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 (DILS, 2018)

Deep Convolution Neural Network Model to Predict Relapse in Breast Cancer. - Alokkumar Jha; Ghanshyam Verma; Yasar Khan; Qaiser Mehmood 001; Dietrich Rebholz-Schuhmann; Ratnesh Sahay (ICMLA, 2018)

Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification. - Ghanshyam Verma; Alokkumar Jha; Dietrich Rebholz-Schuhmann; Michael G. Madden (CD-MAKE, 2019)

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)

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 001; Haytham Assem; John P. McCrae; Paul Buitelaar (Inf., 2023)

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 (KBC-LM/LM-KBC@ISWC, 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., 2024)