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Ghanshyam Verma
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2020 – today
- 2024
- [j2]Ghanshyam Verma, Dietrich Rebholz-Schuhmann, Michael G. Madden:
Enabling personalised disease diagnosis by combining a patient's time-specific gene expression profile with a biomedical knowledge base. BMC Bioinform. 25(1): 62 (2024) - 2023
- [j1]Mihael Arcan, Sampritha H. Manjunath, Cécile Robin, Ghanshyam Verma, Devishree Pillai, Simon Sarkar, Sourav Dutta, Haytham Assem, John P. McCrae, Paul Buitelaar:
Intent Classification by the Use of Automatically Generated Knowledge Graphs. Inf. 14(5): 288 (2023) - [i1]Ghanshyam Verma, Shovon Sengupta, Simon Simanta, Huan Chen, Janos A. Perge, Devishree Pillai, John P. McCrae, Paul Buitelaar:
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning. CoRR abs/2307.04996 (2023)
2010 – 2019
- 2019
- [c3]Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden:
Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification. CD-MAKE 2019: 147-167 - 2018
- [c2]Ghanshyam Verma, Alokkumar Jha, Dietrich Rebholz-Schuhmann, Michael G. Madden:
Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation. DILS 2018: 105-121 - [c1]Alokkumar Jha, Ghanshyam Verma, Yasar Khan, Qaiser Mehmood, Dietrich Rebholz-Schuhmann, Ratnesh Sahay:
Deep Convolution Neural Network Model to Predict Relapse in Breast Cancer. ICMLA 2018: 351-358
Coauthor Index
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last updated on 2024-04-24 23:01 CEST by the dblp team
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