algebra.
Welcome to Matrix World.
Source: github.com/kenjihiranabe/The…
Mohan Timilsina retweeted
I am delighted to share that our research in Chronic Kidney Disease got best abstract award in prestigious European Renal Association (61st ERA-20024) Congress in Stockholm, Sweden ☺️☺️😃. #ERA2024, @austingstack, @MedicineAtUL @UL_Research @UL, @ERAkidney
I am thrilled to chair a session and present my work "Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient" at the International Joint Conference of Neural Networks (IJCNN 2023, Gold Coast, Australia )! @galwayDSI @insight_centre #IJCNN2023
Our work on "Neural age screening on question answering communities" is now officially published in "Engineering Applications of Artificial Intelligence" [IF: 7.8]. @galwayDSI @insight_centre sciencedirect.com/science/ar…
Our paper "Machine Learning Survival Models for Relapse Prediction in an Early Stage Lung Cancer Patient'" has been accepted in the International Joint Conference on Neural Networks (IJCNN) (2023.ijcnn.org/). In this work, we explored off-the-shelf survival models to
predict the relapse of early-stage lung cancer patients. We analyzed the survival models on a cohort of early-stage non-small cell lung cancer(NSCLC) patients in different timestamps. Using the prediction explanation model SHAP (SHapley Additive exPlanations), we further
Mohan Timilsina retweeted
Next for World Health Day is Dr Mohan Timilsina's work in Insight @uniofgalway, using #AI and data to drive better and more personalised #cancer care. Read about it here:insight-centre.org/world-hea…
@Scienceirel @dcu @ucc @ucddublin
Our work "Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding" is now published in Neural Networks [IF:9.657] sciencedirect.com/science/ar… @galwayDSI, @mdaquin,@insight_centre
Our work predicting the onset time of the adverse drug events in oncology is published. Several traditional tabular, matrix factorisation, graph-based semi supervised and embedding machine learning models are tested in FAERS data.@MeeraTandan @DSIatNUIG sciencedirect.com/science/ar…
Mohan Timilsina retweeted
XGBoost Is All You Need
Deep Neural Networks and Tabular Data: A Survey
arxiv.org/pdf/2110.01889.pdf
Mohan Timilsina retweeted
Interpretable ML/XAI recent PhD graduate looking for openings? Say no more! Check out this 2y PostDoc opening with @adrian_weller, in partnership with @turinginst and Accenture Labs et al. Few days left to apply!
cezanneondemand.intervieweb.…
Virtually presented our work "On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer" at #AMIA2021, @DSIatNUIG @Clarify2020
Mohan Timilsina retweeted
The @Clarify2020 project is recruiting! Join @nuigalway as Research Associate to help us with interpretable ML for oncological treatment. Deadline: *Oct 29*! /cc @PMinervini @adri_janik @mohan_timilsina
nuigalway.ie/media/humanreso…
Our collaborative work to identify the different age cohorts in Yahoo! Answers is now published in Knowledge Based Systems (IF: 8.038) @DSIatNUIG sciencedirect.com/science/ar…
Mohan Timilsina retweeted
3 fully funded #PhD positions on research with health data in the @hrbireland @CARAnetwork1 project led by @Dr_Akke. Training in the @sphereprogramme. See details at caranetwork.ie @drccostelloe @porwolluke @AjayOza_Actual @ResearchatNUIG @DSIatNUIG
Mohan Timilsina retweeted
Docker for absolute beginners — what is Docker and how to use it (+ examples) by Mike Huls buff.ly/2TtRgYc
Mohan Timilsina retweeted
GMM: Gaussian Mixture Models — How to Successfully Use It to Cluster Your Data? by @SolClover buff.ly/3ufq7oH
Mohan Timilsina retweeted
Machine Learning Prediction in Real Time Using Docker and Python REST APIs with Flask by @VasquesXavier buff.ly/3t89Z7X


















