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Ghanshyam Verma
Ghanshyam Verma
Research Associate at University of Galway, Ireland
Bestätigte E-Mail-Adresse bei insight-centre.org - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Time series forecasting using hybrid ARIMA and ANN models based on DWT decomposition
I Khandelwal, R Adhikari, G Verma
Procedia Computer Science 48, 173-179, 2015
3622015
A model ranking based selective ensemble approach for time series forecasting
R Adhikari, G Verma, I Khandelwal
Procedia Computer Science 48, 14-21, 2015
322015
Time Series Forecasting Through a Dynamic Weighted Ensemble Approach
R Adhikari, G Verma
Proceedings of 3rd International Conference on Advanced Computing …, 2016
122016
Deep convolution neural network model to predict relapse in breast cancer
A Jha, G Verma, Y Khan, Q Mehmood, D Rebholz-Schuhmann, R Sahay
17th IEEE International Conference on Machine Learning and Applications …, 2018
92018
GenomicsKG: A knowledge graph to visualize poly-omics data
A Jha, Y Khan, G Verma, D Zehra, Q Mehmood, R Sahay, ...
Journal of Advances in Health 1 (02), 70-84, 2019
32019
Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation
G Verma, A Kumar, D Rebholz-Schuhmann, M G. Madden
13th International Conference on Data Integration in the Life Sciences 2018 …, 2018
32018
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning
G Verma, S Simanta, H Chen, D Pillai, JP McCrae, JA Perge, S Sengupta, ...
Proceedings of the 3rd International Workshop on Online and Adaptive …, 2023
12023
Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification
G Verma, A Jha, D Rebholz-Schuhmann, MG Madden
International Cross-Domain Conference for Machine Learning and Knowledge …, 2019
12019
Enabling personalised disease diagnosis by combining a patient’s time-specific gene expression profile with a biomedical knowledge base
G Verma, D Rebholz-Schuhmann, MG Madden
BMC bioinformatics 25 (1), 62, 2024
2024
Intent Classification by the Use of Automatically Generated Knowledge Graphs
M Arcan, S Manjunath, C Robin, G Verma, D Pillai, S Sarkar, S Dutta, ...
Information 14 (5), 288, 2023
2023
Towards transforming knowledge graph into the probabilistic domain
G Verma, M G. Madden, D Rebholz-Schuhmann
4th Insight Student Conference, 2017
2017
The role of probabilistic graphical models in knowledge graph refinement
G Verma, M G. Madden, D Rebholz-Schuhmann
7th NUIG-UL Post Graduate Research Day, 2017
2017
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