Ghanshyam Verma

According to our database, Ghanshyam Verma authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enabling personalised disease diagnosis by combining a patient's time-specific gene expression profile with a biomedical knowledge base.

Ghanshyam Verma, Dietrich Rebholz-Schuhmann, Michael G. Madden

BMC Bioinform., December, 2024

HybridContextQA: A Hybrid Approach for Complex Question Answering using Knowledge Graph Construction and Context Retrieval with LLMs.

Ghanshyam Verma, Simanta Sarkar, Devishree Pillai, Hotaka Shiokawa, Hamed Shahbazi, Fiona Veazey, Peter Hubbert, Hui Su, Paul Buitelaar

Proceedings of the Joint proceedings of the 2nd workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM 2024) and the 3rd challenge on Language Models for Knowledge Base Construction (LM-KBC 2024) co-located with the 23nd International Semantic Web Conference (ISWC 2024), 2024

2023

Intent Classification by the Use of Automatically Generated Knowledge Graphs.

Mihael Arcan, Sampritha H. Manjunath, Cécile Robin, Ghanshyam Verma, Devishree Pillai, Simon Sarkar, Sourav Dutta, Haytham Assem, John P. McCrae, Paul Buitelaar

Inf., May, 2023

Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning.

Ghanshyam Verma, Shovon Sengupta, Simon Simanta, Huan Chen, Janos A. Perge, Devishree Pillai, John P. McCrae, Paul Buitelaar

CoRR, 2023

2019

Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification.

Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden

Proceedings of the Machine Learning and Knowledge Extraction, 2019

2018

Deep Convolution Neural Network Model to Predict Relapse in Breast Cancer.

Alokkumar Jha, Ghanshyam Verma, Yasar Khan, Qaiser Mehmood, Dietrich Rebholz-Schuhmann, Ratnesh Sahay

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation.

Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden

Proceedings of the Data Integration in the Life Sciences - 13th International Conference, 2018