Ontology Guided Data Linkage Framework for Discovering Meaningful Data Facts. - Mohammed Gollapalli; Xue Li 001; Ian A. Wood; Guido Governatori (ADMA (2), 2011)

Approximate Record Matching Using Hash Grams. - Mohammed Gollapalli; Xue Li 001; Ian A. Wood; Guido Governatori (ICDM Workshops, 2011)

A framework of Ontology Guided Data Linkage for evidence based knowledge extraction and information sharing. - Mohammed Gollapalli (ICDE Workshops, 2013)

Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning. - Mohammed Gollapalli; Xue Li 001; Ian A. Wood (Data Knowl. Eng., 2013)

Data linkage for querying heterogeneous databases - Mohammed Gollapalli (2013)

Literature Review Of Attribute Level And Structure Level Data Linkage Techniques. - Mohammed Gollapalli (CoRR, 2015)

A Critical Review of Data Mining Techniques Used for the Management of Sickle Cell Disease. - Aljawharah Alfaleh; Mohammed Gollapalli (ICCMS, 2020)

Advance Genome Disorder Prediction Model Empowered With Deep Learning. - Atta-ur-Rahman 001; Muhammad Umar Nasir; Mohammed Gollapalli; Muhammad Zubair 001; Muhammad Aamer Saleem; Shahid Mehmood; Muhammad Adnan Khan 001; Amir Mosavi (IEEE Access, 2022)

Ensemble Machine Learning Model to Predict the Waterborne Syndrome. - Mohammed Gollapalli (Algorithms, 2022)

A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: Pre-diabetes, T1DM, and T2DM. - Mohammed Gollapalli; Aisha Alansari; Heba Alkhorasani; Meelaf Alsubaii; Rasha Sakloua; Reem Alzahrani; Mohammed Al-Hariri; Maiadah Alfares; Dania AlKhafaji; Reem Al Argan; Waleed Albaker (Comput. Biol. Medicine, 2022)

Rainfall Prediction System Using Machine Learning Fusion for Smart Cities. - Atta-ur-Rahman 001; Sagheer Abbas; Mohammed Gollapalli; Rashad Ahmed; Shabib Aftab; Munir Ahmad; Muhammad Adnan Khan 001; Amir Mosavi (Sensors, 2022)

A Novel Metadata Based Multi-Label Document Classification Technique. - Naseer Ahmed Sajid; Munir Ahmad; Atta-ur-Rahman 001; Gohar Zaman; Mohammed Salih Ahmed; Nehad Ibrahim; Mohammed Imran Basheer Ahmed; Gomathi Krishnasamy; Reem Alzaher; Mariam Alkharraa; Dania Alkhulaifi; Maryam Alqahtani; et al. (Comput. Syst. Sci. Eng., 2023)

Appendicitis Diagnosis: Ensemble Machine Learning and Explainable Artificial Intelligence-Based Comprehensive Approach. - Mohammed Gollapalli; Atta Rahman 001; Sheriff A. Kudos; Mohammed S. Foula; Abdullah Mahmoud Alkhalifa; Hassan Mohammed Albisher; Mohammed Taha Al-Hariri; Nazeeruddin Mohammad (Big Data Cogn. Comput., 2024)